Literature DB >> 24921931

σ(ECF) factors of gram-positive bacteria: a focus on Bacillus subtilis and the CMNR group.

Bianca Mendes Souza1, Thiago Luiz de Paula Castro1, Rodrigo Dias de Oliveira Carvalho1, Nubia Seyffert1, Artur Silva2, Anderson Miyoshi1, Vasco Azevedo1.   

Abstract

The survival of bacteria to different environmental conditions depends on the activation of adaptive mechanisms, which are intricately driven through gene regulation. Because transcriptional initiation is considered to be the major step in the control of bacterial genes, we discuss the characteristics and roles of the sigma factors, addressing (1) their structural, functional and phylogenetic classification; (2) how their activity is regulated; and (3) the promoters recognized by these factors. Finally, we focus on a specific group of alternative sigma factors, the so-called σ(ECF) factors, in Bacillus subtilis and some of the main species that comprise the CMNR group, providing information on the roles they play in the microorganisms' physiology and indicating some of the genes whose transcription they regulate.

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Keywords:  Bacillus subtilis; Corynebacterium; ECF; Mycobacterium; sigma factor; stress response; transcription regulation

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Year:  2014        PMID: 24921931      PMCID: PMC4105308          DOI: 10.4161/viru.29514

Source DB:  PubMed          Journal:  Virulence        ISSN: 2150-5594            Impact factor:   5.882


Introduction

Bacteria are frequently exposed to a range of different circumstances in which the activation of adaptive mechanisms is essential for cell maintenance and survival. The modulation of such activity is intricately driven through gene regulation, involving diverse events at the transcriptional, translational, and posttranslational levels. Thus, transcription initiation could be considered the major step in the control of bacterial genes.- In its inactive state, RNAP consists of only its core, which is formed by the subunits α2, β, β’, and ω, whereas in association with a sigma factor, the core transiently becomes an RNAP holoenzyme, whose function is to transcribe DNA into RNA.,- In association with the core RNAP, the sigma factors provide a dynamic mechanism for cellular responses performed through redirecting transcription initiation., Not only do these factors include many, if not all, of the determinants of promoter recognition,,, they also contribute to DNA strand separation during the initiation of transcription., Because these proteins preferentially recognize specific promoters in the genome, the generation of distinct combinations of several of these proteins with RNAP provides an effective means of modulating transcription profiles,, altering the expression of large groups of genes, or regulons, in response to various environmental stimuli, and changing extracellular and/or intracellular conditions in accord with the physiological requirements of the organism. In some cases, the genes that constitute a specific regulon have a clearly defined primary function, such as those regulated by the sporulation sigma factors of B. subtilis,, while in other cases, these genes contribute to multiple processes, such as those related to the stationary phase of growth and general stress response regulated by the alternative sigma factor σB in Listeria monocytogenes., In the case of bacterial pathogens in particular, the mechanism of changing sigma factors regulates the expression of virulence genes, encoding proteins whose functions are essential for the bacterium to effectively establish an infection, and virulence-associated genes, which contribute to survival in the host and other environments. Most of the sigma factors are not essential for cell viability under optimum growth conditions, and they are therefore referred to as alternative sigma factors. Their functions typically encompass the recognition of the promoters of genes that become active in response to specific stimuli,,, such as various stress conditions, in the stationary growth phase, during starvation for various nutrients, and during morphological differentiation. Nevertheless, bacteria (mainly the rapidly growing strains) usually exhibit a single primary sigma factor that is responsible for the transcription of genes required for basic survival, referred to as housekeeping genes.,, The number of alternative sigma factors present in a bacterium may range from two, as in Streptococcus pyogenes, a gram-positive bacterium whose habitat is restricted to the human oropharynx, to more than 60, as in Streptomyces coelicolor, a soil bacterium whose habitat, unlike that of S. pyogenes, is highly variable in terms of nutrients, stresses, and competing microbial flora. In general, bacterial species that have developed differentiation programs, such as sporulation, present higher ratios of alternative sigma factor-encoding genes per a given length of the genome than those that are obligate pathogens or commensal species.,,

Overview of the Classification of Bacterial Sigma Factors

Bacterial sigma factors can be primarily classified into two structurally, functionally, and phylogenetically distinct families, designated σ54 and σ70.,,,,, The sigma factors of the σ54 family are structurally similar to the 54 kDa sigma factor of Escherichia coli, which drives the transcription of genes related to the metabolism of nitrogen in an ATP-dependent manner and requires the activity of a specific enhancer. They are considered relatively rare, as there no representatives of this family have been found in any GC-rich gram-positive bacterium or cyanobacterium.,,, On the other hand, the sigma factors of the σ70 family, which are structurally similar to the 70 kDa primary sigma factor of E. coli, have been found in all bacterial species studied to date.,, In addition to the primary transcriptional regulators, this family includes their related alternative sigma factors, which can be further categorized according to the physiological processes they control., Generally, groupings by function are correlated with the phylogenetic relationships among sigma factor protein sequences,, and under this kind of classification, it can be noted that the sigma factors of the σ70 family are modular proteins, that consist of up to four conserved regions,,,, which can be divided into subregions. Region 1 lies in the N-terminal portion of the protein and comprises subregions 1.1 and 1.2, with the former being responsible for preventing other sigma factors that are not associated with RNAP from binding to the target DNA. Region 2 consists of four subregions, 2.1, 2.2, 2.3, and 2.4, where 2.3 is involved in the formation of the transcription bubble, and 2.4 is required for the recognition of the −10 promoter element. Region 3, in turn, consists of subregions 3.0, 3.1, and 3.2, with 3.0 being implicated in the recognition of the extended −10 promoter element. Lastly, region 4 includes subregions 4.1 and 4.2, the latter of which is capable of interacting with various transcription activators and is required for the recognition of the −35 promoter element (Fig. 1).,,,,- All regions participate in the interaction between sigma factors and core RNAP.,,

Figure 1. Schematic representation of the structure of the four known groups of sigma factors, emphasizing the four conserved regions that each factor may present and their interactions with the promoter region. Subregion 1.1, which belongs to region 1 (represented in red), is responsible for preventing sigma factors that are not bound to the RNAP from binding to DNA and accelerating the open complex at some promoters. Subregions 2.3 and 2.4, which belong to region 2 (represented in green), are involved in the formation of the transcription bubble and required for the recognition of the −10 promoter element, respectively. Subregion 3.0, which belongs to region 3 (represented in blue), is implicated in the recognition of the extended −10 promoter element. Subregion 4.2, which belongs to region 4 (represented in purple) is responsible for interacting with various transcription activators, in addition to being required for the recognition of the −35 promoter element., The arrows between the sigma factor and the promoter region of a gene represent the interactions between the former and the latter. The dashed arrow represents the interaction of subregion 2.3 with single-stranded DNA in the open complex.

