Influence of Bacterial Communities Based on 454Pyrosequencing on the Survival of Escherichia Coli O157:H7 in Soils

Total Page:16

File Type:pdf, Size:1020Kb

Influence of Bacterial Communities Based on 454Pyrosequencing on the Survival of Escherichia Coli O157:H7 in Soils RESEARCH ARTICLE Influence of bacterial communities based on 454-pyrosequencing on the survival of Escherichia coli O157:H7 in soils Jincai Ma1,3, Abasiofiok M. Ibekwe1, Ching-Hong Yang2 & David E. Crowley3 1USDA-ARS U. S. Salinity Laboratory, Riverside, CA, USA; 2Department of Biological Sciences, University of Wisconsin, Milwaukee, WI, USA; and 3Department of Environmental Sciences, University of California, Riverside, CA, USA Correspondence: Abasiofiok M. Ibekwe, Abstract USDA-ARS-U. S. Salinity Laboratory, 450 W. Big Springs Rd, Riverside, CA 92507, Shiga toxin-producing Escherichia coli O157:H7 has been implicated in many USA. Tel.: +1 951 369 4828; foodborne illnesses. In this study, survival of E. coli O157:H7 in 32 soils from fax: +1 951 342 4964; California (CA) and Arizona (AZ) was investigated. Our goal was to correlate e-mail: [email protected] the survival time of E. coli O157:H7 in soils with 16S rRNA pyrosequencing based bacterial community composition. Kohonen self-organizing map of sur- Received 28 September 2012; revised 14 vival and associated soil chemical, physical and biological variables using artifi- January 2013; accepted 23 January 2013. Final version published online 26 February cial neural network analysis showed that survival of E. coli O157:H7 in soils 2013. was negatively correlated with salinity (EC), but positively correlated with total nitrogen (TN) and water soluble organic carbon (WSOC). Bacterial diversity as DOI: 10.1111/1574-6941.12083 determined by the Shannon diversity index had no significant (P = 0.635) effect on ttd, but individual bacterial phyla had different effects. The survival Editor: Julian Marchesi of E. coli O157:H7 was positively correlated with the abundances of Actinobac- teria (P < 0.001) and Acidobacteria (P < 0.05), and negatively correlated with Keywords those of Proteobacteria and Bacteroidetes (P < 0.05). Our data showed that spe- contamination; fresh produce; organic; cific groups of bacteria correlate with the persistence of E. coli O157:H7 in soils conventional. thus opening new ways to study the influence of certain bacterial phyla on per- sistence of this pathogen and other related pathogens in complex environ- ments. (2008) showed that the changes in microbial diversities Introduction and community compositions coincided with an enhance- Numerous studies have been carried out to investigate ment of the survival rate of the invading pathogen. The the fate of Escherichia coli O157:H7 in different agricul- basic explanation presented by van Elsas et al. (2011) was tural systems with major focus on the survival of E. coli that lowering of the complexity of the soil microbiota O157:H7 in soils and manure-amended soils (Jiang et al., probably resulted in a reduction in functional redun- 2002; Franz et al., 2008; Semenov et al., 2008). One of dancy, which enhances the chances for the introduced the most recent review articles (van Elsas et al., 2011) on microorganisms to occupy a niche in the system and per- survival of E. coli O157:H7 showed that temperature, soil sist as a member of the microbial community. They con- structure, and microbial communities were the most cluded that some organisms could be direct competitors important factors affecting survival (van Elsas et al., by occupying the same niche, whereas others might have 2011). These authors showed from their previous studies antagonistic or predatory activities. However, these (van Elsas et al., 2007) that the survival of E. coli O157: authors lamented the lack of data on impact of different H7 was inversely proportional to the diversity of the functional bacterial groups on survival of E. coli O157:H7. MICROBIOLOGY ECOLOGY MICROBIOLOGY microbial community established through differential Depending on the soil physical, chemical, and