THE ROLE OF MYCOPLASMA SYNOVIAE IN COMMERCIAL LAYER E.COLI
PERITONITIS SYNDROME AND MYCOPLASMA GALLISEPTICUM
INTRASPECIFIC DIFFERENTIATION METHODS
by
ZIV RAVIV
(Under the Direction of Stanley H. Kleven and Zhen Fu)
ABSTRACT
Mycoplasmas are bacteria that belong to the class Mollicutes. Mycoplasmas are found in humans and animals, and the species that were recognized as pathogens of domestic poultry include Mycoplasma gallisepticum (MG) and Mycoplasma synoviae
(MS) in chickens and turkeys, and Mycoplasma meleagridis and Mycoplasma iowae in turkeys.
MS is an important pathogen of domestic poultry, and is prevalent in commercial
layers. During the last decade Escherichia coli (E. coli) peritonitis became a major cause
of layer mortality. Commercial layers at the onset of lay were challenged through the
respiratory tract with a virulent MS strain or a virulent avian E. coli strain, or both. A
significant E. coli peritonitis mortality was detected in the MS plus E. coli challenged
group, and severe tracheal lesions and moderate body cavity lesions were detected only in
the MS challenged groups. The results demonstrate a possible pathogenesis mechanism
of respiratory origin to the layer E. coli peritonitis syndrome, show the MS pathological effect in layers, and suggest that a virulent MS strain can act as a complicating factor in
the layer E. coli peritonitis syndrome.
MG is the most pathogenic and economically significant mycoplasma pathogen of
poultry. It has become increasingly important to differentiate between MG strains and
isolates. We designed a specific and sensitive polymerase chain reaction (PCR) for the
amplification of the complete MG intergenic spacer region (IGSR) segment. The MG
IGSR sequence was found to be highly variable (discrimination (D) index of 0.950)
among a variety of MG laboratory strains, vaccine strains, and field isolates. The
sequencing of the MG IGSR appears to be a valuable single-locus sequence typing
(SLST) tool for MG isolate differentiation in diagnostic cases and epizootiological
studies.
MG control with live vaccines was demonstrated to efficacious, and the development of live vaccines usually requires the involvement of several vaccine and
challenge strains. We developed real-time PCR assays that absolutely differentiated
between the five commercial and laboratory vaccine strains: F, ts-11, 6/85, K5831,
K5054, and the common challenge strain Rlow. The assay was also tested in vivo and
successfully differentiated between the vaccine and the challenge strains in a quantitative
manner.
INDEX WORDS: Mycoplasma synoviae, commercial layers, Escherichia coli,
peritonitis, Mycoplasma gallisepticum, 16S rRNA, 23S rRNA, Intergenic Spacer Region,
Polymerase Chain Reaction, Single-Locus Sequence Typing, live MG vaccine, real-time
PCR, dual-labeled probe.
THE ROLE OF MYCOPLASMA SYNOVIAE IN COMMERCIAL LAYER E.COLI
PERITONITIS SYNDROME AND MYCOPLASMA GALLISEPTICUM INTRASPECIFIC
DIFFERENTIATION METHODS
by
ZIV RAVIV
B.Sc., Tel-Aviv University, Israel, 1986
D.V.M., The Hebrew University of Jerusalem, Israel, 1991
A Dissertation Submitted to the Graduate Faculty of the University of Georgia in Partial
Fulfillment of the Requirements for the Degree
DOCTOR OF PHILOSOPHY
ATHENS, GEORGIA
2007
© 2007
Ziv Raviv
All Rights Reserved
THE ROLE OF MYCOPLASMA SYNOVIAE IN COMMERCIAL LAYER E.COLI
PERITONITIS SYNDROME AND MYCOPLASMA GALLISEPTICUM INTRASPECIFIC
DIFFERENTIATION METHODS
by
ZIV RAVIV
Major Professors: Stanley H. Kleven
Zhen Fu
Committee: Liliana Jaso-Friedmann
Mark W. Jackwood
Electronic Version Approved:
Maureen Grasso Dean of the Graduate School The University of Georgia May 2007
iv
DEDICATION
“I remember the devotion of your youth, how you loved me as a bride, following me in the desert, in a land unsown”. (Jeremiah 2.2).
This dissertation is dedicated to my beloved wife Ronit, who joined me on this unusual journey and unconditionally supported me along the way.
v
ACKNOWLEDGEMENTS
Firstly, I would like to acknowledge my major professor Dr. Stanley H. Kleven, who
encouraged me to take this journey in the middle of my career, was there for me when things did
not go according to the plan, and led me in his unique way to places that I would never reach
without him. Sadly, I acknowledge the enormous contribution and dedication to my program of my co-major professor Dr. Barry B. Harmon who passed away in January 2007. A special acknowledgement to our department head Dr. John Glisson, for supporting my program and for making it all possible. I would like to thank the members of my committee Dr. Zhen Fu, Dr.
Lillian Jaso-Friedmann and Dr. Mark W. Jackwood for their guidance. Without the help of the staff and students at the Poultry Diagnostic and Research Center this would have been a near impossible task. I would like to thank especially my labmates Dr. Naola Ferguson, Mrs. Victoria
Laibinis, and Mrs. Ruth Wooten for looking after me during these years.
vi
TABLE OF CONTENTS
Page
ACKNOWLEDGEMENTS ...... v
CHAPTER
1 INTRODUCTION…………………………………………………………….…..1
References ...... 6
2 LITERATURE REVIEW...... 13
The Class Mollicutes……………………………………………………………..13
The Genus Mycoplasma………………………………………………………….20
Avian Mycoplasmas………………………………………………………..….…23
Mycoplasma gallisepticum…………………………………………………….....24
Mycoplasma synoviae……………………………………………………………34
Diagnosis of Mycoplasma gallisepticum and Mycoplasma synoviae……..….….36
Epizootiology and Strain Differentiation in Avian Mycoplasmology…….……..38
References ...... 41
3 ROLE OF MYCOPLASMA SYNOVIAE IN COMMERCIAL LAYER E. COLI
PERITONITIS...... 74
Introduction ...... 77
Materials and Methods ...... 78
Results...... 83
Discussion...... 86 vii
References...... 89
4 THE MYCOPLASMA GALLISEPTICUM 16S-23S rRNA INTERGENIC
SPACER REGION SEQUENCE, AS A NOVEL TOOL FOR
EPIZOOTIOLOGICAL STUDIES……………………………………………...99
Introduction ...... 102
Materials and Methods ...... 104
Results...... 107
Discussion...... 108
References...... 111
5 INTRASPECIFIC DIFFERENTIATION REAL-TIME PCR FOR
MYCOPLASMA GALLISEPTICUM LIVE VACCINE EVALUATION...... 122
Introduction ...... 125
Materials and Methods ...... 127
Results...... 131
Discussion...... 133
References...... 136
6 DISCUSSION AND CONCLUSIONS...... 150
References ...... 157
1
CHAPTER 1
INTRODUCTION
Poultry production has changed dramatically during the last half century. It has turned industrialized and integrated with high throughput and continues production complexes; in other words, large multiage operations in confined geographical areas. This cost driven trend made the poultry industry highly efficient but also vulnerable to some infectious disease hazards. One such group of disease agents are the avian mycoplasmas, due to the chronic disease and the life long infection that they cause. Avian mycoplasmas, predominantly Mycoplasma gallisepticum (MG),
became to be one of the costliest diseases problems to commercial poultry production. The
currently available measures for the control of avian mycoplasmas offer only a partial relief, and
the search for better diagnostics, infection source tracing and prophylactic methods for avian
mycoplasmas continue.
This research focused on current problems in the area of avian mycoplasmology from the
perspective of the Mycoplasma Laboratory in the Poultry Diagnostic and Research Center, the
University of Georgia. The research was composed of 3 different studies. The first study of this
research focused on the role of endemic Mycoplasma synoviae (MS) infection in US commercial
layer complexes, and whether MS challenge at the onset of lay could be associated with the
increase in E. coli peritonitis mortality reported during the last decade. The two other studies
focused on the development of MG intraspecific differentiation methods for infection tracking
and live vaccine evaluation purposes. 2
Mycoplasma synoviae is an important pathogen of domestic poultry, causing economic losses to the poultry industry (16). The role of MS in egg production of commercial layers is questionable. Previous studies have revealed that MS infection is rather common in commercial layers (6, 10, 26). In the US table egg industry, most pullets are MS free in the rearing phase but become infected with MS after their introduction into the multiage laying complexes. The economic impact of MS infection in layers is usually estimated to be low because little or no effect either on egg production (2, 27) or egg quality has been reported (2, 23). During the last decade Escherichia coli (E. coli) peritonitis has been considered to be a major cause of layer mortality in the US and other countries (Kenton Kreager, personal communication, 33). Layer E. coli peritonitis is characterized by acute mortality without prior morbidity or significant impact on egg production. Peritonitis with yolk material deposited in the body cavity and polyserositis are the two main necropsy observations associated with the disease. The occurrence of E. coli peritonitis in layer flocks appears to have two mortality peaks along the laying cycle. The first increase in mortality occurs around the peaking period in egg production, and suspected to be of respiratory origin. The second increase in mortality is observed during the late lay period at the age of fifty weeks and onward, and suspected to be of vent origin due to vent trauma (Kenton
Kreager, personal communication). The increase in mortality due to the E. coli peritonitis which occurs during the peaking period varies between few tenths of percent to over one percent per week in severe cases (33). Field impressions suggested that some layer flocks suffer from the peaking period E. coli peritonitis mortality simultaneously with the point in time when they turn serologically positive for MS. Scientific reports on layer E. coli peritonitis are scarce, but in a flock survey conducted by Vandekerchove et al. no association could be found between outbreaks of E. coli peritonitis mortality and infection with MG, MS or other avian respiratory 3
pathogens (34). This study addressed the query whether MS challenge at the onset of lay could
be associated with the reported E. coli peritonitis mortality during the peaking period. The study results demonstrated a possible pathogenesis mechanism of respiratory origin to the layer E. coli
peritonitis syndrome, showed the MS pathological effect in layers, and suggested that a virulent
MS strain can act as a complicating factor in the layer E. coli peritonitis syndrome.
MG is the most pathogenic and economically significant mycoplasma pathogen of
poultry. Economic losses from condemnation or downgrading of carcasses, reduced feed and egg production efficiency, and increased medication costs are additional factors that make this one of the costliest disease problems confronting commercial poultry production worldwide (21). It has
become increasingly important to develop methods to characterize and identify MG strains and
strain variability. Reliable methods for the differentiation of MG strains play a pivotal role in
understanding the epizootiology and spread of the disease because they generate the information
necessary to identify and track new outbreaks. Also, the increased use of live MG vaccines
requires more powerful tools to trace the source of infection and to differentiate vaccine strains
from circulating field isolates. Recognition of intraspecific (strain) genotypic and phenotypic heterogeneity may be done by serologic methods (18, 30) or electrophoretic analysis of cell
proteins (15). However, molecular techniques can be more sensitive and discriminatory for the
differentiation of MG strains (22). Sequencing methods have been introduced as a new
approach for studying the molecular epidemiology of bacterial pathogens (5). Multilocus
sequence typing (MLST) of housekeeping genes has been demonstrated to be a highly
transferable typing method, readily applicable to a wide variety of bacteria, which has
contributed to the understanding of global epidemiology and population structure of infectious
diseases (24). Also the sequencing of a single variable chromosomal locus (single-locus 4
sequence typing (SLST)) was demonstrated as a promising approach for the detection of
bacterial strain variation (19). It was demonstrated recently that gene-targeted sequencing (GTS) analysis of MG surface-protein genes is a reproducible typing method with satisfactory
discriminatory power to separate isolates from unrelated outbreaks, and to identify closely related isolates (7). Unlike other widely used MG typing methods the sequencing methods do not require the isolation of the tested organism in a pure culture. Mixed infection with MG and saprophytic mycoplasmas is a common occurrence in poultry flocks (25), and the independence of the sequencing methods on the recovery of MG in a pure culture is a significant advantage.
Some of the genes coding for rRNA molecules of the genus Mycoplasma are organized in operons and arranged in the order 5’ 16S-23S-5S 3’ in which the individual rRNA genes are separated by internal transcribed spacer regions. The intergenic spacer region (IGSR) between the 16S and 23S rRNA genes of mycoplasmas has been shown to lack tRNA genes and to be variable in sequence and length among mycoplasma species (32). It has been used as a genetic marker for comparing phylogenetic relationships of genetically closely related species among not only the mycoplasmas (12, 31), but also other bacterial species (9, 11, 13, 20). MG contains two sets of rRNA genes (5S, 16S, and 23S) in its genome, but only one of the two is organized in an operon cluster and contains a unique 660 nucleotide IGSR between the 16S and the 23S rRNA genes (28). This study objective was to determine the level of the intraspecific genotypic polymorphism of the MG 16S-23S rRNA IGSR, and to evaluate the discriminatory power of this single chromosomal locus for MG isolates. Sequencing of the MG IGSR appears to be a valuable
single-locus sequence typing (SLST) tool for MG isolate differentiation in diagnostic cases and
epizootiological studies. 5
MG traditional prevention and control programs were based on strict biosecurity,
surveillance (serology, culture, and molecular identification), and eradication of infected breeder
flocks. The rapid expansion of poultry production in restricted geographical areas and the
consequent recurring MG outbreaks necessitated the implementation of additional
measurements. Vaccination with live MG vaccines has become an accepted management tool for
the control of MG in chickens and in some situations it is the preferred control option, particularly when multiple age flocks are housed on the same site (3). Currently there are 3 commercially licensed vaccines, containing living cultures of either F (1), 6/85 (4) or ts-11 (35) strains of MG. Live vaccine development and evaluation require studies that involve two or more
MG strains in the same experimental setup. Protection study formats can include only one vaccine strain and one challenge strain (29), or a few vaccine strains in different experimental groups challenged by the same virulent strain (8). Displacement studies, to evaluate the capability of vaccine strains to displace a virulent strain, utilize several vaccine strains and a challenge strain (17). The study of the immune mechanisms by which the MG vaccines conferred protection from challenge also requires the involvement of at least two strains (14). In all the different MG live-vaccine evaluation study formats the involved strains could not be well differentiated and analyzed separately from one another once they were introduced into the experimental system. This lack of ability to differentiate between the participating strains limits the level of control and the amount of information that could be gained from MG vaccine evaluation studies. This study objective was to develop a research tool to allow the qualitative and quantitative differentiation between MG strains utilized in vaccine evaluation studies and to improve the reliability and efficiency of these studies. A real-time PCR with a dual-labeled probe
(TaqMan) has several advantages for microorganisms strain differentiation: the superior 6 sensitivity (detection of 1 to 10 copies per 5 µl sample); improved specificity endowed by 3 hybridizing oligo nucleotides (two primers and a probe); the inherent quantitative nature of the reaction; the possibility of detecting more then one reaction product by using several fluorescent dyes (multiplex reaction); and the convenience of a one step reaction. This study present the concept of quantitative strain differentiating real-time PCR for the differentiation between MG strains in live vaccine evaluation studies.
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7. Ferguson, N. M., Hepp, D ., Sun, S ., Ikuta, N ., Levisohn, S ., Kleven, S. H., Garcia, M. Use of
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8. Ferguson, N. M., Leiting, V. A., Kleven, S. H. Safety and efficacy of the avirulent
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9. Graham, T. A., Golsteyn-Thomas, E. J., Thomas, J. E. and Gannon, V. P. J. Inter- and
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22. Ley, H. D. Mycoplasma gallisepticum Infection. Ethiology. In: Diseases of Poultry, 11th ed.
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S. J. A modified live Mycoplasma gallisepticum vaccine to protect chickens from respiratory disease. Vaccine 20: 3709–3719. 2002.
30. Rosengarten, R., and D. Yogev. Variant colony surface antigenic phenotypes within
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13
CHAPTER 2
LITERATURE REVIEW
The Class Mollicutes
Mycoplasmas belong to the class Mollicutes which is derived from the Latin ‘mollis’ meaning ‘soft’ and ‘cutis’ meaning ‘skin’ and this name refers to the fact that these organisms lack a conventional bacterial cell wall and are surrounded only by a thin membrane. Mollicutes are the smallest and simplest known free-living and self-replicating forms of life. They are bacteria of gram-positive origin, as indicated by their 16S rDNA. But rather than being primitive, they diverged about 600 million years ago, by regressive evolution and genome reduction, from more complex ancestors on the branch of the bacterial phylogenetic tree containing the lactobacilli, bacilli, clostridia and streptococci (174).
According to the current taxonomy of prokaryotes, the mollicutes belong to the phylum
Firmicutes (46). This phylum is reserved for gram-positive bacteria with low G+C content of the
genome and it also comprises the classes Bacilli and Clostridia. The phylum Firmicutes belong
to the domain Bacteria. The domain concept, which was introduced by Woese and co-workers
(190), is based on evolutionary trees derived from 16S (or 16S-like) rDNA sequence analysis,
and this concept has now also been accepted in the 2nd edition of Bergey’s Manual (46). All
prokaryotic organisms are now arranged within one of the two domains Archaea or Bacteria
(22). 14
The members of the class Mollicutes are characterized by their small genome size (0.58 –
2.2 Mbp), a low G+C content (23 – 40 mol%) of the genome and a permanent lack of cell wall.
The latter is account for the “fried egg” colony morphology of non-helical and non-motile mollicutes, and the resistant to antibiotics affecting cell wall synthesis (e.g., penicillin). The properties distinguishing mollicutes from other bacteria are summarized in Table 2.1 (164). The valid description of the members of the class Mollicutes needs to follow the rules of the
Minimum Standard Document (65), the first version of which was published in 1972. The current classification of the class Mollicutes and the properties distinguishing the currently established taxa are presented in Table 2.2 (67).
The first extensive phylogenetic analysis based on the 16S rDNA of the mollicutes was done by Woese and co-workers (181), and in 1993 a revised taxonomy was introduced for the mollicutes (176). This classification was based on polyphasic (phylogenetic and phenotypic) approach and in addition to the six previously described genera, two new genera (Entomoplasma and Mesoplasma) were introduced (Table 2.2). Since the late 1980s tremendous weight has been given to 16S rDNA sequences in the phylogeny, taxonomy and species identification of mollicutes (23, 60, 111, 157, 158, 159, 160, 180).