Figure 1. Schematic representation of the structure of the four known groups of sigma factors, emphasizing the four conserved regions that each factor may present and their interactions with the promoter region. Subregion 1.1, which belongs to region 1 (represented in red), is responsible for preventing sigma factors that are not bound to the RNAP from binding to DNA and accelerating the open complex at some promoters. Subregions 2.3 and 2.4, which belong to region 2 (represented in green), are involved in the formation of the transcription bubble and required for the recognition of the −10 promoter element, respectively. Subregion 3.0, which belongs to region 3 (represented in blue), is implicated in the recognition of the extended −10 promoter element. Subregion 4.2, which belongs to region 4 (represented in purple) is responsible for interacting with various transcription activators, in addition to being required for the recognition of the −35 promoter element., The arrows between the sigma factor and the promoter region of a gene represent the interactions between the former and the latter. The dashed arrow represents the interaction of subregion 2.3 with single-stranded DNA in the open complex. Depending on their structure and function, the sigma factors of the σ70 family can be categorized into four distinct groups. The first group (group 1) is composed of the “primary sigma factors”, which present all four above-mentioned regions and are essential for bacterial survival, as they mainly control the transcription of housekeeping genes (Fig. 1).,,,,,, The second group (group 2) is composed of the “primary-like sigma factors”, which are closely related to the group 1 sigma factors but are not essential for survival under optimal growth conditions. They do not carry most of region 1 in their structure (Fig. 1). The best-characterized factors in this group are involved in the transcription of general stress response genes and genes that are required for late stationary growth in vitro. Nevertheless, these sigma factors are found in a limited number of bacteria, such as Proteobacteria, Cyanobacteria, and gram-positive species with high G+C content in their genomes.,,,,, The third group (group 3) is composed of regulators that are more distantly related to the primary sigma factors, presenting only the conserved regions 2, 3, and 4 in their structure (Fig. 1). The sigma factors that belong to this group generally control the transcription of genes involved in the heat shock response, sporulation, and flagellar biosynthesis.,,,, Finally, the fourth group (group 4) is the largest and most heterogeneous among the σ70 family-related groups. The “extracytoplasmic function sigma factors (σECF)” that constitute group 4 are characterized by the presence of only regions 2 and 4 in their structure (Fig. 1). These factors contribute to controlling the expression of genes whose products exert various functions in the bacterial response to specific extracellular signals and surrounding modifications, such as the presence of denatured proteins or toxic molecules, changes in osmolality or barometric pressure, nutrient limitation, and oxidative and other surface stresses. Additionally, several sigma factors that belong to this group are involved in the regulation of components that are important for virulence in pathogenic bacteria.,,,,,-

Posttranslational Regulation of Bacterial Sigma Factors

To achieve appropriate control of gene expression, bacteria are able to modulate the activity of alternative sigma factors, in accord with their needs., The regulation of such transcriptional factors therefore constitutes a key component of eliciting adequate responses to specific external stimuli. The alternative sigma factors are regulated at the transcriptional, translational, and posttranslational levels. Transcriptional regulation is made possible mainly by the fact that a given sigma factor-encoding gene may have one or more upstream promoters that are recognized by different sigma factors and/or the sigma factor it encodes. On the other hand, translational regulation is often accomplished through the action of factors that can either allow or inhibit the translation of a specific sigma factor’s mRNA. Interestingly, some specific promoters in sigma factor genes lead to the synthesis of leaderless mRNAs, which are preferentially translated by 70S ribosomes (abundant under adverse conditions such as carbon starvation, stationary growth, and slow growth). Lastly, posttranslational regulation relies on the action of anti-sigma factors, which are constituents of a partner-switching system, in which the interaction between an anti-sigma factor and its cognate sigma factor prevents the latter from binding to the core RNAP. Interaction with an anti-sigma factor inhibits the sigma factor’s influence on gene expression profiles until the appropriate stimulus is detected by the bacterium. The anti-σECF factors are inner membrane proteins with at least one transmembrane domain. In contrast to their C-terminal region, the N-terminal region of anti-sigma factors is highly conserved. These characteristics are not without a purpose: the N-terminal region is located in the cytoplasm, where the anti-sigma factor interacts specifically with its cognate sigma factor, whereas the C-terminal region is projected to the periplasm, where it can interact with a sensor protein. When a specific stimulus is sensed, the sensor protein modifies the C-terminal portion of anti-σECF, causing changes in its structural conformation and allowing cleavage by the site-1 protease. Once cleaved, anti-σECF becomes a substrate for the site-2 protease, which cleaves within or near the transmembrane region. Finally, the N-terminal portion of anti-σECF, still bound to the σECF factor, is released and then degraded by cytoplasmic proteases. Thus, the inhibition of the sigma factor is abolished, and the genes constituting the regulon are transcribed (Fig. 2). However, the transcription of such genes only lasts while the sensor protein is still able to sense the external stimulus, and once the signal ceases, the regulation cycle is reinitiated.,

Figure 2. Schematic representation of the posttranslational regulation of σECF factors from gram-positive bacteria. (A) When no stimulus is sensed by the sensor protein (not represented), the anti-σECF factor sequesters its cognate σECF factor, inhibiting the sigma factor's activity. (B) When a stimulus is sensed by the sensor protein, it interacts with the C-terminal portion of the anti-σECF factor, modifying the anti-sigma factor’s structural conformation. This, in turn, allows the site-1 protease to cleave the anti-sigma factor near its C-terminus. (C) Once the anti-σECF factor is cleaved by the site-1 protease, it becomes a substrate for the site-2 protease, which cleaves the anti-sigma factor within or near its transmembrane region. (D) The N-terminal portion of the anti-σECF factor, still bound to the σECF factor, is released into the cytoplasm, where it is degraded by cytoplasmic proteases. (E) The inhibition of the σECF factor is abolished, and the genes that constitute its regulon are transcribed.,

Figure 2. Schematic representation of the posttranslational regulation of σECF factors from gram-positive bacteria. (A) When no stimulus is sensed by the sensor protein (not represented), the anti-σECF factor sequesters its cognate σECF factor, inhibiting the sigma factor's activity. (B) When a stimulus is sensed by the sensor protein, it interacts with the C-terminal portion of the anti-σECF factor, modifying the anti-sigma factor’s structural conformation. This, in turn, allows the site-1 protease to cleave the anti-sigma factor near its C-terminus. (C) Once the anti-σECF factor is cleaved by the site-1 protease, it becomes a substrate for the site-2 protease, which cleaves the anti-sigma factor within or near its transmembrane region. (D) The N-terminal portion of the anti-σECF factor, still bound to the σECF factor, is released into the cytoplasm, where it is degraded by cytoplasmic proteases. (E) The inhibition of the σECF factor is abolished, and the genes that constitute its regulon are transcribed., One well-studied example of this type of posttranslational regulation involves B. subtilis σW and its cognate anti-sigma factor, RsiW. In the absence of a stimulus, RsiW binds to σW and inhibits its activity. In the presence of a stimulus, the site-1 protease PrsW and other unidentified proteases cleave RsiW near its C-terminus. Then, the site-2 protease RasP cleaves RsiW within its transmembrane region, releasing the N-terminal portion of RsiW into the cytoplasm. Finally, either the ClpXP or ClpCP protease degrades RsiW, thus allowing activation of σW. Another example concerns Mycobacterium tuberculosis σE and its cognate anti-sigma factor, RseA. Barik et al. demonstrated for the first time that the σE-RseA interaction is regulated by distinct mechanisms under specific stress conditions, with different pathways of RseA degradation being observed when the microorganism is exposed to cell-surface stresses. In this case, proteolytic degradation is triggered by RseA, which is phosphorylated by PknB, one of the best-studied serine/threonine kinases found in mycobacteria. Additionally, Barik et al. suggested that the RseA degradation pathway consists of two positive feedback loops. After being released into the cytoplasm, RseA is ultimately degraded by the protease ClpC1P2. Free σE induces the transcription of its regulon, which includes the gene that encodes ClgR. This transcriptional regulator, in turn, induces the transcription of the clp regulon and ppk1, which is the gene that encodes the enzyme responsible for polyphosphate (polyP) biosynthesis. Consequently, increased amounts of ClpC1P2 lead to more efficient degradation of RseA and to a higher concentration of free σE in the cell (first positive feedback loop). Also, it appears that increased amounts of PPK1 lead to a higher concentration of polyP in the cell, stimulating the Two Component System (TCS) MprAB constituent MprA phosphorylation by the other TCS MprAB constituent MprB. Then, phosphorylated MprA binds its consensus sequence upstream of sigE, disabling the P1 promoter and activating the P2 promoter, which results in the synthesis of the major isoform of σE (second positive feedback loop).,