biologi- fumigation and regrowth activities. Using polymerase cal characteristics and environmental factors (e.g. temper- chain reaction–denaturing gradient gel electrophoresis ature and precipitation), the survival time of E. coli (PCR-DGGE), Franz et al. (2008) and Semenov et al. O157:H7 in soils varies from 1 week to 6 months, and ª 2013 Federation of European Microbiological Societies FEMS Microbiol Ecol 84 (2013) 542–554 Published by Blackwell Publishing Ltd. All rights reserved Survival of Escherichia coli O157:H7 in soils 543 even longer in some extreme cases (Maule, 2000; Mubiru Each sample (0–15 cm) was a composite of several indi- et al., 2000; Ibekwe et al., 2007, 2010; Ibekwe & Ma, vidual soil cores taken at 5-m intervals. Equal numbers of 2011; Ma et al., 2011). It would be interesting to investi- samples from conventional farming practice and organic gate the role of specific environmental variables, particu- farming practice were collected from each area (32 soils, larly functional bacterial groups, on the overall survival of 16 organically, 16 conventionally managed soils). Yuma E. coli O157:H7 using traditional microbial ecology and Imperial Valley shared similar weather conditions, approaches (e.g. PCR-DGGE), next-generation sequencing including MAT and MAP, due to the closeness of the two techniques (e.g. 454-pyrosequencing and Illumina), and locations in comparison with Salinas Valley, CA. Soil pH microarray protocol (e.g. PhyloChip). The low sequencing was between 6.7 and 8.0. Bagged samples were taken to depth of the traditional PCR cloning approach when the laboratory under ice. Vegetation, roots, and stones compared with the vast genetic diversity present in soils were removed and the soil sieved (< 2 mm). Soil physi- hindered a comprehensive characterization of the micro- cal, chemical, and some biological characteristics are as bial community structure. In this aspect, the current reported (Ma et al., 2012a, b). Total organic carbon (OC, community analyses typically represent a mere snapshot of %) and total nitrogen (TN, %) were determined using the dominant members, with little information on taxa with Flash 2000 NC Analyzers (Thermo Scientific, Lakewood, À medium to low abundances. High-throughput sequencing NJ). Soil microbial biomass carbon (MBC, mg kg 1) was is a promising method, as it provides enough sequencing extracted by the chloroform-fumigation–extraction depth to cover the complex microbial communities method (Vance et al., 1987). Salinity measured as electri- À (Shendure & Ji, 2008). For this reasons, we believe that cal conductivity (EC, dS m 1) of each soil was obtained the correlation of different bacterial phyla based on deep by determining the conductivity of soil water extract sequencing may provide some insights into some of the (water to soil ratio, 1 : 1, vol:wt) using a conductivity bacterial groups that may affect the persistence of E. coli meter (Oakton conductivity meter, Oakton, Houston, O157:H7 in soil. TX). In this study, the survival of Shiga toxin–producing E. coli O157:H7 strain EDL933 in 32 soils from three Bacterial strains major leafy green-producing areas of CA and AZ was investigated. The majority of E. coli O157:H7 outbreaks An E. coli O157:H7 strain EDL933 was used in this study have been associated with Salinas Valley area in CA, (ATCC 43895), as described previously (Ma et al., 2011). where most of the summer produce is grown compared Escherichia coli O157:H7 wild type was tagged with nali- toYuma,AZ,andImperialValley,CA,wherewinterproduce dixic acid in addition to rifampicin resistance to facilitate is grown. Our work expands on the above studies using the enumeration, and its growth curve in LB (Luria- 454-pyrosequencing-based technology to address the role Bertani) broth and survival in soils were found to be of different bacterial phyla on the survival of this patho- identical to those of the nontagged wild-type strain (Ma gen. In the current study, the survival data were analyzed et al., 2011). using the Weibull model (Mafart et al., 