Sequence data of the 16S rRNA molecule or its genes have proved to be very useful in studying the phylogeny of bacteria (150, 191). All self replicating organisms have ribosomes and rRNA and, therefore, it is possible to use 16S rRNA sequence data to construct universal phylogenetic trees in which any species may be included. The function of the 16S rRNA molecule is essential in the translation machinery of the cell and it has remained unchanged during evolution rendering this molecule a useful phylogenetic tool. A great span in phylogenetic 15
Table 2.1. Properties distinguishing mollicutes from other bacteria
Property Mollicutes Other bacteria
Cell wall Absent Present
Plasma membrane Cholesterol present in most species Cholesterol absent
Genome size 580–2,220 kb 1,050 – 10,000 kb
G+C content of genome 23–40 mol% 25–75 mol%
No. of rRNA operons 1 or 2 a 1–10
5S rRNA length 104–113 nt b > 114 nt
No. of tRNA genes 30 (M. capricolum), 33 (M. pneumoniae) 84 (B. subtilis), 86 (E. coli)
UGA codon usage Tryptophan codon in Mycoplasma, Ureaplasma, Stop codon
Spiroplasma, Mesoplasma
RNA polymerase Rifampin resistant Rifampin sensitive a Three rRNA operons in Mesoplasma lactucae. b nt, nucleotides.
16
Table 2.2. Taxonomy and characteristics of genera of the class Mollicutes.
Order Family Genus No. of Chol. Phenotypic Habitat
Taxa a Req. Characteristics
Mycoplasmatales Mycoplasmataceae Mycoplasma 165 Yes Opt. growth: 37°C c Humans, animals
Ureaplasma 9 Yes Urease positive Humans, animals
Entomoplasmatales Entomoplasmataceae Entomoplasma 6 Yes Opt. growth: 30°C Insects, plants
Mesoplasma 13 No Opt. growth: 30°C Insects, plants
Spiroplasmataceae Spiroplasma 85 Yes Helical morphology Insects, plants
Acholeplasmatales Acholeplasmataceae Acholeplasma 18 No Opt. growth: 30-7°C Animals, plants surface
Phytoplasma 429 b ND Uncultured in-vitro Insects, plants
Anaeroplasmatales Anaeroplasmataceae Anaeroplasma 3 Yes Obligate anaerobes Bov. & Ov. rumen
Asteroleplasma 1 No Obligate anaerobes Bov. & Ov. rumen a The species numbers were updated from the NCBI database on February, 2007, (http://www.ncbi.nlm.nih.gov/Taxonomy/Browser/). b Phytoplasmas have an uncertain taxonomic affiliation because they cannot be cultivated. c Except some species isolated from cold-blooded vertebrates. 19 differences can be studied because the molecule contains regions of different evolutionary variability. The size of about 1500 nucleotides is convenient for rapid sequence analysis and the presence of universal regions enable its amplification by PCR for subsequent analysis (68). PCR and sequencing primers can easily be designed to target universal regions of the 16S rRNA genes also from organisms which have not earlier been described or for organisms which cannot be cultivated (64). This possibility has proved very useful for classification of phytoplasmas (59) which are uncultivable. A particularly fascinating recent development has been the reassignment of several uncultivable rickettsias from the genera Haemobartonella and Eperythrozoon into the genus Mycoplasma on the basis of their 16S rRNA similarity (142). Another important advantage of the 16S rRNA gene is that it is not prone to horizontal gene transfer, and that polymorphism between copies of the gene in the chromosome are not common; due to recombination by gene conversion.
The accumulated 16S rRNA sequence data led to the construction of a hypothetical scheme for mollicute phylogeny. Accordingly, the ancestral mycoplasma arose from the
Streptococcus phylogenetic branch about 605 million years ago. Mollicutes evolved as a branch of gram-positive bacteria by the process of reductive or degenerative evolution. During this process, the mollicutes lost considerable portions of their ancestors’ chromosomes but retained the genes essential for life (124). Approximately 500 million years ago the mycoplasma branch is thought to have evolved and the requirement for sterol originated (Tables 2.1 & 2.2).
Interestingly, the UGA codon, which in other prokaryotes (including the earlier-evolved mollicutes) is a stop codon, became reassigned in this group of organisms as a tryptophan codon
(Table 2.1) (194). The whole genome sequencing of Mycoplasma genitalium and Mycoplasma pneumoniae allow an insight to the nature of the reduced genetic information of mollicutes. 20
During their evolution the two mycoplasmas have apparently lost all the genes involved in amino acid biosynthesis and most of the genes involved in cofactors biosynthesis, and thus require the full spectrum of amino acids and vitamins from the host or the medium. The two organisms also have a reduced set of genes for other metabolic pathways (e.g., lipids, nucleotides), and cellular mechanisms (e.g., energy metabolism, regulatory functions, transport, replication). The considerable economization in genes depends primarily on the obligate parasitic mode of life that was adapted by mollicutes (162).
The Genus Mycoplasma
The members of the genus Mycoplasma are found in multiple hosts, including humans and many cold and warm blooded animals, and tend to be host specific. Only a relatively small
number of the mycoplasma species are known as pathogens, and most species exist as
commensals. They are primarily found as surface parasites on mucous membrane surfaces of the
respiratory tract and urogenital tracts, as well as joints, eyes and mammary glands (162).
Pathogenic mycoplasmas have pronounced affinity to mucous tissues and usually cause a chronic disease with high morbidity and relatively low mortality. Most species reside extracellularly, but some species like M. pneumoniae, M. genitalium, M. penetrans, and M. gallisepticum may
localize and survive within non-phagocytic cells in-vitro (32, 189). While the wall-less state of mycoplasmas probably contributes to a marked pleomorphy, most species of the genus
Mycoplasma approach the coccoid state. Mycoplasma pneumoniae and its closest phylogenetic relatives (M. genitalium, M. gallisepticum, M. imitans) depart from this norm by having the attachment organelle structure protrusion. The attachment organelle is a large structure with a central rod, into which more than eight proteins are integrated. The organelle best characterized 21 function is mediation of attachment to host cells (cytadherence), but it is also involved in other essential functions (13, 94).
As mycoplasmas lack a cell wall and have limited metabolic options for replication and survival, these minimal bacteria have developed mechanisms for efficient colonization of the host and for escape from the host immune response. Adhesion of mycoplasmas to epithelial cells is considered to be a prerequisite for colonization and infection. Loss of adhesion results in loss of infectivity, and reversion to a cytadherence phenotype is accompanied by regaining infectivity and virulence (102, 163). Some pathogenic mycoplasmas have a specialized attachment organelle, as mentioned above, which mediate adherence. Some of the attachment organelle proteins appear to be associated with a novel cytoskeleton that is unknown in other prokaryotes
(175). The cytoskeleton structure is thought to have an important function in colonizing adhesion, in adjusting the mycoplasma cell shape and also in the gliding motility that occur in some mycoplasmas (134). It may therefore help the mycoplasma to reach and adhere to its target cells, and hence have a fundamental role in pathogenicity.
The main host immune response evasion mechanisms are characterized by the presence of highly mutable modules and an ability to expand the antigenic repertoire by generating structural alternatives within very limited genomic space. The generation of a versatile surface coat allows mycoplasmas to escape the humoral arm of the immune response. Observations over the past 15 years have revealed the extreme variability of mycoplasma cell surface composition among clonal populations (34, 166). Molecular mechanisms involved in this phenomenon are subject to two types of variation, both of which occur spontaneously at a high frequency. The first of these is phase-variation, or ON and OFF switching, where a particular component undergoes variation in expression. The second, commonly referred to as size variation, affects 22 the structure of these components, in most cases by altering the length of their carboxyl-terminal regions. All the variable cell surface components that have been described to date in mycoplasmas are proteins (mainly lipoproteins) and can be divided into two categories: those encoded by multigene families and those encoded by single genes. Interestingly, the presence of systems generating high frequency phase and/or size variation seems to be restricted to mollicutes that colonize immunocompetent hosts (Mycoplasma and Ureaplasma species) and, so far has not been reported in those infecting plants or insects (Spiroplasma and Phytoplasma species) (30). Other host immune system evasion mechanisms are the reduced ability of macrophages to kill mycoplasmas, and basically the inability of neutrophils to harm them. Most mycoplasmas can be killed by macrophages only with the assistance of opsonins, and in some cases specifically by antibodies. This allows the mycoplasma time to colonize until opsonins will become available. Neutrophils appear not to be effective at all against mycoplasma and their recruitment to the site of infection can only cause more tissue damage, and might help in the dissemination of the infection; some mycoplasmas can be phagocytized but not killed by the neutrophil and travel to other sites (169).
The hallmark of many mycoplasma diseases is the persistence of the organism, and the provocation of frustrated and ineffective immune responses against the infection result in the development of chronic inflammation. Although the complete mechanisms through which mycoplasma infection is able to persist are unknown, it is clear that development of ineffective immune response leads to immunopathology. Immune response can be elicited to protect from infection, and therefore, vaccines can be effective. However, once established, a mycoplasma infection can often persist in the face of an onslaught of an array of immune effector mechanisms
(169). 23
The molecular basis of mycoplasma pathogenicity remains largely elusive. It appears that most of the damage to the host is caused by its own immune response (immunopathology), but additional pathogenesis mechanisms were described. In-vitro and in-vivo loss of ciliary activity in the respiratory tract were reported (2, 35), and could assist in the mycoplasma colonization.
Reactive oxygen species by-products of mycoplasma metabolism, such as superoxide and hydrogen peroxide, may be involved in oxidative damage to host cells membranes and intracellular components during mycoplasma infection (161, 162).
Mycoplasmas are also frequent cell culture contaminants, and the most common cell
culture contaminating species are: M. arginini M. fermentans, M. orale, M. hyorhinis, M.
hominis, M. salivarium, M. pirum (178).
Avian Mycoplasmas
Currently there are over 23 avian mycoplasma species, one acholeplasma species (A.
laidlawii), and one ureaplasma species (U. gallorale) described in birds. The species that were recognized as pathogens of domestic poultry include Mycoplasma gallisepticum (MG) and
Mycoplasma synoviae (MS) in chickens and turkeys, and Mycoplasma meleagridis (MM) and
Mycoplasma iowae (MI) in turkeys. The most updated listing of avian mollicutes could be found on the web site of the National Center for Biotechnology Information
(www.ncbi.nlm.nih.gov/htbin-post/Taxonomy/wgetorg). Avian mycoplasmas have complex
nutritional requirements, tend to grow relatively slowly, and are rather resistant to thallium
acetate and penicillin, which are frequently employed in media to retard growth of contaminant
bacteria and fungi. Nonpathogenic avian mycoplasmas such as M. gallinarum and M. gallinaceum may grow faster and in many field situations interfere with the isolation of the 24 slower growing pathogenic species. Within the avian mycoplasmas, the majority of species either ferment glucose or hydrolyze arginine, while a small number have both activities and some have neither (81). Determination of the species of avian mycoplasma isolates could be aided by their biochemical properties (e. g., glucose fermentation, arginine hydrolysis), but direct staining of mycoplasma colonies on agar surfaces with specific fluorescent antibody (171) is most commonly used.
Mycoplasma gallisepticum
MG is the most economically significant avian mycoplasma, and causes respiratory
disease in chickens, turkeys and other avian species. The disease, in chickens known as chronic respiratory disease (CRD) and turkeys as infectious sinusitis, can result in rales, coughing and nasal discharge, as well as sinusitis in turkeys. Airsacculitis may cause significant economic losses at processing, and there may also be egg production losses, reduced feed efficiency, medication and surveillance costs (105). Mild or subclinical cases of MG, termed ‘atypical’ infections, have been observed in chickens and turkeys (33, 121, 195). These atypical infections are often difficult to diagnose (10, 72). Turkeys are more susceptible to MG and often more severely affected by MG infections than chickens; turkeys may develop severe sinusitis, respiratory distress, depression, decreased feed intake, and weight loss (105). The clinical manifestation of severe MG infection in chickens and turkeys is generally due to a complicated etiology involving concurrent infections and environmental factors. Colibacillosis, live viral vaccines, and immunosuppression may all affect the severity of the disease (58, 85, 138, 141).
Although MG infection occurs naturally in chickens and turkeys, the organism has also been isolated from naturally occurring infections in other avian species (105). The significance 25 of these species in the epizootiology of MG has not been established although wild passerine species may act as biological carriers (91, 148). In early 1994, an epidemic of MG began in wild house finches (Carpodacus mexicanus) in the mid-Atlantic United States (109). MG had not been previously associated with clinical disease in wild passerine birds. The disease has become widespread and has been reported throughout the United States and Canada (104). Molecular characterization of isolates generally suggested that the house finch epidemic arose from a single source and that the MG infection had not been shared between songbirds and commercial poultry, although one 2001 isolate from New York was clearly different from the other songbird samples and clustered together with the vaccine and reference MG strains, indicating that substantial molecular evolution or a separate introduction has occurred (27).
MG can be transmitted horizontally by direct or indirect contact through the respiratory tract. In general MG does not survive outside of the host for extended periods. It has been shown to survive on straw, cotton, and rubber for up to 2 days and 3-4 days on human hair or feathers
(29). Carrier birds, including backyard flocks, are thought to be the main source of MG outbreaks. MG can also be transmitted vertically in ovo. The highest frequency of vertical transmission occurs during the acute phase of the disease, but transmission may also occur at a lower rate during chronic infection (54, 55).
Gross lesions consist primarily of catarrhal exudates in nasal and paranasal passages, trachea, bronchi and air sacs. In the acute and subacute phases congested to hemorrhagic tracheitis is usually observed. Sinusitis is most prominent in turkeys but is also observed in chickens and other affected avian hosts. Air sacs frequently contain caseous exudate, and some degree of pneumoniae may be observed. In sever cases airsacculitis, fibrinous or fibrinopurulent perihepatitis, and adhesive pericarditis can occur and result in high mortality and extensive 26 condemnation at processing (105). Conjunctivitis is characteristic of MG infection of house finches and other song birds (109, 133). Microscopic lesions in sinuses consist of degenerating and sloughing of the epithelium, and infiltration of heterophils in the lamina propria. Later, epithelial hyperplasia, mucus gland hyperplasia, and macrophage, lymphocyte and plasma cell infiltration in the lamina propria occur. Lymphoid follicle formation occurs in the lamina propria and submucosa. Similar changes are seen in the trachea and the primary bronchi. Tracheal mucosal thickness, have been used as measures of MG infection and disease (183). Changes in the air sacs are characterized by an increase in air-sac thickness, fibrin exudate, heterophil, lymphocyte and macrophage infiltration, and epithelial cell degeneration and hyperplasia (41).
Mycoplasma gallisepticum surface molecules. Epitope switching has been observed for several MG surface molecules (15, 45, 99). Some of these surface molecules are putative cytadhesins. MG cytadhesins-like that have been identified include LP64 (42), VlhA (pMGA)
(128, 154), PvpA (18, 199), MGC1 (57, 70), MGC2 (62), and MGC3 (156, 201). Antigenic variations of cytadhesins allow MG to escape the host immune system (8).
The surface variable lipoprotein and haemagglutinin VlhA (previously termed pMGA) is
expressed in abundance by MG (129), and encoded by the vlhA multi-gene family. It has been
well established that by an unknown mechanism MG generally expresses a single member of the
family at any one time (53) and that the specific gene expressed can be influenced by growth in
the presence of cognate antibody (127). The probable role of this family in generating antigenic
variation has been demonstrated in infected chickens, with both phase variation demonstrated
during the acute stages of disease, and antigenic switching during the chronic stages (51). These
findings have led to the suggestion that the principal function of this family is to generate
antigenic diversity and hence facilitate immune evasion during chronic infections. The number 27 of vlhA gene copies present in the genome varies from 32 to 70 in different MG strains (14). In the MG Rlow strain this family contains 43 genes, constituting a total of 103 kb or 10.4% of the
genome. The 43 vlhA genes are distributed among five genomic loci containing 8, 2, 9, 12 and 12 genes, respectively (154). The control of transcription of each member of this gene family has been shown to reside in a short GAA trinucleotide repeat motif that lies 18 bases 5’ to the -35 box of the promoter of each gene (52). Slipped strand mispairing resulting from loss or gain of trinucleotide units generates variability within the repeat region. The number of repeats varies between 2 and 27, but only when there are 12 repeats is the gene transcribed and the VlhA protein expressed. The mechanism by which this repeat motif influences the promoter of the gene is yet to be elucidated.
PvpA is a variable surface cytadhesin protein of MG. The pvpA gene, present as a single
chromosomal copy, encodes a putative cytadhesin related molecule of MG exhibiting high
homology to the P30 and the P32 attachment organelle proteins of M. pneumoniae and M. genitalium, respectively, and high homology to the MGC2 cytadhesin of MG as well (18). The
PvpA protein of strain R, shown to undergo variation in its expression, possesses a proline-rich
carboxy terminal region containing two identical directly-repeated sequences of 52 amino acids.
The molecular basis of PvpA phase variation was revealed in a short tract of repeated GAA codons, encoding five successive glutamate residues, located at the N-terminal region and subject to frequent mutation generating an in-frame UAA stop codon (18). Altough this point
mutation occurs within an error prone region composed of direct repeated GAA motif, the genetic mechanism underling this event cannot be explained by slipped strand mispairing, which
would have resulted in addition or deletion of one or several GAA repeats, as seen in vlhA phase variation. In several generations tested, colony immunoblot of the PvpA-positive phenotype 28 allowed the identification of variants displaying the PvpA-negative phenotype, at a frequency of about 10-3 to 10-4 per cell per generation. However, plating of the negative phenotype did not
allow the identification of progeny exhibiting the positive phenotype, suggesting that the
occurrence of the nonsense mutation is either irreversible or occurs at a low frequency (198).
Another type of variation shown to occur with PvpA results from deletions within the 3’ end of
the pvpA gene and causes size variation of PvpA protein. The size variation of the PvpA protein
was shown to range from 48 to 55kDa. The deletions were localized at the proline-rich carboxy-
terminal region (18), suggesting that this domain may be under selective pressure in the natural
host. Several MG strains differing in their adherence and pathogenicity have varying deletions
and sizes of PvpA. Analysis of pvpA has been used to differentiate between MG strains (117).
