Abstract
The foodborne gram-negative pathogen Salmonella must adapt to varied environmental conditions encountered within foods, the host gastrointestinal tract and the phagosomes of host macrophages. Adaptation is achieved through the coordinate regulation of gene expression in response to environmental signals such as temperature, pH, osmolarity, redox state, antimicrobial peptides, and nutrient deprivation. This review will examine mechanisms by which the integration of regulatory responses to a broad array of environmental signals can be achieved. First, in the most straightforward case, tandem promoters allow gene expression to respond to multiple signals. Second, versatile sensor proteins may respond to more than one environmental signal. Third, transcriptional silencing and counter-silencing as demonstrated by the H-NS paradigm provides a general mechanism for the convergence of multiple regulatory inputs. Fourth, signaling cascades allow gene activation by independent sensory elements. These mechanisms allow Salmonella to utilize common adaptive stress pathways in response to a diverse range of environmental conditions.
Coordinate and Integrated Regulation of Gene Expression
Salmonella enterica is a foodborne pathogen that poses a worldwide challenge to food safety. Despite intensive efforts, large outbreaks and millions of cases of salmonellosis continue to occur each year (Majowicz et al., 2010).
Salmonella must withstand a range of environmental conditions as the microbe travels between food sources, animal intestinal tracts and the intracellular environment of host phagocytes. To respond to these changing environments, Salmonella senses and responds to a variety of signals including temperature, pH, and osmolarity. Within a host, bacteria may also encounter antimicrobial peptides, nitrosative and oxidative stress, and nutrient deprivation. The ability to adapt rapidly to environmental change is essential for Salmonella survival and virulence, and both stress responses and virulence genes are expressed in response to environmental signals.
Environmental signals trigger changes in gene expression via a variety of mechanisms. Common mechanisms of transcriptional regulation in bacteria include two-component regulatory systems, alternative sigma factors, and transcriptional repressors. Coordinate regulation allows the simultaneous expression of multiple genes in response to a single environmental stimulus (Miller et al., 1989). Transcription and gene expression is dependent on RNA polymerase, which in bacteria is composed of five subunits: αI, αII, β, β’, and ω. In order to efficiently bind to promoters and initiate transcription, RNA polymerase interacts with a σ factor to form a holoenzyme (Borukhov and Nudler, 2003). The σ factor dissociates from RNA polymerase following the initiation of transcription. In Salmonella, σD (σ70) is responsible for the expression of housekeeping genes during normal growth. Five alternative sigma factors designated σE (σ24), σF (σ28), σH (σ32), σS (σ38), and σN (σ54) are activated during stress or changes in growth conditions (Gruber and Gross, 2003). For example, σS regulates a general stress response by activating up to 500 genes during starvation and in response to a host of other environmental changes (Hengge, 2009). Because alternative sigma factors may control the expression of large groups of genes, they provide an effective means for the cell to rapidly effect major changes in gene expression.
Two-component signal transduction systems (TCS), composed of sensors and transcriptional regulators, are used by bacteria to respond to changes in environment (Beier and Gross, 2006). The sensor is classically a membrane bound histidine protein kinase that undergoes autophosphorylation when activated by environmental signals (Stock et al., 2000). The phosphoryl groups are then transferred to the response regulator. Activation of the response regulator typically leads to a conformational change that allows the protein to bind DNA. TCS sense a variety of environmental signals such as temperature, pH, and osmolarity. Many TCS play a role in Salmonella virulence, including the PhoP/Q system (Groisman, 2001). Classical transcriptional activation involves direct contact between an activator and RNA polymerase, for example, at the carboxy-terminal domain of the α subunit or at region 4 of σD, in order to recruit the polymerase to a promoter or facilitate open complex formation (Rhodius and Busby, 1998). Cross-talk between a sensor-kinase and non-cognate response-regulator appears to be unusual, constrained by multiple insulating mechanisms, most notably at the level of molecular recognition (Laub and Goulian, 2007).
Another mechanism of transcriptional regulation involves a DNA-binding protein that represses transcription unless an inducer molecule is present (Lewis et al., 1996). Under non-inducing conditions, the repressor remains bound to the promoter region to prevent RNA polymerase from initiating transcription. Under activating conditions, an inducer causes a conformational change in the repressor so that it no longer binds the promoter region.
