Iron- and Temperature-Dependent Regulation of Shigella Dysenteriae Virulence-
Associated Factors
A dissertation presented to
the faculty of
the College of Arts and Sciences of Ohio University
In partial fulfillment
of the requirements for the degree
Doctor of Philosophy
Yahan Wei
December 2016
© 2016 Yahan Wei. All Rights Reserved.
2
This dissertation titled
Iron- and Temperature-Dependent Regulation of Shigella Dysenteriae Virulence-
Associated Factors
by
YAHAN WEI
has been approved for
the Department of Biological Sciences
and the College of Arts and Sciences by
Erin R. Murphy
Associate Professor of Bacteriology
Robert Frank
Dean, College of Arts and Sciences 3
ABSTRACT
WEI, YAHAN, Ph.D., December 2016, Biological Sciences
Iron- and Temperature-Dependent Regulation of Shigella Dysenteriae Virulence-
Associated Factors
Director of Dissertation: Erin R. Murphy
Shigella is a genus of Gram-negative pathogenic bacteria that causes shigellosis, a severe form of bacillary dysentery in human with an infectious dose of less than 100 cells. The global burden of shigellosis is estimated to be no less than 125 million infections, with the majority of both infection and resulting deaths occurring in children under the age of five. These facts, in combination with the lack of a vaccine or universally effective treatment makes understanding the molecular mechanisms underlying the pathophysiology of Shigella of utmost importance. To survive and successfully colonize in the host, bacterial pathogens regulate the expression of multiple virulence-associated factors in response to the changes of environmental cues. This study focused on two of the important virulence-associated processes in the infections of S. dysenteriae, the most virulent species in the genus of Shigella: 1) acquisition of essential nutritional iron via the Shigella heme uptake (Shu) system from the iron-limited environment within the human host, and 2) secretion of effector proteins required for the invasion processes through the type III secretion system (T3SS). Investigations presented here identify the host-associated environmental factors that regulate the expression of the specific factors required to complete the processes listed above, and characterize the molecular mechanisms underlying each regulation. Specifically, studies focused on the 4 regulation of the Shu system demonstrate that its periplasmic binding component, ShuT, is subject to iron-dependent transcriptional regulation via the activity of the global transcriptional regulator Fur, and temperature-dependent post-transcriptionally mediated by an RNA thermometer located within the 5' untranslated region of the gene. Studies focused on the regulation of MxiG, a component of the T3SS, identify and characterize a functional RNA thermometer that mediates post-transcriptional temperature-dependent regulation. Findings in this study provide: 1) a unique example of Fur-mediated regulation via interacting with a sequence located downstream of the promoter region, and 1) the first evidence of RNA thermometer controlling expression of T3SS component. These findings could lead to revealing of further details about the molecular mechanisms of each regulatory system, and also contribute to the knowledge pool required in designing new strategies of defending against bacterial infections. 5
DEDICATION
I would like to dedicate this work to my mother, for her love and support
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ACKNOWLEDGMENTS
I would like to acknowledge all the people and institutions for their support throughout my graduate career and numerous contributions to this work. Firstly, I want to express my sincere gratitude to my advisor Erin R. Murphy, who have been really patient, motivating, and continuously supporting me and guiding me through the project.
I would also like to thank my committee members, Peter Coschigano, Jennifer Hines,
Donald Holzschu, and Tomohiko Sugiyama, for their insightful comments and encouragement. My thanks also go to my lab mate Megan Firs, our lab technician
Michelle Pate, and former lab members Andrew Kouse and William Broach. Finally, I would like to thank Ohio University and the American Heart Association for their financial support.
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TABLE OF CONTENTS
Page
Abstract ...... 3 Dedication ...... 5 Acknowledgments...... 6 List of Tables ...... 11 List of Figures ...... 12 Chapter 1: Introduction ...... 14 1.1 Significance ...... 14 1.2 Shigella ...... 16 1.2.1 Shigella species and evolutionary relationships ...... 16 1.2.2 Pathogenesis ...... 17 1.2.3 Shigella virulence factors ...... 19 1.3 Regulation of Shigella iron uptake systems ...... 21 1.3.1 Iron uptake systems in Shigella ...... 21 1.3.2 Regulation of iron uptakes systems ...... 29 1.4 Regulation of bacterial virulence-associated genes via RNA thermometers ...... 33 1.4.1 Families of RNA thermometers ...... 35 1.4.2 Bacteria virulence-associated genes regulated by RNA thermometer ...... 45 Chapter 2: Iron-dependent regulation of shuT ...... 49 2.1 Abstract ...... 49 2.2 Introduction ...... 49 2.2.1 Heme uptake system and bacterial pathogenesis ...... 49 2.2.2 Shigella heme uptake (Shu) system ...... 51 2.2.3 Transportation of heme via the Shu system ...... 52 2.2.4 Fur-mediated iron-dependent regulation of the Shu system...... 56 2.3 Methods and materials ...... 58 2.3.1 Strains and culture conditions ...... 58 2.3.2 Oligonucleotide primers ...... 60 2.3.3 Reporter plasmid construction ...... 61 8
2.3.4 RNA extraction and DNA removal ...... 62 2.3.5 Reverse transcriptase PCR ...... 64 2.3.6 Rapid amplification of cDNA 5' end analysis ...... 65 2.3.7 Beta-galactosidase assay ...... 66 2.3.8 Western blot analysis ...... 67 2.3.9 Quantitative Real-time PCR analysis ...... 68 2.3.10 Electrophoretic mobility shift assay ...... 69 2.3.11 In silico analyses ...... 71 2.3.12 Statistical analysis ...... 72 2.4 Results ...... 72 2.4.1 Fur mediates iron-dependent regulation of shuT ...... 72 2.4.2 Identification of shuT transcriptional start site ...... 74 2.4.3 Identification of shuT promoter region ...... 77 2.4.4 Sequences within shuT promoter and 5' untranslated region mediates iron- dependent regulation by Fur ...... 79 2.4.5 A functional Fur binding site is located immediately down-stream of the shuT transcription start site ...... 81 2.5 Discussion ...... 89 Chapter 3: Temperature-dependent regulation of shuT ...... 91 3.1 Abstract ...... 91 3.2 Introduction ...... 91 3.2.1 Temperature-dependent transcriptional regulation ...... 92 3.2.2 Temperature-dependent post-transcriptional regulation ...... 93 3.2.3 Temperature-dependent regulation of the Shu system ...... 94 3.3 Methods and Materials ...... 95 3.3.1 Strains and culture conditions ...... 95 3.3.2 Oligonucleotide primers ...... 96 3.3.3 Reporter plasmid construction ...... 97 3.3.4 RNA extraction and DNA removal ...... 98 3.3.5 Western blot analysis ...... 100 3.3.6 Quantitative Real-time PCR analysis ...... 101 3.3.7 Enzymatic RNA structure probing ...... 102 9
3.3.8 In silico analyses ...... 104 3.3.9 Statistical analysis ...... 104 3.4 Results ...... 104 3.4.1 Nucleic acid sequences within the shuT promoter and/or 5' UTR confer temperature-dependent post-transcriptional regulation ...... 104 3.4.2 Nucleic acid sequences composing the putative shuT RNA thermometer are sufficient to confer temperature-dependent post-transcriptional regulation ...... 108 3.4.3 A functional RNA thermometer is contained within the shuT 5' UTR ...... 109 3.4.4 Double-stranded structure containing the shuT ribosomal binding site gradually opens when environmental temperature increases ...... 112 3.4.5 Heme utilization in S. dysenteriae is regulated by environmental temperature ...... 114 3.5 Discussion ...... 116 Chapter 4: Other RNA thermometers in S. dysenteriae ...... 119 4.1 Abstract ...... 119 4.2 Introduction ...... 119 4.3 Methods and materials ...... 122 4.3.1 Strains and culture conditions ...... 122 4.3.2 Oligonucleotide primers ...... 124 4.3.3 Reporter plasmid construction ...... 125 4.3.4 RNA extraction and DNA removal ...... 125 4.3.5 Western blot analysis ...... 127 4.3.6 Quantitative Real-time PCR analysis ...... 128 4.3.7 In silico analyses ...... 129 4.3.8 Statistical analysis ...... 129 4.4 Results ...... 129 4.4.1 The ribosomal binding site of mxiG is predicted to be included in a hairpin resembling that of an RNA thermometer ...... 129 4.4.2 Stabilizing the inhibitory structure within the putative mxiG RNA thermometer abolishes translation of the reporter gene ...... 132 4.4.3 The 5' hairpin of mxiG RNA thermometer is required to confer temperature- dependent regulation ...... 134 4.4.4 In silico analysis identified an RNA thermometer-like structure incorporating the ribosomal binding site and start codon of gene shuX ...... 136 10
4.5 Discussion ...... 138 Chapter 5: Disscusion ...... 143 References ...... 147
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LIST OF TABLES
Page
Table 1: Summary of the iron uptake systems in Shigella and the regulatory factors ...... 22 Table 2: Summary of bacterial strains and plasmid vectors ...... 58 Table 3: Summary of oligonucleotide primers ...... 60 Table 4: Summary of bacterial strains and plasmid vectors ...... 96 Table 5: Summary of oligonucleotide primers ...... 97 Table 6: Summary of bacterial strains and plasmid vectors ...... 123 Table 7: Summary of oligonucleotide primers ...... 124 Table 8: Summary of the identified intergenic RNA thermometers ...... 140
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LIST OF FIGURES
Page
Figure 1: Cellular pathogenesis of Shigella...... 18 Figure 2: Iron uptake systems in Shigella...... 24 Figure 3: A schematic of the molecular mechanism of RNA thermometers...... 34 Figure 4: Structural features of the ROSE-like family of RNA thermometers...... 39 Figure 5: Structural features of the FourU family of RNA thermometers...... 41 Figure 6: Key virulence-associated processes controlled by RNA thermometers in bacteria...... 46 Figure 7: Schematic of the S. dysenteriae shu locus...... 52 Figure 8: Schematic of the Shu system...... 53 Figure 9: Schematic of Fur-mediated iron-dependent repression...... 57 Figure 10: shuT expression is regulated in response to iron by Fur...... 73 Figure 11: Identification of shuT transcriptional start site...... 75 Figure 12: Results of RNA sequencing and 5'-RACE analyses...... 77 Figure 13: Identification of shuT promoter...... 78 Figure 14: Sequences within shuT promoter and 5' untranslated region mediates iron- dependent regulation by Fur...... 80 Figure 15: A putative Fur-binding site is located immediately down-stream of the shuT transcription start site...... 82 Figure 16: Fur binds specifically to sequences within the shuT 5' UTR...... 86 Figure 17: Truncation of the Fur-binding site abolishes iron-dependent regulation...... 88 Figure 18: shuT is subject to temperature-dependent post-transcriptional regulation. ... 106 Figure 19: Predicted secondary structure of shuT 5' untranslated region...... 107 Figure 20: Sequences within shuT 5' untranslated region is enough to confer post- transcriptional temperature-dependent regulation...... 109 Figure 21: Destabilization of the putative shuT RNA thermometer abolishes translational inhibition at previously non-permissive temperature...... 111 Figure 22: The inhibitory hairpin within the shuT RNA thermometer gradually opens as environmental temperature increases...... 114 Figure 23: Heme utilization in S. dysenteriae is more efficient at higher environmental temperature...... 116 13
Figure 24: The ribosomal binding site of mxiG is incorporated within a functional putative RNA thermometer...... 131 Figure 25: Stabilizing mutations abolishes expression of the reporter gene at previous permissive temperature...... 134 Figure 26: The 5' hairpin of mxiG RNA thermometer is required to confer temperature- dependent regulation...... 136 Figure 27: Sequences including shuX ribosomal binding site and translational start codon forms a RNA thermometer-like structure...... 137 Figure 28: Model of shuT regulation in response to changes of iron-availability and environmental temperature...... 144
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CHAPTER 1: INTRODUCTION
1.1 Significance
Shigella is a genus of pathogenic enterobacteria composed of four species, S. boydii, S. sonnei, S. flexneri, and S. dysenteriae. Shigella species are the causative agents of shigellosis, a form of severe infectious bacillary dysentery in humans, with a very low infectious dose (10~100 cells) (DuPont et al., 1989). In the last century, it was estimated that approximately 164 million infectious and 1.1 million deaths were caused by Shigella infection annually and globally (Kotloff et al., 1999). In the past couple years, though the case number of shigellosis-related death decreased dramatically, the global burden of
Shigella infection still remains no less than 125 million infections annually, with the majority of both infections and deaths occurring in children under the age of five
(Bardhan et al., 2010).