The gapA gene (57), also referred to as mgc1 (70), is one of three clustered genes with
adhesin-related functions. It encodes a protein with homology to the P1 attachment organelle
protein of M. pnuemoniae. Immunoblot analysis of various strains has demonstrated intraspecific
variation in the size of GapA (98, 105 and 110 kDa) (57). The gapA gene product also has been
shown to undergoes spontaneous phase variation in expression (188). As for pvpA, the basis of
this variation is a base substitution that occurs in the amino-terminal coding region of the gene
and generates a nonsense mutation leading to premature termination of translation. Reversible
switching in expression of GapA was always found to be associated with the same base
substitution (AGTTCTTCAAT ↔ AGTTCTTTAAT). The mechanism underling this event is
uncertain, as the sequence surrounding the hot spot for mutation has no particular feature that might suggest the slipped strand mispairing or recombination (188).
The other two genes in the cluster are mgc2 (62) and crmA (156) also referred to as mgc3
(201). MGC2 is a 32 kDa protein with homology to the P30 and the P32 attachment organelle 29 proteins of M. pneumoniae and M. genitalium, respectively. The mgc2 gene is located next and upstream to the gapA gene. CrmA (or MGC3) is a 120kDa cytadherence associated membrane protein sharing significant sequence homology with the ORF6 gene of M. pneumoniae, which has been shown to play an accessory role in the cytadherence process. CrmA is cotranscribed with GapA since encoded by the second gene in the gapA operon (201). GapA and CrmA interact and are essential for cytadherence (155), and have been shown to undergo concomitant phase variation govern by the gapA phase variation mechanism as described above (188).
Mycoplasma gallisepticum immunity. Chickens or turkeys that have recovered from clinical signs of MG diseases are known to have some degree of immunity. However, recovered birds may still carry the organism (16) and can transmit infection to susceptible birds by contact or egg transmission. The importance of antibodies and the bursa of Fabricius to the development of resistance and serologic response to the organism has been demonstrated (4, 95), but it has also been shown that there is a poor correlation between systemic antibody levels and protection from respiratory challenge (112, 144). Increasing antibody titers to MG were found in tracheal washing of infected chickens with concomitant decrease in organisms and tracheal lesion scores
(28, 192). Recent comparisons between challenged sham-vaccinated and live vaccine vaccinated chickens demonstrated the higher level of MG specific IgA and IgG secreting plasma cells in the tracheal mucosa of protected birds. These studies also demonstrated the massive infiltration of inflammatory cells (CD4+, CD8+, NK cells) in naïve chicken tracheas, versus minimal infiltration in vaccinated bird tracheas, and suggested the role of these cells in the disease pathogenesis (66, 47). The cumulative data indicates that antibodies in respiratory secretions play a major role in resistance to MG. MG antibodies in upper and lower respiratory tract washes have been shown to prevent attachment and establishment of MG in tracheal organ cultures (9) 30 and in vivo (173, 192), and may be one important mechanism of local antibodies immune- mediated protection. The upper respiratory tract lesions usually resolve in 3 to 7 weeks with a concomitant decrease in MG in the trachea following control of the infection. The resolution of lesions is correlated with increasing antibodies in tracheal washes (192) and serum, and leukocyte migration into the mucosa (28). It has been theorized that local immunity mediated by secretory IgA may have a role in preventing the establishment of infection while CMI may be involved in recovery (173). The presence of maternal antibodies to MG in embryonated eggs reduced the in ovo pathogenicity of infection and increase the probability of survival of the infected embryo (101). Birds lacking a fully functional immune system (neonatal, thymectomy or bursectomy) have significantly higher tracheal lesion scores and organism counts than normal birds following MG infection (48, 173).
Mycoplasma gallisepticum control. Control of MG has generally been based on the eradication of the organism from breeder flocks and the maintenance of mycoplasma-free status in the breeders and their progeny by biosecurity. Single-age and all-in all-out production methods allow the control of MG in this way. Serology is the primary method for flock screening. Serological monitoring performed periodically is the basis of voluntary control programs such as the US National Poultry Improvement Plan (NPIP). Large populations of poultry in small geographic areas can make control by biosecurity alone very difficult. MG vaccines have been used in the control of MG in areas where eradication is not feasible. MG vaccines are used to prevent or reduce disease and clinical signs in the vaccinated birds as well as to prevent egg production losses and egg transmission of MG.
Inactivated MG vaccines have been widely used in several countries. The results with
MG bacterins have been variable; some investigators found that bacterins could protect broilers 31 from airsacculitis (69, 197) or layers from reduction in egg production (61, 196), and others did not detect much efficiency in commercial egg layers with endemic MG infection (79).
Vaccination with bacterins has been shown to reduce, but usually not eliminate, colonization by
MG following challenge (90, 170) and generally are felt to be of minimal value in long-term control of infection on multiple –age production sites (97).
Recently, Biomune (Lenexa, KS) developed a recombinant Fowlpox virus vaccine that was cloned with 2 MG surface proteins: the cytadherence associated membrane protein MGC3
(also referred as CrmA) and the VlhA-like lipoprotein MGR 365 (201, 168). This vaccine trade name is VECTORMUNE ® FP-MG and is licensed in the US for MG + Fowlpox vaccination.
One of the options for control is live MG vaccines (86, 97, 184). Eradication of MG is preferable to vaccination wherever possible; however, the use of live vaccines to displace
virulent wild-type MG strains from commercial poultry flocks may be a useful part of an
eradication program (84, 103). Live vaccines that are currently used worldwide to control MG
include F strain (Schering Plough, Kenilworth, N.J.) (5, 120), 6/85 (Intervet America, Millsboro,
Del.) (36) and ts-11 (Bioproperties, Inc., Australia, marketed in the US by Merial Select
Laboratories, Gainsville, GA.) (185, 186). The important characteristics of an ideal live MG vaccine include safety in the target species, efficacy (immunogenicity), the ability to stimulate solid lifelong protection (preferably from a single dose), and stability following in vivo passages
(lack of reversion of attenuated strains to a virulent form). Vaccines should also be easy and
inexpensive to manufacture. The vaccine should not spread to neighboring flocks (184), and
needs to be differentiable from field strains. It has been established that there is a complex
relationship between infectivity, pathogenicity and immunogenicity of MG strains (102). It has
been established that virulence, invasiveness and immunogenicity of MG strains are directly 32 correlated (114). Some live vaccines may be so attenuated as to be incapable of eliciting long lasting protective immunity. The colonization and persistence of MG in the upper respiratory tract may be essential to duration of immunity elicited by the vaccine. Studies have indicated that the level of protection elicited by live vaccines is directly correlated with the virulence of the vaccine strain (1, 113).
F strain is a relatively mild strain that originated from a pathogenic field isolate (193) that was further studied by van der Heide (179). F strain vaccine has been used extensively in multiple-age laying complexes to reduce MG-caused egg production losses (1, 20, 21, 31, 54,
55). F strain vaccinated laying hens produced more eggs than unvaccinated hens in flocks with endemic MG but not as many as MG-clean flocks (25, 135). The mechanism underlying protection by F strain was found not to involve competition with the challenge strain for adherence sites or blockage by prior colonization (100). F strain vaccinated flocks maintain the organism for life and can transmit it through the egg (115) and among penmates (92, 36). F strain is very immunogenic and mildly virulent in chickens (1, 20, 165), but too virulent for use in turkeys (116). F strain was found to be pathogenic in turkeys following experimental infection
(116) and it has been associated with MG outbreaks in commercial turkeys (110). F strain is effective in displacing virulent (field) strains from poultry operations (87, 84, 103). The vaccine is safe for young chicks and can be administered as early as 2 weeks or less (97).
The 6/85 strain of MG oriented in the US, and its development and vaccine characteristics were described by Evans et al. (36, 37). Studies using MG 6/85 vaccine found minimal virulence in chickens and turkeys, little or no transmissibility from bird to bird, and resistance against challenge with virulent MG (1, 36, 107). 33
Development and characterization of the ts-11 MG vaccine have been described by
Whithear et al. (185, 186). The ts-11 vaccine strain originated from an Australian MG field isolate that was subjected to chemical mutagenesis and selected for temperature-sensitivity
(growth at 33°C) (186). The ts-11 MG vaccine has minimal or no virulence for chickens and turkeys, is weakly transmissible from bird to bird, persist in vaccinated flocks for life, and induces protection to MG experimental and field challenges (1, 107, 184, 185, 186).
The ts-11 and 6/85 vaccines have both been shown to be poorly transmissible to in contact poultry (107, 186). The distinct advantage of the milder vaccine strains over F strain is their lack of virulence in turkeys and their low transmissibility (36, 107, 116, 186). F strain persists at higher levels in the upper respiratory tract than either ts-11 or 6/85, and ts-11 appears to colonize more effectively than 6/85 (1, 107). F strain may be more virulent than 6/85 or ts-11, but it provides better protection against airsacculitis (1), and protects against colonization by more virulent challenge strains (31). F strain vaccination was shown to displace virulent MG strains, whereas 6/85 or ts-11 vaccine strains did not (84, 87). However, the persistence and transmissibility of F strain allows its continued cycling in vaccinated farms long after vaccination has ceased. The ts-11 vaccine may be useful in displacing endemic F strain in poultry complexes as part of an eradication program (177). Although, in experimental situations,
F strain has been shown to transmit between birds, widespread use of the vaccine has not resulted in widespread isolations of F strain from field cases in chickens (50). In the event that a live vaccine cycles through a flock of poultry it should not increase in virulence. After years of use there is no evidence that F strain has become more virulent (184). Experimental passage of
6/85 through chickens and turkeys did not result in a substantial increase in virulence (36, 37). 34
Attempts to serially passage ts-11 in birds were unsuccessful but the vaccine appeared to retain its characteristics after three passages (186).
The vaccination of turkeys against MG has not been shown to be feasible although there has been limited use of 6/85 (97). A high passage (164 times) MG R strain mutant (GapA-,
CrmA- and HatA-) with the gapA gene complementation, designated GT5, has recently been described as a potential modified live vaccine (66, 155, 156). The characteristics of different live
MG vaccines have been described and compared extensively (1, 107, 184). The choice of vaccine should be carefully evaluated in each situation.
Mycoplasma synoviae
Mycoplasma synoviae (MS) is an important pathogen of domestic poultry, causing
economic losses to the poultry industry (82). Infection most frequently occurs as a subclinical
upper respiratory infection, which can progress to respiratory disease with air sac lesions when
exacerbated by other respiratory pathogens (e.g., Newcastle disease virus, infectious bronchitis
virus), or when more virulent MS strains are involved (93, 118). The infection can also become
systemic and result in infectious synovitis, an acute to chronic infectious disease of chickens and
turkeys, involving the primarily the synovial membranes of joints and tendon sheaths producing
an exudative synovitis, tenovaginitis, or bursitis (82). Infectious synovitis was first described and
associated with mycoplasma by Olson et al. (151, 152).
MS requires nicotinamide adenine dinucleotide (NAD), and cysteine hydrochloride as the
NAD reducing agent, in addition to the complex nutritional requirements of avian mycoplasmas.
Chickens, turkeys, and guinea fowl are the natural hosts of MS, but ducks, geese, pigeons, house
sparrows, pheasants, and Japanese quail may also be susceptible. MS is present in most poultry- 35 producing countries, and infection occurs frequently in multi-age commercial layer complexes
(136, 153). Transmission may be transovarian, or lateral via respiratory aerosols and direct contact. Lateral transmission occurs via the conjunctiva or the upper respiratory tract, and usually 100% of the birds become infected. Vertical transmission plays a major role in the spread of MS in poultry. Following infection birds become persistently infected with MS, and remain carriers for life.
There is considerable variation among isolates in their ability to cause disease, and many isolates cause little or no clinical disease (118, 119). The pathogenicity mechanisms of MS involve attachment and colonization of the upper respiratory tract plus additional unidentified factors associated with systemic invasion and lesion production. MS isolates from air sac lesions are more apt to cause airsacculitis, and those isolated from synovia are more apt to produce synovitis (93).
Mycoplasma synoviae surface molecules. MS has two major surface antigens, MSPA and MSPB, and it has shown that MSPA is a haemagglutinin and MSPB is a lipoprotein (147).
These antigens are both encoded by a single gene, vlhA (variable lipoprotein and haemagglutinin), possibly with post-translational cleavage generating the two proteins. The coding sequence of the vlhA gene is homologous to those for the vlhA genes of MG, even though
MS is phylogenically distant from MG (146). Like VlhA (previously termed pMGA) in MG the haemagglutinin MSPA is subject to high frequency phase and antigenic variation (147). In spite of the coding similarities, the mechanism used to generate variation in the expressed MS vlhA gene is quite distinct from that controlling the MG vlhA gene repertoire (145). There is only one transcriptionally and translationally competent vlhA gene in the MS genome. However, while there is a single copy of the promoter and the first 408 bases of the coding sequence, there are 36 multiple, variant copies of the region encoding the 3’ end of the gene. These pseudogenes appear to be clustered within a restricted region of the genome as tandem repeats (7), and seem to control the antigenic variation in MS by multiple gene conversion events.
Mycoplasma synoviae control. Following the successful us of chemical mutagenesis to create the ts-11 strain of MG, Morrow et al. (137) used the same procedure to produce temperature sensitive clones of an Australian field isolate of MS for assessment as potential vaccine. A strain designated MS-H expressed the ts+ phenotype, colonized the trachea of chickens and elicited serum antibody response 3 weeks after eye-drop inoculation. Subsequent evaluation of the efficacy (125) and safety (126) of both laboratory produced and commercially manufactured MS-H vaccine confirmed that it was efficacious and safe. Following eye-drop administration, the MS-H vaccine colonized the upper trachea of turkeys, elicited a detectable serum antibody response, but caused no lesion in the respiratory tract (143).
Diagnosis of Mycoplasma gallisepticum and Mycoplasma synoviae
Serological screening is routinely used as an indicator of MG and MS infection. Sera
commonly are analyzed for antibodies using the serum plate agglutination (SPA) test, a
hemagglutination-inhibition (HI) test and an enzyme-linked immunosorbent assay (ELISA) test
(83). The SPA test is rapid, sensitive and inexpensive but may result in nonspecific reactions (3,
19, 56). These have been related to medium components, primarily serum, adhering to surface of
the mycoplasma organism used to prepare the antigen, although false positive reaction may often be unexplained (12). False positive reactions are commonly seen after chickens or turkeys have been vaccinated with inactivated oil emulsion vaccines against other infectious agents, especially if there are remnants of serum in the vaccine (56). Such false positive reactions may persist up to 37
4-8 weeks or longer after vaccination. Production of agglutination antigens in medium substituting artificial liposomes for serum may result in agglutination antigens of improved specificity (6). In addition several cross reacting antigens between MG and MS are known to occur (11). The SPA test may also yield false negative results in some instances; Ewing et al.
(38) reported that the MS SPA test missed infected commercial layer and breeder flocks that were detected by MS ELISA.
SPA reactors must generally be confirmed by the HI or ELISA tests. The HI test is less sensitive but more specific than the SPA test. It is however, a longer procedure and the reagents are not commercially available. In general the ELISA test is more sensitive than the HI test and more specific than the SPA test (71, 74). Infection is generally confirmed by the isolation and identification of the organism or by DNA based detection methods (97). Isolation and identification of the organism is generally considered the gold standard for diagnosis. For culture swabs from trachea, choanal cleft or air sacs are often used. Sinus exudates, as well as swabs of the turbinates, and lungs and other tissues may also be used (83). Mycoplasma isolates are commonly identified using direct and indirect immunofluorescence (83, 171). Mycoplasma species-specific hyperimmune sera is an essential reagent for these tests and may limit the ability of some laboratories to perform the test (83). MG and MS species-specific PCR (96, 140), MG real-time PCR (24, 132), PCR-RFLP (44, 80) and oligonucleotide probe (40, 43) techniques have been developed. During the acute stage of the infection the number of organisms in the upper respiratory tract is high (100, 192); however in chronic infection the number of organisms is much lower and routine methods may not detect it (97). In some situations it may be very difficult to isolate pathogenic mycoplasma consistently from infected flocks. These instances include chronic MG and MS cases and infections with strains of low pathogenicity (83, 195). 38
The overgrowth of non-pathogenic mycoplasmas may also interfere with cultivation of pathogenic mycoplasmas from clinical samples in the laboratory (123). Recently a method to separate rapidly growing nonpathogenic avian mycoplasma species from slower-growing MG field strains was reported (17). Mixtures of MG and nonpathogenic avian mycoplasmas were inoculated onto chick embryo fibroblasts cells (CEF) allowing MG to penetrate the CEF cells.
Later, gentamicin sulphate was added to the culture, eliminating the nonpathogenic mycoplasmas and allowing MG to be isolated in pure culture. The isolation rates of fastidious MG strains may be enhanced in vivo by bioassays (122). Susceptible poultry are inoculated with potentially infectious material from suspect flocks. The organism may have the opportunity to multiply in these birds to levels detectable by PCR and/or culture. The birds are routinely sampled enhancing MG detection.