In addition to coordinately regulating the expression of multiple genes with individual regulators, Salmonella possesses mechanisms to integrate the control of specific genes or stress pathways to respond to multiple unrelated environmental signals. Through the integration of stress responses, Salmonella can express universal stress pathways in response to a diverse array of environmental signals, modulate gene responses by placing them under the influence of multiple regulatory pathways, and create regulatory check-points in which multiple conditions must be met in order for gene expression to occur. This brief review will consider four mechanisms by which such signal integration may be achieved: multiple promoters, sensor versatility, counter-silencing, and signaling cascades (Fig. 1).
Tandem Promoters
The simplest means of integrating different environmental signals is for gene expression to be regulated from multiple tandem promoters, with each promoter induced by a different environmental signal (Fig. 1a). One example of tandem promoters can be seen in the transcriptional regulation of the alternative sigma factor σH, encoded by the rpoH gene, which regulates genes involved in the heat shock stress response. The rpoH gene is transcribed from four promoters, three of which are recognized by σD during normal growth, and one that is transcribed by σE in response to extracytoplasmic stress conditions such as extreme heat (Erickson and Gross, 1989). Another example can be found within Salmonella Pathogenicity Island-1 (SPI-1). The Salmonella Pathogenicity Islands are AT-rich regions of the genome that encode many of the genes required for Salmonella virulence. SPI-1 encodes a type III secretory system that translocates effector proteins into host cells to stimulate cytoskeletal rearrangements, bacterial internalization and inflammatory cell death (Fink and Cookson, 2007; Lostroh and Lee, 2001; Patel and Galán, 2005). The hilE gene, which encodes a negative regulator of SPI-1 gene expression, possesses three promoters, one of which is controlled by the Mlc repressor (Lim et al., 2007), which responds to the availability of glucose, and another that is controlled by the FimZ activator (Baxter and Jones, 2005), which also regulates Salmonella attachment and adherence under static growth conditions. A third well-characterized example is the ugd gene, which is required for 4-aminoarabinose incorporation into lipopolysaccharide. The ugd gene has two promoters, one of which responds to the PhoP/Q and PmrA/B TCS and a second under control of the Rcs phosphorelay system (Mouslim and Groisman, 2003), which respond to distinct and independent environmental signals.
Sensor Versatility
Another mechanism by which signal integration can theoretically be achieved involves sensor proteins that are able to sense multiple environmental signals (Fig. 1b). If a single regulator can be activated by more than one signal, this can provide the basis for a common stress response triggered by diverse stimuli.
A classic example is provided by the SoxRS TCS, conserved between Salmonella and E. coli. SoxR is both a sensor and a transcription factor that senses and responds to two environmental conditions, oxidative stress and nitrosative stress. Both superoxide and nitric oxide (NO) are free radicals that can cause damage to the cell, and these reactive oxygen and nitrogen species share cellular targets such as iron-sulfur cluster-containing proteins and DNA. Superoxide is produced as a byproduct of respiration, whereas nitric oxide can be generated by metabolism or produced exogenously as a host defense mechanism. Each SoxR protein contains a single (2Fe-2S) cluster, which is necessary for sensing superoxide and nitric oxide. Superoxide oxidizes the (2Fe-2S) cluster of SoxR, activating SoxR as a transcription factor (Gaudu and Weiss, 1996). SoxR then induces the expression of SoxS, which is responsible for the activation of a diverse set of genes involved in antioxidant defense. Nitric oxide directly activates SoxR by forming a dinitrosyl-iron-dithiol complex with the (2Fe-2S) clusters (Nunoshiba et al., 1993; Ding and Demple, 2000).
However, SoxR is not the primary regulator of the cellular response to NO. NsrR, an FeS cluster-containing transcriptional repressor, controls the NO stress response. One of the most conserved genes in the NsrR regulon is hmp, which encodes a flavohemoprotein capable of detoxifying NO under both aerobic and anaerobic conditions (Bang et al., 2006; Bodenmiller and Spiro, 2006; Gardner et al., 1998; Hausladen et al., 1998; Tucker et al., 2010). Expression of hmp in the absence of NO can exacerbate oxidative stress by shuttling electrons to the flavin pool and promoting Fenton chemistry (Bang et al., 2006). Thus, hmp is regulated both by NO and iron availability. Nitrosylation of NsrR induces the expression of hmp as a protective response, but NsrR represses hmp expression if NO is absent and iron is available (Bang et al., 2006). Responsiveness to both signals allows cells to finely regulate levels of hmp expression, ameliorating nitrosative stress without aggravating oxidative stress.