Currently, S. flexneri accounts for approximately 80% of the global burden of shigellosis, especially in developing countries; while in developed countries, S. sonnei is the main cause of shigellosis (Gu et al., 2012). Of the four Shigella species, S. dysenteriae causes the fewest number of infections; however, it is the only species known to cause epidemic outbreaks, has the highest fatality rate following infection, and is associated with significant post-infection sequelae including Hemolytic Uremic
Syndrome and Reiter’s syndrome (Calin, 1979; Mark Taylor, 2008; Kotloff et al., 1999).
Following entry into the host via the fecal-oral route, a successful Shigella infection requires sequential invasion into colonic epithelial cells, intracellular replication, and cell-to-cell spread by the pathogen. Collectively, these processes result 15 directly in the formation of lesions within the colonic epithelium, leading to the disruption of water balance and the bloody diarrhea associated with Shigella infections
(Schroeder and Hilbi, 2008). In addition to the above cellular destruction, S. dysenteriae also produces and secrets Shiga toxin, a cytotoxic toxin that directly kills eukaryotic cells and can lead to severe organ failure in patients (Tesh and O’Brien, 1991).
The use of antibiotics to treat an infection with S. dysenteriae is contra-indicated after the first 24 hours of infection, as antibiotic treatment increases production and release of the Shiga toxin by the pathogen (Zimmerhackl, 2000). Moreover, Center for
Disease Control (CDC) records indicate the development and spreading of multidrug resistance in all four Shigella species over recent years (CDC, 2013). These facts in combination with the lack of a vaccine to prevent shigellosis make understanding the molecular mechanisms underlying the ability of Shigella species to infect the human host and cause disease of utmost importance. It is only after such an understanding is achieved that this information can be used to guide the development of novel therapeutics designed to disrupt specific virulence-associated processes, and by doing so, lessen or eliminate the ability of Shigella to cause human disease.
This study is focusing on understanding, at the molecular level, the regulatory mechanisms controlling the ability of S. dysenteriae to complete two of the important virulence-associated processes: 1) the utilization of heme-bound iron as a source of nutritional iron, and 2) the secretion of effector proteins via the type III secretion system
(T3SS). Specifically, host-associated environmental factors that regulate the expression of the specific factors required to complete the listed processes were determined, and the 16 molecular mechanisms underlying the regulation of each were identified. Findings of these studies contribute to the knowledge pool required in designing new strategies for defending against bacterial infections.
1.2 Shigella
1.2.1 Shigella species and evolutionary relationships
Shigella is a genus of Gram negative, non-motile, and non-sporulating pathogenic bacillary bacteria, firstly identified in 1897 by Kiyoshi Shiga (Shiga, 1897). The first
Shigella species to be identified as a causative agent of epidemic bacillary dysentery in human was S. dysenteriae, the other three species were discovered sequentially in the following decades (Schroeder and Hilbi, 2008). Characterization of the four Shigella species is based on the serotypes of cell surface O-antigen, which also serves as the classification criteria for further division of each species into different serovars.
Though different in some physiological characteristics, such as mannitol fermentation and lysine decarboxylation, Shigella shares more than 90% genomic similarity with Escherichia coli (Zhang and Lin, 2012). Phylogenetic analysis suggest that Shigella species evolved from several E. coli ancestors independently, with the acquisition of virulence genes via horizontal transfer and the loss of genes in order to adaptive to the intracellular pathogenic lifestyle (The et al., 2016). In Shigella, acquired virulence-associated genes exist on both the bacterial chromosome and a large virulence plasmid (Schroeder and Hilbi, 2008).
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1.2.2 Pathogenesis
Partially due to the horizontal transfer of virulence genes, Shigella shares several similarities with other bacterial pathogens, such as the fecal-oral route transmission,
T3SS-dependent invasion, and actin-based motility. However, Shigella infection is also unique in many aspects. For example, less than 100 cells of Shigella is sufficient to cause
Shigellosis in human (DuPont et al., 1989). As a comparison, other diarrhea-associated bacterial pathogens such as Salmonella and Vibrio cholera require the ingestion of at least 105 cells to establish infection (Blaser and Newman, 1982; Cash et al., 1974). The low infectious dose of Shigella is partially due to its ability to resist the low pH encountered in the human stomach and to down-regulate the production of antimicrobial factors within host cells (Gorden and Small, 1993; Islam et al., 2001).
Shigella invasion is initiated when the bacteria cell is engulfed by a microfold cell
(M cell) located within the large intestine epithelium (Figure 1). M cells are part of the mucosal innate immune system and constantly sample materials within the intestine lumen via phagocytosis and presenting antigens to macrophages contained within an intracellular pocket. Once engulfed by a macrophage, Shigella species induce apoptosis of the macrophage releasing the pathogen to the basolateral side of the colonic epithelium
(Schroeder and Hilbi, 2008).
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Figure 1. Cellular pathogenesis of Shigella. Shigella cells initially invade (①) through microfold cell (M cell) and is transcytosed across the colonic epithelium and presented to a macrophage. Followed by induced apoptosis of the macrophage, bacteria invade into the epithelial cells from the basolateral side, and penetrated adjacent cells through actin- based movement. In addition, inflammation attrackes neutrophils, which lead to the disintegration of the tight junctions between epithelial cells, porviding Shigella an alternative way (②) to arrive at the basolateral side of the epithelium.
With the production of T3SS, Shigella adheres to the cholesterol-rich membrane rafts of the epithelial cell (Lafont et al., 2002). Effector proteins are secreted into the eukaryotic cell that function to remodel the eukaryotic actin cytoskeleton, which eventually leads to the internalization of Shigella by the epithelial cell. Cytoskeleton remodeling also prevents the vacuole containing Shigella from entering the lysosomal degradation pathway. After escaping from the vacuole, a process dependent upon the
T3SS, Shigella multiplies within the eukaryotic cell cytoplasm and penetrates adjacent cells via actin-based movement. Additionally, Shigella actively simulates the migration of neutrophils to the infected area, which further destroys the epithelial lining and 19 provides the pathogens with increased access to the basolateral side of epithelium without the help of M cells (Figure 1). (Schroeder and Hilbi, 2008)
1.2.3 Shigella virulence factors
During transmission and throughout the course of a natural infection, Shigella experience varied environmental conditions. Changes of environmental cues trigger expression of genes needed for Shigella to survive in the human body and to establish infections. Such virulence-associated genes encode the virulence factors of Shigella are located on both the chromosome and a large virulence plasmid, and vary between the four Shigella species (Schroeder and Hilbi, 2008). Generally, chromosomally encoded virulence-associated genes include those encoding toxins as well those whose protein products are involved in nutrient acquisition, antibiotic resistance, and evasion of the host immune response. Genes encoded on the virulence plasmid, on the other hand, are mainly involved in cell invasion and cell-to-cell spread.
The large virulence plasmid is carried by all Shigella species, range in size from
210~220kb, and contains a mosaic of approximately 100 genes (Buchrieser et al., 2000;
Jiang et al., 2005; Yang et al., 2005). Though the virulence plasmids are different within the four Shigella species, they share a 31kb conserved entry-region, containing more than
30 genes that are essential for Shigella to escape from macrophage and invade into epithelial cells (Sasakawa et al., 1988; Maurelli et al., 1985). The main part of this entry- region contains 20 mxi-spa genes that encode the structural components of the T3SS
(Buchrieser et al., 2000). Several effector proteins that are necessary for host cell 20 invasion and intracellular survival are also located within this region (Schroeder and
Hilbi, 2008). In addition, two transcriptional activators, VirB and MxiE, are encoded within the entry-region and function as the master regulators of multiple virulence genes
(Le Gall et al., 2005; Buchrieser et al., 2000). Additional T3SS effector proteins are encoded on the large virulence plasmid outside the entry-region (Killackey et al., 2016;
Buchrieser et al., 2000).
Expression of Shigella virulence-associated genes is tightly regulated in response to multiple environmental factors, such as temperature, pH, osmolality, and oxygen levels
(Nakayama and Watanabe, 1995; Kouse et al., 2013; Prosseda et al., 2004; Payne et al.,
2006). In addition, secretion of effector proteins requires direct contact of the T3SS apparatus with the membrane of an epithelial cell, a process possibly mediated by the presence of oxygen immediately adjacent to the epithelial membrane (Watarai et al.,
1995). Such multi-factored environmentally influenced regulation ensures the expression of essential virulence factors during each step of invasion, and also prevents the potential detrimental effects of producing these factor under non-favored conditions. It has been shown that the expression of virulence factors negatively affects cell growth. In addition, when a bacterium transits from the extracellular to the intracellular environment, the metabolic pathways utilized also switch. Without this switch, the expression of some virulence genes is inhibited. Since regulation by host-associated environmental factors is important for Shigella pathogenesis, understanding these mechanisms could advance the development of novel targets for effective treatments.
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1.3 Regulation of Shigella iron uptake systems
1.3.1 Iron uptake systems in Shigella
The survival of Shigella, and thus its ability to cause disease, is strictly dependent on the ability of the organism to acquire essential nutrients, such as iron, from each encountered environment. The strict requirement of iron stems from the fact that this element is an essential co-factor of several enzymes involved in basic biological processes such as DNA replication and respiration. While iron is essential, too much of this element is toxic to a bacterium (Imlay et al., 1988). To balance the necessity and toxicity of the element, iron homeostasis must be precisely maintained, a requirement that is facilitated, at least in part, by regulation of bacterial iron-acquisition systems.
As an innate immune defense against invading pathogens, iron within the human body is sequestrated within iron binding compounds and proteins, generating a concentration of bioavailable iron of approximately 10-24M, a concentration that is far below the 10-7M required for the survival of most bacteria (Raymond et al., 2003;
Andrews et al., 2003). In response to this iron limitation, pathogenic bacteria have evolved several systems to utilize the various sources of iron present within the infected host. Regulating the production of these specific iron acquisition systems in response to environmental conditions allows the bacterium to most efficiently utilize host-associated forms of iron while avoiding iron-mediated toxicity.