Epizootiology and Strain Differentiation in Avian Mycoplasmology
In general the process of subtyping microbial isolates into strains is important
epidemiologically for recognizing outbreaks of infection, determining the source of the infection,
recognizing particularly virulent strains of organisms, and monitoring vaccination programs
(149). Methods of strain differentiation must have high discriminatory power so that it can
clearly differentiate unrelated strains, as well as demonstrate the relationship of isolates from
individuals infected through the same source. The techniques should also have a high degree of
reproducibility. Reproducibility refers to the ability of a technique to yield the same result when
a particular strain is repeatedly tested. It is especially important for the construction of reliable
databases containing known strains within a species to which unknown organisms can be
compared. Mycoplasma colonies can vary in their surface antigenic phenotype, therefore 39 mycoplasma strains can differ markedly in their antigen profiles and their potentially virulence- related surface properties (167). Intraspecies heterogeneity and antigenic variability can be observed in mycoplasmas through serological testing (88, 172) and electrophoresis of cell proteins (78). The shortcomings of phenotypically based typing methods, such as those based on a reaction with an antibody (167), have led to the development of typing methods based on the microbial genotype or DNA sequence, which minimize problems with typeability and reproducibility and, in some cases, enable the establishment of large databases of characterized organisms. Molecular techniques that have been used to identify avian mycoplasma strains were restriction fragment length polymorphisms (RFLP) of DNA (76, 89), amplified fragment length polymorphism (AFLP) (63), pulsed-field gel electrophoresis (PFGE) (130, 131), DNA and ribosomal RNA gene probes (77, 200), and PCR with strain-specific primers (139). The most widely used method for strain differentiating is random amplified polymorphic DNA (RAPD) or arbitrarily primed PCR, analysis (26, 39, 49). The RAPD assay was first described by Williams et al. (187) and Welsh and McClelland (182). RAPD assays are based on the use of short random sequence primers, which hybridize with sufficient affinity to chromosomal DNA sequences at low annealing temperatures so that they initiate amplification of regions of the bacterial genome.
The number and location of these random primer sites vary for different strains of a bacterial species. Thus, following separation of the amplification products by agarose gel electrophoresis, a pattern of bands results. In theory, the patterns of bands are characteristic of the particular bacterial strain. RAPD analysis is rapid and sensitive and this method has been used to identify vaccine strains in MG-vaccinated flocks and for epizootiological studies (73, 98, 106, 108). Due to the random nature of the primers and the low-stringency conditions of the RAPD reaction, this assay requires the use of pure cultures of the target mycoplasma. Isolation of mycoplasma is 40 expensive, time-consuming, and technically complicated in cases where nonpathogenic mycoplasma species may overgrow the virulent mycoplasma. The isolation process itself may favor the growth of one strain where more than one subtype may be present. Furthermore, technical factors such as template DNA to primer ratio may significantly impact the reproducibility of RAPD patterns.
Ultimately, all molecular genetic methods for distinguishing organism subtypes are based on differences in the DNA sequence. Logically, then, DNA sequencing would appear to be the best approach to differentiating subtypes. DNA sequencing generally begins with PCR amplification of a sample DNA directed at genetic regions of interest, followed by sequencing reactions of the PCR products. DNA sequencing must be directed at a small region of the bacterial genome. It is impractical to sequence multiple or large regions of the chromosome.
Thus, in contrast to RAPD analysis, which examines the entire chromosome, DNA sequencing examines a very small portion of the sites that can potentially vary between strains. The variability within the selected sequence must be sufficient to differentiate different strains of a particular species. Progress in the molecular biology of mycoplasmas has been achieved in the last decade, and several surface proteins in virulent mycoplasmas, such as PvpA (18, 199),
MGC1 (57, 70), MGC2 (62), MGC3 (156, 201), and MS VlhA (145) have been described. The
DNA sequences of these genes are under great selective pressure and may be useful in the molecular epidemiology of MG and MS.
41
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CHAPTER 3
ROLE OF MYCOPLASMA SYNOVIAE IN COMMERCIAL LAYER E. COLI PERITONITIS 1
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1 Raviv, Z., Ferguson, N., Laibinis, V., Wooten, R., Kleven, S. H. Accepted by Avian Diseases, February 2007. Reprinted here with permission of publisher, March 19, 2007. 75
Role of Mycoplasma synoviae in Commercial Layer E. coli Peritonitis Syndrome
Ziv Raviv, N. Ferguson-Noel, V. Laibinis, R. Wooten, S. H. Kleven
Department of Population Health, Poultry Diagnostic and Research Center,
University of Georgia, Athens, GA 30602-4875
ABSTRACT. Mycoplasma synoviae (MS) is an important pathogen of domestic poultry, and is prevalent in commercial layers. During the last decade Escherichia coli (E. coli) peritonitis became a major cause of layer mortality. The possible role of MS in the laying hens E. coli peritonitis syndrome was studied. Four groups of 64 mycoplasma free commercial layers at the onset of lay (about 80% daily production) were challenged with a virulent MS strain or a virulent avian E. coli strain, or both. The 4 experimental groups were: negative control, E. coli,
MS, and MS plus E. coli. A typical E. coli peritonitis mortality was reproduced and included 1,
3, 0, and 5 birds in the negative control, E. coli, MS, and MS plus E. coli groups, respectively.
Only the increased mortality in the MS plus E. coli group had statistical significance. Four weeks post challenge 10 clinically normal birds from each of the four experimental groups were necropsied. All the examined birds in the two MS challenged groups demonstrated severe tracheal lesions. Body cavity lesions were detected in 2 and 4 birds in the MS and MS plus E. coli groups, respectively. The results demonstrate a possible pathogenesis mechanism of respiratory origin to the layer E. coli peritonitis syndrome, show the MS pathological effect in layers, and suggest that a virulent MS strain can act as a complicating factor in the layer E. coli peritonitis syndrome.
76
Key words: Mycoplasma synoviae, commercial layers, Escherichia coli, peritonitis.
Abbreviations: CCU = color changing units; CFU = colony forming units; E. coli =
Escherichia coli; HI = Hemagglutination inhibition; MG = Mycoplasma gallisepticum; MS =
Mycoplasma synoviae; PCR = polymerase chain reaction; PFGE = pulsed-field gel electrophoresis; SPA = Serum plate agglutination. 77
INTRODUCTION
Mycoplasma synoviae (MS) is an important pathogen of domestic poultry, causing economic losses to the poultry industry (10). Infection most frequently occurs as a subclinical upper respiratory infection, which can progress to respiratory disease with air sac lesions when exacerbated by other respiratory pathogens (e.g., Newcastle disease virus, infectious bronchitis virus), or when more virulent MS strains are involved (12, 14). The infection can also becomes systemic and result in acute to chronic infectious synovitis (10). Transmission may be transovarian, or lateral via respiratory aerosols and direct contact. Infection occurs via the respiratory tract and usually affects 100% of the birds. Following infection birds become persistently infected with MS, and remain carriers for life. Due to the expansion of poultry production and concentration of large, multiage production complexes in restricted geographic area, it is becoming more and more difficult to maintain flocks free of MS.
The role of MS in egg production of commercial layers is questionable. Previous studies have revealed that MS infection is rather common in commercial layers (5, 8, 16). In the US table egg industry, most pullets are MS free in the rearing phase but become infected with MS after their introduction into the multiage laying complexes. The economic impact of MS infection in layers is usually estimated to be low because little or no effect either on egg production (3, 17) or egg quality has been reported (3, 15).
During the last decade Escherichia coli (E. coli) peritonitis has been considered to be a major cause of layer mortality in the US and other countries (Kenton Kreager, personal communication, 18). Layer E. coli peritonitis is characterized by acute mortality without prior morbidity or significant impact on egg production. Peritonitis with yolk material deposited in the body cavity and polyserositis are the two main necropsy observations associated with the 78 disease. The occurrence of E. coli peritonitis in layer flocks appears to have two mortality peaks along the laying cycle. The first increase in mortality occurs around the peaking period in egg production, and suspected to be of respiratory origin. The second increase in mortality is observed during the late lay period at the age of fifty weeks and onward, and suspected to be of vent origin due to vent trauma (Kenton Kreager, personal communication). The increase in mortality due to the E. coli peritonitis which occurs during the peaking period varies between few tenths of percent to over one percent per week in severe cases. In one survey, the cumulative mortality in twenty affected layer flocks during this period ranged from 0.26% to 1.71% per week, while mortality in twenty unaffected flocks ranged from 0.07% to 0.30% per week (18).
Field impressions suggested that some layer flocks suffer from the peaking period E. coli peritonitis mortality simultaneously with the point in time when they turn serologically positive for MS. Scientific reports on layer E. coli peritonitis are scarce, but in a flock survey conducted by Vandekerchove et al. no association could be found between outbreaks of E. coli peritonitis mortality and infection with MG, MS or other avian respiratory pathogens (19).
This study is the first controlled experiment that addresses the query whether MS challenge at the onset of lay could be associated with E. coli peritonitis mortality during the peaking period. We also measured the effect of MS challenge during the peaking period with, or without E. coli challenge on a variety of egg production parameters.
MATERIALS AND METHODS
Animals, housing and management. Two hundred and fifty six Hy-line W-36 female pullets were received from a commercial rearing farm at the age of 14 weeks. The chickens were randomly allotted into 4 equal groups of 64 birds and housed in 4 separate identical isolation 79 rooms. The chickens were placed into commercial layer cages (61cm deep X 61cm width X
35.5cm height) in a stocking density of 8 birds per cage, and each isolation room contained 8 cages. The cages were equipped with nipple drinkers, manual feed trough, and an egg gutter in front of the cage. The pullets were transferred from open houses into light proof isolation rooms, and were kept on the natural day length at that time of the year (14 hours) until 18 weeks of age.
From that point ½ hour light increments were given on a weekly basis until reaching a day length of 16 hours. The birds were fed ad libitum with standard layer diet through the experiment. Eggs were collected daily between 8:00 and 9:00 AM.
Experimental design. Each of the 4 isolation rooms with 64 birds served as an experimental treatment group. The experimental groups were further allotted into 8 subgroups of
8 birds per cage. Each cage was labeled and monitored separately to receive 8 replicates for each experimental treatment. The four experimental treatments were: negative control, E. coli challenged, MS challenged, and MS plus E. coli challenged groups. The MS challenge was given when the daily egg production of all groups reached about 80% at the age of 27 weeks. The negative control group received no challenges. The E. coli group was challenged with the avian
E. coli V9 strain (described below) intratrachealy in a dose of 9.5x108 colony forming units
(CFU) per bird. The MS group was challenged with the MS K3344 strain (described below) by
aerosol in a dose of 4x108 color changing units (CCU) per bird. The MS plus E. coli group was challenged with the MS K3344 strain by aerosol in a dose of 4x108 CCU per bird, and three days
later was challenged with the avian E. coli V9 strain intratrachealy in a dose of 9.5x108 CFU per bird. The MS challenge was performed on the same date for the MS and the MS plus E. coli
groups, and the E. coli challenge was performed on the same date for the E. coli and the MS plus
E. coli groups. 80
Two birds from each subgroup (cage) were tested for MG and MS upon arrival at the experimental facility in the University of Georgia, at the point of the MS challenge, and 3 weeks post the MS challenge. At the point of the experiment termination, 4 weeks post MS challenge,
10 birds per group were necropsied, monitored for mycoplasma, and examined for gross and microscopic lesions in the body cavity and trachea.
Challenge organisms. The MS K3344 strain from our laboratory archive was isolated from commercial layers with a history of egg production drops, and was shown to be virulent and produced airsacculitis in birds that were experimentally challenged (Fan and Kleven, unpublished, 4). For inoculation, 36 hr broth cultures were prepared in Frey modified medium
(11).
The avian E. coli V9 strain was received from Dr. R. E. Wooley in the Department of
Infectious Diseases, University of Georgia. This strain was isolated from a trachea of a chicken with colibacillosis, and was characterized as virulent by several parameters (7). For inoculation,
18-24 hr broth cultures were prepared in tryptic soy broth medium (13).
Mycoplasma isolation and identification. Tracheal swabs from bird samples and from all the mortality were submitted for mycoplasma culture. They were inoculated in Frey modified broth and agar and incubated at 37 C. Mycoplasma isolates were identified by direct immunofluorescence (11).
General bacteriology. Bone and visceral organs from all the dead birds through the experiment were submitted for standard bacteriological culture. Specimens were aseptically swabbed and plated on blood and MacConkey’s agars and incubated for 14-18 hr at 37 C under aerobic conditions. Recovered E. coli isolates were identified as described (13). 81
Serum plate agglutination (SPA) test. Serum from bird samples were screened for MS and MG using the Intervet (Millsboro, DE) antigens according to the manufacturer’s instructions.
Agglutination was scored on a scale 0 to 4; a score of 1 was considered suspect, and a score of 2 or greater was considered positive.
Hemagglutination inhibition (HI). Serum from bird samples were screened for MS and
MG by the HI tests as described (11). Antigens were prepared from MS laboratory strain WVU
1853 and MG strain A5969. Titers of 1:40 were considered suspect, and titers of 1:80 or higher were considered positive.
DNA extraction and polymerase chain reaction (PCR). Choanal cleft swabs from 3 birds were pooled in 1 ml of PBS. Genomic DNA was extracted from 200 μl of the PBS using the QIAamp DNA Mini Kit (QIAGEN, Valencia, CA) following the manufacturer’s recommendations. PCR amplification of the Mycoplasma gallisepticum (MG) mgc2 gene was performed following the protocol published by Garcia et al. (6). The PCR amplification of the
MS vlhA gene (variable lipoprotein and hemagglutinin) was performed following the protocol published by Hong et al. (9). The PCR products were separated on a 2% agarose gel containing 1 mg/ml ethidium bromide and visualized by UV transillumination.
MS vlhA sequence analysis. Prior to sequencing, the MS vlhA PCR products were purified using a QIA PCR purification kit (Qiagen, Inc., Valencia, CA). The nucleotide sequencing was performed at the Integrated Biotechnology Laboratories, located at the
University of Georgia, Athens, GA, using automated cycle sequencing. The PCR amplification product was sequenced in both directions with the forward and reverse amplification primers.
Raw sequence data was analyzed with the EditSeq program (in Lasergene; DNASTAR, Inc.,
Madison, WI). The assembly of sequence contigs and multiple sequence alignments were 82 performed with sequencing project management (SeqMan) and multiple-sequence alignment
(MegAlig) programs, respectively (DNASTAR; Lasergene, Inc., Madison, WI).
E. coli Pulsed-Field Gel Electrophoresis (PFGE). Agarose-embedded bacterial genomic DNA was digested with 10 U of restriction enzyme XbaI overnight at 37°C, and DNA fragments were separated by PFGE (2) in a 1% PFGE agarose gel (BioRad; Hercules, CA) with a CHEF DR-II electrophoretic apparatus (BioRad; Hercules, CA). Electrophoresis was for 25 h with a voltage of 200 V and a linearly ramped pulse time of 2.2 to 54.2 s (2). Lambda DNA
Ladder (BioRad; Hercules, CA) served as MW markers.
Production and mortality monitoring. All the eggs laid during the experiment were collected. Egg production, egg and shell quality (double yolks, shell less, abnormal shape, thin, cracked), and egg weights were recorded on a weekly basis. All mortality was necropsied, gross pathology was recorded, and samples were taken for general bacteriology, mycoplasma culture and histopathology.
Tracheal mucosal thickness analysis. Tracheal lesions were evaluated microscopically by measuring the thickness of the tracheal mucosa. A section of the upper third of the trachea
(approximately 2cm distal from the larynx) was fixed in 10% neutral buffered formalin. The tracheal mucosa thickness was measured at four equidistant points on histologic slides of cross sections of tracheas (20).
Statistical analysis. A chi-square test for equality of proportions was performed to measure the statistical significance of the mortality and the body cavity lesion results. The analysis was performed with SAS PC (SAS institute Inc. Cary, NC). The mean tracheal mucosa thickness was analyzed by the Tukey–Kramer HSD test (JMP_ Statistics Made Visual; SAS
Institute, Inc., Cary, NC). A P-value of ≤0.05 was considered significant in all the analyses. 83
RESULTS
Mycoplasma monitoring. The mycoplasma status of the study’s 4 experimental groups was tested by mycoplasma culture and MG and MS: SPA, HI, and PCR; the MS test results are summarized in Table 3.1. All groups were negative to mycoplasma on the initial screening and at the point of the MS challenge. The negative control group remained negative to mycoplasma through the experiment. The MS and the MS plus E. coli groups were positive to MS on the 21st and 28th days post challenge examinations. All the groups remained MG negative trough the
experiment.
The E. coli group had a low level of MS positive reactors by culture and PCR with
negative serology (Table 3.1) on the 21st day post challenge, suggestive of an early MS infection.
On the 28th day post challenge the number of positive culture and PCR reactors increased, and
MS antibodies were detected by SPA but not by the HI test. We assume that this unintentional
introduction of MS to the E. coli group occurred due to the break in biosecurity during the heat stroke incident (described below).
Mortality analysis. During the first 5 weeks of egg production (18 to 23 weeks of age)
prior to challenge two spontaneous mortality cases were recorded in the experiment, one in the
E. coli group and the other in the MS plus E. coli group. The cause of death in these two cases was E. coli septicemia and peritonitis. An increase in mortality was observed following the avian
E. coli challenge. The post challenge mortality results are summarized in Tables 3.2 and 3.3. E. coli peritonitis was the sole cause of death in all the post challenge mortality. The prominent gross lesions in all the mortality were: dehydration, pericarditis, perihepatitis, thoracic airsacculitis, peritonitis with free yolk and/or caseous material in the body cavity, and oophoritis. 84
E. coli was the only organism isolated from the bone marrow and visceral organs of all the mortality cases. Mycoplasma synoviae was isolated from tracheas of 3 out of the 5 mortalities in the MS plus E. coli group; the two other cultures from this group were contaminated. All the three mortalities in the E. coli group were negative for mycoplasma. Between the evening of the
10th day and the morning of the 11th day post challenge a cooling system failure occurred and led
to massive heat strock mortality in all the experimental groups (Table 3.2). When the problem was detected all the facility doors were opened to allow natural ventilation and technicians came
in to fix the cooling system. The surviving birds were not handled and remained in their original
cages.
The chi-square test statistical analysis indicated that the MS plus E. coli group mortality was significantly higher than the negative control group mortality. The E. coli group mortality
was not significantly higher than the negative control group mortality. But, the MS plus E. coli
group mortality was not significantly higher than the E. coli group mortality.
Egg production parameters. The monitored egg production and egg quality parameters
did not show any noticeable differences between the experimental groups.
Comparison between challenged and isolated organisms. Sequencing of the MS vlhA
PCR product were performed on the following samples: the three MS isolates from the MS plus
E. coli group mortality, two MS isolates from each of the MS positive groups (E. coli, MS and
MS plus E. coli) that were recovered during the final necropsy, and the challenge strain K3344.
All the MS vlhA sequences were aligned and were found 100% identical to each other and to the challenge strain K3344.