Promoter Recognition by Bacterial Sigma Factors

Distinct sigma factors are capable of recognizing distinct bacterial promoters, which are distributed among sets of genes that are likely to exert correlated functions. Thus, promoters may be considered major components involved in the regulation of gene expression.,, According to studies on several E. coli promoters, the classical prokaryotic promoter consists of a DNA sequence (40–50 bp) that specifies the RNAP binding site located upstream of the transcription start point (TSP). The TSP, which is generally either an adenine or a guanine, occupies the +1 position in the core promoter. The −10 sequence (TATAAT), also known as the Pribnow box, is a highly conserved region centered ~10 bp upstream of the TSP and separated by an interhexameric region of ~17 bp from the −35 sequence (TTGACA), which is centered ~35 bp upstream of the TSP. Additionally, some promoters present a TGN motif located upstream of the −10 sequence (extended −10 sequence) (Fig. 1)., Although the consensus sequences in promoters recognized by the primary sigma factors in other Eubacteria may appear to be similar to the ones in E. coli, there are particular characteristics that contribute to increasing the microorganism’s fitness. In M. tuberculosis, for example, the TSP (+1 position) is usually a guanine preceded by a cytosine (–1 position) and followed by a thymine (+2 position). However, M. tuberculosis is able to use any base as a TSP, even a pyrimidine. Interestingly, this mycobacterium does not share the −35 consensus sequence (TTGACA) found in other bacteria and presents little homology with other mycobacteria. This, in turn, is most likely because different sigma factors recognize different −35 sequences. Nevertheless, promoters with unrecognizable −35 sequences may require the recognition of additional transcriptional activators to initiate transcription. Thus, it has been suggested that in the presence of an unrecognizable −35 sequence, the extended −10 sequence assists RNAP in binding to the promoter, extending its contact with the DNA sequence. Additionally, the TGN motif plays an important part in the determination of promoter strength in mycobacteria. Another example is provided by Corynebacterium glutamicum, whose −10 (TANAAT) and −35 (TTGC/GCA) consensus sequences are quite similar to the −10 and −35 consensus sequences of other eubacterial promoters recognized by the primary sigma factor. However, similar to M. tuberculosis, the nucleotides found in the −35 sequence are much less conserved in C. glutamicum, making it difficult for −35 hexamers to be recognized. Furthermore, similar to M. tuberculosis, additional elements that are not conserved, such as the TGN motif of the extended −10 sequence, may affect promoter activity in C. glutamicum., Whereas the primary sigma factor is usually responsible for the transcription of housekeeping genes, the expression of genes involved in cell adaptation to limited growth conditions, such as the stationary growth phase and exposure to various stresses, is mainly controlled by the alternative sigma factors. Thus, unique characteristics meant to increase the fitness of the cell in such situations are found in the promoters recognized by these sigma factors. For instance, in C. glutamicum, the −10 (C/TGTTG/AA/TA/T) and −35 (G/TGGAAT/CA/T) sequences recognized by the σECF factor σH present a highly conserved core (5′-GGAA-N18–21-GTT-3′) that is also found in the promoters of stress response genes in Mycobacterium and Streptomyces., Most of the genes of a bacterium are transcribed from a single promoter located in the intergenic region upstream of the gene. However, the same gene can be transcribed by more than one promoter, which may be either separated or overlapping, with different efficiencies or under different conditions. These promoters are in turn recognized by an RNAP bound to the same or a different sigma factor. In C. glutamicum, for example, the −10 sequence recognized by the primary-like sigma factor σB is very similar to the −10 sequence recognized by the primary sigma factor σA. This implies that some σA-dependent promoters might also be dependent on σB under specific conditions. Thus, the presence of multiple promoters is important for the fine-tuning of the expression of genes under specific conditions to optimize the mRNA and protein contents of the bacterial cell.,,

Model Gram-Positive Bacterium σECF Factors

The non-pathogenic bacterium B. subtilis is among the best-studied microorganisms and is considered a model for studies on gram-positive bacteria with low G+C contents, which include deadly pathogens, such as Bacillus anthracis, and bacteria that are extensively used in industry, such as other bacilli and lactococci. This endospore-forming bacterium is one of the main sources of industrial enzymes, particularly amylases and proteases, and it is therefore also used to study protein secretion and heterologous protein production. Additionally, along with the model gram-negative bacterium E. coli, B. subtilis was one of the first prokaryotes in which gene regulation studies were performed, the first reports of which date back to the 1960s. This contributed to pioneering studies on transcriptional regulators, such as the sigma factors, in other microorganisms, including those that belong to the CMNR group. B. subtilis, which is found in association with plants, in water sources, and most commonly, in soil, often faces various harsh environmental conditions, such as oxygen and nutrient starvation and thermal, oxidative, and osmotic stresses. Thus, this bacterium has to make use of certain strategies to maintain its viability under such stresses and to ensure its persistence and regrowth in that particular environment. One of these strategies is activation of alternative sigma factors, such as one of its seven σECF factors, σM, σV, σW, σX, σY, σYlaC, and σZ (Table 1).-