2002; Franz et al., 2008) and artificial neural network analysis using Kohonen Escherichia coli O157:H7 EDL933 survival in soils self-organizing map of E. coli survival, and the data were correlated with soil bacterial community composition and Cells were pregrown overnight in LB medium, harvested soil properties. by centrifugation (12 000 g) for 10 min, and washed with phosphate buffer (10 mM, pH 7.2) three times. The cell pellets were finally resuspended in sterile deionized water Materials and methods and used as inoculum. The cells were added in soils to a final density of about 0.5 9 107 CFU per gram soil dry À Soil collection and characterization weight (gdw 1) according to a method slightly adapted Soil samples were collected from three major fresh from Franz et al. (2008). About 500 g of the inoculated produce-growing areas: Salinas Valley area CA, Imperial soil was transferred to a plastic bag that was closed but, Valley, southern CA, and Yuma Valley, AZ. The sampling which had some holes at the top to allow air exchange as Global Positioning System (GPS) coordinates, mean previous described (Ma et al., 2011). The same amount annual temperature (MAT), and mean annual precipita- of noninoculated soil was also placed into another plastic tion (MAP), as well as other environmental parameters of bag, which was used as a noninoculated control, with sampling sites, were previously described (Ma et al., deionized water being added instead of cell suspension in 2012a, b; Table S1). The major fresh produce growing on triplicate plastic bags. The plastic bags were weighed and these locations during sampling were lettuce and spinach. incubated at 22 °C. Moisture content of the soil sample FEMS Microbiol Ecol 84 (2013) 542–554 ª 2013 Federation of European Microbiological Societies Published by Blackwell Publishing Ltd. All rights reserved 544 J. Ma et al. was adjusted to 50% of WHC, and water concentration linear curve is observed. The scale parameter, d, repre- was maintained constantly during the course of an exper- sents the time (day) needed for first decimal reduction.
Recommended publications
  • Detection of a Bacterial Group Within the Phylum Chloroflexi And
    Microbes Environ. Vol. 21, No. 3, 154–162, 2006 http://wwwsoc.nii.ac.jp/jsme2/ Detection of a Bacterial Group within the Phylum Chloroflexi and Reductive-Dehalogenase-Homologous Genes in Pentachlorobenzene- Dechlorinating Estuarine Sediment from the Arakawa River, Japan KYOSUKE SANTOH1, ATSUSHI KOUZUMA1, RYOKO ISHIZEKI2, KENICHI IWATA1, MINORU SHIMURA3, TOSHIO HAYAKAWA3, TOSHIHIRO HOAKI4, HIDEAKI NOJIRI1, TOSHIO OMORI2, HISAKAZU YAMANE1 and HIROSHI HABE1*† 1 Biotechnology Research Center, The University of Tokyo, 1–1–1 Yayoi, Bunkyo-ku, Tokyo 113–8657, Japan 2 Department of Industrial Chemistry, Faculty of Engineering, Shibaura Institute of Technology, Minato-ku, Tokyo 108–8548, Japan 3 Environmental Biotechnology Laboratory, Railway Technical Research Institute, 2–8–38 Hikari-cho, Kokubunji-shi, Tokyo 185–8540, Japan 4 Technology Research Center, Taisei Corporation, 344–1 Nase, Totsuka-ku, Yokohama 245–0051, Japan (Received April 21, 2006—Accepted June 12, 2006) We enriched a pentachlorobenzene (pentaCB)-dechlorinating microbial consortium from an estuarine-sedi- ment sample obtained from the mouth of the Arakawa River. The sediment was incubated together with a mix- ture of four electron donors and pentaCB, and after five months of incubation, the microbial community structure was analyzed. Both DGGE and clone library analyses showed that the most expansive phylogenetic group within the consortium was affiliated with the phylum Chloroflexi, which includes Dehalococcoides-like bacteria. PCR using a degenerate primer set targeting conserved regions in reductive-dehalogenase-homologous (rdh) genes from Dehalococcoides species revealed that DNA fragments (approximately 1.5–1.7 kb) of rdh genes were am- plified from genomic DNA of the consortium. The deduced amino acid sequences of the rdh genes shared sever- al characteristics of reductive dehalogenases.