The E. coli isolates from the post challenge mortality cases were compared to each other
and to the avian E. coli V9 challenge strain by PFGE. All the analyzed isolates had identical 85 patterns and were identical to the challenge strain (Figure 3.1). That includes the E. coli isolate from the one mortality in the negative control group.
Final necropsy and tracheal mucosal thickness analysis. Four weeks after the MS challenge 10 clinically normal birds per group, labeled randomly from 1 to 10, were necropsied and examined for gross lesions in the body cavity (Table 3.4). Body cavity lesions were detected in 2 and 4 birds in the MS and MS plus E. coli groups, respectively, with more prominent lesions in the MS plus E. coli group. No bird in the negative control group or the E. coli group demonstrated body cavity lesions. Statistical analysis of the results indicated that only the lesions in the MS plus E. coli group were statistically significant different from either the negative control or the E. coli groups. Microscopically, the major lesions in the affected birds were chronic lymphocytic air-sacculitis and granulomatus serositis with multinucleated giant cells.
During the necropsy tracheas were collected for thickness analysis from each of the necropsied birds (Table 3.4). The two MS challenged groups (MS and MS plus E. coli) had similar tracheal thickness results and were statistically significant higher than the tracheal thickness of the negative control group. The differences in tracheal thickness between the two
MS challenged groups and the accidentally infected E. coli groups were numerically obvious but not statistically significant. The differences in tracheal thickness between the negative control group and the E. coli group were not statistical significant. The microscopic nature of the tracheal lesions in all the affected groups was similar and was defined morphologically as lymphocytic tracheitis.
86
DISCUSSION
E. coli peritonitis is a common cause of commercial layer mortality and believed to be the number one cause of layer mortality in the US table egg industry during the last decade (Kenton
Kreager, personal communication). Layer E. coli peritonitis is considered to be normal when it occurs at levels of about 0.1% per week or less (18). Also in this experiment 2 layers died during the first 5 weeks of production to generate an average mortality of 0.15% per week, which could be interpreted to be within the normal range. It is important to realize that the concern about the syndrome is due to the higher incidence and not the syndrome occurrence by itself. In order to investigate the possible causes for the increased level of layer E. coli peritonitis we had to develop a model that would reproduce the syndrome. The successful reproduction of a typical layer E. coli peritonitis disease by the experimental model allowed us to investigate the role that
MS might have in this syndrome. A beneficial byproduct of the experimental model was the suggestion of a pathogenesis mechanism for the disease. The direct application of the causative
E. coli to the upper trachea and the reisolation of an identical E. coli strain from the viscera and bone marrow of dead birds with peritonitis are highly suggestive of the respiratory origin of the layer peritonitis syndrome. This observation is in agreement with the industry notion of the respiratory origin of layer peaking period E. coli peritonitis (Kenton Kreager, personal communication).
The severity of the tracheal lesions that were induced by the K3344 MS strain brings into question the prevailing assumption of MS as a benign infection in layers. Indeed, the affected chickens appeared clinically normal, but it is likely that birds with such altered tracheas will be more susceptible to respiratory disease agents and environmental contaminants. Our hypothesis 87 is that the injured trachea would allow the avian E. coli higher level of colonization and systemic penetration that would result in a higher level of peritonitis.
The experiment demonstrated that the combined challenge of MS plus E. coli induced statistically significant mortality relative to the negative controls while the E. coli alone did not.
That result implies that the intratracheal E. coli challenge by itself is not enough to produce significant peritonitis mortality in layers and that the MS challenge was required to induce the peritonitis mortality. This finding is in agreement with the general notion of colibacillosis as a secondary disease, following a primary infection with respiratory pathogens and/or unfavorable environmental conditions (1). But the above interpretation appears less conclusive when considering the only numerical, and not statistically significant, difference between the mortality in the E. coli and the E. coli plus MS groups. The difficulty to achieve a more definitive conclusion was the consequent of the relatively low E. coli peritonitis mortality in our model, previous models (21), and most clinical cases, and it is questionable whether mortality is the statistically appropriate measurement for this syndrome. The necropsy observation of abundant sub-clinical lesions in the body cavity of MS challenged birds versus no lesions in the solely E. coli challenged group is supportive of the significant role of the MS challenge in the layer peritonitis syndrome. It also leads us to think that body cavity sampling (lesion scoring, histology, E. coli culture), from 7 days post challenge and onward, could be a better tool for measuring the effect of the different challenges utilized in this experimental model.
The cooling system failure and the consequent massive heat stroke mortality in all the experimental groups terminated some experimental components ahead of time (e.g., egg production monitoring), although the major monitored parameter, the post challenge mortality, seems not to be affected. The post challenge mortality ceased completely 3 days before the heat 88 stroke incident. The culture and PCR results on samples collected a week post the heat stroke
(Table 3.1; 3 weeks post challenge) indicted an early infection with MS in the E. coli group. All the 3 post challenge mortalities in the E. coli group were MS negative by culture. We assume that the MS introduction into this group occurred during the heat stroke turmoil, and did not affect the pre heat stroke results. The PFGE patterns similarity between the E. coli isolated from the one mortality in the negative control group (Table 3.2) and the avian E. coli V9 challenge strain was unexpected. Possible explanations could be mislabeling, laboratory error or carryover from one of the E. coli challenge groups.
In summary, this study offers a useful challenge model for the reproduction of layer E. coli peritonitis syndrome. The results imply a possible pathogenesis mechanism for the disease which is in agreement with the clinical observations of respiratory origin of the layer E. coli peritonitis syndrome. The general notion of colibacillosis as a secondary disease was also demonstrated for the layer E. coli peritonitis syndrome, and a virulent MS strain appeared to be a possible primary factor in this syndrome.
AKNOWLEGMENTS
We thank Dr. Richard E. Wooley for providing the E. coli V9 strain, Dr. John Maurer for performing the E. coli PFGE analysis, Dr. Susan Williams for the histopathology assistance, and
Dr. Nicole Lazar for the help with statistics.
89
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12. Kleven, S. H., O. J. Fletcher, and R. B. Davis. Influence of strain of Mycoplasma synoviae and route of infection on development of synovitis or airsacculitis in broilers. Avian Dis.
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Kinnucan, and S. H. Kleven. Factors associated with virulence of Mycoplasma synoviae. Avian
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93
Table 3.1. Summary of the MS monitoring results post the MS challenge.
Experimental Days post MS MS PCR A MS SPA MS HI
group challenge isolation B
Negative 0 0/16 0/5 0/16 0/16
controls 21 0/16 0/5 0/16 0/16
28 0/10 0/3 0/10 0/10
E. coli 0 0/16 0/5 0/16 0/16
21 C 4/15 1/5 0/15 0/15
28 7/10 3/3 4/10 0/10
MS 0 0/16 0/5 0/16 0/16
21 16/16 5/5 16/16 15/16
28 10/10 3/3 10/10 9/10
MS + E. coli 0 0/16 0/5 0/16 0/16
21 16/16 5/5 16/16 14/16
28 10/10 3/3 10/10 6/10
A Pools of 3 or 4 tracheal swabs.
B Culture was positive by immunofluorescence for MS only.
C Only 15 birds survived the heat stroke in this group (see the mortality analysis section of the results for details).
94
Table 3.2. Post avian E. coli challenge daily mortality in the 4 experimental groups.
Days post Neg. Ctrl E.coli MS MS+E.coli
challenge
challenge 0 0 0 0
1 0 0 0 0
2 0 0 0 0
3 0 0 0 0
4 0 0 0 3
5 0 1 0 1
6 0 0 0 1
7 0 2 0 0
8 0 0 0 0
9 1 0 0 0
10 0 0 0 0
11 A 42 45 47 33
A heat stroke due to the experimental facility cooler failure (see the mortality analysis
section of the results for details).
95
Table 3.3. Summary of the 10 days post avian E. coli challenge mortality.
Experimental Number of dead Percentage of dead Statistical
group birds birds significance
(P≤0.05)A
Negative control 1 1.56 B
E. coli 3 4.68 A B
MS 0 0 B
MS + E. coli 5 7.81 A
A Chi-square test for equality of proportions.
96
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
1015 (kb) 1015 (kb) 776 776 727.5 727.5 671 671 630.5 630.5 582 533.5 582 436.5 533.5 436.5 485 485 388 388 339.5 339.5 291 291 242.5 242.5
194 194
145.5 145.5
97 97
Fig. 3.1. Molecular typing of avian Escherichia coli by Pulsed Field Gel Electrophoresis
(PFGE) using restriction enzyme, Xba I. Lanes 1 and 15: Lambda DNA Ladder (BioRad;
Hercules, CA); lanes 2, 8 and 14: E. coli K12 control; Lane 13: PDRC clinical E. coli isolate as control; lane 3: E. coli strain V9; lanes 4-7 and 9-11 E. coli isolated from birds challenged with
E. coli strain V9; Lane 12: E. coli isolated from the one mortality in the negative control group.
97
Table 3.4. Summary of tracheal mucosal thickness analysis and body cavity lesions results detected 4 weeks post challenge.
Experimental Tracheal mucosal thickness Body cavity lesions
group Mean Statistical Lesion Statistical Lesion Description
thickness significance ratio significance
(μm) A (P≤0.05) B (P≤0.05) C
Neg. Ctrl 70.24 B 0/10 B -
E.coli 117.13 A B 0/10 B -
MS 151.61 A 2/10 A B Bird #2 - opacity on thoracic and abdominal air sacs.
Bird #3 - opacity on peritoneal membranes w/ free
light brownish liquid material in body cavity.
MS plus 165.72 A 4/10 A Bird #2 - free yolk in body cavity.
E.coli Bird #3 - opacity and caseous material on peritoneal
membranes and intestinal (duodenum) serosas.
Bird #9 - opacity on peritoneal membranes.
Bird #10 - opacity on peritoneal membranes.
A Mean of 10 tracheas mucosal thickness measured at four equidistant points.
B Tukey–Kramer HSD test. 98
C Chi-square test for equality of proportions.
99
CHAPTER 4
THE MYCOPLASMA GALLISEPTICUM 16S-23S rRNA INTERGENIC SPACER REGION
SEQUENCE, AS A NOVEL TOOL FOR EPIZOOTIOLOGICAL STUDIES 2
______
2 Raviv, Z., Callison, S., Ferguson, N., Laibinis, V., Wooten, R., Kleven, S. H. Accepted by Avian Diseases, December 2006. Reprinted here with permission of publisher, March 19, 2007. 100
The Mycoplasma gallisepticum 16S-23S rRNA Intergenic Spacer Region Sequence, as a
Novel Tool for Epizootiological Studies
Ziv Raviv, S. Callison, N. Ferguson-Noel, V. Laibinis, R. Wooten, S. H. Kleven
Department of Population Health, Poultry Diagnostic and Research Center,
University of Georgia, Athens, GA 30602-4875
ABSTRACT. Mycoplasma gallisepticum (MG) contains two sets of rRNA genes (5S,
16S and 23S) in its genome, but only one of the two is organized in an operon cluster and contains a unique 660 nucleotide intergenic spacer region (IGSR) between the 16S and the 23S rRNA genes. We designed a polymerase chain reaction (PCR) for the specific amplification of the complete MG IGSR segment. The MG IGSR PCR was tested on 18 avian mollicute species and was confirmed MG specific. The reaction sensitivity was demonstrated while comparing it to the well established MG mgc2 PCR. The MG IGSR sequence was found to be highly variable
(discrimination (D) index of 0.950) among a variety of MG laboratory strains, vaccine strains, and field isolates. The sequencing of the MG IGSR appears to be a valuable single-locus sequence typing (SLST) tool for MG isolate differentiation in diagnostic cases and epizootiological studies.
101
Key words: Mycoplasma gallisepticum, 16S rRNA, 23S rRNA, Intergenic Spacer
Region, Polymerase Chain Reaction, isolate, strain, Single-Locus Sequence Typing.
Abbreviations: AFLP = Amplified Fragment Length Polymorphism; bps = base pairs;
GTS = Gene-Targeted Sequencing; IGSR = Intergenic Spacer Region; MG = Mycoplasma gallisepticum; MLST = multilocus sequence typing; PCR = Polymerase Chain Reaction; PFGE =
Pulsed-Field Gel Electrophoresis; RAPD = Random Amplified Polymorphic DNA; RFLP = restriction fragment length polymorphism; SLST = single-locus sequence typing 102
INTRODUCTION
Mycoplasma gallisepticum (MG) is the most pathogenic and economically significant mycoplasma pathogen of poultry. Economic losses from condemnation or downgrading of carcasses, reduced feed and egg production efficiency, and increased medication costs are additional factors that make this one of the costliest disease problems confronting commercial poultry production worldwide (20). Isolates of MG are known by their isolate’s laboratory code or other designations, and could be referred to as strains. MG strains, including well-established reference strains, may differ markedly in their antigen profiles and their virulence-related surface properties (27). It has become increasingly important to develop methods to characterize and identify MG strains and strain variability. Reliable methods for the differentiation of MG strains play a pivotal role in understanding the epizootiology and spread of the disease because they generate the information necessary to identify and track new outbreaks. Also, the increased use of live MG vaccines requires more powerful tools to trace the source of infection and to differentiate vaccine strains from circulating field isolates. Recognition of intraspecific (strain) genotypic and phenotypic heterogeneity may be done by serologic methods (15, 27) or electrophoretic analysis of cell proteins (13). However, molecular techniques can be more sensitive and discriminatory for the differentiation of MG strains (21). Several techniques have been developed, including, restriction fragment length polymorphism (RFLP) (15), ribotyping
(30), strain-specific DNA probes (14), pulsed-field gel electrophoresis (PFGE) (24), PCR with strain-specific primers (25), amplified fragment length polymorphism (AFLP) (10), and the currently most widely used random amplified polymorphic DNA (RAPD) (2, 5).
Sequencing methods have been introduced as a new approach for studying the molecular epidemiology of bacterial pathogens (1). Multilocus sequence typing (MLST) of housekeeping 103 genes has been demonstrated to be a highly transferable typing method, readily applicable to a wide variety of bacteria, which has contributed to the understanding of global epidemiology and population structure of infectious diseases (22). Also the sequencing of a single variable chromosomal locus (single-locus sequence typing (SLST)) was demonstrated as a promising approach for the detection of bacterial strain variation (17). Progress in the molecular biology of
MG and the availability of the complete genome sequence (26) has driven the idea to evaluate chromosomal loci sequencing as a typing tool for differentiating MG strains. It was demonstrated recently that gene-targeted sequencing (GTS) analysis of MG surface-protein genes is a reproducible typing method with satisfactory discriminatory power to separate isolates from unrelated outbreaks, and to identify closely related isolates (3). Unlike other widely used MG typing methods (e.g., RAPD), the sequencing methods do not require the isolation of the tested organism in a pure culture. Mixed infection with MG and saprophytic mycoplasmas is a common occurrence in poultry flocks (23), and the independence of the sequencing methods on the recovery of MG in a pure culture is a significant advantage.
The members of the class Mollicutes have only one or two copies of the rRNA genes.
Some of the genes coding for rRNA molecules of the genus Mycoplasma are organized in operons and arranged in the order 5’ 16S-23S-5S 3’ in which the individual rRNA genes are separated by internal transcribed spacer regions. The intergenic spacer region (IGSR) between the 16S and 23S rRNA genes of mycoplasmas has been shown to lack tRNA genes and to be variable in sequence and length among mycoplasma species (29). It has been used as a genetic marker for comparing phylogenetic relationships of genetically closely related species among not only the mycoplasmas (8, 28), but also other bacterial species (6, 7, 12, 19). MG contains two sets of rRNA genes (5S, 16S, and 23S) in its genome, but only one of the two is organized in an 104 operon cluster and contains a unique 660 nucleotide IGSR between the 16S and the 23S rRNA genes (26).
This is the first report on the implementation of the SLST approach for MG strain differentiation. Our objectives were to determine the level of the intraspecific genotypic polymorphism of the MG 16S-23S rRNA IGSR (MG IGSR), and to evaluate the discriminatory power of this single chromosomal locus for MG isolates in diagnostic cases and epizootiological studies.
MATERIALS AND METHODS
Mollicute species and Mycoplasma gallisepticum strains and isolates. Eighteen different avian mollicute species (Table 4.1) from our laboratory archive were used to demonstrate the MG IGSR PCR specificity. A variety of MG strains and isolates: 3 MG
GenBank sequences, 6 MG laboratory strains, 3 MG commercial vaccine strains, and 26 MG field isolates from unrelated US cases, were used to evaluate the intraspecific variability level of the MG IGSR sequence (Table 4.1).
DNA extraction. DNA was extracted from cultures grown in modified Frey’s broth at 37
C or frozen modified Frey’s medium stock cultures stored with 5% (v/v) glycerol (16). Genomic
DNA was extracted from 200 μl of mycoplasma culture in modified Frey’s broth or from 200 μl of tracheal swab pool dipped in PBS using the QIAamp DNA Mini Kit (QIAGEN, Valencia,
CA) following the manufacturer’s recommendations.
PCR amplification and sequencing of the complete MG 16S-23S rRNA IGSR.
Primers were designed with the PrimerSelect program (in Lasergene; DNASTAR, Inc., Madison,
WI). The primers’ annealing sites were designed in the down stream region of the 16S rRNA 105 gene and the up stream region of the 23S rRNA gene for the complete amplification of the MG
IGSR segment. The primers’ sequence, location, and expected PCR product size of the MG
IGSR PCR, based on the MG R (low) genome sequence (GenBank AE015450), are presented in
Table 4.2. A BLAST search was performed online (http://www.ncbi.nlm.nih.gov/BLAST/) to
confirm the theoretical specificity of the primers. The reaction mix was purchased from
EPICENTRE (EPICENTRE Biotechnologies, Madison, WI), and contained 25µl of FailSafe
PCR 2X PreMix B, 0.1µM primers, 0.5µl FailSafe PCR Enzyme Mix, 5µl DNA template, and
water to a volume of 50µl. Amplifications were performed in a PTC-200 DNA Engine MJ
thermocycler (MJ Research) at 94°C for 3 min, 30 cycles of 94°C for 20 sec, 55°C for 30 sec,
72°C for 60 sec, and ending with 72°C for 5 min.. The PCR products were separated on a 2%
agarose gel containing 1 mg/ml ethidium bromide and visualized by UV transillumination. The
amplification products were then purified using a QIA PCR purification kit (QIAGEN Inc.,
Valencia, CA) and sent to the Integrated Biotechnology Laboratory (University of Georgia,
Athens) for sequencing. Sequencing was performed with the BigDye Terminator v3.1 Cycle
Sequencing Kit and the capillary sequencer 3100 ABI Genetic Analyzer (Applied Biosystems,
Foster City, CA). Each amplification product was sequenced in both directions with the forward and reverse amplification primers. Raw sequence data was analyzed with the EditSeq program
(in Lasergene; DNASTAR, Inc., Madison, WI), and the complete overlapping of complementary sequences, editing and consensus construction were produced with the SeqMan program (in
Lasergene; DNASTAR, Inc., Madison, WI).