Table 1.Bacillus subtilis σECF factors and their corresponding functions

Sigma factorCoding geneFunctionReferences
σMsigM-Response to cell wall antibiotics, heat shock and osmotic, ethanol, acid and superoxide stresses4751
σVsigV-Response to lysozyme stress47 and 53
σWsigW-Response to agents that interfere with the biosynthesis and/or in proper functioning of the cell wall-Detoxification of the bacterium-Synthesis and/or secretion of bacteriocins55 and 56
σXsigX-Control of cell envelope modification processes-Response to heat shock and cationic antimicrobial peptides-Septum and wall synthesis;-Biofilm architecture5860
σYsigY-Production of and resistance to the antibiotic sublancin62
σYlaCylaC-Response to oxidative stress64
σZsigZ-Not yet determined65
The σM factor of B. subtilis is encoded by a gene known as sigM. This gene is part of an operon located upstream of the genes yhdL and yhdK, which in turn encode the anti-σM factor. Because σM is one of the best-studied σECF factors found in B. subtilis, significant progress has been made in defining the functions of this sigma factor. Thus, it has been reported by several research groups that σM contributes to the B. subtilis response to cell wall antibiotics, such as vancomycin, bacitracin and phosphomycin, as well as heat shock and osmotic, ethanol, acidic and superoxide stresses.- Additionally, among the genes that comprise the σM regulon, the most frequently discussed include ponA, which encodes a penicillin-binding protein; bcrC, which encodes a bacitracin resistance protein; yjbD, which appears to be involved in the development of competence; ftsH, which encodes a protease located in the cytoplasmic membrane; yqjL, which encodes a putative hydrolase; yceC, which belongs to the yceCDEFGH detoxification operon and encodes a tellurium resistance protein; yrhJ, which encodes a cytochrome P450/NADPH reductase; yraA, which encodes an intracellular protease PH1704 of Pyrococcus horikoshii homolog that was the first protein found to be essential for acid stress tolerance in this bacterial genus; yacK, which is a class III heat shock protein; and yjbC and yacL, which are members of the heat shock stimulon.- σV, which is one of the least-studied σECF factors found in B. subtilis, is encoded by the sigV gene. This σECF factor is a member of an operon localized upstream of the following genes: rsiV (previously known as yrhM), which encodes the anti-σV factor; oatA (previously known as yrhL), which encodes a peptidoglycan O-acetyltransferase; and yrhK, whose function is still unknown.,, Thus far, only a limited number of studies have described the functions of the σV factor in the physiology of B. subtilis. Nevertheless, it has recently been reported by two different research groups that this σECF factor is strongly and specifically induced by lysozyme, an enzyme that hydrolyzes the β-1,4-glycosidic bond between the N-acetylmuramic acid (MurNAc) and the N-acetyl-glucosamine (GlcNAc) in the peptidoglycan polysaccharide backbone., Additionally, Guariglia-Oropeza and Helmann suggested that σV is the main factor responsible for the B. subtilis response to lysozyme stress because the ΔsigV mutant and a mutant strain with null mutations in all seven σECF factor genes presented almost the same level of sensitivity to the stress in question. The intrinsic ability of B. subtilis to resist to lysozyme exposure is most likely because σV, sometimes along with other σECF factors, is responsible for the upregulation of oatA, which encodes a peptidoglycan O-acetyltransferase; dltA, which is part of the dltABCDE operon, which encodes enzymes for teichoic acid D-alanylation; and, apparently to a lesser extent, pbpX, which is a penicillin-binding protein., The σW factor of B. subtilis, which is also among the best-studied sigma factors in this bacterium, is encoded by the sigW gene, which is located upstream of the rsiW gene, encoding the anti-σW factor. The σW regulon is relatively large and is most frequently induced when the microorganism is exposed to agents that interfere with cell wall biosynthesis and/or in its proper functioning. Thus, σW activates the expression of several genes that play an important role in the detoxification of the bacterium, such as fosB, which encodes a phosphomycin resistance protein; ybfO, which encodes an erythromycin esterase; ydjP, which encodes a bromoperoxidase; yfhM, which encodes an epoxide hydrolase; pbpE, which encodes a penicillin-binding protein; and the already-cited yceC, which is also induced by the σM factor. Additionally, σW can activate the expression of genes that likely participate in the synthesis and/or secretion of bacteriocins, such as ywoA, which encodes a predicted bacteriocin permease; yqeZ and sppA, which encode protease IV homologs; and the yknXYZ operon, which encodes an ABC transporter that is thought to be involved in bacteriocin export., Thus, Cao et al. suggested that the σW factor of B. subtilis controls an “antibiosis” regulon, which includes genes encoding both defensive and offensive components that play a role in the survival of the microorganism. The σX of B. subtilis, which is encoded by the sigX gene, is located upstream of the rsiX gene (previously known as ypuN), which encodes the anti-σX factor. Interestingly, sigX and rsiX are homologous to fecI and fecR from E. coli, the former of which is the σECF factor responsible for activating the transcription of the fecABCDE operon, which encodes the ferric citrate transport genes, while the latter is a transmembrane protein responsible for inducing the transcription of the ferric citrate transport genes when ferric citrate binds to the outer membrane protein FecA. Nevertheless, as the SG64 strain (trpC2, lacR1, and lacA17 genotype) does not use ferric citrate as an iron source, studies have shown that neither sigX nor rsiX is involved in ferric citrate transport in B. subtilis. On the other hand, they appear to be involved in controlling processes related to cell envelope modification, such as resistance to heat shock and to cationic antimicrobial peptides, septum and wall synthesis, and biofilm architecture. The genes that make up the σX regulon include tarA, which is related to the synthesis of poly(RboP), the most important teichoic acid in the W23 strain (prototroph, Strr phenotype); divIC, whose product is required for the initiation of septum formation; lytR, whose product negatively regulates the lytABC operon, where LytC is an amidase; dltABCDE, which encodes enzymes for teichoic acid d-alanylation; csbB, which encodes a membrane-bound glucosyl transferase; rapD, which encodes an aspartate phosphatase response regulator; pssA and psd, which encode enzymes involved in phosphatidylethanolamine (PE) biosynthesis; and abh, whose product is an AbrB homolog that regulates biofilm architecture.- The σY of B. subtilis, which is encoded by the sigY gene, appears to be regulated by the product of the gene yxlC, located immediately downstream of sigY in the sigY-yxlCDEFG operon., The functions of this factor, which is another of the least-studied σECF factors from this bacterium, have not yet been well defined. Nevertheless, Mendez et al. reported that, in addition to regulating the transcription of its own operon, σY is required for maintaining the Spβ prophage, which is a viral genome of 135 Kb that includes genes for the production of and resistance to the antibiotic sublancin and is found in the chromosome of B. subtilis. Thus, it was concluded that, similar to other σECF factors found in B. subtilis, σY is responsible for the regulation of genes that contribute to the survival of the bacterium in regard to the necessity of producing and resisting to the action of antibiotics in a certain environment. The σYlaC of B. subtilis is encoded by a gene known as ylaC, which is located upstream of the ylaD gene (whose product is the probable anti-σYlaC factor) in the ylaABCD operon., This σECF factor, similar to σV and σY, does not have well-defined functions. However, Matsumoto et al. and Ryu et al. have suggested that this sigma factor contributes to B. subtilis resistance to oxidative stress because YlaD is very similar to RsrA, the anti-σR factor of S. coelicolor, which presents several cysteine residues that, in turn, sense the cytoplasmic thiol-disulphide status. Nevertheless, only Ryu et al. were able to show that σYlaC does, in fact, contribute to oxidative stress resistance, as they observed that a strain overproducing this factor exhibited peroxidase activity that was almost three times the activity of the control strain under hydrogen peroxide treatment. Finally, the least-studied σECF factor from B. subtilis, σZ, is encoded by the sigZ gene. Interestingly, in contrast to the other σECF factors found in this bacterium, σZ appears to be monocistronic, and it does not appear to direct its own transcription. Additionally, σZ does not seem to regulate many genes, with gsiB, a proven σB target, and yrpG being the only genes that have been suggested to be possibly activated by this sigma factor.