    [Show full text]
  • (Batch Learning Self-Organizing Maps), to the Microbiome Analysis of Ticks
    Title A novel approach, based on BLSOMs (Batch Learning Self-Organizing Maps), to the microbiome analysis of ticks Nakao, Ryo; Abe, Takashi; Nijhof, Ard M; Yamamoto, Seigo; Jongejan, Frans; Ikemura, Toshimichi; Sugimoto, Author(s) Chihiro The ISME Journal, 7(5), 1003-1015 Citation https://doi.org/10.1038/ismej.2012.171 Issue Date 2013-03 Doc URL http://hdl.handle.net/2115/53167 Type article (author version) File Information ISME_Nakao.pdf Instructions for use Hokkaido University Collection of Scholarly and Academic Papers : HUSCAP A novel approach, based on BLSOMs (Batch Learning Self-Organizing Maps), to the microbiome analysis of ticks Ryo Nakao1,a, Takashi Abe2,3,a, Ard M. Nijhof4, Seigo Yamamoto5, Frans Jongejan6,7, Toshimichi Ikemura2, Chihiro Sugimoto1 1Division of Collaboration and Education, Research Center for Zoonosis Control, Hokkaido University, Kita-20, Nishi-10, Kita-ku, Sapporo, Hokkaido 001-0020, Japan 2Nagahama Institute of Bio-Science and Technology, Nagahama, Shiga 526-0829, Japan 3Graduate School of Science & Technology, Niigata University, 8050, Igarashi 2-no-cho, Nishi- ku, Niigata 950-2181, Japan 4Institute for Parasitology and Tropical Veterinary Medicine, Freie Universität Berlin, Königsweg 67, 14163 Berlin, Germany 5Miyazaki Prefectural Institute for Public Health and Environment, 2-3-2 Gakuen Kibanadai Nishi, Miyazaki 889-2155, Japan 6Utrecht Centre for Tick-borne Diseases (UCTD), Department of Infectious Diseases and Immunology, Faculty of Veterinary Medicine, Utrecht University, Yalelaan 1, 3584 CL Utrecht, The Netherlands 7Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Private Bag X04, 0110 Onderstepoort, South Africa aThese authors contributed equally to this work. Keywords: BLSOMs/emerging diseases/metagenomics/microbiomes/symbionts/ticks Running title: Tick microbiomes revealed by BLSOMs Subject category: Microbe-microbe and microbe-host interactions Abstract Ticks transmit a variety of viral, bacterial and protozoal pathogens, which are often zoonotic.
    [Show full text]
  • Downloaded 13 April 2017); Using Diamond
    bioRxiv preprint doi: https://doi.org/10.1101/347021; this version posted June 14, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 2 3 4 5 Re-evaluating the salty divide: phylogenetic specificity of 6 transitions between marine and freshwater systems 7 8 9 10 Sara F. Pavera, Daniel J. Muratorea, Ryan J. Newtonb, Maureen L. Colemana# 11 a 12 Department of the Geophysical Sciences, University of Chicago, Chicago, Illinois, USA 13 b School of Freshwater Sciences, University of Wisconsin Milwaukee, Milwaukee, Wisconsin, USA 14 15 Running title: Marine-freshwater phylogenetic specificity 16 17 #Address correspondence to Maureen Coleman, [email protected] 18 bioRxiv preprint doi: https://doi.org/10.1101/347021; this version posted June 14, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 19 Abstract 20 Marine and freshwater microbial communities are phylogenetically distinct and transitions 21 between habitat types are thought to be infrequent. We compared the phylogenetic diversity of 22 marine and freshwater microorganisms and identified specific lineages exhibiting notably high or 23 low similarity between marine and freshwater ecosystems using a meta-analysis of 16S rRNA 24 gene tag-sequencing datasets. As expected, marine and freshwater microbial communities 25 differed in the relative abundance of major phyla and contained habitat-specific lineages; at the 26 same time, however, many shared taxa were observed in both environments. 27 Betaproteobacteria and Alphaproteobacteria sequences had the highest similarity between 28 marine and freshwater sample pairs.
