RpoS and the bacterial general stress response

SUMMARYThe general stress response (GSR) is a widespread strategy developed by bacteria to adapt and respond to their changing environments. The GSR is induced by one or multiple simultaneous stresses, as well as during entry into stationary phase and leads to a global response that protects cells against multiple stresses. The alternative sigma factor RpoS is the central GSR regulator in E. coli and conserved in most γ-proteobacteria. In E. coli, RpoS is induced under conditions of nutrient deprivation and other stresses, primarily via the activation of RpoS translation and inhibition of RpoS proteolysis. This review includes recent advances in our understanding of how stresses lead to RpoS induction and a summary of the recent studies attempting to define RpoS-dependent genes and pathways.

Interplay between autotrophic and heterotrophic prokaryotic metabolism in the bathypelagic realm revealed by metatranscriptomic analyses

BACKGROUND

Heterotrophic microbes inhabiting the dark ocean largely depend on the settling of organic matter from the sunlit ocean. However, this sinking of organic materials is insufficient to cover their demand for energy and alternative sources such as chemoautotrophy have been proposed. Reduced sulfur compounds, such as thiosulfate, are a potential energy source for both auto- and heterotrophic marine prokaryotes.

METHODS

Seawater samples were collected from Labrador Sea Water (LSW, ~ 2000 m depth) in the North Atlantic and incubated in the dark at in situ temperature unamended, amended with 1 µM thiosulfate, or with 1 µM thiosulfate plus 10 µM glucose and 10 µM acetate (thiosulfate plus dissolved organic matter, DOM). Inorganic carbon fixation was measured in the different treatments and samples for metatranscriptomic analyses were collected after 1 h and 72 h of incubation.

RESULTS

Amendment of LSW with thiosulfate and thiosulfate plus DOM enhanced prokaryotic inorganic carbon fixation. The energy generated via chemoautotrophy and heterotrophy in the amended prokaryotic communities was used for the biosynthesis of glycogen and phospholipids as storage molecules. The addition of thiosulfate stimulated unclassified bacteria, sulfur-oxidizing Deltaproteobacteria (SAR324 cluster bacteria), Epsilonproteobacteria (Sulfurimonas sp.), and Gammaproteobacteria (SUP05 cluster bacteria), whereas, the amendment with thiosulfate plus DOM stimulated typically copiotrophic Gammaproteobacteria (closely related to Vibrio sp. and Pseudoalteromonas sp.).

CONCLUSIONS

The gene expression pattern of thiosulfate utilizing microbes specifically of genes involved in energy production via sulfur oxidation and coupled to CO2 fixation pathways coincided with the change in the transcriptional profile of the heterotrophic prokaryotic community (genes involved in promoting energy storage), suggesting a fine-tuned metabolic interplay between chemoautotrophic and heterotrophic microbes in the dark ocean. Video Abstract.

Cyclopropane Fatty Acids are Important for Salmonella enterica serovar Typhimurium Virulence

A variety of eubacteria, plants and protozoa can modify membrane lipids by cyclopropanation, which is reported to modulate membrane permeability and fluidity. The ability to cyclopropanate membrane lipids has been associated with resistance to oxidative stress in Mycobacterium tuberculosis, organic solvent stress in Escherichia coli, and acid stress in E. coli and Salmonella. In bacteria, the cfa gene encoding cyclopropane fatty acid (CFA) synthase is induced during the stationary phase of growth. In the present study we constructed a cfa mutant of Salmonella enterica serovar Typhimurium 14028s (S. Typhimurium) and determined the contribution of CFA-modified lipids to stress resistance and virulence in mice. Cyclopropane fatty acid content was quantified in wild-type and cfa mutant S. Typhimurium. CFA levels in a cfa mutant were greatly reduced compared to wild-type, indicating that CFA synthase is the major enzyme responsible for cyclopropane modification of lipids in Salmonella. S. Typhimurium cfa mutants were more sensitive to extreme acid pH, the protonophore CCCP, and hydrogen peroxide, compared to wild-type. In addition, cfa mutants exhibited reduced viability in murine macrophages and could be rescued by addition of the NADPH phagocyte oxidase inhibitor diphenyleneiodonium (DPI) chloride. S. Typhimurium lacking cfa was also attenuated for virulence in mice. These observations indicate that CFA modification of lipids makes an important contribution to Salmonella virulence.