The currently identified Shigella iron uptake systems can be grouped into three broad categories based on the form of iron that is being utilized; 1) systems for the utilization of ferric iron (Fe3+), 2) systems for the utilization of heme-bound iron, and 3) 22 systems for the utilization of ferrous iron (Fe2+). Each of the four Shigella species contains multiple iron uptake systems, however, the composition of iron acquisition systems varies by species. Each identified Shigella iron uptake system as well as their distributions among Shigella species is presented below (Table 1). Information of this section has been published in (Wei and Murphy, 2016a) under CC BY 4.0 license.
Available from: http://dx.doi.org/10.3389/fcimb.2016.00018
Table 1
Summary of the iron uptake systems in Shigella and the regulatory factors Iron uptake Effects of identified regulatory Distribution in Shigella Substrates systems factors species S. sonnei, S. dysenteriae, Ent/Fep Fe (↓) S. boydii*, S. flexneri* Iro Fe (↓) S. dysenteriae Fe (↓), O2 (↑), RyhB (↑) in E. S. sonnei, S. boydii, Fe3+ Iuc/Iut coli S. flexneri Fec Fe (↓), ECF (↑) S. sonnei, S. flexneri S. sonnei, S. dysenteriae, Fhu Fe (↓), O2 (↑) S. boydii, S. flexneri Heme Shu Fe (↓), High temperature (↑) S. dysenteriae, S. sonnei S. sonnei, S. dysenteriae, Feo Fe (↓), O2 (↓) S. boydii, S. flexneri S. sonnei, S. dysenteriae, Fe2+ Sit Fe (↓), O2 (↑) S. boydii, S. flexneri Efe Fe (↓), low pH (↑) S. sonnei * The biosynthetic system of enterobactin in S. boydii and S. flexneri is inactivated by the presence of a frameshift, a premature stop codon, and/ or an insertion within the coding genes; as a consequence, no detectable enterobactin is produced. © 2016 Wei Y, Murphy ER. Published in (Wei and Murphy, 2016a) under CC BY 4.0 license. Available from: http://dx.doi.org/10.3389/fcimb.2016.00018
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1.3.1.1 Ferric iron utilization systems
To utilize Fe3+, Shigella have evolved several systems to synthesize, secrete, and uptake siderophores, a group of compounds with very high iron-binding affinities and functionally compete for iron bound within host-associated iron-sequestrating factors
(Hider and Kong, 2010; Carrano and Raymond, 1979). In Shigella, the combination of siderophores that are synthesized and utilized varies by species, but the uptake process is partially conserved (Figure 2). Specifically, transportation of each Fe3+-siderophore into the bacterial cell is initiated by binding of the complex with a specific outer-membrane receptor. Once bound by its receptor, the complex is transported across the outer- membrane, passed to a periplasmic binding protein (PBP), and finally transported across the inner-membrane by the activity of an ABC permease complex. Transportation across a membrane requires energy. Anchored within the inner-membrane, the
TonB/ExbB/ExbD complex transduces the energy generated by the proton gradient via
TonB to a given iron-binding outer-membrane receptor to provide the energy required to transport the associated cargo across the outer-membrane (Larsen et al., 1997). ATP hydrolysis generates the energy needed for the subsequent crossing of the iron-containing cargo across the inner-membrane. Compared to the outer-membrane receptors, PBPs have lower substrate specificity, thus one PBP can facilitate the transportation of multiple siderophores with similar chemical structures (Miethke and Marahiel, 2007). Once inside the bacterial cell, iron is either released from the siderophore for utilization, or bound within storage proteins for future use. Each identified siderophore and its transportation system in Shigella are discussed below. 24
Figure 2. Iron uptake systems in Shigella. This figure is a schematic of the Shigella iron uptake systems, which have been categorized into three broad groups based on the form of iron or iron-containing compounds that are being utilized. These three groups are 1) systems that transport ferrous iron (Fe2+), systems for the utilization of ferric iron (Fe3+), and systems for the uptake of heme (Heme). © 2016 Wei Y, Murphy ER. Published in (Wei and Murphy, 2016a) under CC BY 4.0 license. Available from: http://dx.doi.org/10.3389/fcimb.2016.00018
Enterobactin: Discovered in 1970, enterobactin is the siderophore with the highest known affinity for Fe3+ (~1049) (O’Brien, I et al., 1970; Pollack and Neilands, 1970;
Loomis and Raymond, 1991). Genes involved in the synthesis, secretion, and utilization of enterobactin are encoded in a single locus, with the ent genes encoding factors involved in the synthesis and secretion of the siderophore, and the fep genes encoding the uptake system (Laird et al., 1980). Specifically, fepA encodes a TonB-dependent outer- membrane receptor, fepB encodes a PBP, and fepCDG encode proteins composing the
ABC permease complex (Ozenberger et al., 1987). All four Shigella species contain the ent/fep locus, however some of these genes are inactivated in S. boydii as well as in some 25 strains of S. flexneri due to the presence of a frameshift, a premature stop codon, and/or an insertion (Payne, 1980; Payne et al., 1983). Due to its high iron-binding affinity, enterobactin can chelate iron from host iron-binding factors (Carrano and Raymond,
1979). For example, a recent study shows that enterobactin can overcome the sequestration of iron by ATP in the intracellular environment, and as such would promote survival of the pathogen within a macrophage (Tatano et al., 2015). However, in the extracellular environment, bacterial infection induces host cells to produce and secrete lipocalin-2, a protein that specifically binds enterobactin, thus preventing the bacterium from utilizing the iron within (Flo et al., 2004).
Salmochelin: Due to their different chemical structures, some enterobactin derivatives are not recognized by lipocalin-2, and have been found to be important in bacterial virulence. One such enterobactin derivative is salmochelin, a siderophore produced by S. dysenteriae (Fischbach et al., 2006; Wyckoff et al., 2009). The iro locus contains genes encoding enzymes that modify enterobactin into salmochelin, a secretion transporter, and a salmochelin specific TonB-dependent outer-membrane receptor (IroN)
(Hantke et al., 2003). Other factors involved in salmochelin utilization, including the PBP and the ABC transporter, are the same as those used for enterobactin (Müller et al.,
2009).
Aerobactin: Some strains of S. flexneri, S. boydii, and S. sonnei produce aerobactin, a siderophore that has a different chemical structure from that of enterobactin; and as a result, can also escape the sequestration by host protein lipocalin-2 (Lawlor and
Payne, 1984; Flo et al., 2004). Aerobactin has been shown to promote the virulence of 26 uropathogenic E. coli; and in Shigella, production of aerobactin has been shown to facilitate the extracellular growth of the bacteria (Torres et al., 2001; de Lorenzo and
Martinez, 1988). iucABCD encode the enzymes required for the bio-synthesis of aerobactin are located in a single locus along with iutA, a gene encoding the aerobactin- specific TonB-dependent outer-membrane receptor (Carbonetti and Williams, 1984). The remaining factors required for the utilization of aerobactin are encoded within the fhu locus, and thus are the same as those utilized for the transportation of ferrichrome (Koster and Braun, 1990).
Xenosiderophores: Like many other bacterial species Shigella can utilize xenosiderophores, siderophores produced by other microorganisms (Payne, 1980). For example, ferrichrome, a fungal siderophore with a chemical structure similar to that of aerobactin is utilized by Shigella species via the Fhu system. fhuA encodes the ferrichrome-specific TonB-dependent outer-membrane receptor (Miethke and Marahiel,
2007; Koster and Braun, 1990).
Ferric-dicitrate: Ferric iron can also bind with citrate to form ferric-dicitrate. S. sonnei and one strain of S. flexneri have been shown to be able to utilize ferric-dicitrate as a source of nutrient iron using the Fec system (Luck et al., 2001; Wyckoff et al., 2009).
The ferric-dicitrate utilization system is encoded by genes within the fec locus, with fecA encoding the outer-membrane receptor, fecB encoding the PBP, and fecCDE encoding proteins composing the ABC transporter complex (Braun and Mahren, 2005).
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1.3.1.2 Heme utilization system
The Shigella heme-uptake (Shu) system was identified in S. dysenteriae and is predicted to be present in some strains of S. sonnei (Wyckoff et al., 1998). A mutation of shuA, the outer-membrane heme receptor, eliminates the ability of S. dysenteriae to utilize heme as the sole iron source, suggesting that the Shu system is the only functional heme-utilization system in this species (Mills and Payne, 1997). In uropathogenic E. coli, inactivation of the orthologous gene chuA results in attenuation of virulence, a finding that directly implements the heme receptor as a virulence factor in this closely related species (Torres et al., 2001). Additional components of the Shu system including a PBP
(ShuT) and an inner-membrane ABC permease complex (ShuUV) (Wyckoff et al., 1998;
Eakanunkul et al., 2005; Burkhard and Wilks, 2008). The overall transportation processes are similar to those detailed above for siderophore utilization. Interestingly, the fact that
Shigella species that do not encode shu genes are able to utilize heme as a sole source of nutrient iron suggests the existence of yet unidentified heme-utilization system(s) in these bacteria (Payne et al., 2006).
1.3.1.3 Ferrous iron utilization systems
Under anaerobic and/ or acidic conditions, Fe2+ is the dominant form of bioavailable iron. The ability of a bacterium to utilize Fe2+ is important in several host- associated environments including that encountered within the anaerobic environment of the human colon. Three Fe2+-uptake systems have been identified in Shigella: the Feo 28 system, the Sit system, and the Efe system (Kammler et al., 1993; Zhou et al., 1999;
Große et al., 2006; Jin et al., 2002). (Figure 2)
Feo system: Despite being the first Fe2+ utilization system identified in Shigella, details of the molecular mechanism(s) underlying the activity of the Feo system remain largely unknown (Kammler et al., 1993). Only three genes have been identified in the
Feo system to date: feoA, feoB, and feoC. feoB encodes an inner-membrane transporter with GTPase activity and a structure similar to that of a eukaryotic G protein (Marlovits et al., 2002). FeoC contains an oxygen-responsive [4Fe-4S] cluster, and functions to promote the proteolysis of FeoB in the presence of oxygen (Kim et al., 2015; Hsueh et al., 2013). While known to be required for transporting Fe2+ by FeoB, the exact function of FeoA remains to be determined (Kim et al., 2012; Lau et al., 2013).
Sit system: The sit locus contains four genes: sitA encoding the PBP and sitBCD encoding components of the ABC permease complex (Zhou et al., 1999; Fisher et al.,
2009). Interestingly, no outer-membrane receptor has been identified to date, leading to the hypothesis that Fe2+ is either transported through the outer-membrane via non- specific porins and/or ion channels, or originated from reduced Fe3+ by an extracellular reductase (Andrews et al., 2003). Studies in Salmonella indicate that SitA has a higher affinity for manganese than for Fe2+, which suggests that the primary function of the Sit system might be to transport manganese (Kehres et al., 2002). It has been demonstrated, however, that S. flexneri 2a is able to use the Sit system as the sole iron uptake system to survive and form plaques in a monolayer of eukaryotic cells, suggesting a direct role for this system in pathogenesis (Runyen-Janecky et al., 2003). Thus, it remains a formal 29 possibility that in Shigella, the Sit system transports both manganese and iron.