σECF Factors in the CMNR Group

Within the class Actinobacteria, which is mainly characterized by the high G+C contents of the genomes of its members, there is a group of microorganisms referred to as the CMNR group. This group is in turn characterized by the cell wall organization of its members (based on the presence of a polymer complex composed of peptidoglycans, arabinogalactans, and mycolic acids), which belong to the genera Corynebacterium, Mycobacterium, Nocardia, and Rhodococcus. Nevertheless, it must be highlighted that there are no reports addressing the σECF factors of the bacteria belonging to the Nocardia genus, which is why they were not discussed here.

Corynebacterium σECF factors

Corynebacterium glutamicum

Some of the species that constitute the CMNR group stand out due to their potential to be used as biotechnological tools, such as the C. glutamicum, which has been widely used in the industrial production of several amino acids and nucleic acids. This bacterium, which is a non-pathogenic species of increasing interest as a model organism with closely related pathogenic species, harbors only 5 σECF factors: σC, σD, σE, σH, and σM (Table 2). Of these factors, only σE, σH, and σM have been studied in further detail, whereas no studies on σC have been published thus far. Additionally, there is only one available report that potentially provides hints about the functions of σD, suggesting that this sigma factor contributes to the survival of C. glutamicum under low oxygen concentrations.

Table 2.Corynebacterium σECF factors and their corresponding functions

SpeciesSigma factorCoding geneFunctionReferences
Corynebacterium glutamicumσCsigC-To be elucidated4
σDsigD-Response to microaerobic conditions68
σEsigE-Response to nutritional and cell surface stresses, heat shock, magnesium deficiency, long-term exposure to lactic acid, and microaerobic conditions6871
σHsigH-Response to heat shock and oxidative stress4
σMsigM-Response to heat shock, cold, and oxidative stresses73
Corynebacterium pseudotuberculosisσCsigC-Not yet determined-
σDsigD-Putative role in virulence77
σEsigE-Response to SDS, lysozyme, acid, nitric oxide, and nitric oxide/peroxide stresses78
σHsigH-Not yet determined-
σKsigK-Not yet determined-
σMsigM-Not yet determined-
It has been reported that σE, encoded by the sigE gene, located upstream of cseE, which encodes the anti-σE factor, plays a role in the resistance of C. glutamicum to cell surface stresses, such as those caused by the addition of SDS, lysozyme, EDTA and antibiotics to the culture medium as well as magnesium deficiency and heat. Additionally, it appears that σE contributes to this bacterium’s responses to nutritional stress, long-term exposure to lactic acid and microaerobic conditions.,, It has been demonstrated that the σH of C. glutamicum, which is encoded by the sigH gene, situated upstream of the rshA gene, which appears to encode the anti-σH factor, directly or indirectly regulates the expression of more than 65 genes, including genes that function in the response of this microorganism to heat shock and oxidative stress. Additionally, this sigma factor is involved in the regulation of the transcription of sigB, sigE, sigH, and sigM, which encode alternative sigma factors, and hspR, clgR, sufR, whcA, and whcE, which encode other stress response regulators. Thus, these data suggest that σH occupies a central position in the sigma factors regulatory network, playing a key role in the response of C. glutamicum to several types of environmental stresses. Finally, the σM of C. glutamicum, which is encoded by the sigM gene, takes part in this bacterium’s response to cold, heat and oxidative stresses. In regard to the response of C. glutamicum to disulfide stress, it appears that σM activates the transcription of the suf genes sufR and sufBDCUS, which are involved in the formation of iron-sulfur (Fe-S) clusters and their insertion in proteins; trxB, trxC, and trxB1, which are involved in the cell’s response to thiol-oxidizing conditions; and groES, groEL, and clpB, which encode chaperones. Of particular note, as mentioned above, it has also been suggested that σH activates the transcription of σM when this microorganism is exposed to oxidative stress.

Corynebacterium pseudotuberculosis

C. pseudotuberculosis is a facultative intracellular pathogen that is capable of infecting different types of animals, such as goats, sheep, horses, llamas, buffaloes, camels, antelopes, and primates. Prior to 2005, this bacterium was associated with the occurrence of at least 25 cases of human infection, with the majority of infected people, such as breeders and veterinarians, having had contact with sick animals, which indicates the high occupational zoonotic potential of this bacterium., One of the reasons that C. pseudotuberculosis is able to successfully infect such a wide range of hosts is the transient activation of its sigma factors, including its σECF factors: σC, σD, σE, σH, σK, and σM (Table 2). However, there are no available reports addressing the functions of sigma factors other than σD and σE in this bacterium. After generating growth curves of C. pseudotuberculosis in brain heart infusion (BHI) broth (a rich medium commonly used for culturing this bacterium) and fetal bovine serum (FBS) (a culture medium that mimics the presence of certain host factors, such as serum proteins, hormones, lipids, and vitamins), it was observed that this bacterium presented an increased growth rate when cultured in FBS, indicating that there had been changes in the physiology of C. pseudotuberculosis under those conditions. Thus, to evaluate the differential expression of the genes that encode the alternative sigma factors of this microorganism in the presence of FBS, qRT-PCR (quantitative real-time-polymerase chain reaction) assays were performed. Based on the obtained results, it was possible to observe changes in the expression of the sigB, sigC, sigD, sigE, sigH, sigK, and sigM genes. However, only sigD presented significantly higher transcriptional levels under the tested environmental conditions. This, in turn, indicates that σD represents an important target in the study of the molecular determinants of the virulence of C. pseudotuberculosis. Additionally, it was demonstrated that the σE of C. pseudotuberculosis, encoded by the sigE gene, located upstream of the cseE gene, which in turn, likely encodes the anti-σE factor, plays a role in the resistance of this bacterium to SDS, lysozyme, acid, nitric oxide, and nitric oxide/peroxide stresses. Of particular note, it was also reported that this sigma factor is required for the resistance of C. pseudotuberculosis to nitric oxide stress during infection because, in contrast to the sigE null mutant (ΔsigE), which persists only in the spleens of mice that are unable to produce nitric oxide in their intraphagosomes (iNOS knockout [iNOS−/−] mice), the 1002 wild-type strain persisted in the spleens of C57BL/6 and iNOS−/− mice three days after infection.