The fumarate and nitrate reduction regulator (FNR) is a transcription factor that controls the expression of a large number of genes in response to the availability of oxygen. FNR contains a (4Fe-4S) cluster that is sensitive to the presence of oxygen. Under anaerobic conditions, FNR functions as a transcriptional activator through the acquisition of a (4Fe-4S)2+ cluster (Popescu et al., 1998). Upon exposure to oxygen, FNR is inactivated following the conversion of the (4Fe-4S)2+ cluster to a (2Fe-2S)2+ cluster, resulting in a decrease in DNA-binding ability (Khoroshilova et al., 1997). As with SoxR, NO can also nitrosylate the iron-sulfur cluster of FNR to reduce DNA-binding affinity of the protein and mimic the effects of oxygen (Cruz-Ramos et al., 2002).
The transcriptional regulator OxyR is a non-metal-containing protein in the LysR family that has been suggested to respond to multiple signals via a redox-sensitive thiol at Cys199. Oxidation of Cys199 to sulfenic acid by hydrogen peroxide promotes a reversible conformational change that allows OxyR to activate transcription of specific genes involved in resistance to oxidative stress (Kullik et al., 1995). An intramolecular disulfide bond involving Cys199 and Cys208 can stabilize OxyR in an activated form (Choi et al., 2001; Lee et al., 2004; Zheng et al., 1998). An alternative pathway of OxyR activation during nitrosative stress has been proposed, in which nitrosylation of Cys199 stimulates a similar conformational change (Hausladen et al., 1996; Kim et al., 2002). However, questions regarding the physiological significance of OxyR Cys199 modifications other than oxidation and disulfide bond formation remain (Helmann, 2002; Paget and Buttner, 2003).
An interesting example of a versatile sensor not involving a metal center has been recently proposed. The Salmonella mgtA gene encodes an ATP-dependent magnesium transporter. Expression of mgtA is responsive to low magnesium, which is sensed both at the level of the PhoP/Q TCS and a riboswitch contained within the 5′ leader of the mgtA mRNA (Choi et al., 2009; Cromie and Groisman, 2010). A proline-rich open reading frame also located within the mgtA leader mRNA, designated mgtL, has been shown to confer responsiveness to proline availability and osmolarity (Park et al., 2010). While this observation is intriguing, it has not yet been shown whether mgtA plays an essential role during proline deprivation or hyperosmolar stress. Although sensor versatility is a theoretically attractive mechanism of signal integration, the small number of examples in fact suggests that true versatility is difficult to achieve. Even for the known examples, it is controversial whether response to multiple signals represents actual signal integration or merely adventitious triggering of a stress response by promiscuous or incidental sensing.
Xenogeneic Silencing and Counter-Silencing
H-NS is a nucleoid-associated protein that globally silences genes acquired via horizontal gene transfer (Lucchini et al., 2006; Navarre et al., 2006). Foreign genes acquired through gene transfer typically have a lower GC content than the resident genome. In a process designated “xenogeneic silencing,” H-NS specifically binds and represses the transcription of AT-rich DNA sequences, thereby limiting the expression of foreign genes and facilitating their later incorporation into regulatory networks (Navarre et al., 2007). Following acquisition, evolutionary modification of H-NS-bound sequences can produce mechanisms of regulated counter-silencing that permit the expression of H-NS-silenced genes under specific conditions. Several mechanisms of counter-silencing have been described (Navarre et al., 2007; Stoebel et al., 2008). First, antagonists can bind to H-NS, disrupting the H-NS multimeric complexes. Second, H-NS can be out-competed by DNA-binding proteins with higher binding affinity. Third, genes may be expressed via alternative sigma factors that have higher affinity to AT-rich DNA. Finally, geometry of the promoter region may be changed by environmental factors resulting in disruption of H-NS binding. It is becoming clear that counter-silencing is responsible for a substantial proportion of bacterial gene regulation in response to environmental conditions, particularly with regard to virulence genes. The varied mechanisms by which H-NS-mediated silencing can be countered can facilitate signal integration.