Interestingly, the E. coli orthologues of the Shigella manganese transporter MntH and zinc transporter YgiE (MntH and ZupT, respectively) have been shown to transport Fe2+ in addition to their specific substrates, findings that support the hypothesis that additional
Fe2+ transport systems may exist in Shigella species (Kehres et al., 2000; Grass et al.,
2005).
Efe system: Formally called YcdNOB, the EfeUOB system is encoded by three genes present on a tricistronic transcript in at least one strain of S. sonnei, according to the analysis of genomic sequences (Große et al., 2006; Cao et al., 2007; Payne and
Alexandra, 2010). efeU encodes the inner membrane permease and is homologous to the yeast Fe2+ transporter Ftr1p (Große et al., 2006). Proteins EfeO and EfeB are both periplasmic and are necessary for Fe2+ transportation; however, their specific functions remain unknown. Production of the Efe system is induced under acidic conditions independent of oxygen status, unlike the Feo system, whose production is induced at anaerobic conditions (Cao et al., 2007).
1.3.2 Regulation of iron uptakes systems
To ensure that each iron acquisition system is optimally produced under the specific environmental conditions in which its function will be most advantageous to the pathogen, the production of Shigella iron uptake systems is tightly regulated by multiple regulatory factors, and via distinct molecular mechanisms (Table 1). The major 30 regulatory mechanisms governing the production of Shigella iron acquisition systems are detailed below.
1.3.2.1 Regulation by extracytoplasmic function (ECF) sigma factors
The Shigella Fec system, utilized for the uptake of ferric-dicitrate, is positively regulated by the ECF sigma factor FecI (Lonetto et al., 1994; Braun and Mahren, 2005).
Specifically, upon binding of ferric-dicitrate to FecA, the TonB-dependent outer- membrane receptor undergoes a conformational change resulting in the interaction of its
N-terminal domain with the C-terminal domain of the trans-membrane anti-sigma factor
FecR. The interaction of FecA with FecR results in the release of the alternative sigma factor FecI that, in turn, directs RNA polymerases to the alternative promoter region of the fecABCDE operon (Braun and Mahren, 2005). Such regulation results directly in increased production of the Fec system when Shigella is within an environment containing ferric citrate.
1.3.2.2 Regulation by Fur
Availability of iron influences the expression of Shigella iron-acquisition systems via Fur, an iron-responsive transcriptional regulator (Fleming et al., 1983; de Lorenzo et al., 1987; Wyckoff et al., 1998; Payne et al., 2006). When present, intracellular iron can bind with Fur and induce a conformational change in the protein that, in turn, enables Fur to dimerize and bind DNA at a specific binding sequences often located within, or near, the promoter region of a regulated gene (Troxell and Hassan, 2013). Direct regulation by 31
Fur most often inhibits target gene transcription under iron-rich conditions by physically blocking binding of RNA polymerase to the promoter (Troxell and Hassan, 2013).
Indirect Fur-mediated regulation is also observed and often involves the activity of RyhB, a regulatory small RNA (sRNA) (see below) (Massé and Gottesman, 2002).
1.3.2.3 Regulation by RyhB
RyhB, a Fur-repressed regulatory sRNA first identified in E. coli, plays an important role in achieving iron homeostasis in several bacterial species, including
Shigella, by promoting degradation of specific target transcripts in response to iron availability within the environment (Massé and Gottesman, 2002). Specifically, under iron-poor conditions, RyhB is produced and functions to repress the production of several targets in both E. coli and Shigella including, but not limited to, iron-containing enzymes such as SodB and iron-storage proteins such as ferritin (Massé and Gottesman, 2002;
Murphy and Payne, 2007). Under iron-rich conditions, RyhB production is inhibited by the activity of Fur, thus relieving the RyhB-dependent repression of genes encoding iron- containing enzymes and iron-storage proteins. In E. coli, RyhB also regulates the production of aerobactin, however the detailed mechanism(s) as well as whether Shigella contains the same regulatory pathway remains to be revealed (Porcheron et al., 2014).
1.3.2.4 Oxygen-dependent regulation
Within a given environment, the amount of oxygen influences the relative abundance of Fe3+ and Fe2+; thus it is reasonable that bacterial iron uptake systems are 32 also regulated in response to environmental oxygen. The ArcAB two component system and the DNA-binding regulator Fnr are two regulatory systems with over-lapping, yet non-identical regulons that function to control the production of bacterial iron acquisition systems in response to oxygen status: (Carpenter and Payne, 2014).
ArcAB system: Within the ArcAB two-component system, ArcB is a membrane- anchored kinase that senses the environmental oxygen status, and ArcA is a DNA- binding response regulator that functions to alter the expression of specific target genes
(Carpenter and Payne, 2014). Under anaerobic conditions, auto-phosphorylation of ArcB activates its kinase activity, which in turn activates ArcA by phosphorylation. Under aerobic conditions, the activity of ArcB is inhibited, resulting in the lack of ArcA activation and thus altered expression of ArcA-regulated genes. As a global regulator,
ArcA not only regulates the expression of iron uptake genes, but also the iron-responsive regulator Fur (Boulette and Payne, 2007).
Fnr: As a DNA-binding protein, the regulatory mechanism of Fnr is similar to that of Fur. However, unlike Fur whose conformation is modulated by binding with iron, the conformational change of Fnr is determined directly by the oxidative status of its oxygen- responsive [4Fe-4S] cluster, and thus indirectly by the oxygen status of the environment
(Carpenter and Payne, 2014). With increased levels of intracellular oxygen, the [4Fe-4S] cluster within Fnr is oxidized into [2Fe-2S], a transition that results into the loss of DNA- binding, and thus the loss of the regulatory activity of Fnr.
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1.3.2.5 Temperature-dependent regulation
A change in environmental temperature to that encountered within the human body (37°C) is an important signal that indicates a transition from the non-host environment encountered during transmission to that encountered within the human host during infection. As such, temperature influences the expression of many Shigella virulence-associated genes, including shuA (Tobe et al., 1991; Kouse et al., 2013). The production of ShuA, an outer-membrane heme receptor, is regulated in response to temperature at the post-transcriptional level via the activity of an RNA thermometer located in the 5' untranslated region of the gene (Kouse et al., 2013). At relatively low temperatures, an inhibitory structure is predicted to form within the shuA 5' untranslated region that functions to prevent translation initiation by occluding the ribosomal binding site. At 37˚C, the body temperature of human, the inhibitory structure is destabilized and shuA translation proceeds. While ShuA is currently the only Shigella iron acquisition factor known to be regulated by the activity of an RNA thermometer, the full impact of this temperature-dependent regulatory mechanism on iron utilization by these pathogens remains to be determined.
1.4 Regulation of bacterial virulence-associated genes via RNA thermometers
RNA thermometer (RNAT), as dictated before, is a cis-regulatory RNA element that functions to modulate the translational efficiency for the transcript in which they are housed in response to alterations in temperature (Kortmann and Narberhaus, 2012)
(Figure 3). Though it is well established that translational efficiency is affected by the 34 secondary structure of an RNA transcript, it was not until 1989, however, that the first cis-encoded temperature-responsive RNA regulatory element was identified (Gold, 1988;
Altuvia et al., 1989). Since that time, the rate at which temperature-responsive cis- encoded regulatory RNA elements have been identified, and the concurrent understanding of how they function to control target gene expression has grown exponentially; a statement that is particularly true of temperature-sensing RNA regulatory elements in bacteria.
Figure 3. Schematic of the molecular mechanism of RNA thermometers. In the figure, the hairpin structure indicates the inhibitory hairpin of an RNA thermometer, with the red line representing the region of Shine-Dalgarno (SD) sequence. At relatively low, or non-permissive, temperatures, formation of the inhibitory hairpin inhibits translation from the transcript by preventing binding of ribosome to the SD sequences. As the environmental temperature increases to the permissive range, the inhibitory structure dissociates, giving the ribosome access to the SD sequence and thus permitting translation. © 2016 Wei Y, Murphy ER. Published in (Wei and Murphy, 2016b) under CC BY 3.0 license. Available from: http://dx.doi.org/10.5772/61968
With the ever-increasing number of characterized RNATs, variability within this class of regulators is now coming to light. While the majority of RNATs are composed of sequences within the 5 untranslated region (5 UTR) of the regulated gene, some have now been shown to be composed, at least in part, of sequences within the coding region of the regulated transcript or by sequences within the coding region of a preceding gene within a polycistronic transcript (Krajewski et al., 2014; Morita et al., 1999). In addition, 35 the number of stem loops composing different RNAT range from one in the simplest
RNATs, to five in the most complex RNATs (Klinkert et al., 2012; Kouse et al., 2013).
Despite the variability among RNATs, they all share several fundamental features.
Identifying and understanding the functional contribution of features conserved among characterized RNATs, as well as those that vary among this class of regulators, has and will continue to inform the foundational knowledge of the biological functions and chemical nature of these ubiquitous regulators. In this section, a summary of families of
RNATs, and the virulence-associated processes controlled by RNATs is provided.
Information of this section has been published in (Wei and Murphy, 2016b) under CC
BY 3.0 license. Available from: http://dx.doi.org/10.5772/61968
1.4.1 Families of RNA thermometers
Though responsive to temperature, RNAT-mediated regulation is not an all-or- nothing regulation but rather the shifting of equilibrium towards an open or closed configuration depending on temperature (Kortmann and Narberhaus, 2012). Furthermore, mutagenesis-based experimentation has clearly demonstrated that it is the altered stability of the inhibitory structure rather than the primary sequence that plays the most critical role in the regulatory function of RNATs (Nocker et al., 2001b).
The thermal sensing activity of an RNAT is largely dependent on the physical features of its secondary structure, specifically by those features that impact the stability, or the Tm, of the inhibitory hairpin. In addition to the base-stacking interactions and the hydration shell of an RNA helix, other critical features of RNATs include 1) the number 36 and stability of hairpins that are formed within the element; 2) the presence of canonical and non-canonical base-pairing within the inhibitory structure; 3) the existence of internal loops, bulges, or mismatches within the formed structure(s); and 4) the extent of base- pairing between sequences composing the SD site and/or start codon with upstream sequences contained on the transcript. Each of these features can directly impact the stability of the inhibitory structure within a given RNAT, which in turn dictates the responsiveness of the element to temperature. Despite sharing a common basic regulatory mechanism, different RNATs display different secondary structures and other key features, differences that are now used to classify bacterial RNATs into families. The two currently recognized families of RNATs are ROSE-like RNATs (repression of heat shock gene expression) and FourU RNATs. RNATs composing each of these two main families, as well as a several unique RNATs, are discussed below.