Stabilization of SecA ATPase by the primary cytoplasmic salt of Escherichia coli

Much is known about the structure, function, and stability of the SecA motor ATPase that powers the secretion of periplasmic proteins across the inner membrane of Escherichia coli. Most studies of SecA are carried out in buffered sodium or potassium chloride salt solutions. However, the principal intracellular salt of E. coli is potassium glutamate (KGlu), which is known to stabilize folded proteins and protein-nucleic acid complexes. Here we report that KGlu stabilizes SecA, including its dimeric state, and increases its ATPase activity, suggesting that SecA is likely fully folded, stable, and active in vivo at 37°C. Furthermore, KGlu also stabilizes a precursor form of the secreted maltose-binding protein.

Extracellular Acidic pH Inhibits Acetate Consumption by Decreasing Gene Transcription of the Tricarboxylic Acid Cycle and the Glyoxylate Shunt

Escherichia coli produces acetate during aerobic growth on various carbon sources. After consuming the carbon substrate, E. coli can further grow on the acetate. This phenomenon is known as the acetate switch, where cells transition from producing acetate to consuming it. In this study, we investigated how pH governs the acetate switch. When E. coli was grown on a glucose-supplemented medium initially buffered to pH 7, the cells produced and then consumed the acetate. However, when the initial pH was dropped to 6, the cells still produced acetate but were only able to consume it when little (<10 mM) acetate was produced. When significant acetate was produced in acidic medium, which occurs when the growth medium contains magnesium, amino acids, and sugar, the cells were unable to consume the acetate. To determine the mechanism, we characterized a set of metabolic mutants and found that those defective in the tricarboxylic acid (TCA) cycle or glyoxylate shunt exhibited reduced rates of acetate consumption. We further found that the expression of the genes in these pathways was reduced during growth in acidic medium. The expression of the genes involved in the AckA-Pta pathway, which provides the principal route for both acetate production and consumption, was also inhibited in acidic medium but only after glucose was depleted, which correlates with the acetate consumption phase. On the basis of these results, we conclude that growth in acidic environments inhibits the expression of the acetate catabolism genes, which in turn prevents acetate consumption.IMPORTANCE Many microorganisms produce fermentation products during aerobic growth on sugars. One of the best-known examples is the production of acetate by Escherichia coli during aerobic growth on sugars. In E. coli, acetate production is reversible: once the cells consume the available sugar, they can consume the acetate previously produced during aerobic fermentation. We found that pH affects the reversibility of acetate production. When the cells produce significant acetate during growth in acidic environments, they are unable to consume it. Unconsumed acetate may accumulate in the cell and inhibit the expression of pathways required for acetate catabolism. These findings demonstrate how acetate alters cell metabolism; they also may be useful for the design of aerobic fermentation processes.

Metabolic interactions between dynamic bacterial subpopulations

Individual microbial species are known to occupy distinct metabolic niches within multi-species communities. However, it has remained largely unclear whether metabolic specialization can similarly occur within a clonal bacterial population. More specifically, it is not clear what functions such specialization could provide and how specialization could be coordinated dynamically. Here, we show that exponentially growing Bacillus subtilis cultures divide into distinct interacting metabolic subpopulations, including one population that produces acetate, and another population that differentially expresses metabolic genes for the production of acetoin, a pH-neutral storage molecule. These subpopulations exhibit distinct growth rates and dynamic interconversion between states. Furthermore, acetate concentration influences the relative sizes of the different subpopulations. These results show that clonal populations can use metabolic specialization to control the environment through a process of dynamic, environmentally-sensitive state-switching.

The chemical reactions that occur within a living organism are collectively referred to as its metabolism. Many metabolic reactions produce byproducts that will poison the cells if they are not dealt with: fermenting bacteria, for example, release harmful organic acids and alcohols. How the bacteria respond to these toxins has been most studied at the level of entire microbial populations, meaning the activities of individual cells are effectively “averaged” together. Yet, even two bacteria with the same genes and living in the same environment can behave in different ways. This raises the question: do bacterial populations specialize into distinct subpopulations that play distinct roles when dealing with metabolic products, or do all cells in the community act in unison?

Rosenthal et al. set out to answer this question for a community of Bacillus subtilis, a bacterium that is commonly studied in the laboratory and used for the industrial production of enzymes. The analysis focused on genes involved in fundamental metabolic processes, known as the TCA cycle, which the bacteria use to generate energy and build biomass. The experiments revealed that, even when all the cells are genetically identical, different Bacillus subtilis cells do indeed specialize into metabolic subpopulations with distinct growth rates.