    [Show full text]
  • E. Coli: Serotypes Other Than O157:H7 Prepared by Zuber Mulla, BA, MSPH DOH, Regional Epidemiologist
    E. coli: Serotypes other than O157:H7 Prepared by Zuber Mulla, BA, MSPH DOH, Regional Epidemiologist Escherichia coli (E. coli) is the predominant nonpathogenic facultative flora of the human intestine [1]. However, several strains of E. coli have developed the ability to cause disease in humans. Strains of E. coli that cause gastroenteritis in humans can be grouped into six categories: enteroaggregative (EAEC), enterohemorrhagic (EHEC), enteroinvasive (EIEC), enteropathogenic (EPEC), enterotoxigenic (ETEC), and diffuse adherent (DAEC). Pathogenic E. coli are serotyped on the basis of their O (somatic), H (flagellar), and K (capsular) surface antigen profiles [1]. Each of the six categories listed above has a different pathogenesis and comprises a different set of O:H serotypes [2]. In Florida, gastrointestinal illness caused by E. coli is reportable in two categories: E. coli O157:H7 or E. coli, other. In 1997, 52 cases of E. coli O157:H7 and seven cases of E. coli, other (known serotype), were reported to the Florida Department of Health [3]. Enteroaggregative E. coli (EAEC) - EAEC has been associated with persistent diarrhea (>14 days), especially in developing countries [1]. The diarrhea is usually watery, secretory and not accompanied by fever or vomiting [1]. The incubation period has been estimated to be 20 to 48 hours [2]. Enterohemorrhagic E. coli (EHEC) - While the main EHEC serotype is E. coli O157:H7 (see July 24, 1998, issue of the “Epi Update”), other serotypes such as O111:H8 and O104:H21 are diarrheogenic in humans [2]. EHEC excrete potent toxins called verotoxins or Shiga toxins (so called because of their close resemblance to the Shiga toxin of Shigella dysenteriae 1This group of organisms is often referred to as Shiga toxin-producing E.
    [Show full text]
  • Escherichia Coli
    log bio y: O ro p c e i n M A l c Clinical Microbiology: Open a c c i e n s i l s Delmas et al., Clin Microbiol 2015, 4:2 C Access ISSN: 2327-5073 DOI:10.4172/2327-5073.1000195 Commentary Open Access Escherichia coli: The Good, the Bad and the Ugly Julien Delmas*, Guillaume Dalmasso and Richard Bonnet Microbes, Intestine, Inflammation and Host Susceptibility, INSERM U1071, INRA USC2018, Université Clermont Auvergne, Clermont-Ferrand, France *Corresponding author: Julien Delmas, Microbes, Intestine, Inflammation and Host Susceptibility, INSERM U1071, INRA USC2018, Université Clermont Auvergne, Clermont-Ferrand, France, Tel: +334731779; E-mail; [email protected] Received date: March 11, 2015, Accepted date: April 21, 2015, Published date: Aptil 28, 2015 Copyright: © 2015 Delmas J, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Abstract The species Escherichia coli comprises non-pathogenic commensal strains that form part of the normal flora of humans and virulent strains responsible for acute infections inside and outside the intestine. In addition to these pathotypes, various strains of E. coli are suspected of promoting the development or exacerbation of chronic diseases of the intestine such as Crohn’s disease and colorectal cancer. Description replicate within both intestinal epithelial cells and macrophages. These properties were used to define a new pathotype of E. coli designated Escherichia coli is a non-sporeforming, facultatively anaerobic adherent-invasive E.