1.4.1.1 ROSE-like RNA thermometers
ROSE-like elements were first identified as conserved cis-regulatory elements located in the regions between the promoters and translational start codons of genes encoding small heat shock proteins (sHsps) in Bradyrhizobium japonicum, and within a short time were reported in other Rhizobium species as well as in Agrobacterium tumefaciens (Balsiger et al., 2004; Münchbach et al., 1999; Nocker et al., 2001a;
Narberhaus et al., 1998). The heat shock response is a highly conserved process among microorganisms, and while their numbers vary between organisms, small heat shock proteins play a critical role in preventing protein denaturation and aggregation under heat 37 stress. Based on the conservation of the biological process as well as the conservation of the primary sequence and secondary structure of the 17 originally identified ROSE-like elements, bioinformatics-based techniques were used to predict ROSE-like elements in the 5 UTRs of sHsp encoding genes from 120 different archaea and bacteria
(Waldminghaus et al., 2005; Nocker et al., 2001a). As a result of these studies, 27 additional ROSE-like elements were identified in 18 different - and -proteobacteria species (Waldminghaus et al., 2005). Likely as a result of the approaches used to identify them, nearly all ROSE-like elements identified to date control the production of factors involved in the heat shock response. However, as additional ROSE-like RNATs are identified and characterized, it is expected that the contribution of these regulatory elements will be expanded beyond the heat shock response and into other physiological processes. This notion is supported by the recent identification of a ROSE-like RNAT in
Pseudomonas aeruginosa that controls the production of rhamnolipids, a virulence factor that functions to protect the pathogen against killing by the human immune system
(Grosso-Becerra et al., 2014). Only with additional studies will the potentially full, and potentially expansive role of ROSE-like thermometers in controlling the physiology and virulence of bacterial species be revealed.
The ROSE-like family is the most extensively studied family of RNATs, harbouring approximately 70% of all RNATs identified to date. All RNATs within the
ROSE-like family are housed with 5 UTR regions that range from 60 nucleotides to more than 100 nucleotides in length, and that form (or are predicted for form) 2 to 4 hairpins (Waldminghaus et al., 2005; Grosso-Becerra et al., 2014). In cases where more 38 than one hairpin is formed, the 5-proximal hairpin often acts to stabilize the secondary structure and/or facilitate the correct folding of the other hairpins, while the 3-proximal hairpin contains the SD region of the regulated transcript (Chowdhury et al., 2006). The defining features of ROSE-like RNATs that contribute to their temperature-responsive regulatory function include 1) the presence of a conserved anti-SD sequence 5-UYGCU-
3 (Y stands for a pyrimidine) in the 3-proximal hairpin and 2) a “bulged” guanine within the SD sequestering hairpin (Figure 4) (Waldminghaus et al., 2005). As a feature shared by all ROSE-like elements, it has been proposed that the “bulged” guanine within the SD sequestering hairpin is essential for the thermo-responsiveness of the regulatory element, a prediction that is supported by various mutagenesis-based experimental approaches and by NMR spectroscopy (Chowdhury et al., 2006; Krajewski et al., 2013; Waldminghaus et al., 2009). These studies have not only demonstrated that the “budged” guanine is essential for function but also have revealed that the “bulged” guanine forms hydrogen bonds with the second guanine within the SD sequence of 5-AGGA-3. Additionally, towards the 3 end of the SD site, two pyrimidines from the anti-SD strand form a triple- base pair with an uracil from the SD site via hydrogen bonds (Figure 4). The existence of two highly unstable pairs, the G-G pair and the triple-base pair, within the inhibitory hairpin of ROSE-like RNATs enables it to respond to the subtle changes of environmental temperature, and thus to function as a temperature-sensitive regulatory element (Chowdhury et al., 2006).
39
Figure 4. Structural features of the ROSE-like family of RNA thermometers. The demonstrated schematic is the hspA RNA thermometer of B. japonicum. Within the four hairpins of hspA RNA thermometer, only the conserved structural features in the 3 proximal hairpin are shown in detail, with the varied number of upstream hairpins indicated by the general hairpin structure in parentheses. The red line indicates the location of the SD sequence, while the conserved G-G pairing and triple-base pair are highlighted by the green boxes. © 2016 Wei Y, Murphy ER. Published in (Wei and Murphy, 2016b) under CC BY 3.0 license. Available from: http://dx.doi.org/10.5772/61968
1.4.1.2 FourU RNA thermometers
FourU RNATs, so named due to the presence of four consecutive uracil residues within the SD sequestering inhibitory hairpin, represent the second family of identified
RNATs. First identified in Salmonella enterica, a total of eight FourU RNATs have now been identified and characterized in a variety of bacterial species (Waldminghaus et al.,
2007; Klinkert et al., 2012; Kouse et al., 2013; Weber et al., 2014; Böhme et al., 2012;
Hoe and Goguen, 1993). Unlike ROSE-like RNATs, only two characterized FourU
RNATs function to control the production of heat shock-related factors (Waldminghaus 40 et al., 2007; Klinkert et al., 2012). Instead, the majority of characterized FourU RNATs
(toxT from Vibrio cholera, lcrF/virF from Yersinia species, as well as shuA from S. dysenteriae and chuA from some pathogenic E. coli) function to regulate the production of virulence factors in response to alterations in environmental temperature (Kouse et al.,
2013; Weber et al., 2014; Böhme et al., 2012).
The structural features of FourU RNATs are largely varied. For example, the length of the 5 UTRs in which FourU RNATs are housed ranges from as short as 40 nucleotides (htrA from E. coli and Salmonella) to more than 280 nucleotides (shuA from
Shigella dysenteriae) in length (Klinkert et al., 2012; Kouse et al., 2013). Additionally, the number of hairpins varies from a single hairpin with internal loops (toxT from Vibrio cholerae) to five hairpins, including an inhibitory hairpin with no internal loops (shuA from S. dysenteriae) (Weber et al., 2014; Kouse et al., 2013). Despite these differences, there are also several key features shared among RNATs within the FourU family. The first shared feature of all RNATs within the FourU family is the presence of four consecutive uridine residues that form canonical A-U and/or non-canonical G-U base- pairs with SD sequences on the regulated transcript (Figure 5). Additionally, for RNATs within the FourU family, the SD sequestering hairpin is generated by no less than 5 continuous base-pairs, and often displays conserved destabilizing features including the presence of relatively few G-C pairs, as well as internal mismatches or loops within the inhibitory structures. In the studies of each characterized FourU RNAT, mutagenesis analyses that introduce G-C base-pairs into the inhibitory structure result in the expected stabilization and, importantly, loss of thermal sensing activity by the regulatory element 41
(Kouse et al., 2013; Weber et al., 2014; Waldminghaus et al., 2007). NMR spectroscopy analysis has been utilized to study the dynamics of the inhibitory hairpin within the agsA
FourU RNAT (Rinnenthal et al., 2011). Specifically, a point mutation that introduces a
C-G base-pair at the previously mismatched position adjacent to the SD region increased the melting temperature of the hairpin by 11°C. Additionally, two Mg2+ binding sites were found in the agsA FourU thermometer hairpin and it was demonstrated that Mg2+ functions to stabilize the inhibitory structure (Rinnenthal et al., 2011). The degree to which these important features are conserved among members of the FourU RNAT family will be revealed only after additional members are identified and experimentally characterized. Such experimentation will not only define the FourU RNAT family of regulators but will also advance our ability to identify new FourU RNATs.
Figure 5. Structural features of the FourU family of RNA thermometers. The demonstrated schematic is the shuA RNA thermometer from S. dysenteriae. Only the conserved portion of the inhibitory hairpin of shuA RNA thermometer is shown in this figure. The red line indicates the location of the SD sequences, while a green box indicates the location of the conserved four consecutive uracil residues. © 2016 Wei Y, Murphy ER. Published in (Wei and Murphy, 2016b) under CC BY 3.0 license. Available from: http://dx.doi.org/10.5772/61968
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1.4.1.3 Additional types of RNA thermometers
It is important to note that not all characterized RNATs fit neatly into one of the two main families: ROSE-like and FourU. While all RNATs are thought to share a basic zipper-like thermosensing mechanism, several identified RNATs differ from those composing the main families in critical features, including primary sequence and/or secondary structure, features that impact the regulatory activity of these elements. It is the identification and characterization of the details of the molecular mechanisms underlying each of these additional types of RNATs that will expand our understanding of foundational principles governing RNA-mediated thermal sensing.
Although lacking the presence of four consecutive uracil residues, two RNATs are similar to FourU RNATs in that they display more than 5 continuous base-pairs within the SD region of their inhibitory hairpins: one RNAT controls the expression of an sHsp (Hsp17) from Synechocystis sp. PCC 6803, while the other controls the production of Salmonella GroES, a component of protein chaperon machinery (Cimdins et al., 2013;
Kortmann et al., 2011). RNAT-mediated regulation of hsp17 is important for the survival of Synechocystis under heat stress, because Hsp17 not only prevents denatured proteins from aggregation but also protects the integrity of cellular membranes (Lee et al., 1998;
Török et al., 2001). The 5 UTR of hsp17 has a single hairpin with an internal asymmetric loop (Kortmann et al., 2011). In the SD sequence-binding region, instead of four uracils as seen in the FourU thermometer, the hsp17 RNAT has a sequence of 5-UCCU-3 that forms four canonical pairs with the SD sequence, including two G-C pairs. The remaining base-pairs in the inhibitory hairpin are mainly A-U pairs with two non- 43 canonical G-U pairs. As the most stable base-pairs within the hsp17 RNAT, these two G-
C base-pairs contribute to the stability and thus the inhibitory function of the hairpin.
Other features such as the asymmetric internal loop and low ratio of G-C base-pairs destabilize the inhibitory structure, features that together enable the hairpin to dissociate with the increase of temperature. For the inhibitory hairpin of the groES RNAT, it has a mismatch of an adenine and a guanine that destabilizes this structure. While the secondary structure and temperature-responsive regulatory function of the groES RNAT has only been experimentally characterized in Salmonella and E. coli, this RNAT and its regulated factor, a necessary chaperon for proper folding of cellular components, are well conserved in enterobacteria (Cimdins et al., 2013).
In some RNATs, base-pairing involving the SD sequence is not complete but instead is disrupted by mismatches or “bulged” nucleotides, a feature also noted for
ROSE-like elements. For example, the inhibitory structure within the RNATs that control the production of two putative lipoproteins LigA and LigB in Leptospira interrogans have identical nucleic acid sequences that include a mismatch of an adenine and a guanine within the SD sequestering hairpin (Matsunaga et al., 2013). Genes hspX and hspY that encode sHsps in Pseudomonas putida are also regulated by RNATs that contain one or two A·G mismatches disrupting the otherwise continued base-pairing of the SD region (Krajewski et al., 2014). For these RNATs, further investigation is needed to the direct impact of the apparently conserved feature of mismatched or bulged sequences within the inhibitory structure on the regulatory activity of these elements. 44
For some RNATs, the function and stability of the inhibitory hairpin are impacted by base-pairing with sequences other than those within the SD region. For example, in the 5 UTR of prfA, a transcriptional factor controlling virulence genes in Listeria monocytogenes, a major portion of the SD region and the start codon are confined within internal loops and thus are partially single-stranded (Johansson et al., 2002). It has been demonstrated, however, that the hairpin within the prfA 5 UTR containing the SD region and start codon does function as an RNA thermometer, an activity that is dependent on base-pairs that are located upstream of the SD site, which function to stabilize the unusually long hairpin. Another example of sequences other than those within the SD region that directly impact the regulatory function of an RNAT is the repeated nucleotide sequence of 5-UAUACUUA-3 in the RNAT of cssA, a gene involved in capsule production from Neisseria meningitidis (Loh et al., 2013). These 8-nucleotide sequences are located upstream of the SD region and enable the RNAT to sense mild changes of environmental temperature, which is important for the survival of N. meningitides. As an opportunistic pathogen that colonizes only humans, it is important that N. meningitidis can sense and respond to a mild increase of temperature, as would be encountered during a fever response.