Corynebacterium diphtheriae

C. diphteriae secretes the bacteriophage-encoded exotoxin known as diphteria toxin (DT), which is responsible for the characteristic symptoms of diphtheria. This infectious disease, which can be life threatening, has already been controlled in countries such as the United States and Canada, where public health standards require mandatory vaccination. However, small outbreaks of this disease still occur in nonimmunized and immunocompromised people. In contrast, diphtheria remains endemic in South America, Africa, and India, among other countries, even though immunization is relatively widespread. The pathogenesis of diphtheria depends on the ability of C. diphtheriae to colonize the nasopharyngeal cavity and the skin and produce DT. In lysogenic strains, this toxin is encoded by the gene tox, whose transcription is regulated by the repressor protein DtxR. The holoenzyme DtxR (iron-bound form) binds the operator sequence of the tox promoter region, preventing its transcription. The apoenzyme DtxR (the non-iron-bound form), on the other hand, is unable to bind the operator sequence, allowing the transcription of tox. dtxR, the gene that encodes the DtxR protein, is located downstream of sigB, which is predicted to encode a σ70 family primary-like sigma factor, and upstream of galE, which is predicted to encode a UDP-galactose 4-epimerase, and it has been suggested by Oram et al., that sigB and dtxR as well as dtxR and galE are cotranscribed. Additionally, Oram et al. demonstrated that the transcription of sigB-dtxR is induced by acid, cold, heat, ethanol and SDS-caused stresses, which in turn suggests that sigB-dtxR transcription could be activated by the recognition of the promoter upstream of sigB by an σECF factor. Furthermore, the C. diphtheriae genome harbors the genes sigE and sigH, which are predicted to encode the σECF factors σE and σH, respectively, and the promoter upstream of sigB contains sequences that are homologous to the −35 and −10 consensus sequences for σE and σH recognition. Thus, it appears that the transcription of C. diphtheriae sigB-dtxR is regulated by σE and σH in response to environmental conditions that cause changes in the cell envelope.

Mycobacterium σECF factors

Mycobacterium tuberculosis

M. tuberculosis is the main etiologic agent of human tuberculosis (TB), which is an infectocontagious disease that is intimately associated with poverty and occurs mostly in developing countries., It was estimated by the World Health Organization (WHO) that as of the year 2010, almost 9 million people had contracted this disease and approximately 1.5 million people had died from it worldwide. One of the reasons that makes M. tuberculosis such a successful intracellular pathogen is its ability to respond appropriately to the different stresses to which it is subjected once it has infected the host by transiently activating its alternative sigma factors, which include the σECF factors σC, σD, σE, σG, σH, σI, σJ, σK, σL, and σM (Table 3).

Table 3.Mycobacterium tuberculosis’ σECF factors and their corresponding functions