    [Show full text]
  • Table S4. Phylogenetic Distribution of Bacterial and Archaea Genomes in Groups A, B, C, D, and X
    Table S4. Phylogenetic distribution of bacterial and archaea genomes in groups A, B, C, D, and X. Group A a: Total number of genomes in the taxon b: Number of group A genomes in the taxon c: Percentage of group A genomes in the taxon a b c cellular organisms 5007 2974 59.4 |__ Bacteria 4769 2935 61.5 | |__ Proteobacteria 1854 1570 84.7 | | |__ Gammaproteobacteria 711 631 88.7 | | | |__ Enterobacterales 112 97 86.6 | | | | |__ Enterobacteriaceae 41 32 78.0 | | | | | |__ unclassified Enterobacteriaceae 13 7 53.8 | | | | |__ Erwiniaceae 30 28 93.3 | | | | | |__ Erwinia 10 10 100.0 | | | | | |__ Buchnera 8 8 100.0 | | | | | | |__ Buchnera aphidicola 8 8 100.0 | | | | | |__ Pantoea 8 8 100.0 | | | | |__ Yersiniaceae 14 14 100.0 | | | | | |__ Serratia 8 8 100.0 | | | | |__ Morganellaceae 13 10 76.9 | | | | |__ Pectobacteriaceae 8 8 100.0 | | | |__ Alteromonadales 94 94 100.0 | | | | |__ Alteromonadaceae 34 34 100.0 | | | | | |__ Marinobacter 12 12 100.0 | | | | |__ Shewanellaceae 17 17 100.0 | | | | | |__ Shewanella 17 17 100.0 | | | | |__ Pseudoalteromonadaceae 16 16 100.0 | | | | | |__ Pseudoalteromonas 15 15 100.0 | | | | |__ Idiomarinaceae 9 9 100.0 | | | | | |__ Idiomarina 9 9 100.0 | | | | |__ Colwelliaceae 6 6 100.0 | | | |__ Pseudomonadales 81 81 100.0 | | | | |__ Moraxellaceae 41 41 100.0 | | | | | |__ Acinetobacter 25 25 100.0 | | | | | |__ Psychrobacter 8 8 100.0 | | | | | |__ Moraxella 6 6 100.0 | | | | |__ Pseudomonadaceae 40 40 100.0 | | | | | |__ Pseudomonas 38 38 100.0 | | | |__ Oceanospirillales 73 72 98.6 | | | | |__ Oceanospirillaceae
    [Show full text]
  • Yu-Chen Ling and John W. Moreau
    Microbial Distribution and Activity in a Coastal Acid Sulfate Soil System Introduction: Bioremediation in Yu-Chen Ling and John W. Moreau coastal acid sulfate soil systems Method A Coastal acid sulfate soil (CASS) systems were School of Earth Sciences, University of Melbourne, Melbourne, VIC 3010, Australia formed when people drained the coastal area Microbial distribution controlled by environmental parameters Microbial activity showed two patterns exposing the soil to the air. Drainage makes iron Microbial structures can be grouped into three zones based on the highest similarity between samples (Fig. 4). Abundant populations, such as Deltaproteobacteria, kept constant activity across tidal cycling, whereas rare sulfides oxidize and release acidity to the These three zones were consistent with their geological background (Fig. 5). Zone 1: Organic horizon, had the populations changed activity response to environmental variations. Activity = cDNA/DNA environment, low pH pore water further dissolved lowest pH value. Zone 2: surface tidal zone, was influenced the most by tidal activity. Zone 3: Sulfuric zone, Abundant populations: the heavy metals. The acidity and toxic metals then Method A Deltaproteobacteria Deltaproteobacteria this area got neutralized the most. contaminate coastal and nearby ecosystems and Method B 1.5 cause environmental problems, such as fish kills, 1.5 decreased rice yields, release of greenhouse gases, Chloroflexi and construction damage. In Australia, there is Gammaproteobacteria Gammaproteobacteria about a $10 billion “legacy” from acid sulfate soils, Chloroflexi even though Australia is only occupied by around 1.0 1.0 Cyanobacteria,@ Acidobacteria Acidobacteria Alphaproteobacteria 18% of the global acid sulfate soils. Chloroplast Zetaproteobacteria Rare populations: Alphaproteobacteria Method A log(RNA(%)+1) Zetaproteobacteria log(RNA(%)+1) Method C Method B 0.5 0.5 Cyanobacteria,@ Bacteroidetes Chloroplast Firmicutes Firmicutes Bacteroidetes Planctomycetes Planctomycetes Ac8nobacteria Fig.