A unique example among currently identified RNATs is the one that controls the production of heat-shock response alternative sigma factor RpoH (σ32) in E. coli (Morita et al., 1999). Binding of the ribosome to the SD region within the ropH transcript is facilitated by a sequence (named downstream box) located between the SD site and the start codon (Nagai et al., 1991). The rpoH RNAT inhibits translation via embedding this 45 downstream box in the junction region of three stem loops instead of forming base-pairs within a single inhibitory hairpin as is the usual conformation in RNATs (Morita et al.,
1999). As the environmental temperature increases, two stems that paired with the downstream box melt at the junction position exposing the downstream box as a single strand, a conformation that facilitates ribosome binding to the transcript.
Lastly, there are currently three characterized RNATs that are located within intergenic regions of a polycistronic transcripts: ibpB, encoding a small heat shock protein in E. coli, lcrF, encoding a master transcriptional activator of virulence genes in
Yersinia species, and hspY, encoding a putative small heat shock protein in P. putida
(Böhme et al., 2012; Krajewski et al., 2014; Gaubig et al., 2011). Their location within polycistronic transcripts differentiates these three RNATs from all others found in the 5
UTR of monocistronic or polycistronic transcripts.
Although they display key features that differ from those possessed by RNATs in the ROSE-like or FourU families, many of the unique RNATs highlighted above are conserved between several bacterial species. There is little doubt that, as additional bacterial RNATs are identified and characterized, commonalities will emerge and additional families will be recognized.
1.4.2 Bacteria virulence-associated genes regulated by RNA thermometer
Once within the body of the host, and throughout the course of a natural infection, pathogenic bacteria face several challenges, including but not limited to 1) the need to adhere to host cells, 2) the need to evade killing by the host immune system, and 3) the 46 need to acquire essential nutrients. To overcome these challenges and progress of an infection, bacteria produce specific virulence factors. As the production of virulence factors is most beneficial to an invading bacterium when it is within the host, several levels of regulation are often employed to ensure that the production of these important factors occurs only when the bacteria is within an environment that resembles that encountered within the infected host. RNATs are involved in regulating the production of a variety of virulence factors in several species of pathogenic bacteria (Figure 6), ensuring that these factors are most efficiently produced at the relatively high temperatures encountered within the infected host.
Figure 6. Key virulence-associated processes controlled by RNA thermometers in bacteria. The influence of RNA thermometers on the bacterial virulence is indicated by highlighting the different groups of genes whose expression is directly regulated by an RNA thermometer. © 2016 Wei Y, Murphy ER. Published in (Wei and Murphy, 2016b) under CC BY 3.0 license. Available from: http://dx.doi.org/10.5772/61968
The expression of many virulence-associated genes is controlled by protein-based regulation, specifically that carried out by transcriptional regulators. Interestingly,
RNATs have been found to directly control the production of three transcriptional activators that, in turn, function to control the expression of virulence-associated genes: 47 prfA from L. monocytogenes, lcrF from Y. pestis, and toxT from V. cholera (Johansson et al., 2002; Böhme et al., 2012; Weber et al., 2014). Another regulatory system that controls the expression of multiple virulence factors is quorum sensing. To date, one gene whose product is involved in quorum sensing-dependent modulation of virulence gene expression has been found to be regulated by an RNAT; this gene is lasI from P. aeruginosa (Grosso-Becerra et al., 2014). RNATs within lcrF and toxT are FourU
RNATs, while the RNATs controlling the expression of prfA and lasI have a currently unique structure.
RNATs have also been implicated in controlling the expression of virulence- associated genes that encode factors involved in adhesion and immune evasion. For example, three virulence-associated genes in N. meningitis have been found to be regulated by RNATs: cssA, a gene encoding a factor involved in capsule production; fHbp, a gene encoding a factor H binding protein; and lst, a gene encoding a factor required for modifications of lipopolysacccharides (Loh et al., 2013). In L. interrogans, ligA and ligB, two genes encoding putative lipoprotein, are also regulated by RNATs
(Matsunaga et al., 2013). Additionally P. aeruginosa rhlA, a gene encoding an enzyme required for the synthesis of rhamnolipid, a compound that can prevent killing of the bacteria by host immune system, is regulated by an RNAT (Grosso-Becerra et al., 2014).
Except for rhlA RNAT, which is a member of the RSOE-like family, these other RNATs have unique structures and thus are not members of the ROSE-like or FourU families of regulators. 48
To date, two genes involved in the acquisition of essential nutrients have been shown to be regulated by RNATs: S. dysenteriae shuA, a gene encoding an outer membrane heme-binding protein, and its homologous gene chuA in pathogenic E. coli
(Kouse et al., 2013). Translation of shuA/chuA is controlled by a FourU RNAT located in the relative long 5 UTR of the corresponding gene. Production of ShuA or ChuA facilitates the utilization of iron from heme, a potential source of essential iron found only within the relatively warm environment of the infected host (Wyckoff et al., 1998).
For many pathogenic bacteria, the transmission from one host to the next involves exposure to environments with different temperatures. The expression of many virulence- associated genes is influenced by environmental temperature, a signal that varies between the host and non-host environments. With an increasing number of virulence-associated genes that are now known to be regulated by the activity of RNATs, it is possible that temperature-dependent regulation mediated by RNATs will emerge as one of the basic regulatory strategies utilized by pathogenic bacteria. The full and potentially expansive role that RNATs play in controlling virulence of pathogenic bacteria is yet to be revealed. 49
CHAPTER 2: IRON-DEPENDENT REGULATION OF SHUT
2.1 Abstract
To survive within human body, pathogenic bacteria must acquire iron from each of the unique environments encountered throughout the infection cycle. Using the
Shigella heme utilization (Shu) system, S. dysenteriae is able to acquire iron from heme, a potentially rich source of nutritional iron within the otherwise iron-limited environment of the human host. To balance between the necessity and toxicity of iron, production of the Shu system is tightly regulated in response to specific environmental conditions, including iron availability. In this chapter, experimental techniques, such as RNA sequencing and Rapid Amplification of cDNA 5'-ends analyses, were applied to localize the transcriptional start site and promoter region of S. dysenteriae shuT, a gene encoding a periplasmic heme binding protein, was localized, and the molecular mechanisms underlying iron-dependent transcriptional regulation of this gene was characterized.
2.2 Introduction
2.2.1 Heme uptake system and bacterial pathogenesis
In the human body, as an innate host immune defense against infection, the level of bio-available iron is maintained at exceedingly low concentrations by sequestration of the element within host compounds, such as heme. Binding approximately 95% of all iron within the human body, heme represents the most abundant potential source of nutritional iron for an invading pathogen (Otto et al., 1992). The utilization of heme- bound iron is one mechanism used by some pathogenic bacteria to overcome the extreme 50 iron limitation encountered within the host. Examples of heme utilization systems in pathogenic bacteria include, but are not limited to, the Has system in Serritia marcescens, the Bhu system in Bordetella species, the Hut system in Bartonella quintana, and multiple heme-acquisition systems in Haemophilus influenzae (Vanderpool and
Armstrong, 2001; Ghigo et al., 1997; Parrow et al., 2009; Whitby et al., 2009; Murphy et al., 2002). Importantly, the ability of a bacterial pathogen to utilize heme as a source of nutritional iron is often positively associated with virulence (Otto et al., 1992).
In the bacteria genus Shigella, only one heme utilization system has been identified, the Shigella heme uptake (Shu) system. The Shu system was first identified in
S. dysenteriae, yet it is predicted to be present in some strains of S. sonnei (Wyckoff et al., 1998; Mills and Payne, 1995). Inactivation of shuA, a gene encoding the outer- membrane heme receptor, eliminates the ability of S. dysenteriae to utilize heme as a sole source of nutritional iron, suggesting that the Shu system is the only functional heme- utilization system in this species (Mills and Payne, 1997). Direct measurement of the contribution of the Shu system to S. dysenteriae pathogenesis is difficult given the limitations of in vitro tissue-culture based analyses. However, several studies indicate a positive association of the Shu system, or orthologous systems, with bacterial virulence.
The connections between the Shu system and virulence include the fact that only pathogenic bacterial strains encode the shu or orthologous genes, such as chu genes in pathogenic Escherichia coli and hmu genes in Yersinia species (Mills and Payne, 1995;
Wyckoff et al., 1998). Additionally, inactivation of chuA, the shuA ortholog in uropathogenic E coli, diminishes the ability of the strain to colonize mice as compared to 51 that of the wild-type strain (Torres et al., 2001). Together these data support the conclusion that the ability to utilize heme as a source of nutritional iron facilitates bacterial virulence including, most likely, that of Shigella species.
2.2.2 Shigella heme uptake (Shu) system
Components of the Shu system are encoded within the shu locus, a 9.1kb genomic sequence predicted to contain eight coding genes. Homologous genomic sequences of the shu locus were also identified in Yersinia pestis, Y. enterocolitica, Vibrio cholera, and several pathogenic E. coli strains, in which the corresponding DNA region is termed the chu locus (Mills and Payne, 1995; Wyckoff et al., 1998). The S. dysenteriae shu locus is predicted to contain four promoters, transcription from which would generate two monocistronic transcripts (shuA and shuS), and two polycistronic transcripts (shuTWXY and shuUV) (Wyckoff et al., 1998) (Figure 7). However, according to previous results obtained in the Murphy lab, specifically those from RT-PCR analyses targeting the intergenic regions between each shu gene, two large polycistronic transcripts are generated from within the shu locus (shuAS, and shuTWXYUV) were identified in the shu locus (Kouse, 2014) (Figure 7). Though these data cannot exclude the possibility that gene shuU and shuS have their own promoters, the importance of shuA and shuT promoter regions are increased, as the activation of these two promoters could lead to the production of the two large transcripts encoding components composing the complete
Shu system.
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Figure 7. Schematic of the S. dysenteriae shu locus. Schematic of the S. dysenteriae shu locus adapted from Wyckoff E. with some modifications according to the latest research results (Wyckoff et al., 1998). Each arrow box indicates an open reading frame, with the name of the gene on top of the arrow box. Arrow lines indicate the putative promoters. Two thick lines indicate the promoters of shuT and shuA, from which transcripts of the complete shu locus could be produced. Two thin arrows starting from shuS and shuU indicate the previously predicted promoters.