Sigma factorCoding geneFunctionReference
σCsigC-Putative role in virulence8789
σDsigD-Response to nutrient starvation-Promotion of optimum growth at the beginning of infection-Folding of nascent proteins-Roles in ATP biosynthesis, DNA repair, the elongation step of translation, and bacterial virulence90 and 91
σEsigE-Response to heat shock, oxidative stress, vancomycin, and membrane-disrupting agents-Putative role in virulence-Role in fatty acid degradation37 and 9294
σGsigG-Putative role in DNA repair, virulence, and fatty acid metabolism87 and 88
σHsigH-Response to heat shock and oxidative stress-Putative role in virulence97101
σIsigI-Response to heat shock and the drug isoniazid-Role in ATP biosynthesis102
σJsigJ-Putative role in the response to oxidative stress104
σKsigK-To be elucidated105107
σLsigL-Putative role in posttranslational protein modifications and virulence108
σMsigM-Appears to promote successful host-pathogen interactions in the later stages of infection109 and 110
σC of M. tuberculosis, which is encoded by the sigC gene, plays a crucial role in the pathogenicity of this mycobacterium- through regulating the transcription of virulence genes, such as hspX, which encodes an α-crystalline homolog; senX3, which encodes a sensor kinase; mtrA, which encodes a response regulator; and fbpC, which encodes constituent C of the antigen 85 complex, Ag85C. Encoded by the sigD gene, σD appears to be related to the response of M. tuberculosis to nutrient starvation, which is at least partially dependent on the activation of this sigma factor by the ppGpp synthase RelA. Additionally, σD appears to promote the optimum growth of this microorganism at the beginning of infection, playing an important role in the folding of nascent proteins. Furthermore, during the stationary phase of growth, this σECF factor has been suggested to activate the transcription of genes that encode ribosome components and factors that participate in ATP biosynthesis, DNA repair, the elongation step of translation and bacterial virulence, such as atpC and atpD, which encode subunits of a proton-gradient ATP synthase; hns, which encodes a histone-like protein; recR, which encodes a DNA repair enzyme; tsf, fusA and tuf, which are elongation factors; pks10, which encodes a polyketide-like chalcone synthase; fbpA, which encodes constituent A of the antigen 85 complex, Ag85A; and mce1, which encodes a protein that plays a role in the uptake of M. tuberculosis into non-phagocytic cells. σE, which is one of the best-studied σECF factors of M. tuberculosis and is encoded by the sigE gene, appears to be related to the response of this bacterium to heat shock, oxidative stress, vancomycin and membrane-disrupting agents, such as SDS. Additionally, it has been reported that mutants deficient in σE show some difficulty in growing within inactivated murine and human macrophages and are more sensitive to the microbicidal activity of activated murine macrophages.,- Also, this sigma factor appears to regulate the transcription of genes involved in fatty acid degradation, such as aceA, which encodes an isocitrate lyase, and fadB2, which encodes a 3-hydroxyacyl-CoA dehydrogenase; heat shock proteins, such as hsp, which encodes a chaperone, and htpX, which encodes a membrane prenyl-protease; and other transcriptional regulators, such as sigB, which encodes the primary-like sigma factor σB. σG, which is encoded by the sigG gene, is one of the least-studied σECF factors of M. tuberculosis, along with σI and σJ. According to Lee et al., this factor appears to be involved in the response of M. tuberculosis to DNA damage and to directly and/or indirectly regulate genes that play a role in the SOS system, such as lexA, which encodes a repressor of the activity of other genes that take part in this response. However, according to Smollett et al., σG is only part of the RecA-independent regulon and appears to control the transcription of secondary genes that are not directly responsible for the repair of damaged DNA. Nevertheless, this σECF sigma factor has been suggested to directly and/or indirectly regulate genes that are induced in a murine model of infection, such as lat, which encodes an L-lysine-epsilon aminotransferase; genes that play a role in fatty acid metabolism, such as aceA, which encodes an isocitrate lyase that is also part of the σE regulon; fadE5, which encodes an acyl-CoA dehydrogenase; and scoA, which encodes a succinyl-CoA. Additionally, σG appears to be involved in the regulation of genes that are part of the regulons of other transcriptional regulators, such as rpfC, which encodes a resuscitation-promoting factor regulated by σD; clpB, dnaK, which encode heat shock proteins; and trxB2, which encodes a thioredoxin reductase, regulated by σH. The alternative sigma factor σH, which is encoded by the sigH gene, plays an important role in the response of M. tuberculosis to heat shock and oxidative stress- and presents increased transcriptional levels during macrophage infection in vitro., This factor appears to regulate the transcription of genes involved in the heat shock response, such as dnaK and clpB, which encode heat shock proteins/chaperones; genes involved in the response to oxidative stress, such as trxB2, which encodes a thioredoxin reductase, and trxC, which encodes a thioredoxin; and other transcriptional regulators involved in the response to the same stresses, such as sigB, which encodes the primary-like sigma factor σB, and sigE, which encodes the alternative sigma factor σE. Additionally, infection of resistant (C57BL/6) and sensitive (C3H) mice with the wild-type and mutant (ΔsigH) strains of M. tuberculosis showed that the former presents increased immunopathology compared with the latter, which appears to be due to the reduced recruitment of T CD4+ and CD8+ cells by the mutant strain. This result in turn suggests that the σH regulon is required for the modulation of the host innate immune response against M. tuberculosis. σI, one of the least-studied σECF factors of M. tuberculosis, is encoded by the sigI gene. This sigma factor, which appears to directly or indirectly regulate the transcription of the genes encoding an ATP synthase (Rv1304), heat shock proteins (Rv0440, Rv0350, and Rv3417), and the catalase/peroxidase KatG, appears to play a role in the response of this microorganism to isoniazid (INH), which is one of the drugs that are commonly used in the treatment of tuberculosis. However, in contrast to what is usually observed, it is the ΔsigI mutant strain, not the wild-type strain, that is resistant to the antibiotic. In fact, this phenomenon arises when the absence of σI contributes to decreasing the transcription of the katG gene, which encodes the catalase/peroxidase KatG. The reduced levels of this enzyme, in turn, contribute to the decreased activation of INH, and there is therefore a reduction of the inhibition of the enoyl-ACP reductase InhA, which is necessary for mycolic acid biosynthesis. It is also noteworthy that the mutant strain was found to be hypervirulent in a mouse in model of tuberculosis when compared with the wild-type strain. According to Hu and Coates, the sigJ gene, which encodes the poorly studied factor σJ, showed strongly increased transcription in M. tuberculosis cultures in the late stationary phase, whereas the level of sigJ transcription was not altered when the antibiotic rifampicin was added to the medium. Thus, at that time, it was concluded that the σJ factor appeared to be important for the bacterium’s survival in the stationary phase, even in the presence of antibiotics. However, a few years later, the same research group showed that in an in vitro microaerophilic model, the survival of the ΔsigJ mutant strain was similar to the survival of the wild-type strain. Additionally, it was demonstrated that even when rifampicin was added, the viability of the two strains remained the same. Furthermore, it was shown that the growth of the wild-type and mutant strains was similar in an immune stasis murine model. Thus, it was concluded that σJ did not contribute to M. tuberculosis survival in the stationary phase of growth in either the presence or the absence of antibiotics. Interestingly, it was also concluded that the ΔsigJ mutant strain was more sensitive to oxidative stress caused by hydrogen peroxide (H2O2) than the wild-type strain. The σK factor of M. tuberculosis, encoded by the sigK gene, whose activity is regulated by the anti-σK factor RskA, exhibits a relatively small regulon compared with the regulons of the other σECF factors. σK regulates genes at the sigK and mpt70/mpt83 loci. However, in M. tuberculosis, the transcription of the Mpt70 and Mpt83 proteins, whose functions are still unknown, only increases during infection, and in Mycobacterium bovis, the transcription of these proteins is constitutively high due to two mutations in the gene encoding the anti-σK factor, rskA.- σL, which is encoded by the sigL gene, does not appear to be a stress response regulator like the other σECF factors of M. tuberculosis. Instead, it has been suggested to regulate the transcription of genes that play a role in polyketide-lipid synthesis and genes that encode membrane-associated proteins that, in turn, are involved in posttranslational protein modifications. In fact, this σECF factor exhibits a relatively small regulon that comprises four small operons: sigL-rslA, which encode the σL and anti-σL factors; mpt53-Rv2877c, which encode a disulfide oxidoreductase and a thiol disulfide; pks10-pks7, which encode a type III polyketide synthase and a multifunctional enzyme; and Rv1139c-Rv1138c, which encode an oxidoreductase and a membrane protein with an isoprenylcysteine carboxylmethyltransferase motif. Additionally, it is possible that σL regulates four PE-PGRS genes indirectly. Furthermore, it is noteworthy that the ΔsigL strain is highly attenuated in an in vivo mouse model of infection. This finding, together with the data presented above, indicates that σL likely contributes to M. tuberculosis pathogenicity. σM, the last σECF factor of M. tuberculosis, is encoded by the gene sigM. This sigma factor appears to positively regulate genes such as those encoding the ESAT-6-like proteins esxU-esxT and esxE-esxF, which are members of the PPE protein family, and a nonribosomal peptide synthase. Additionally, it has been suggested to negatively regulate genes including some genes involved in phthiocerol dimycocerosate (PDIM) synthesis and the kasA-kasB operon, which is related to mycolic acid synthesis., However, according to Agarwal et al., the transcripts of the genes regulated by σM accumulate at relatively low levels only during the stationary phase of growth and when the bacterium is subjected to heat shock. Additionally, a ΔsigM mutant strain showed the same behavior as the wild-type strain in an in vitro macrophage infection and an in vivo mouse infection. Thus, in accordance with Raman et al., it is likely that σM is one of the transcriptional regulators responsible for promoting successful host-pathogen interactions in the later stages of infection.

Rhodococcus σECF factors

Rhodoccocus equi

R. equi is a facultative intracellular respiratory pathogen that causes the life-threatening pyogranulomatous pneumonia in foals, causing considerable economic losses to the equine industry. However, it is also capable of infecting pigs, goats, cattle and immunocompromised humans. Thus, this disease presents challenges regarding its epidemiology and therapeutic control due to the complexity of this pathogen, which is not yet fully understood, and the environmental interactions that contribute to the disease process. The pathogenicity of R. equi depends on its ability to survive and replicate in the intracellular environment of the host cell, which is partly due to the presence of 80–90 kb plasmids, including virulence-associated protein (vap)-encoding genes on a pathogenicity island (PI) that are essential for intracellular replication and virulence., However, bacterial isolates from immunocompromised humans and animals usually lack these plasmids, showing that virulence is not only plasmid associated. Because most of the chromosomal genes required for this microorganism's virulence are unknown, Raman et al. developed a microarray to identify such genes that are differentially expressed within macrophages and under conditions that mimic the intra-macrophage environment. Interestingly, one of the chromosomal genes that was significantly induced under both experimental conditions was sigK, which is the gene that encodes the σECF factor σK.

Conclusion

A large part of bacterial versatility is due to the functions of bacterial sigma factors, which act as positive and/or negative regulators of gene transcription. The σECF factors, in special, stand out for their ability to make possible the adaptation of the microorganisms to changes in the surrounding environments. However, one of the most noteworthy characteristics of sigma factors is the complexity of their regulatory networks. For example, in M. tuberculosis, σB can be transcribed by RNAPs bound to four distinct sigma factors, three of which recognize the same promoter: σE is involved in the basal expression of sigB and in its induction during surface stress; σH is involved in the induction of sigB and sigE as well as its own induction during oxidative stress and heat shock; σF and σL are involved in the induction of sigB and in their own induction under as yet unknown conditions. Additionally, σE, σH, σF, and σL are regulated by their cognate anti-sigma factors, with anti-σF being further regulated by two specific anti-anti-σF factors. Thus, elucidation of the specific stimuli that activate the σECF factors as well as the genes whose expression they regulate and the associated regulatory networks would contribute to a better understanding of the overall modulation of gene expression and, hence, of the physiology of these microorganisms. Additionally, it may assist the identification of new bacterial strains with biotechnological potential and/or about how to improve the capabilities of the currently used strains, such as those of B. subtilis and C. glutamicum. Finally, the understanding of the sigma factors and their regulatory networks largely benefits the research on pathogenic bacteria, such as C. diphtheriae, C. pseudotuberculosis, M. tuberculosis, and R. equi, facilitating the identification of virulence factors, which could be used as targets for prophylaxis (e.g., vaccine generation), therapies, and diagnostics. Moreover, the outstanding diversity in the underexplored CMNR group certainly provides a rewarding challenge for those willing to better understand the functions of sigma factors and their associated regulation networks.
  109 in total

Review 1.  Bacterial RNA polymerases: the wholo story.