    [Show full text]
  • Characterization of Environmental and Cultivable Antibiotic- Resistant Microbial Communities Associated with Wastewater Treatment
    antibiotics Article Characterization of Environmental and Cultivable Antibiotic- Resistant Microbial Communities Associated with Wastewater Treatment Alicia Sorgen 1, James Johnson 2, Kevin Lambirth 2, Sandra M. Clinton 3 , Molly Redmond 1 , Anthony Fodor 2 and Cynthia Gibas 2,* 1 Department of Biological Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA; [email protected] (A.S.); [email protected] (M.R.) 2 Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC 28223, USA; [email protected] (J.J.); [email protected] (K.L.); [email protected] (A.F.) 3 Department of Geography & Earth Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223, USA; [email protected] * Correspondence: [email protected]; Tel.: +1-704-687-8378 Abstract: Bacterial resistance to antibiotics is a growing global concern, threatening human and environmental health, particularly among urban populations. Wastewater treatment plants (WWTPs) are thought to be “hotspots” for antibiotic resistance dissemination. The conditions of WWTPs, in conjunction with the persistence of commonly used antibiotics, may favor the selection and transfer of resistance genes among bacterial populations. WWTPs provide an important ecological niche to examine the spread of antibiotic resistance. We used heterotrophic plate count methods to identify Citation: Sorgen, A.; Johnson, J.; phenotypically resistant cultivable portions of these bacterial communities and characterized the Lambirth, K.; Clinton,
    [Show full text]
  • 1471-2164-13-670.Pdf
    Hobley et al. BMC Genomics 2012, 13:670 http://www.biomedcentral.com/1471-2164/13/670 RESEARCH ARTICLE Open Access Genome analysis of a simultaneously predatory and prey-independent, novel Bdellovibrio bacteriovorus from the River Tiber, supports in silico predictions of both ancient and recent lateral gene transfer from diverse bacteria Laura Hobley1,3, Thomas R Lerner1,4, Laura E Williams2, Carey Lambert1, Rob Till1, David S Milner1, Sarah M Basford1, Michael J Capeness1, Andrew K Fenton1,5, Robert J Atterbury1,6, Maximilian ATS Harris1 and R Elizabeth Sockett1* Abstract Background: Evolution equipped Bdellovibrio bacteriovorus predatory bacteria to invade other bacteria, digesting and replicating, sealed within them thus preventing nutrient-sharing with organisms in the surrounding environment. Bdellovibrio were previously described as “obligate predators” because only by mutations, often in gene bd0108, are 1 in ~1x107 of predatory lab strains of Bdellovibrio converted to prey-independent growth. A previous genomic analysis of B. bacteriovorus strain HD100 suggested that predatory consumption of prey DNA by lytic enzymes made Bdellovibrio less likely than other bacteria to acquire DNA by lateral gene transfer (LGT). However the Doolittle and Pan groups predicted, in silico, both ancient and recent lateral gene transfer into the B. bacteriovorus HD100 genome. Results: To test these predictions, we isolated a predatory bacterium from the River Tiber- a good potential source of LGT as it is rich in diverse bacteria and organic pollutants- by enrichment culturing with E. coli prey cells. The isolate was identified as B. bacteriovorus and named as strain Tiberius. Unusually, this Tiberius strain showed simultaneous prey-independent growth on organic nutrients and predatory growth on live prey.
    [Show full text]
  • Being Aquifex Aeolicus: Untangling a Hyperthermophile's Checkered Past
    GBE Being Aquifex aeolicus: Untangling a Hyperthermophile’s Checkered Past Robert J.M. Eveleigh1,2, Conor J. Meehan1,2,JohnM.Archibald1, and Robert G. Beiko2,* 1Department of Biochemistry and Molecular Biology, Dalhousie University, Halifax, Nova Scotia, Canada 2Faculty of Computer Science, Dalhousie University, Halifax, Nova Scotia, Canada *Corresponding author: E-mail: [email protected]. Accepted: November 22, 2013 Abstract Lateral gene transfer (LGT) is an important factor contributing to the evolution of prokaryotic genomes. The Aquificae are a hyper- thermophilic bacterial group whose genes show affiliations to many other lineages, including the hyperthermophilic Thermotogae, the Proteobacteria, and the Archaea. Previous phylogenomic analyses focused on Aquifex aeolicus identified Thermotogae and Downloaded from Aquificae either as successive early branches or sisters in a rooted bacterial phylogeny, but many phylogenies and cellular traits have suggested a stronger affiliation with the Epsilonproteobacteria. Different scenarios for the evolution of the Aquificae yield different phylogenetic predictions. Here, we outline these scenarios and consider the fit of the available data, including three sequenced Aquificae genomes, to different sets of predictions. Evidence from phylogenetic profiles and trees suggests that the Epsilonproteobacteria have the strongest affinities with the three Aquificae analyzed. However, this pattern is shown by only a http://gbe.oxfordjournals.org/ minority of encoded proteins, and the Archaea, many lineages of thermophilic bacteria, and members of genus Clostridium and class Deltaproteobacteria also show strong connections to the Aquificae. The phylogenetic affiliations of different functional subsystems showed strong biases: Most but not all genes implicated in the core translational apparatus tended to group Aquificae with Thermotogae, whereas a wide range of metabolic and cellular processes strongly supported the link between Aquificae and Epsilonproteobacteria.