PCR amplification of the MG mgc2. To evaluate the MG IGSR PCR sensitivity it was
compared to our laboratory standard MG (mgc2) PCR. The reaction was performed following the 106 protocol published by Garcia et al. (4). The PCR products were separated on a 2% agarose gel containing 1 mg/ml ethidium bromide and visualized by UV transillumination.
SLST analysis of the MG 16S-23S rRNA IGSR. To conduct SLST analysis all consensus sequences were edited to start at an equivalent coding sequence position using the
EditSeq program (in Lasergene; DNASTAR, Inc., Madison, WI). Alignments of sequences were constructed by the Clustal V method with a gap penalty of 10 using the MegAlign program (in
Lasergene; DNASTAR, Inc., Madison, WI). Dendrograms were constructed from the Clustal V alignments by the neighbor joining method and 1000 bootstrap replicate analysis using the
MOLECULAR EVOLUTIONARY GENETIC ANALYSIS (MEGA) software available at
www.megasoftware.net for sequence alignments (18).
Sequence stability of the MG 16S-23S rRNA IGSR. In order to evaluate the stability of
the targeted region, amplification and sequencing were performed on the laboratory strains R
(low) and S6, and on the vaccine strains ts-11 and 6/85 before and after several in vitro passages
(Table 4.1).
Tracheal swabs sampling. Sterile cotton-tipped applicators were utilized to swab the
trachea of 6-wk-old specific-pathogen-free leghorn chickens 10 days post MG R (low) challenge.
Tracheal swabs from three consecutive birds were pooled in 1ml PBS for PCR analysis.
Discrimination index. The overall discriminatory power of a typing method is defined as
its ability to distinguish between different strains. This can be expressed as an index that
measures the probability that two unrelated strains will be placed into different groups, and is calculated using Simpson’s diversity or discrimination (D) index, which takes into account the number of types defined by the method and the relative frequencies of these types (11). A D index of >0.90 is considered adequate, and a D index >0.95 is considered as a good typing 107 discrimination power. Isolates with identical sequences (100% identity) were considered as the same sequence type. This index can be derived from elementary probability theory and is given by the following equation:
Where N is the total number of strains in the sample population, s is the total number of types
described, and nj is the number of strains belonging to the jth type.
RESULTS
MG 16S-23S rRNA IGSR PCR specificity assay. The designed PCR was performed on
the eighteen different avian mollicute species listed in Table 4.1, including MG as a positive
control, to verify the reaction specificity. The reaction was negative for all the species in Table
4.1, except from Mycoplasma imitans that yielded a band of higher molecular weight (~2500bps)
than the MG control (~800bps).
MG 16S-23S rRNA IGSR PCR sensitivity assay. DNA was extracted from two pools
of three tracheal swabs collected from birds 10 days post MG R (low) strain challenge, and from
one MG R (low) strain culture. Ten-fold serial dilutions down to 10-4 were prepared from the
above three DNA extracts. The MG IGSR PCR and the MG mgc2 PCR reactions were
performed on these three dilution sets, and run on the same gel. The results (Fig. 4.1) indicated a
better sensitivity of the MG IGSR PCR, and also demonstrated inconsistent amplification result
for the MG mgc2 PCR versus highly consistent amplification result for the MG IGSR PCR.
MG 16S-23S rRNA IGSR sequencing results. The thirty-seven unrelated
strains/isolates in Table 4.1 were sequenced and aligned. The results are presented in the form of 108 a phylogenetic dendogram (Fig. 4.2). The strains/isolates were grouped into 22 different types: one type with 7 strains/isolates (6/85 like), 3 types with 3 strains/isolates, 3 types of 2 strains/isolates, and 15 types of one strain/isolate.
MG 16S-23S rRNA IGSR sequence stability. The MG IGSR sequence stability was evaluated by sequencing several in vitro passages of the laboratory strains R (low) and S6, and the vaccine strains ts-11 and 6/85. Sequences of R (low) strain from GeneBank (AE015450), following 105 passages and following 120 passages were all 100% identical. Likewise, sequences of strain S6 at passage levels 15, 21 and 29 were 100% identical. The sequences of the two vaccine strains, ts-11 and 6/85, were also perfectly stable following 0 (commercial vaccine bottle), 126, and 141 passages.
MG 16S-23S rRNA IGSR sequence discrimination index. The sequence analysis of the 37 unrelated MG strains and isolates identified 22 sequence types with a discrimination (D) index of 0.95045.
DISCUSSION
This study describes the first utilization of the SLST approach for differentiation of MG
isolates. The possibility of using a single variable chromosomal locus with high discriminatory
power for differentiation of MG isolates harbors significant advantages over the currently used
methods. The freedom from the requirement to culture the organism, the 100% typeability and
reproducibility, the quick accumulation of reference data base, and the ease and rapid application
are the major advantages of a single locus sequencing method. Another important advantage is
the ability to perform the SLST analysis as part of the diagnostic MG PCR test. The main
disadvantage of the SLST approach is the analysis of a very limited portion of the genome, and 109 when differences are not detected it is required to continue and search for differences with alternative methods before a conclusion can be reached.
The rRNA IGSR size of most avian mycoplasmas is smaller than five hundred base pairs
(bps). Exceptions to this rule are MG and Mycoplasma imitans, which contain IGSRs of 660 bps and 2488 bps, respectively (9). Albeit that in several mollicutes very low intraspecific variability of the rRNA IGSR has been reported (31), we hypothesized that the unique MG IGSR is a reasonable place to look for intraspecific genotypic polymorphism. We assumed that a relatively large nonsense genome segment with no reading frame constraints, and with no homologous counterpart sequences in the genome to allow gene conversion repair, could harbor evolutionary accumulation of genotypic changes. We also based our hypothesis on the knowledge that in other prokaryotes intraspecific variations in the lengths and sequences of rRNA IGSR have been described (6, 7, 12, 19).
The results indicated significant sequence variability and good discriminatory power among MG strains by the MG IGSR sequence. The discriminatory (D) index of 0.950 was found to be superior to the previously analyzed MG genes: gapA, MGA_0319, mgc2 and pvpA with discriminatory indices of 0.713, 0.874, 0.915 and 0.920, respectively (3). The 37 strains and isolates that we used to sequence the MG IGSR were also used by Ferguson et al. (3). These 37 strains/isolates were grouped into ten different genotypes by the four genes GTS array (gapA,
MGA_0319, mgc2 and pvpA) and RAPD in Ferguson’s study. The MG IGSR sequence could further differentiate these ten genotypes into fourteen distinct genotypes. It appears that the MG
IGSR sequence has a promising potential as an independent SLST tool for MG isolates, and could serve as an important addition to the described (3) multiple MG GTS method. 110
Sequence stability of the MG IGSR was demonstrated through numerous in vitro passages. The region’s sequence stability, and our accumulating experience in comparing MG
IGSR sequences with other genotyping methods (unpublished), led us to conclude that even one base variation is enough indication for isolate differentiation. Another important observation was that none of the study’s strains and field isolates shared the ts-11 vaccine strain MG IGSR sequence. This finding is important in the context that according to our laboratory data several field isolates share the ts-11 mgc2 sequence (unpublished); the mgc2 gene PCR is widely used in this laboratory for diagnostic purposes. This superior differentiating capability of the MG IGSR versus the mgc2 gene could be useful in situations where the involvement of the ts-11 vaccine strain is suspected. This MG IGSR characteristic could address the increased need of the poultry industry for non-culture dependent differentiating tools between vaccine strains and field isolates.
The MG IGSR PCR was tested on samples from live birds and cultures under controlled comparison conditions, and appeared to be more sensitive than the commonly used MG mgc2
PCR. The reaction was also highly specific; the amplification of the M. imitans rRNA IGSR was expected since these two closely related mycoplasmas having nearly identical rRNA sequences.
The size difference between the MG amplicon and the M. imitans amplicon is due to a putative transposase insertion in the M. imitans 16S-23S rRNA IGSR (9), and makes these two species distinguishable by the MG IGSR PCR reaction.
In summary, the uniquely sized MG 16S-23S rRNA IGSR sequence harbored significant genotypic polymorphism that could be utilized as a preliminary (SLTS) or complementary tool in MG strain differentiation in diagnostic cases and epizootiological studies. The MG IGSR PCR 111 demonstrated high sensitivity and specificity and could be a feasible alternative to the currently available MG PCRs.
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117
Table 4.1. Avian Mollicute species and Mycoplasma gallisepticum strains and isolates used in this study:
Organism source Species, strains and isolates
Avian Mollicute Acholeplasma laidlawii, Mycoplasma anatis, Mycoplasma cloacale,
species: Mycoplasma columbinasale, Mycoplasma columbinum, Mycoplasma columborale, Mycoplasma gallinarum, Mycoplasma gallinaceum,
Mycoplasma gallopavonis, Mycoplasma glycophilum, Mycoplasma iners,
Mycoplasma iowae, Mycoplasma lipofaciens, Mycoplasma meleagridis,
Mycoplasma pullorum, Mycoplasma synoviae, Mycoplasma imitans,
Mycoplasma gallisepticum
GenBank sequence PG31 AB098504, A5969 L08897, R (low) AE015450
accession # of MG
strains:
MG laboratory A5969 Kleven, A5969 Geary, A5969 liposome, S6(15 passages), S6(21
strains: passages), S6(29 passages), R low (105 passages), R low (120 passages), HF- 51
MG vaccine strains: F, 6/85(0 passages), 6/85(126 passages), 6/85(141 passages), ts-11(0
passages), ts-11(126 passages), ts-11(141passages)
MG unrelated US K2101CK84, K4029/1TK95, K4110BTK96, K4158CTK96, K4181BCK96,
isolates*: K4181CCK96, K4236/3TK96, K4246TK96, K4280CK96, K4385TK97, K4421A/1TK97, K4423BTK97, K4465/2TK97, K4649BTK98,
K4688FCK98, K4781ATK99, K4902ETK00, K5011TK00, K5037ACK00,
K5054TK01, K5058ETK01, K5234/5CK02, K5263E/10CK02,
K5792A/5CK05, K5792B/2CK05, K5833/1TK05
*each isolate K number is followed by the species abbreviation and the year of isolation. 118
Table 4.2. MG IGSR PCR primers’ sequence, location, and expected PCR product size, based on the MG R (low) genome sequence (GenBank AE015450).
Primer Sequence (5’→ 3’) Genome nt PCR
position product size
MG IGSR F GTAGGGCCGGTGATTGGAGTTA 321490- 321511 812bps
MG IGSR R CCCGTAGCATTTCGCAGGTTTG 322301- 322280
119
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25
Fig. 4.1. Sensitivity analysis of MG IGSR PCR vs. mgc2 PCR. The upper row was used for the mgc2 PCR products, and the lower row was used for the MG IGSR PCR products.
Lanes 1 and 25: 100bps ladder. Lanes 9 and 17 are negative controls. Lanes 3 to 7 are ten-fold dilutions from undiluted down to 10-4, respectively, of pool one prepared from three tracheal
swabs collected from post challenge birds. Lanes 11 to 15 are ten-fold dilutions from undiluted
down to 10-4, respectively, of pool two prepared from three tracheal swabs collected from post
challenge birds. Lanes 19 to 23 are ten-fold dilutions from undiluted down to 10-4, respectively,
prepared from MG R (low) strain culture.
120
66 K4110BTK96 K4158CTK96 70 K4181BCK96
K5833/1TK05 58 K4649BTK98 K4246TK96 K4181CCK96 100 82 K4280CK96 K2101CK84 K5011TK00 K5054TK01 96 25 HF-51 K5037ACK00 100 K4781ATK99 K5058ETK01
F 88 K4385TK97 82 58 K4902ETK00 89 A5969 Kleven A5969 Geary 61 S6 66 K5792A/5CK05 K5792B/2CK05 MG PG31 AB098504 100 R (Low) K4465/2TK97 K4421A/1TK97 K4423BTK97 K5263E/10CK02 98 K4236/3TK96 6/85 K4029/1TK95 K5234/5CK02 100 MG A5969 L08897 A5969 Liposome 100 ts11 K4688FCK98 46
0.005
121
Fig. 4.2. Dendrogram constructed with MG IGSR sequences from 37 unrelated MG strains and isolates using the neighbor joining (NJ) method with 1000 bootstrap replicates using
MEGA3.1 (www.megasoftware.net). The numbers denote the confidence interval percentage for
a certain branch to occur. GenBank, laboratory strains, and vaccine strains sequences are in bold italic. Each US field isolate K number is followed by the species abbreviation and the year of isolation.
122
CHAPTER 5
INTRASPECIFIC DIFFERENTIATION REAL-TIME PCR FOR MYCOPLASMA
GALLISEPTICUM LIVE VACCINE EVALUATION 3
______
3 Raviv, Z., Callison, S., Ferguson, N., Kleven, S. H. To be submitted to Infection and Immunity. 123
Intraspecific Differentiating Real-Time PCR for Mycoplasma gallisepticum Live Vaccine
Evaluation
Ziv Raviv, Scott A. Callison, N. Ferguson-Noel, Stanley H. Kleven
Department of Population Health, Poultry Diagnostic and Research Center,
The University of Georgia, 953 College Station Rd., Athens, GA 30602-4875.
ABSTRACT. Mycoplasma gallisepticum causes respiratory disease and production losses in poultry. Vaccination of poultry with Mycoplasma gallisepticum live vaccines is an efficacious approach to reduce susceptibility to infection and to prevent the economic losses. The development and evaluation of live vaccines usually requires the involvement of several vaccine and challenge strains in the same experimental setup. Our goal was to develop a tool to allow the absolute differentiation between a set of known Mycoplasma gallisepticum strains in a quantitative manner. We developed 5 real-time PCR assays that absolutely differentiated between one of the five commercial and laboratory vaccine strains: F, ts-11, 6/85, K5831,
K5054, and the standard challenge strain Rlow when tested on in vitro cultures. The assay K5831
vs. Rlow was also tested on specimens from live birds that were vaccinated with K5831 and challenged with Rlow, and successfully differentiated between the vaccine and the challenge
strains in a quantitative manner. This preliminary in vivo application of the method also shed
light on possible protection mechanisms for the Mycoplasma gallisepticum K5831 vaccine strain.
124
Key words: Mycoplasma gallisepticum, live MG vaccine, MG strain, real-time PCR, dual-labeled probe.
Abbreviations: AFLP = amplified fragment length polymorphism; CCU = color changing units; CT = threshold cycle; HI = hemagglutination inhibition; MG = Mycoplasma gallisepticum;
PCR = polymerase chain reaction; PBS = phosphate buffer saline; SPA = serum plate
agglutination. RAPD = random amplified polymorphic DNA. 125
INTRODUCTION
Mycoplasma gallisepticum (MG) is an infectious respiratory pathogen of chickens and turkeys. When present in concert with other respiratory pathogens, such as infectious bronchitis virus, Newcastle disease virus, Escherichia coli, or Haemophilus paragallinarum, a condition known as chronic respiratory disease results. The disease symptoms are characterized by rales, coughing, nasal discharge, and conjunctivitis, with infraorbital sinusitis frequently seen in turkeys (16).
Mycoplasma gallisepticum is the most pathogenic and economically significant mycoplasma pathogen of poultry. Economic losses from condemnation or downgrading of carcasses, reduced feed and egg production efficiency, and increased medication costs are factors that make this one of the costliest disease problems confronting commercial poultry production worldwide. Prevention and control programs account for additional costs (16).
Transmission of MG can occur through the egg or by inhalation of contaminated air borne droplets, resulting in rapid disease transmission throughout the flock (16). Traditional prevention and control programs were based on strict biosecurity, surveillance (serology, culture, and molecular identification), and eradication of infected breeder flocks. The rapid expansion of poultry production in restricted geographical areas and the consequent recurring MG outbreaks necessitated the implementation of additional measurements.
Vaccination with bacterins has been shown to reduce, but usually not eliminate, colonization by MG following challenge. Generally, it is felt that bacterins are of minimal value in long-term control of infection on multiple-age production sites (16). Live MG vaccines appear to be more effective, and therefore more popular, than bacterins (11, 20). Vaccination with live
MG vaccines has become an accepted management tool for the control of MG in chickens and in 126 some situations it is the preferred control option, particularly when multiple age flocks are housed on the same site (3). An important characteristic of MG live vaccines is their ability to induce resistance to wild-type strain infection, and to displace wild-type strains with the vaccine strain on multiple-age production sites (15). Currently there are 3 commercially licensed vaccines, containing living cultures of either F (1), 6/85 (4) or ts-11 (19) strains of MG. The available MG live vaccines have shown little potential for use in turkeys (16).
Live vaccine development and evaluation require studies that involve two or more MG strains in the same experimental setup. Protection study formats can include only one vaccine strain and one challenge strain (17), or a few vaccine strains in different experimental groups challenged by the same virulent strain (6). Displacement studies, to evaluate the capability of vaccine strains to displace a virulent strain, utilize several vaccine strains and a challenge strain
(12). The study of the immune mechanisms by which the MG vaccines confer protection from challenge also requires the involvement of at least two strains (9). In all the different MG live- vaccine evaluation study formats, the involved strains could not be well differentiated and analyzed separately from one another once they were introduced into the experimental system.