2.2.3 Transportation of heme via the Shu system
It is thought that the utilization of heme-bound iron is initiated when heme is bound by the outer-membrane receptor ShuA (Figure 8). As the first identified protein in the Shu system, ShuA is 73 kDa in size and shows structural homology to the well- characterized outer membrane heme binding protein HasR (Mills and Payne, 1997;
Burkhard and Wilks, 2007). Binding of ShuA and free heme seems to be non-specific and physiologically irrelevant, given that free heme is unstable in aqueous solution and also toxic to the host (Burkhard and Wilks, 2007). Instead of free heme, ShuA shows a high binding affinity to oxidized hemoglobin, which is likely to be the physiological substrate for ShuA (Burkhard and Wilks, 2007). The energy needed for transportation of ShuA bound heme across the S. dysenteriae outer membrane is provided by the inner membrane complex TonB/ExbB/ExbD (Burkhard and Wilks, 2007).
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Figure 8. Schematic of the Shu system. The schematic of the Shu system includes an outer membrane heme binding receptor (ShuA), a periplasmic heme binding protein (ShuT), a ABC permease complex (ShuUV), and a cytoplasmic heme binding protein (ShuS). Transportation directions are indicated by straight arrows. In addition, the TonB/ExbB/ExbD complex, which provides energy for transportation crossing the outer membrane is also shown.
Once translocated across the outer membrane, the periplasmic heme binding protein ShuT is involved in further heme transportation (Figure 8). Mature ShuT protein has been detected in periplasmic cellular fractions and has been demonstrated to have a molecular mass of 28.3 kDa (Eakanunkul et al., 2005). Based on the amino acid sequences and structural features, ShuT has low homology to previously characterized periplasmic binding proteins (PBPs), and has now been grouped as type III PBPs. Other members in the type III PBPs including the heme binding protein PhuT from
Pseudomonas aeruginosa, the vitamin B12-binding protein BtuF from Treponema pallidum, as well as the enterobactin-binding protein FepB and iron-hydroxamate binding 54 protein FhuD both from Escherichia coli (Eakanunkul et al., 2005; Ho et al., 2007;
Stephens et al., 1995; Clarke et al., 2002). Experimental results suggest that one ShuT monomer binds to one heme molecule with very high binding affinity, although the actual
Kd value is hard to measure due to the instability of heme in aqueous solution
(Eakanunkul et al., 2005). It is thought that the relatively higher heme binding-affinity of
ShuT as compared to that of ShuA is part of the driving force of heme transportation. In some cross membrane transportation systems, such as FhuA, the outer membrane receptor has an extremely high binding affinity to its substrate (Locher and Rosenbusch,
1997; Rohrbach et al., 1995); however, in general, the outer membrane receptor has a lesser substrate affinity as compared to that of the PBPs. Such differential affinities promote the transportation of substrate across the outer membrane. Besides promoting transportation, the other function of ShuT is in complexing to the ABC permease and triggering the transportation of heme across the cytoplasmic membrane of S. dysenteriae.
The S. dysenteriae heme ABC permease complex (ShuUV) contains two domains: a nucleotide-binding domain (ShuV) and a transmembrane domain (ShuU)
(Figure 8). After binding of ShuU with the heme-ShuT complex in the bacterial periplasm, binding and hydrolysis of cytoplasmic ATP by ShuV induces conformational changes within the ABC permease that promote the translocation of heme across the cytoplasmic membrane (Burkhard and Wilks, 2008). Besides ShuT, the cytoplasmic heme binding protein, ShuS, is also suggested to be involved in the translocation of heme across the inner membrane. Direct protein-protein interactions between ShuUV and ShuS have been confirmed by site-specific mutation studies (Burkhard and Wilks, 2008). 55
Moreover, the presence of ShuS is required for the release of heme by the ABC permease
(Burkhard and Wilks, 2008). Together these findings suggest that the process of translocation heme across S. dysenteriae inner membrane is coupled by multiple protein components of the Shu system.
In addition to facilitating heme transportation, ShuS is regarded as an important regulator for iron hemostasis (Wyckoff et al., 2005). Although ChuS, the ShuS homolog in E. coli, has been characterized to have heme degrading properties, such an ability is appears to be absent in ShuS (Ouellet et al., 2016; Wyckoff et al., 2005). Instead, one study suggests that ShuS binds with DNA in a sequence non-specific manner, and is supposed to protect DNA against the oxidative damage results from excess heme or iron
(Wilks, 2001; Kaur and Wilks, 2007). Once within the cytoplasmic space, the fate of heme-bound iron remains unclear. One model suggest that in order to extract iron from heme, ShuS transports heme to an uncharacterized heme-degrading protein; alternatively, excess heme may been stored in a heme-storage protein other than ShuS (Wyckoff et al.,
2005) (Figure 8).
The function of the proteins encoded by the remaining three open reading frames
(shuW, shuX, and shuY) within the shu locus remains unknown (Figure 7). ShuW has weak homology with HemN of E. coli, an enzyme involved in the biosynthesis of heme; however, a stop codon within the ShuW coding region renders it as a pseudogene
(Wyckoff et al., 1998). ChuX, the ShuX homologous in E. coli, has been identified to be a cytoplasmic heme binding protein that helps in maintaining iron homeostasis (Suits et 56 al., 2009). However, whether ShuX shares a function with its homolog remains to be verified.
2.2.4 Fur-mediated iron-dependent regulation of the Shu system.
While iron is essential, the element is toxic when in excess (Everse and Hsia,
1997). As a means to maintain the critical balance between the necessity and toxicity of iron, the production of bacterial iron uptake systems is tightly regulated. As a direct indication of the requirement of uptake nutritional iron, the availability of intracellular iron regulates production of multiple bacterial iron utilization systems. Such regulatory mechanism is utilized by a wide variety of pathogenic bacteria, as well as Shigella, is that of transcriptional modulation by the Ferric uptake regulator (Fur) (Bagg and Neilands,
1987). Specifically, intracellular bio-available iron interacts with Fur and induces a conformational change in the protein that enables it to bind with DNA in a sequence specific manner (Troxell and Hassan, 2013) (Figure 9). Typically, the Fur binding site overlaps with the promoter region of the target gene; thus binding of Fur to the DNA occludes RNA polymerase from its recognition site, and as a consequence inhibits target gene transcription.
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Figure 9. Schematic of Fur-mediated iron-dependent repression. The blue box in each side represents the target gene. Transcription is indicated by the arrow. When the bacterium is under iron rich conditions, intracellular bio-available iron interacts with Fur induces a conformational change of the protein, which enables it to bind its binding site and block transcription. Under iron poor conditions, apo-Fur can’t bind with DNA, thus permit binding of ribosome to the promoter region to initiate transcription.
With the identification of the shu locus structure, putative Fur-binding sites were identified in close proximity to each predicted shu promoter (Figure 7), suggesting that the production of the S. dysenteriae Shu system is regulated in response to iron availability by the activity of Fur (Wyckoff et al., 1998). Indeed, the Fur-mediated iron- dependent regulation of shuA has been experimentally demonstrated (Mills and Payne,
1997). However, whether production of the other polycistronic transcript (shuTWXYUV) from the shu locus is also regulated in response to iron availability by the activity of Fur remained to be experimentally verified. In this chapter, iron-dependent regulation of shuT transcription has been verified and the regulatory molecular mechanism underlying this regulation been characterized.
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2.3 Methods and materials
2.3.1 Strains and culture conditions
All bacterial strains and plasmids used in this research are shown in Table 2.
Escherichia coli was cultured in Luria-Bertani (LB) broth (1% tryptone, 0.5% yeast extract, and 1% NaCl) or on LB agar plates (LB with 1.6% (wt vol-1)) at 37˚C. S. dysenteriae was cultured in LB broth or on Tryptic soy broth agar plates (Becton,
Dickenson and Company, Sparks, MD) containing 0.01% (wt vol-1) Congo red dye (ISC
BioExpress, Kaysville, UT) at the indicated temperatures. “Iron-rich” media (+Fe) refers to the LB broth, while “iron-poor” media (-Fe) refers to LB broth containing 150µM 2,2'- bipyridine (Alfa Aesar, A Johnson Matthey Company) as an iron chelating reagent.
Chloramphenicol and Ampicillin were used at a final concentration of 30 (µg ml-1) and
150 (µg ml-1), respectively, for the growth of bacterial strains carrying plasmids.
Table 2
Summary of bacterial strains and plasmid vectors Destination Description Reference/ source Strains Escherichia coli DH5α Life Technologies Shigella dysenteriae O-4576S1 (Murphy and (aka ND100) Wild-type S. dysenteriae. Payne, 2007) (Murphy and Δfur fur deletion in O-4576S1 Payne, 2007) Plasmids Cloning vector that has a lacZ gene, whose (Castellanos et al., pHJW20 promoter region can be cut out by the restriction 2009) enzymes SalI and XbaI. Cmr 59
Table 2: continued Reporter plasmid that has the shuT putative pT-lacZ promoter region inserted right before the reporter This study gene lacZ of plasmid pHJW20. Cmr pHJW20 carrying a Promoter-less lacZ gene, (Castellanos et al., pMic-21 working as the negative control of β- 2009) galactosidase assay. Cmr Low-copy plasmid containing a PLtetO-1 (Urban and Vogel, pXG10 constitutive promoter and a report gene gfp, 2007) which lacks the start codon. Cmr Reporter plasmid that has the shuT promoter, 5' pT-UTR UTR, and start codon inserted right before the This study reporter gene gfp of plasmid pXG10. Cmr Reporter plasmid that has the shuT full 5' UTR pF-UTR and start codon inserted right before the reporter This study gene gfp of plasmid pXG10. Cmr Reporter plasmid that has the truncated shuT 5' pS-UTR UTR and start codon inserted right before the This study reporter gene gfp of plasmid pXG10. Cmr Plasmid that have the PLtetO-1 constitutive promoter immediately in front of the coding pXG-1 region of gfp. Used in electrophoresis mobility This study shift assay to produce DNA fragment working as negative control. Cmr Purchased plasmid vector that has thymine pGEM-T PROMEGA, overhang at the 3' end of each strand and can be easy vector Madison, MI used to ligate with PCR products directly. Ampr Purchased plasmid vector containing a gene encoding glutathione S-transferase (GST), whose pGEX-2T expression is controlled by promoter Ptac. In GE Healthcare frame cloning sites exist after GST coding region. Ampr Plasmid that has the coding region of Shigella Fur cloned in frame after the coding region of GST. pGEX-fur This study Used to produce the GST-Fur fusion protein, which is induced by IPTG. Ampr Cmr: the plasmid contains Chloramphenicol resistant gene. Ampr: the plasmid contains Ampicillin resistant gene.
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2.3.2 Oligonucleotide primers
All oligonucleotide primers were designed based on the chromosomal sequences of S. dysenteriae and synthesized by Integrated DNA Technologies. Primer sequences used in this research are summarized in Table 3.