    [Show full text]
  • Exploration of Tick-Borne Pathogens and Microbiota of Dog Ticks Collected at Potchefstroom Animal Welfare Society
    Exploration of tick-borne pathogens and microbiota of dog ticks collected at Potchefstroom Animal Welfare Society C Van Wyk orcid.org 0000-0002-5971-4396 Dissertation submitted in fulfilment of the requirements for the degree Master of Science in Environmental Sciences at the North-West University Supervisor: Prof MMO Thekisoe Co-supervisor: Ms K Mtshali Graduation May 2019 24263524 DEDICATION This thesis is dedicated to the late Nettie Coetzee. For her inspiration and lessons to overcome any obstacle that life may present. God called home another angel we all love and miss you. “We are the scientists, trying to make sense of the stars inside us.” -Christopher Poindexter i ACKNOWLEDGEMENTS My sincerest appreciation goes out to my supervisor, Prof. Oriel M.M. Thekisoe, for his support, motivation, guidance, and insightfulness during the duration of this project and been there every step of the way. I would also like to thank my co-supervisor, Ms. Khethiwe Mtshali, for her patience and insightfulness towards the corrections of this thesis. I would like to thank Dr. Stalone Terera and the staff members at PAWS for their aid towards the collection of tick specimens. For the sequencing on the Illumina MiSeq platform and metagenomic data analysis I would like to thank Dr. Moeti O. Taioe, Dr. Charlotte M.S. Mienie, Dr. Danie C. La Grange, and Dr. Marlin J. Mert. I would like to thank the National Research Foundation (NRF) for their financial support by awarding me the S&F- Innovation Masters Scholarship and the North-West University (NWU) for the use of their laboratories.
    [Show full text]
  • Shigella and Escherichia Coli at the Crossroads: Machiavellian Masqueraders Or Taxonomic Treachery?
    J. Med. Microbiol. Ð Vol. 49 2000), 583±585 # 2000 The Pathological Society of Great Britain and Ireland ISSN 0022-2615 EDITORIAL Shigella and Escherichia coli at the crossroads: machiavellian masqueraders or taxonomic treachery? Shigellae cause an estimated 150 million cases and genera. One authority has even proposed that entero- 600 000 deaths annually, and can cause disease after haemorrhagic E. coli EHEC) such as E. coli O157:H7 ingestion of as few as 10 bacterial cells [1]. They are are essentially `Shigella in a cloak of E. coli antigens' spread by the faecal±oral route, with food, water, [7]. fomites, insects especially ¯ies) and direct person-to- person contact. S. dysenteriae causes brisk and deadly Shigella-like strains of E. coli that cause an invasive, epidemics, particularly in the developing world; S. dysenteric diarrhoeal illness were ®rst described in ¯exneri and S. sonnei account for the endemic form of 1971, over a decade before the appearance in 1982 of the disease, particularly in industrialised nations; S. the new EHEC strains that launched the current wave boydii is rarely encountered [1, 2]. of interest in the E. coli±Shigella connection [8]. Termed `enteroinvasive E. coli' EIEC), these strains, Shigellosis is a locally invasive colitis in which bacteria like shigellae, were able to invade and proliferate invade and proliferate within colonocytes and mucosal within intestinal epithelial cells, eventually causing cell macrophages, trigger apoptosis of macrophages and death [4, 8]. EIEC share with shigellae a c. 140-MDa spread through the mucosa from cell to cell [1]. plasmid pINV) that encodes several outer-membrane Cytokines produced by epithelial cells and macro- proteins involved in invasion of host cells [4, 8].
    [Show full text]