This lack of ability to differentiate between the participating strains limits the level of control and the amount of information that could be gained from MG vaccine evaluation studies. Our objectives were to develop a research tool to allow the qualitative and quantitative differentiation between MG strains utilized in vaccine evaluation studies and to improve the reliability and efficiency of these studies. In real-time PCR, the production of specific PCR products is monitored by fluorimetric detection of amplified products and identified by melting curve analysis or specific hybridization probes (21, 22). The reaction has an inherent quantitative nature, and benefits the convenience of a one step procedure. A real-time PCR with a dual- 127 labeled probe (Taqman) appears advantageous for microorganisms strain differentiation due to the superior sensitivity and improved specificity endowed by 3 hybridizing oligo nucleotides
(two primers and a probe).
In this study, we present the concept of quantitative strain differentiating real-time PCR for the differentiation between MG strains in live vaccine evaluation studies. Based on known sequences of several genes from the 3 commercial MG vaccines (F, ts-11, 6/85), 2 laboratory vaccines (K5831, K5054), and the common challenge strain Rlow, 5 assays (each vaccine vs.
Rlow) were designed. The 5 assays absolutely differentiated between in vitro cultures of the
designated vaccine strain and the Rlow challenge strain. The implementation of this novel tool in
an in vivo MG vaccine protection study revealed an interesting insight into the quantitative
relationships between the vaccine and the challenge strains in the chicken trachea and to a
putative protection mechanism induced by the vaccine strain.
MATERIALS AND METHODS
MG strains and target gene sequences. Five MG live vaccine strains and one challenge strain were used in this study. The three MG commercial vaccine strains: F (Schering-Plough,
Summit NJ), ts-11 (Merial Select, Gainesville, GA) and 6/85 (Intervet America, Millsboro, DE) were used directly from sealed containers supplied by the manufacturer. The K5831 isolate from our laboratory depository was isolated in 2005 from chickens challenged with K2101. K2101 was isolated in 1984 from a commercial layer flock in Colorado, US, with drops in egg production. This isolate was used as an autogenous vaccine on the same farm with satisfactory results (Dr. S. H. Kleven, unpublished). The K5054 isolate from our laboratory depository was obtained from sinus exudate of commercial turkey breeders from Indiana in 2001 (5). Further 128
characterization of this isolate demonstrated its prophylactic properties (6). The MG Rlow strain from our laboratory depository served as the challenge strain. Rlow strain is a virulent MG strain,
which has been previously described (18). The sequences of the mgc2, MGA_0319, and pvpA
genes of the above 6 MG strains were published by Ferguson et al. (7).
DNA extraction. DNA was extracted from commercial vaccine resuspensions in PBS,
cultures grown in modified Frey’s broth at 37° C (13), tracheal swabs dipped in 1 ml PBS, or 1
ml laryngeal wash of vaccinated and challenged birds. Genomic DNA was extracted from 200 μl
of the above solutions using the QIAamp DNA Mini Kit (Qiagen, Valencia, CA) following the
manufacturer’s recommendations.
MG strain differentiating real-time PCR primers and probes. Five real-time PCR
assays were designed based on the known sequences of the mgc2, MGA_0319, and pvpA genes
(GenBank accession numbers listed in Table 5.1, a-e). Each assay included 2 separate Taqman
real-time PCRs, one specific for the vaccine strain and the other specific for the Rlow challenge
strain. All primers and a dual-labeled probes (TaqMan) were supplied by Integrated DNA
Technologies (IDT Inc., Coralville, IA). The primer and probe sequences and their location on
the GenBank sequences are presented in Table 5.1, a-e. The K5831 and K5054 strains share
identical sequence on the amplified region of the mgc2 gene and the same reaction was utilized
for both (Table 5.1, a-b).
MG strain differentiating real-time PCR protocol. Primers and probes were utilized in
a 25 μl reaction mix containing 12.5 μl of Quantitect Probe PCR 2X mix (Qiagen, Valencia,
CA), primers to a final concentration of 0.5 μM, and a probe to a final concentration of 0.1 μM, 3
μl of water, and 5 μl of template. Each reaction was performed in a SmartCycler (Cepheid,
Sunnyvale, CA) using a thermocycle program of 95° C for 15 min with optics off; and 40 cycles 129 of 94° C for 15 sec followed by the reaction specific annealing and extension temperatures as specified (Table 5.1, a-e), for 60 seconds with optics on. The threshold cycle number (CT Value) was determined to be the PCR cycle number at which the fluorescence of the reaction exceeded
30 units of fluorescence. Any reaction that had a recorded CT value was considered positive and any reaction that had no recorded CT value was considered negative.
Preparation of standard DNA controls. The mgc2 gene of the 5 MG vaccine strains
used in this study, and the MGA_0319 and pvpA genes of the MG Rlow strain were amplified by
PCR as previously described (7). Each amplicon (K5831 and K5054 identical) was gel-purified
and cloned into the pCR®2.1-TOPO® vector and transformed into One Shot® TOP10 competent
E. coli cells using the TOPO TA Cloning® Kit (Invitrogen, Carlsbad, CA) following the manufacturer’s recommendations. From each of the transformation assays, colonies (white colonies) were selected and grown up in LB broth with 50 μg/ml Kanamycine. Plasmid DNA was extracted using a DNA MiniPrep kit (Qiagen, Valencia, CA) per the manufacturer’s recommendations. Clones containing the proper gene insert were verified by sequencing
(utilizing the vector primers M13F and M13R). A sequence-verified plasmid from each of the transformant cultures was purified and used to construct a standard curve and to determine the quantitation limit for each of the developed reactions. Validated plasmids were stored at -70°C as standard DNA controls.
Standard curves. The quantitation and detection limit of each of the study’s real-time
PCRs were determined by 3 independent runs of each reaction, using 10-fold serial dilutions (108 to 101 copies per reaction) of the reaction target gene cloned into plasmid DNA as template.
Each reaction standard curve was generated by plotting the 3 run mean CT values vs. log10 of the plasmid template copy numbers. 130
Specificity test. Each of the study’s differentiating assays was performed on genomic
DNA extracts from stationary phase cultures of the assay’s pair of strains.
In vivo study and sample collection. Ninety-six 8 weeks old mycoplasma free commercial layer type chickens were allotted into 8 groups of 12 chickens each. Six groups were vaccinated via aerosol with ten-fold dilutions of an MG K5831 culture ranging from 6.22 x 101
CCU/ml to 6.22 x 106 CCU/ml, with approximately 1 ml of diluted culture sprayed per bird. At
33 days post vaccination, all the chickens in all the experimental groups were sampled
individually and tested by mycoplasma culture, serology, and real-time PCR. At 42 days post vaccination the 6 vaccinated groups and one non-vaccinated group were challenged with the MG
8 Rlow strain in a dose of 2.51 x 10 CCU/bird by aerosol. One group was non-vaccinated/ non-
challenged and used as negative control. Ten birds from each of the experimental groups were
necropsied at 10 days after the Rlow strain challenge, analyzed individually for air sac lesions and
sampled by mycoplasma culture and serology. Six necropsied birds per group were sampled for
real-time PCR by laryngeal wash; the larynx was cut exactly at the base (for uniformity
purposes), put in 10 ml sterile plastic tubes filled with 4 ml PBS, and vortexed for 30 seconds. A
1 ml laryngeal wash solution was submitted for DNA extraction. Tracheal sections were
submitted for tracheal mucosal width analysis as described below.
Mycoplasma isolation and identification. Choanal cleft swabs collected from the in
vivo study birds were submitted for mycoplasma culture. They were inoculated in Frey’s
modified broth and agar and incubated at 37° C. Mycoplasma isolates were identified by direct
immunofluorescence (13). 131
MG serology. Serum samples from the in-vivo study were tested for MG by the serum plate agglutination assay (SPA) (Intervet, Millsboro, DE) according to the manufacturer’s instructions, and the hemagglutination inhibition test (HI) as described (13).
Evaluation of lesions. To evaluate the level of protection induced by the K5831 strain vaccination to the chickens’ upper respiratory tract, tracheal lesions were evaluated microscopically by measuring the width of the tracheal mucosa. A section of the upper third of the trachea (approximately 2 cm distal from the larynx) was fixed in 10% neutral buffered formalin. The tracheal mucosa thickness was measured at four equidistant points on histologic slides of cross sections of tracheas (20). The level of protection to the lower respiratory tract was evaluated by gross air sac lesion scoring on a scale from 0 to 4 (10).
Statistical analysis. The HI titers, tracheal mucosa thickness and K5831 vs. Rlow assay results were analyzed by the Tukey–Kramer HSD test, and the SPA, MG isolation, and air sac lesion results were analyzed by the Kruskal-Wallis Rank Sums test (JMP_ Statistics Made
Visual; SAS Institute, Inc., Cary, NC). A P-value of ≤0.05 was considered significant in all the analyzed tests.
RESULTS
Strain differentiating assays specificity. Each of the study’s 5 differentiating assays aim to differentiate between 2 MG strains (vaccine and challenge), and was constructed of 2 mutually exclusive strain reactions. The differentiating assays specificity was tested by performing each assay’s pair of Taqman real-time PCRs on in vitro cultures of the assay’s target strains. Each strain reaction was demonstrated to be highly specific and sensitive to the reaction’s target strain and absolutely negative to the reaction’s reciprocal strain in each particular assay. The results, 132
expressed as CT values, of the study’s 5 differentiating assay specificity tests are summarized in
Table 5.2.
Strain differentiating assays quantitation and detection limits. Standard curves were
assembled for the 6 Taqman real-time PCRs that construct the study’s 5 strain differentiating
assays. Each reaction standard curve was determined by 3 independent runs of each reaction
using 10-fold serial dilutions (108 to 101 copies per reaction) of the reaction’s standard DNA
control. The mean CT values, the linear equation and the R-squared value of the obtained
standard curves are summarized in Table 5.3. Five out of the 6 reactions were highly sensitive
and detected 10 copies of plasmid DNA per reaction (25 μl) within the linear phase of the
standard curve. The MG Rlow strain (pvpA ) reaction was adequately sensitive and detected 100 copies of plasmid DNA per reaction within the linear phase of the standard curve.
The in vivo study results. To evaluate the developed method in a live bird situation a
pilot in vivo study was performed. Chickens were vaccinated with a series of ten-fold dilutions of
the MG K5831 strain and 42 days later were challenged with the MG Rlow strain as described
above. The experimental groups were sampled at 33 days post vaccination and at 10 days post
challenge for the strain differentiating real-time PCR method, mycoplasma culture, and serology.
The level of protection conferred to the vaccinated chicken respiratory tract was analyzed by the
air sac lesion score and the tracheal mucosal width assay. The results of the post vaccination and post challenge tests are summarized in Tables 5.4 and 5.5, respectively. The post vaccination results indicated that only the 3 highest doses of the K5831 strain culture (6.22 X 104, 6.22 X
105, 6.22 X 106 / CCU) were able to colonize the chicken tracheas and that all the experimental
groups were Rlow strain negative. On the post challenge examination the birds that were
vaccinated with the 2 highest doses of the K5831 strain, 6.22 X 105 / CCU and 6.22 X 106 / 133
CCU, demonstrated a sharp decrease in tracheal copy number of the Rlow challenge strain. These
statistically significant lower tracheal copy numbers of the Rlow challenge strain coincided with
the statistically significant lower level of tracheal and air sac lesion scores in these 2
experimental groups. Another interesting finding was the drop in copy number of both vaccine
and challenge strains in the birds that were vaccinated with the highest dose of the K5831 strain
(6.22 X 106 / CCU).
DISCUSSION
The evaluation of live avian mycoplasma vaccines and the study of their mechanism of
action have lacked the ability to differentially identify and quantify the participating strains within an experimental setup. The available DNA fingerprinting methods (e.g., RAPD, AFLP) are highly dependent on the isolation of the tested organisms in a pure culture (8), and are not suitable for multi strain infection situations. The lack of ability to differentially identify the participating strains imposed significant limitations to the level of control that could be achieved
in live vaccine evaluation studies. After the introduction of the vaccine strain, it was no longer
possible to accurately verify that only the vaccine strain was present in the experimental birds. In
vaccinated bird challenge studies and displacement of field strains by vaccine strain studies, the
inability to sensitively detect all the participating strains compromised the soundness of these
studies’ conclusions. The mechanism of action of empirically protective vaccine strains could
not be well studied without the ability to differentiate and quantify the involved strains in
specimens from live birds. The development of the strain differentiating real-time PCR approach
addresses the above issues in a highly sensitive, quantitative, and specific manner, as well as,
provides investigators with a reliable and a feasible tool for live vaccine evaluation studies. 134
It is very important to clarify that the differentiation properties of the strain differentiating real-time PCR method is restricted to the known array of strains that were included in the designed assay. The design of this differentiation method was based on sequence differences in unique genomic regions between a known pair of strains. It is most likely that the targeted sequences that are absolutely different between the assay’s two strains are shared by other MG strains. Such other MG strains will not be differentiated from the assay’s target strain.
The purpose of the in vivo part of the study was to validate the performance of the developed method on samples from live birds, but it also provided an interesting insight into the live MG vaccine mode of action and protection mechanisms. The pre-challenge evaluation of the vaccine and the challenge strains confirmed that none of the experimental groups were prematurely exposed to the challenge strain (Table 5.4). The post-challenge quantitative evaluation indicated statistically significant lower copy numbers of the challenge strain in the groups that were successfully colonized by the K5831 vaccine (6.22 X 104, 6.22 X 105, 6.22 X
106 / CCU). Lower copy numbers of both the vaccine and the challenge strains were detected in
the group vaccinated with the highest dose (Table 5.5). The lower copy numbers of the challenge
strain in the higher dose vaccinated groups, 6.22 X 105 / CCU and 6.22 X 106 / CCU, correlated
well with protection from tracheal and air sac lesions in these groups (Table 5.5). These
observations could be meaningful for the understanding of the vaccine’s protective mechanisms.
Suggestions that could be proposed and further evaluated include: the reduced copy number of the challenge strain is not due to competitive exclusion by the vaccine strain but the consequence of the immune response induced by the vaccine strain; the immune response induced by the non- virulent K5831 strain prevented the Rlow challenge strain from massive tracheal colonization and
effectively protected against tracheal and air sac lesions. It is interesting to note that two decades 135 ago quite a similar observation was made by Levisohn et al. (14) by utilizing drug resistance variation between MG strains for differentiation and agar plate colony count for qunatitation.
This preliminary data suggests possible protection mechanisms for the K5831 vaccine strain, and demonstrate the plentiful opportunities that the quantitative strain differentiating real-time PCR approach brings to the field of live mycoplasma vaccine research.
This pilot development of a quantitative strain differentiating real-time PCR approach focused on the method’s poof of concept. The real-time PCR with a dual labeled probe technology and the up-to-date real-time PCR equipment allow further improvements of the developed assays. One area for improvement could be the inclusion of the study’s dual reaction assays into a unified multiplex real-time PCR assay, as recently described in closely related viruses (2). Another possible improvement could be the inclusion of more than 2 strains per assay.
This is the first report of a molecular assay that can absolutely differentiate between a known array of intraspecific mycoplasma strains in a mixed sample. The real-time PCR with a dual labeled probe technology endowed the method with its superior sensitivity, specificity and quantitative properties. The initial application of this quantitative strain differentiating tool was designed for live mycoplasma vaccine evaluation studies and indeed provided a significant upgrade to this area of research. The demonstrated concept of intraspecific differentiating real- time PCR is general and could be considered for a variety of research applications in mycoplasmology and microbiology.
136
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140
Table 5.1a. The Taqman real-time PCR specifications of the K5831 (K2101) versus Rlow strain differentiating assay.
Assay K5831 vs. Rlow
MG strain K5831 (K2101) Rlow
Gene and GenBank seq. accession # mgc2, AY556238 MGA_0319, AY556072
Forward (F) primer sequence (5’→3’) CTCAAGAACCAACTCAACCA ACTAATAATACTAACCGCGATAAC
Reverse (R) primer sequence (5’→3’) GGATTAGGACCAAATTGCGGAT GTAGTTCGATTCGTTTCACCTGTTT
Dual labeled probe (P) sequence (5’→3’) CAACCAGGATTTAATCAACCTCAG AAATGGTAACACAGCCAACACCTACTC
Oligos location on GenBank sequence F: 218-237, R: 329-308, P: 280-303 F: 190-213, R: 359-335, P: 279-305
PCR product size 112bps 170bps
Annealing and extension temp. 61°C 62°C
141
Table 5.1b. The Taqman real-time PCR specifications of the K5054 versus Rlow strain differentiating assay.
Assay K5054 vs. Rlow
MG strain K5054 Rlow
Gene and GenBank seq. accession # mgc2, AY556282 pvpA, AY556306
Forward (F) primer sequence (5’→3’) CTCAAGAACCAACTCAACCA TTCTCAACCACGCCCAATG
Reverse (R) primer sequence (5’→3’) GGATTAGGACCAAATTGCGGAT GGTTAGATCCACCAACTCCCA
Dual labeled probe (P) sequence (5’→3’) CAACCAGGATTTAATCAACCTCAG CAATGGGTGCTCCAAATCCTCAAC
Oligos location on GenBank sequence F: 218-237, R: 329-308, P: 280-303 F: 246-264, R: 364-344, P: 290-313
PCR product size 112bps 119bps
Annealing and extension temp. 61°C 61°C
142
Table 5.1c. The Taqman real-time PCR specifications of the F versus Rlow strain differentiating assay.
Assay F vs. Rlow
MG strain F Rlow
Gene and GenBank seq. accession # mgc2, AY556230 MGA_0319, AY556072
Forward (F) primer sequence (5’→3’) GTTCAAGAACCAACTCAACCA ACTAATAATACTAACCGCGATAAC
Reverse (R) primer sequence (5’→3’) GATTAAGACCGAATTGTGGATTG GTAGTTCGATTCGTTTCACCTGTTT
Dual labeled probe (P) sequence (5’→3’) CAACCAGGATTTAATCAACCTCAG AAATGGTAACACAGCCAACACCTACTC
Oligos location on GenBank sequence F: 217-237, R: 328-306, P: 280-303 F: 190-213, R: 359-335, P: 279-305
PCR product size 112bps 170bps
Annealing and extension temp. 61°C 62°C
143
Table 5.1d. The Taqman real-time PCR specifications of the st-11 versus Rlow strain differentiating assay.