For example, counter-silencing has been shown to play a role in the regulation of Salmonella biofilms. Salmonella forms biofilms both within and outside the host in response to a variety of environmental signals such as variations in nutrient availability, temperature, pH, and osmolarity. Biofilm formation contributes to host colonization and protects cells outside the host from desiccation, disinfectants, and antibiotics (Steenackers et. al., 2011). Curli fimbriae promote cell-surface and cell-cell interactions during biofilm formation. The csgBAC genes can be transcribed by σ70 in the absence of H-NS, but require the alternative sigma factor σS to overcome silencing by H-NS under normal conditions (Olsen et. al., 1993). Under low nutrient and low temperature conditions, the regulator protein Crl recruits σS to the csgBAC promoter, enabling expression of Curli and biofilm formation (Bougdour et. al., 2004). The switch between planktonic to multicellular states is regulated by the transcriptional regulator CsgD, whose expression provides another example of signal integration. Several regulatory proteins, including OmpR, IHF, H-NS, and MlrA, bind directly to a large intergenic region upstream of the csgD promoter to modulate gene expression in response to changing environmental stimuli (Gerstel and Romling, 2003).
Along with other horizontally acquired sequences, the aforementioned Salmonella pathogenicity islands (SPIs) are silenced by H-NS until activated by environmental signals encountered in the intestinal tract or within host cell phagosomes. Expression of SPI-1 genes is regulated by multiple transcription factors in addition to HilE, including HilA (Lostroh and Lee, 2001). The expression of hilA, also located in SPI-1, is controlled by a number of regulatory factors in response to changing environmental conditions. The hilA gene is silenced by H-NS under low-osmolarity conditions, until H-NS-mediated repression is relieved by HilC and HilD, two other transcription factors encoded within SPI-1 (Schechter et al., 2003). HilC and HilD respond to different environmental conditions, but either alone is capable of activating hilA expression (Lucas and Lee, 2001). Thus, counter-silencing allows SPI-1 expression to occur under either of two environmental conditions (Fig. 2).
The SPI-4 pathogenicity island encodes six genes that, like SPI-1 genes, are involved in the intestinal phase of Salmonella infection (Kiss et al., 2007). SPI-4 is co-regulated with SPI-1 (Gerlach et al., 2007); the expression of SPI-4 genes requires two SPI-1-encoded transcription factors, HilA and HilD (Main-Hester, 2008; Main-Hester et al., 2008). As with SPI-1, SPI-4 genes are normally repressed by H-NS until de-repressed by HilA under inducing conditions encountered in the intestines. However, both HilA and HilD are required for SPI-4 expression. This can be viewed as a “checkpoint” mechanism, since two different environmental conditions must be met for gene expression to take place (Fig. 2). Hybrid arrangements in which classical transcriptional activation and counter-silencing are combined also occur (Fig. 1c), as in the co-regulation of SPI-2 pathogenicity island genes by OmpR and SsrB (Walthers et al., 2007), or the co-regulation of the OmpS1 porin by OmpR and Leu regulation of OmpS1. (De la Cruz et al., 2007). The participation of transcriptional activators as both classical activators and counter-silencers, and the ability to achieve both signal integration and checkpoint regulation, illustrates the versatility of the counter-silencing paradigm in achieving diverse regulatory goals.
Signaling Cascades
Signaling cascades, as seen in the Salmonella flagellar regulon, the SPI-1 and SPI-2 pathogenicity islands and many other examples, involve the sequential activation of multiple genes, which may amplify a response and allow input from multiple signaling pathways and environmental signals (Fig. 1d). One of the best-studied examples of a Salmonella signaling cascade involves the PhoP/Q and PmrA/B TCS. PhoP/Q activation can be stimulated by acid pH and antimicrobial peptides or low magnesium concentrations (Bader et al., 2005; Garcia Vescovi et al., 1996; Prost et al., 2007), while PmrA/B activation responds both to acid stress and elevated iron(III) concentrations (Perez and Groisman, 2007; Wosten et al., 2000). PhoP activates the expression of the pmrD gene, encoding a TCS connector protein that binds and stabilizes phosphorylated PmrA (Kato and Groisman, 2004; Kox et al., 2000; Mitrophanov, 2008). Thus, the PmrA/B regulon is pH-responsive and can further be stimulated by iron in a PhoP/Q-independent manner, or by cationic peptides or low magnesium in a PhoP/Q-dependent manner (Gunn and Miller, 1996; Soncini and Groisman, 1996). In an analogous fashion, the osmoregulated auxiliary regulatory protein TviA encoded by Salmonella Pathogenicity Island 7 modulates expression of the RcsB regulon in Salmonella Typhi and thereby integrates changes in osmolarity with cell envelope stress in the regulation of Salmonella motility, invasion and capsular synthesis (Winter et al., 2009).