Table 3
Summary of oligonucleotide primers Primer Sequence Function shuT-R CAGTTTGGCGGTTTCTG Reverse shuT-F1 CAAGGATCATCACTAGGC transcriptase PCR identifying the shuT-F2 TTCTCAATTTGATAAGAGTTCTC region of shuT-F3 TTGAATCGACGGTTGTATTTC transcription start shuT-F4 ATATCTCTGGGTTCTCAGC site shuT outer TTTGGCGGTTTCTGGTGGATAAGATGTC 5'-RACE outer Localizing the GCTGATGGCGATGAATGAACACTG primer transcription start GTCAGCGATCCTCCTGCGACCACGATAC site by Rapid shuT inner G amplification of 5'-RACE inner CGCGGATCCGAACACTGCGTTTGCTGGCT cDNA 5' end primer TTGATG CTAGAATTTGAGTTATATATGAAATACAA Constructing shuT-1-3 CCGTCGATTCAATACGCAAGGCGTTACA plasmid pT-lacZ AGCGTATTTAG for β- TCGACTAAATACGCTTGTAACGCCTTGCG galactosidase shuT-1-5 TATTGAATCGACGGTTGTATTTCATATAT assay AACTCAAATT shuT-for- GTGACGTCTGCGTATTGAATCGACGG XG10-60 Constructing shuT-rev- plasmid pT-UTR GTGCTAGCCATAATATGAGAACTCTTATC XG10-2 TGATAATCATGATCATTCTCAATTTGATA shuT-5UTR-F AGAGTTCTCATATTATGG Constructing CTAGCCATAATATGAGAACTCTTATCAAA plasmid pF-UTR shuT-5UTR-R TTGAGAATGATCATGATTATCATGCA TTCATGATCATTCTCAATTTGATAAGAGT Constructing T-RNAt F TCTCATATTATGG plasmid pS-UTR
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Table 3: continued CTAGCCATAATATGAGAACTCTTATCAAA Constructing T-RNAt R TTGAGAATGATCATGAATGCA plasmid pS-UTR Fur-gst tag-for CCGGAATTCTTATTTGCCTTCGTGCG Constructing CGCGGATCCATGACTGATAACAATACCG plasmid pGEX- Fur-gst tag-rev CC fur Primers used for pXG10-for CTCTTACGTGCCGATCAACG colony screening and generating DNA fragments pXG10-rev2 AGGTAGTTTTCCAGTAGTGC for gel mobility shift assay Primers target S. rrsAforRT AACGTCAATGAGCAAAGGTATTAAC dysenteriea house-keeping rrsArevRT TACGGGAGGCAGCAGTGG gene in qRT-PCR assay GfpforRT CCGTTCAACTAGCAGACCATTATC Primers target report gene gfp in GfprevRT CTCATCCATGCCATGTGTAATCC qRT-PCR assay
2.3.3 Reporter plasmid construction
pT-lacZ: Complementary oligonucleotides containing the nucleic acid sequences of the putative shuT promoter region (Table 3) were hydrated in STE buffer (0.1M NaCl,
10mM Tris-HCl, 1mM EDTA, pH 8.0). The putative shuT promoter region was reconstructed by combining the complementarity oligonucleotides, boiling the molecules in a water-bath for 10 minutes and allowing them to cool slowly to room temperature.
The annealed double-stranded DNA molecule was then ligated into plasmid pHJW20
(Castellanos et al., 2009) digested with restriction enzymes SalI (New England Biolabs inc.) and XbaI (New England Biolabs Inc.). Such cloning placed the DNA fragment containing the putative shuT promoter region immediately upstream of the report lacZ gene of pHJW20. 62
pT-UTR: Primers were designed to amplify the region containing the promoter and full 5'-UTR of shuT (Table 3) by PCR using genomic DNA of wild type S. dysenteriae as template. The amplified fragment was purified by gel extraction and digested with restriction enzymes AatII (New England Biolabs Inc.) and NheI (New
England Biolabs Inc.). The digested fragment was then purified and ligated into plasmid pXG10 (Urban and Vogel, 2007) that had been digested with AatII (New England
Biolabs Inc.) and NheI (New England Biolabs Inc.) to generate plasmid pT-UTR. Such cloning removed the PLtetO-1 constitutive promoter of pXG-10 and placed the putative promoter and full 5' UTR of shuT immediately upstream of the reporter gfp gene.
pF-UTR and pS-UTR: Complementary oligonucleotide primers containing the indicated nucleic acid sequences (Table 3) were combined and annealed in STE buffer
(0.1M NaCl, 10mM Tris-HCl, 1mM EDTA, pH 8.0) by boiling in a water-bath for 10 minutes followed by slow cooling to room temperature. The generated double-stranded
DNA products were then ligated into plasmid pXG10 (Urban and Vogel, 2007) that had been digested with restriction enzymes NsiI (New England Biolabs Inc.) and NheI (New
England Biolabs Inc.). Such cloning placed the DNA fragment encoding the putative
RNA thermometer being investigated between the PLtetO-1 constitutive promoter and the reporter gfp gene of pXG-10.
2.3.4 RNA extraction and DNA removal
Total RNA was harvested from wild-type S. dysenteriae cultured to the mid- logarithmic phase under the indicated growth condition. Following growth to mid- 63 logarithmic phase, RNA preserving buffer (95% ethanol and 5% phenol, pH 4.5) was added to each culture at a culture:buffer ratio of 4:1, and the incubated at 4˚C overnight.
Following overnight incubation, cells present in 3ml of bacterial culture were pelleted by centrifugation at 17,000g for 2 minutes. After discarding the supernatant, bacterial cells
-1 were re-suspended in 357.3µl DEPC treated ddH2O, 40µl 10% (wt vol ) sodium dodecyl sulfate (SDS), and 2.67µl 3M sodium acetate (pH 5.2) by vortexing for 15 seconds. Lysis of the bacterial cells was achieved by incubating each resuspended sample at 90˚C for 7 minutes. After lysis, 1ml of Trizol reagent (Ambion) was added to each sample, the sample transferred to a 2ml phase-lock gel tube (5 PRIME Inc., Gaitherburg, MD) and the reaction incubated at room temperature (~25˚C) for 5 minutes. Trizol reagent was extracted from each sample by the addition of 250µl chloroform followed by vigorous shaking for 30 seconds to 1 minute and then incubation at room temperature for 2 minutes. Each sample was then subjected to centrifugation for 2 minutes at 17,000g and the nucleic acid containing aqueous phase transferred to a clean 2ml microfuge tube. 1ml of 100% ethanol was added to each sample and the samples incubated overnight at -80˚C.
Following overnight incubation at -80˚C, nucleic acid present in each sample was pelleted by centrifugation at 17,000g for 15 minutes at 4˚C. Each pellet was washed by the addition of 1 ml cold 70% ethanol followed by centrifugation as described above. The supernatant was then removed and each pellet dried by centrifugation in a vacufuge
(Eppendorf) for approximately 2 minutes in Alcohol Mode. Finally, each RNA pellet was resuspended in 53μl of nuclease free water. 64
Following DNA removal from each RNA sample using TURBO DNA-free kit
(Ambion) as directed, the absence of contaminating DNA was confirmed by PCR analysis; using the RNA sample as template, the lack of amplification by a known primer set indicates the absence of DNA in the RNA sample. Finally, the concentration of the total RNA present in each sample was measured using a ND-1000 spectrophotometer
(NanoDrop Technologies, Wilmington, DE).
2.3.5 Reverse transcriptase PCR
After harvesting total RNA from wild-type S. dysenteriae cultured under the indicated conditions via the procedure dictated above, a cDNA library was generated by using the iScript cDNA Synthesis Kit (Bio-Rad) as directed. PCR amplification was conducted to identify the approximate shuT transcriptional start site by using the generated cDNA library as template. Sequences of the four forward primers (shuT-F1, shuT-F2, shuT-F3, and shuT-F4) and one conserved reverse downstream primer (shuT-R) are detailed in Table 3. Validation of each primer set was achieved by using each in a
PCR reaction containing genomic DNA of wild-type S. dysenteriae as template. Total
RNA was used as PCR template with each primer set to confirm the absence of contaminating DNA; and double distilled sterilized water was used as PCR template to confirm the absence of DNA contamination in reagents used for the PCR reaction. PCR products were detected by gel electrophoresis and UV light detection.
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2.3.6 Rapid amplification of cDNA 5' end analysis
Following isolation of total RNA from S. dysenteriae cultured to the mid-log phase under iron-poor conditions at 37˚C and DNA removal (as detailed above), ribosomal RNA was depleted from each sample using the RiboMinus Transcriptome
Isolation Kit for bacteria (Ambion) as directed, and the RNA sample concentrated by ethanol precipitation. Rapid amplification of cDNA 5' end (5'-RACE) analysis was completed using the FirstChoice RLM-RACE Kit (Ambion) with the following modifications. Firstly, approximately 250ng of mRNAs was treated with the Tobacco
Acid Pyrophosphatase provided by the FirstChoice RLM-RACE Kit prior to adaptor ligation. Secondly, a shuT specific primer and SuperScript III Reverse Transcriptase
(Invitrogen) were used to generate shuT specific cDNA separately from adaptor-ligated
RNA (experiment group) and RNA without adaptors (control group), which were then used as the templates for PCR amplification. The first round of PCR amplification was performed using the outer primer pair that binds within shuT and to the 5' region of the adaptor sequence (Table 3). Amplified products that were present in the experiment group and absent in the control group were gel purified and used as the templates for a second round of PCR. The second PCR round was completed to increase the specific amplification of shuT using the inner primer pair: an upstream primer that binds to shuT at a location upstream to that bound by the primer used in the first amplification and a downstream primer that binds to the 3' region of the adaptor sequence (Table 3). Lastly, the amplified products of the second round of PCR were purified by gel extraction and 66 ligated directly into the plasmid pGEM-T easy (PROMEGA, Madison, MI) for nucleic acid sequencing.
2.3.7 Beta-galactosidase assay
The Miller method was used to complete all beta-galactosidase analyses (Ausubel et al, 1995; Miller, 1992.). Briefly, S. dysenteriae containing a given reporter plasmid
(pT-lacZ) or pMic21 control vector was cultured at 37°C to stationary-phase in 3ml LB broth and then sub-cultured in 3ml LB broth to the logarithmic-phase (OD600: 0.28-0.7) at
37°C. 30 (µg ml-1) Chloramphenicol was added to each culture to ensure maintenance of the reporter or control plasmid. Following incubation of each culture on ice for 20 minutes, bacteria present in 1ml of the culture were pelleted by centrifuging at 5,000g for
5 minutes. Next, each bacterial cell pellet was resuspended in 1ml Z buffer (0.06M
Na2HPO4, 0.04M NaH2PO4, 0.01M KCl, 0.001M MgSO4, 0.05M β-mercaptoethanol, pH
7.0) and the OD600 measured using a ND-1000 spectrophotometer (NanoDrop
Technologies, Wilmington, DE). Next, 400µl of the resuspended cells was diluted 1:1 with Z buffer and the bacterial cells permeabilized by the addition of 50µl 0.1% SDS and
100µl chloroform prior to vortexing for 10 seconds. Following incubation at 30˚C for 15 minutes, 160µl of 4 (mg ml-1), Ortho-Nitrophenyl-β-galactopyranoside (ONPG) was added to each sample and the incubated at 37˚C until the sample developed a visible yellow color. Once a given sample developed a detectable yellow color, the time of incubation was noted, 400µl of 1M Na2CO3 was added to stop the reaction and the sample was subjected to centrifugation at maximum speed for 2 minutes. The supernatant 67 of each sample was then collected and the OD420 and OD550 measured using the ND-1000 spectrophotometer (NanoDrop Technologies, Wilmington, DE). Miller units were calculated using the following equation: - =