Assay ts-11 vs. Rlow
MG strain ts-11 Rlow
Gene and GenBank seq. accession # mgc2, AY556232 MGA_0319, AY556072
Forward (F) primer sequence (5’→3’) CTCAAGAACCAACTCAACCA ACTAATAATACTAACCGCGATAAC
Reverse (R) primer sequence (5’→3’) GGGGATTAGGAATAAATTGCGGAT GTAGTTCGATTCGTTTCACCTGTTT
Dual labeled probe (P) sequence (5’→3’) CAGCCAGGATTTAATCAACCTCAG AAATGGTAACACAGCCAACACCTACTC
Oligos location on GenBank sequence F: 218-237, R: 331-308, P: 280-303 F: 190-213, R: 359-335, P: 279-305
PCR product size 114bps 170bps
Annealing and extension temp. 61°C 62°C
144
Table 5.1e. The Taqman real-time PCR specifications of the 6/85 versus Rlow strain differentiating assay.
Assay 6/85 vs. Rlow
MG strain 6/85 Rlow
Gene and GenBank seq. accession # mgc2, AY556231 MGA_0319, AY556072
Forward (F) primer sequence (5’→3’) CTCAAGAACCAACTCAACCA ACTAATAATACTAACCGCGATAAC
Reverse (R) primer sequence (5’→3’) GGATGAGGACCAAATTGCGGAT GTAGTTCGATTCGTTTCACCTGTTT
Dual labeled probe (P) sequence (5’→3’) CAGCCAGGATTTAATCAACCTCAG AAATGGTAACACAGCCAACACCTACTC
Oligos location on GenBank sequence F: 218-237, R: 329-308, P: 280-303 F: 190-213, R: 359-335, P: 279-305
PCR product size 112bps 170bps
Annealing and extension temp. 61°C 62°C
145
Table 5.2. Strain differentiating assay specificity test results, expressed in CT values.
Specificity was tested by performing each assay’s pair of Taqman real-time PCRs on in vitro cultures of the assay’s target strains.
Differentiating MG strain Reaction’s target Reaction’s
Assay real-time PCR strain CT value reciprocal strain CT
value
K5831 vs. Rlow K5831 12.17 Negative
Rlow 12.49 Negative
K5054 vs. Rlow K5054 12.62 Negative
Rlow 15.65 Negative
F vs. Rlow F 12.01 Negative
Rlow 12.49 Negative
ts-11 vs. Rlow ts-11 15.15 Negative
Rlow 12.49 Negative
6/85 vs. Rlow 6/85 14.86 Negative
Rlow 12.49 Negative 146
Table 5.3. Summary of the mean CT values, the linear equations and the R-squared values of the study’s Taqman real-time
PCRs standard curves.
MG strain real-time Mean CT values of template log10 copy number Linear equation R-squared
PCR (target gene) 1 2 3 4 5 6 7 8
K5831 & 37.20 33.48 30.48 27.15 23.97 20.74 17.28 13.70 y = -0.3021x + 12.203 R2 = 0.9996
K5054 (mgc2) A
F (mgc2) 37.70 34.76 31.19 27.71 24.20 20.97 17.57 14.04 y = -0.2939x + 12.145 R2= 0.9997
6/85 (mgc2) 37.17 33.64 29.97 26.87 23.31 20.09 16.82 13.40 y = -0.296x + 11.947 R2= 0.9997 ts-11 (mgc2) 36.63 33.41 30.19 27.05 23.47 20.27 16.94 13.42 y = -0.3019 x + 12.099 R2= 0.9998
2 Rlow (MGA_0319) 38.12 34.80 30.72 27.49 24.30 20.65 17.23 13.74 y = -0.2876x + 11.944 R = 0.9995
2 Rlow (pvpA) - 33.33 30.44 27.42 23.66 20.75 17.36 13.80 y = -0.3059x + 12.288 R = 0.9989
A The K5831 and K5054 strains share identical sequence on the amplified region of the mgc2 gene and the same reaction was utilized for both 147
Table 5.4. Summary of the MG serology, isolation, and K5831 vs. Rlow assay results of chickens sampled 33 days post vaccination with the MG K5831 strain A.
Vaccine SPA HI MG K5831 strain Rlow strain
C Dose mean log10 mean isolation log10 mean copy log10 mean
(CCU/ml) grade B titer number D copy number D
None 0.0 a 0.0 a 0/12 a 0 a 0 a
6.22 x 101 0.0 a 0.0 a 0/12 a 0 a 0 a
6.22 x 102 0.0 a 0.0 a 0/12 a 0 a 0 a
6.22 x 103 0.0 a 0.0 a 0/12 a 0 a 0 a
6.22 x 104 0.7 a 0.4 a 4/12 b 0.90 a 0 a
6.22 x 105 3.3 b 0.2 a 12/12 c 2.83 b 0 a
6.22 x 106 4.0 b 0.1 a 11/11 c 2.93 b 0 a
A Values within a column with a different lower case superscript are significantly
different (P< 0.05)
B Agglutination was scored on a scale 0 to 4; score of 1 considered suspected, and score
of 2 or greater was considered positive.
C Number of positive samples/ Number of tested samples
D Copy number values are per reaction; 5 µl of DNA extract solution in a total volume of
25 µl. 148
Table 5.5. Summary of the MG serology, isolation, air sac lesions, tracheal mucosal width analysis and K5831 vs. Rlow assay
A results of chickens sampled 55 days post MG K5831 strain vaccination and 10 days post MG Rlow strain challenge .
K5831 Rlow SPA HI MG Air sac Tracheal K5831 strain Rlow strain
C lesion vaccine dose challenge mean log10 mean isolation mucosal log10 mean log10 mean C (CCU/ml) grade B titer score mean thickness copy copy
(μm) number D number D
None No 0.0 a 1.2 a 0/10 a 0/10 a 70.7 ± 20.5 a 0 a 0 a
None Yes 2.9 b c 2.2 b 10/10 b 10/10 b 173.8 ± 60.6 c 0 a 5.34 b
6.22 x 101 Yes 3.4 c 2.3 b 10/10 b 10/10 b 252.6 ± 59.8 d 0 a 5.18 b
6.22 x 102 Yes 2.7 b c 2.4 b 10/10 b 10/10 b 151.7 ± 59.2 b c 0 a 5.19 b
6.22 x 103 Yes 3.3 c 2.3 b 10/10 b 9/10 b 175.9 ± 64.4 c 0 a 5.12 b
6.22 x 104 Yes 2.8 b c 2.3 b 10/10 b 10/10 b 186.7 ± 70.6 c d 0.60 a 4.66 b
6.22 x 105 Yes 3.1 b c 2.3 b 10/10 b 5/10 a 86.3 ± 13.8 a b 3.03 b 2.66 c
6.22 x 106 Yes 2.3 b 2.2 b 10/10 b 1/10 a 96.1 ± 19.8 a b 1.40 a b 1.97 c
A Values within a column with a different lower case superscript are significantly different (P< 0.05)
B Agglutination was scored on a scale 0 to 4; score of 1 considered suspected, and score of 2 or greater was considered positive.
C Number of positive samples/ Number of tested samples 149
D Copy number values are per reaction; 5 µl of DNA extract solution in a total volume of
150
CHAPTER 6
DISCUSSION
Human subtlety will never devise an invention more beautiful, more simple or more direct than does Nature, because in her inventions, nothing is lacking and nothing is superfluous.
(Leonardo da Vinci)
As the smallest and simplest known free-living and self-replicating forms of life it could be argued that, of all Nature’s inventions, the mycoplasmas best fit da Vinci’s description. Alot of scientific attention was directed to the fascinating biology of mycoplasmas and to their role as a minimal life form model. However, the vast majority of the research in the area of mycoplasmology focuses on the human and animal pathogenic mycoplasma species and the diseases that they cause. Avian mycoplasmas were firstly reported over a hundred years ago (3) and still considered as one of the main disease challenges to the poultry industry world wide.
Significant progress was made in the area of avian mycoplasmology along the years, but the search for better preventative and control measures pursue. An area of research that laboratories around the world focused on during the last decade was the development of methods to characterize and identify avian mycoplasma (mainly MG) strains and strain variability. Also in this dissertation we focused on the development of MG intraspecific differentiation methods for infection tracking and live vaccine evaluation studies. Another focus of this dissertation was the on going debate whether subclinical mycoplasma infections affect the production and the sensitivity to other disease agents in poultry flocks. 151
The first study of this dissertation focused on the role of endemic MS infection in US commercial layer complexes, and whether MS challenge at the onset of lay could be associated with the increase in E. coli peritonitis mortality reported during the last decade. E. coli peritonitis is a common cause of commercial layer mortality and believed to be the number one cause of layer mortality in the US table egg industry during the last decade (Kenton Kreager, personal communication). In order to investigate the possible causes for the increased level of layer E. coli peritonitis we had to develop a model that would reproduce the syndrome. The successful reproduction of a typical layer E. coli peritonitis disease by the experimental model allowed us to investigate the role that MS might have in this syndrome. A beneficial byproduct of the experimental model was the suggestion of a pathogenesis mechanism for the disease. The direct application of the causative E. coli to the upper trachea and the reisolation of an identical E. coli strain from the viscera and bone marrow of dead birds with peritonitis are highly suggestive of the respiratory origin of the layer peritonitis syndrome. This observation is in agreement with the industry notion of the respiratory origin of layer peaking period E. coli peritonitis (Kenton
Kreager, personal communication).
The severity of the tracheal lesions that were induced by the K3344 MS strain brings into question the prevailing assumption of MS as a benign infection in layers. Indeed, the affected chickens appeared clinically normal, but it is likely that birds with such altered tracheas will be more susceptible to respiratory disease agents and environmental contaminants. Our hypothesis is that the injured trachea would allow the avian E. coli higher level of colonization and systemic penetration that would result in a higher level of peritonitis.
The experiment demonstrated that the combined challenge of MS plus E. coli induced statistically significant mortality relative to the negative controls while the E. coli alone did not. 152
That result implies that the intratracheal E. coli challenge by itself is not enough to produce significant peritonitis mortality in layers and that the MS challenge was required to induce the peritonitis mortality. This finding is in agreement with the general notion of colibacillosis as a secondary disease, following a primary infection with respiratory pathogens and/or unfavorable environmental conditions (1). But the above interpretation appears less conclusive when considering the only numerical, and not statistically significant, difference between the mortality in the E. coli and the E. coli plus MS groups. The difficulty to achieve a more definitive conclusion was the consequent of the relatively low E. coli peritonitis mortality in our model, previous models (12), and most clinical cases, and it is questionable whether mortality is the statistically appropriate measurement for this syndrome. The necropsy observation of abundant sub-clinical lesions in the body cavity of MS challenged birds versus no lesions in the solely E. coli challenged group is supportive of the significant role of the MS challenge in the layer peritonitis syndrome. It also leads us to think that body cavity sampling (lesion scoring, histology, E. coli culture), from 7 days post challenge and onward, could be a better tool for measuring the effect of the different challenges utilized in this experimental model.
This study offers a useful challenge model for the reproduction of layer E. coli peritonitis syndrome. The results imply a possible pathogenesis mechanism for the disease which is in agreement with the clinical observations of respiratory origin of the layer E. coli peritonitis syndrome. The general notion of colibacillosis as a secondary disease was also demonstrated for the layer E. coli peritonitis syndrome, and a virulent MS strain appeared to be a possible primary factor in this syndrome.
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The second study of this dissertation describes the first utilization of the single-locus sequence typing (SLST) approach for differentiation of MG isolates. The possibility of using a single variable chromosomal locus with high discriminatory power for differentiation of MG isolates harbors significant advantages over the currently used methods. The freedom from the requirement to culture the organism, the 100% typeability and reproducibility, the quick accumulation of reference data base, and the ease and rapid application are the major advantages of a single locus sequencing method. Another important advantage is the ability to perform the
SLST analysis as part of the diagnostic MG PCR test. The main disadvantage of the SLST approach is the analysis of a very limited portion of the genome, and when differences are not detected it is required to continue and search for differences with alternative methods before a conclusion can be reached.
The rRNA intergenic spacer region (IGSR) size of most avian mycoplasmas is smaller than five hundred base pairs (bps). Exceptions to this rule are MG and Mycoplasma imitans, which contain IGSRs of 660 bps and 2488 bps, respectively (7). Albeit that in several mollicutes very low intraspecific variability of the rRNA IGSR has been reported (11), we hypothesized that the unique MG IGSR is a reasonable place to look for intraspecific genotypic polymorphism. We assumed that a relatively large nonsense genome segment with no reading frame constraints, and with no homologous counterpart sequences in the genome to allow gene conversion repair, could harbor evolutionary accumulation of genotypic changes. We also based our hypothesis on the knowledge that in other prokaryotes intraspecific variations in the lengths and sequences of rRNA IGSR have been described (5, 6, 9, 10).
The results indicated significant sequence variability and good discriminatory power among MG strains by the MG IGSR sequence. The discriminatory (D) index of 0.950 was found 154 to be superior to the previously analyzed MG genes: gapA, MGA_0319, mgc2 and pvpA with discriminatory indices of 0.713, 0.874, 0.915 and 0.920, respectively (4). Sequence stability of the MG IGSR was demonstrated through numerous in vitro passages. The region’s sequence stability, and our accumulating experience in comparing MG IGSR sequences with other genotyping methods (unpublished), led us to conclude that even one base variation is enough indication for isolate differentiation. Another important observation was that none of the study’s strains and field isolates shared the ts-11 vaccine strain MG IGSR sequence. This finding is important in the context that according to our laboratory data several field isolates share the ts-11 mgc2 sequence (unpublished); the mgc2 gene PCR is widely used in this laboratory for diagnostic purposes. This superior differentiating capability of the MG IGSR versus the mgc2 gene could be useful in situations where the involvement of the ts-11 vaccine strain is suspected.
This MG IGSR characteristic could address the increased need of the poultry industry for non- culture dependent differentiating tools between vaccine strains and field isolates.
The MG IGSR PCR was highly specific and the amplification of the M. imitans rRNA
IGSR was expected since these two closely related mycoplasmas having nearly identical rRNA sequences. The size difference between the MG amplicon and the M. imitans amplicon is due to a putative transposase insertion in the M. imitans 16S-23S rRNA IGSR (7), and makes these two species distinguishable by this reaction.
In summary, the uniquely sized MG 16S-23S rRNA IGSR sequence harbored significant genotypic polymorphism that could be utilized as a preliminary (SLTS) or complementary tool in MG strain differentiation in diagnostic cases and epizootiological studies. The MG IGSR PCR demonstrated high sensitivity and specificity and could be a feasible alternative to the currently available MG PCRs. 155
The third study of this dissertation focused on the development of a quantitative strain differentiating real-time PCR approach for MG live vaccine evaluation. The evaluation of live avian mycoplasma vaccines and the study of their mechanism of action have lacked the ability to differentially identify and quantify the participating strains within an experimental setup. The available DNA fingerprinting methods (e.g., RAPD, AFLP) are highly dependent on the isolation of the tested organisms in a pure culture (8), and are not suitable for multi strain infection situations. The lack of ability to differentially identify the participating strains imposed significant limitations to the level of control that could be achieved in live vaccine evaluation studies. After the introduction of the vaccine strain, it was no longer possible to accurately verify that only the vaccine strain was present in the experimental birds. In vaccinated bird challenge studies and displacement of field strains by vaccine strain studies, the inability to sensitively detect all the participating strains compromised the soundness of these studies’ conclusions. The mechanism of action of empirically protective vaccine strains could not be well studied without the ability to differentiate and quantify the involved strains in specimens from live birds. The development of the strain differentiating real-time PCR approach addresses the above issues in a highly sensitive, quantitative, and specific manner, as well as, provides investigators with a reliable and a feasible tool for live vaccine evaluation studies.
It is very important to clarify that the differentiation properties of the strain differentiating real-time PCR method is restricted to the known array of strains that were included in the designed assay. The design of this differentiation method was based on sequence differences in unique genomic regions between a known pair of strains. It is most likely that the 156 targeted sequences that are absolutely different between the assay’s two strains are shared by other MG strains. Such other MG strains will not be differentiated from the assay’s target strain.
The in vivo part of the study provided an interesting insight into the live MG vaccine mode of action and protection mechanisms. The post-challenge quantitative evaluation indicated statistically significant lower copy numbers of the challenge strain in the groups that were successfully colonized by the K5831 vaccine and lower copy numbers of both the vaccine and the challenge strains in the group vaccinated with the highest dose of the K5831 vaccine. The lower copy numbers of the challenge strain in the higher dose vaccinated groups correlated well with protection from tracheal and air sac lesions in these groups. These observations could lead to a better understanding of the live MG vaccine protective mechanisms. One hypothesis is that the reduced copy number of the challenge strain is not due to competitive exclusion by the vaccine strain but the outcome of another mechanism. Another hypothesis is that the immune response induced by the non-virulent K5831 strain prevented the Rlow challenge strain from
massive tracheal colonization and effectively protected against tracheal and air sac lesions. This
preliminary data suggests possible protection mechanisms for the K5831 vaccine strain, and demonstrate the plentiful opportunities that the quantitative strain differentiating real-time PCR approach brings to the field of live mycoplasma vaccine research.
This pilot development of a quantitative strain differentiating real-time PCR approach
focused on the method’s proof of concept. The real-time PCR with a dual labeled probe
technology and the up-to-date real-time PCR equipment allow further improvements of the
developed assays. One area for improvement could be the inclusion of the study’s dual reaction assays into a unified multiplex real-time PCR assay, as recently described in closely related 157 viruses (2). Another possible improvement could be the inclusion of more than 2 strains per assay.
This is the first report of a molecular assay that can absolutely differentiate between a known array of intraspecific mycoplasma strains in a mixed sample. The real-time PCR with a dual labeled probe technology endowed the method with its superior sensitivity, specificity and quantitative properties. The initial application of this quantitative strain differentiating tool was designed for live mycoplasma vaccine evaluation studies and indeed provided a significant upgrade to this area of research. The demonstrated concept of intraspecific differentiating real- time PCR is general and could be considered for a variety of research applications in mycoplasmology and microbiology.
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