Authors:  Katsuhiko S Murakami; Seth A Darst
Journal:  Curr Opin Struct Biol       Date:  2003-02       Impact factor: 6.809

Review 2.  Multiple sigma subunits and the partitioning of bacterial transcription space.

Authors:  Tanja M Gruber; Carol A Gross
Journal:  Annu Rev Microbiol       Date:  2003       Impact factor: 15.500

3.  An integrated regulatory network including two positive feedback loops to modulate the activity of sigma(E) in mycobacteria.

Authors:  Riccardo Manganelli; Roberta Provvedi
Journal:  Mol Microbiol       Date:  2009-12-16       Impact factor: 3.501

4.  Identification of Mycobacterium tuberculosis RNAs synthesized in response to phagocytosis by human macrophages by selective capture of transcribed sequences (SCOTS).

Authors:  J E Graham; J E Clark-Curtiss
Journal:  Proc Natl Acad Sci U S A       Date:  1999-09-28       Impact factor: 11.205

5.  Mutations in Mycobacterium tuberculosis Rv0444c, the gene encoding anti-SigK, explain high level expression of MPB70 and MPB83 in Mycobacterium bovis.

Authors:  Battouli Saïd-Salim; Serge Mostowy; Arnold S Kristof; Marcel A Behr
Journal:  Mol Microbiol       Date:  2006-10-25       Impact factor: 3.501

6.  In vitro and intra-macrophage gene expression by Rhodococcus equi strain 103.

Authors:  Md Tanvir Rahman; Valeria Parreira; John F Prescott
Journal:  Vet Microbiol       Date:  2005-09-30       Impact factor: 3.293

7.  Construction and characterization of transposon insertion mutations in Corynebacterium diphtheriae that affect expression of the diphtheria toxin repressor (DtxR).

Authors:  Diana Marra Oram; Ana Avdalovic; Randall K Holmes
Journal:  J Bacteriol       Date:  2002-10       Impact factor: 3.490

8.  Mycobacterium tuberculosis ECF sigma factor sigC is required for lethality in mice and for the conditional expression of a defined gene set.

Authors:  Ronggai Sun; Paul J Converse; Chiew Ko; Sandeep Tyagi; Norman E Morrison; William R Bishai
Journal:  Mol Microbiol       Date:  2004-04       Impact factor: 3.501

9.  Reduced immunopathology and mortality despite tissue persistence in a Mycobacterium tuberculosis mutant lacking alternative sigma factor, SigH.

Authors:  Deepak Kaushal; Benjamin G Schroeder; Sandeep Tyagi; Tetsuyuki Yoshimatsu; Cherise Scott; Chiew Ko; Liane Carpenter; Jyoti Mehrotra; Yukari C Manabe; Robert D Fleischmann; William R Bishai
Journal:  Proc Natl Acad Sci U S A       Date:  2002-06-11       Impact factor: 11.205

Review 10.  Corynebacterium diphtheriae: genome diversity, population structure and genotyping perspectives.

Authors:  Igor Mokrousov
Journal:  Infect Genet Evol       Date:  2008-10-19       Impact factor: 3.342

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  11 in total

Review 1.  Bacillus subtilis extracytoplasmic function (ECF) sigma factors and defense of the cell envelope.

Authors:  John D Helmann
Journal:  Curr Opin Microbiol       Date:  2016-02-20       Impact factor: 7.934

2.  Deciphering the essentiality and function of the anti-σM factors in Bacillus subtilis.

Authors:  Heng Zhao; Daniel M Roistacher; John D Helmann
Journal:  Mol Microbiol       Date:  2019-03-13       Impact factor: 3.501

Review 3.  Diversity, versatility and complexity of bacterial gene regulation mechanisms: opportunities and drawbacks for applications in synthetic biology.

Authors:  Indra Bervoets; Daniel Charlier
Journal:  FEMS Microbiol Rev       Date:  2019-05-01       Impact factor: 16.408

4.  Transcriptome analysis of cyst formation in Rhodospirillum centenum reveals large global changes in expression during cyst development.

Authors:  Qian Dong; Carl E Bauer
Journal:  BMC Genomics       Date:  2015-02-13       Impact factor: 3.969

5.  Identification of Differentially Expressed Genes during Bacillus subtilis Spore Outgrowth in High-Salinity Environments Using RNA Sequencing.

Authors:  Katja Nagler; Antonina O Krawczyk; Anne De Jong; Kazimierz Madela; Tamara Hoffmann; Michael Laue; Oscar P Kuipers; Erhard Bremer; Ralf Moeller
Journal:  Front Microbiol       Date:  2016-10-06       Impact factor: 5.640

6.  The Bacillus Subtilis K-State Promotes Stationary-Phase Mutagenesis via Oxidative Damage.

Authors:  Holly A Martin; Amanda A Kidman; Jillian Socea; Carmen Vallin; Mario Pedraza-Reyes; Eduardo A Robleto
Journal:  Genes (Basel)       Date:  2020-02-11       Impact factor: 4.096

Review 7.  Disentangling competence for genetic transformation and virulence in Streptococcus pneumoniae.

Authors:  Jingjun Lin; Luchang Zhu; Gee W Lau
Journal:  Curr Genet       Date:  2015-09-24       Impact factor: 3.886

8.  Mapping the CgrA regulon of Rhodospirillum centenum reveals a hierarchal network controlling Gram-negative cyst development.

Authors:  Qian Dong; Mingxu Fang; Sugata Roychowdhury; Carl E Bauer
Journal:  BMC Genomics       Date:  2015-12-16       Impact factor: 3.969

9.  Glucose Induces ECF Sigma Factor Genes, sigX and sigM, Independent of Cognate Anti-sigma Factors through Acetylation of CshA in Bacillus subtilis.

Authors:  Mitsuo Ogura; Kei Asai
Journal:  Front Microbiol       Date:  2016-11-29       Impact factor: 5.640

10.  LytTR Regulatory Systems: A potential new class of prokaryotic sensory system.

Authors:  Zhengzhong Zou; Hua Qin; Amanda E Brenner; Rahul Raghavan; Jess A Millar; Qiang Gu; Zhoujie Xie; Jens Kreth; Justin Merritt
Journal:  PLoS Genet       Date:  2018-10-08       Impact factor: 5.917

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