Although sigma factors directly control the expression of discrete subsets of genes, the σS–dependent general stress response can be triggered by multiple environmental signals and pathways, including those regulated by the alternative sigma factors σE and σH. σS is required for bacterial survival during stationary phase and for general stress responses to signals such as changes in osmolarity, temperature and pH (Hengge-Aronis, 2002). σE belongs to the family of of extracytoplasmic function (ECF) sigma factors, which play essential roles in membrane and periplasmic homeostasis, and are activated by the presence of unfolded membrane or periplasmic proteins (Alba and Gross, 2004; Erickson and Gross, 1989; Rouviere et al., 1995). σE has also been found to have a role in stationary phase survival and resistance to oxidative stress (Testerman et al., 2002). In addition, σS and σE are both required for virulence in Salmonella (Fang et al., 1992; Humphreys et al., 1999; Testerman et al., 2002). σH is responsible for regulating genes required for resistance to heat shock, and in addition plays a role in stationary phase survival (Jenkins et al., 1991). Recent observations have shown that regulatory interactions link σE, and σH and σS in a signaling cascade (Bang et al., 2005). σE is able to enhance levels of σS during stationary phase via increased expression of rpoH and hfq. Hfq, a σH-dependent protein, promotes σS translation by binding the small RNAs DsrA and RprA and stabilizing their interaction with rpoS mRNA to promote translation (McCullen et al., 2010; Sledjeski et al., 1996; Soper et al., 2010). Activation of either σE or σH can thereby increase expression of σS in an Hfq-dependent fashion (Bang et al., 2005). Thus, a sigma factor cascade integrates extracytoplasmic (σE) and cytoplasmic (σH) stress responses with the σS–dependent general stress response (Fang, 2005). In fact, regulation of the σS general stress response at transcriptional, translational and post-translational levels allows modulation by many environmental conditions including growth rate, cell density, temperature, osmolarity, pH, and nutrient availability (Klauck et al., 2007).
Proteolytic Signaling Cascade
The mechanism of σE activation in response to misfolded outer membrane proteins (OMPs) has been well characterized (Ades, 2008; Alba and Gross, 2004). Under non-stress conditions, σE is sequestered by the anti-sigma factor RseA at the inner membrane (Fig. 3). During heat stress, RseA is sequentially cleaved by the DegS and RseP proteases. Initial cleavage of the RseA periplasmic domain by DegS is followed by cleavage of the RseA transmembrane domain by RseP, to release σE and a residual RseA cytoplasmic domain that is degraded by ClpXP. The presence of misfolded OMPs leads to DegS activation via interaction with the protease PDZ domain (Walsh et al., 2003). RseP is unable to proteolyze RseA until DegS has first acted upon the periplasmic domain of RseA.
However, studies in Salmonella have revealed a second pathway of RseA proteolysis and σE activation. Although σE is essential in E. coli, this sigma factor is non-essential in Salmonella. A null mutation in degS is less attenuating for Salmonella virulence compared to a null mutation in rpoE encoding σE (Rowley et al., 2005). This is because σE can be activated during acid stress by a DegS-independent mechanism that does not require the presence of misfolded OMPs (Müller et al., 2009). The acid pH-triggered DegS-independent activation of σE is essential for Salmonella survival within the acidified phagosomes of host macrophages (Müller et al., 2009). Acid pH activation of σE still requires RseA cleavage by the RseP protease, and it has been suggested that acid stress may alleviate inhibition of RseA proteolysis by RseP without requiring initial RseA processing by DegS. The DegS-RseP proteolytic cascade thus allows the integration of different environmental signals (misfolded OMPs, acid pH) to activate a common stress response controlled by σE.
Conclusions
The integration of transcriptional responses to different signals allows bacteria to respond to diverse environmental conditions through the expression of common stress responses. Recent observations are revealing new insights into the mechanisms of signal integration that include tandem promoters, sensor versatility, counter-silencing and signaling cascades. The versatile pathogen Salmonella enterica utilizes each of these strategies as it adapts to the varied conditions encountered in food vehicles, the host intestine and the intracellular environment.
Acknowledgments
The authors are grateful for support from research grants from the National Institutes of Health (AI39557, AI44486, AI77629) and thank Linda Kenney and Stephen Libby for critical comments and discussions. S.S. received support from an NIH Training Grant (AI55396).
Footnotes
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