Time-lapse movies of bacteria that made fluorescent markers of different colors whenever certain metabolic genes became active showed cells switching different colors on and off, indicating that they switch between metabolic subpopulations. Further biochemical studies and measures of gene activity revealed that the different subpopulations produce and release distinct metabolic products, including toxic byproducts. Notably, the release of these metabolites by one subpopulation appeared to activate other subpopulations within the community.

This example of cells specializing into unique interacting metabolic subpopulations provides insight into several fundamental issues in microbiology and beyond. It is relevant to evolutionary biologists, since the fact that fractions of the population can switch in and out of a metabolic state, instead of evolving into several inflexible specialists, may provide an evolutionary advantage in fluctuating natural environments by reducing the risk of extinction. It also has implications for industrial fermentation processes and metabolic engineering, and may help biotechnologists design more efficient ways to harness bacterial metabolism to produce useful products.

Piecewise linear approximations to model the dynamics of adaptation to osmotic stress by food-borne pathogens

Addition of salt to food is one of the most ancient and most common methods of food preservation. However, little is known of how bacterial cells adapt to such conditions. We propose to use piecewise linear approximations to model the regulatory adaptation of Escherichiacoli to osmotic stress. We apply the method to eight selected genes representing the functions known to be at play during osmotic adaptation. The network is centred on the general stress response factor, sigma S, and also includes a module representing the catabolic repressor CRP-cAMP. Glutamate, potassium and supercoiling are combined to represent the intracellular regulatory signal during osmotic stress induced by salt. The output is a module where growth is represented by the concentration of stable RNAs and the transcription of the osmotic gene osmY. The time course of gene expression of transport of osmoprotectant represented by the symporter proP and of the osmY is successfully reproduced by the network. The behaviour of the rpoS mutant predicted by the model is in agreement with experimental data. We discuss the application of the model to food-borne pathogens such as Salmonella; although the genes considered have orthologs, it seems that supercoiling is not regulated in the same way. The model is limited to a few selected genes, but the regulatory interactions are numerous and span different time scales. In addition, they seem to be condition specific: the links that are important during the transition from exponential to stationary phase are not all needed during osmotic stress. This model is one of the first steps towards modelling adaptation to stress in food safety and has scope to be extended to other genes and pathways, other stresses relevant to the food industry, and food-borne pathogens. The method offers a good compromise between systems of ordinary differential equations, which would be unmanageable because of the size of the system and for which insufficient data are available, and the more abstract Boolean methods.

Osmotic Stress

Escherichia coli and Salmonella encounter osmotic pressure variations in natural environments that include host tissues, food, soil, and water. Osmotic stress causes water to flow into or out of cells, changing their structure, physics, and chemistry in ways that perturb cell functions. E. coli and Salmonella limit osmotically induced water fluxes by accumulating and releasing electrolytes and small organic solutes, some denoted compatible solutes because they accumulate to high levels without disturbing cell functions. Osmotic upshifts inhibit membrane-based energy transduction and macromolecule synthesis while activating existing osmoregulatory systems and specifically inducing osmoregulatory genes. The osmoregulatory response depends on the availability of osmoprotectants (exogenous organic compounds that can be taken up to become compatible solutes). Without osmoprotectants, K+ accumulates with counterion glutamate, and compatible solute trehalose is synthesized. Available osmoprotectants are taken up via transporters ProP, ProU, BetT, and BetU. The resulting compatible solute accumulation attenuates the K+ glutamate response and more effectively restores cell hydration and growth. Osmotic downshifts abruptly increase turgor pressure and strain the cytoplasmic membrane. Mechanosensitive channels like MscS and MscL open to allow nonspecific solute efflux and forestall cell lysis. Research frontiers include (i) the osmoadaptive remodeling of cell structure, (ii) the mechanisms by which osmotic stress alters gene expression, (iii) the mechanisms by which transporters and channels detect and respond to osmotic pressure changes, (iv) the coordination of osmoregulatory programs and selection of available osmoprotectants, and (v) the roles played by osmoregulatory mechanisms as E. coli and Salmonella survive or thrive in their natural environments.

Functional characterization of the principal sigma factor RpoD of phytoplasmas via an in vitro transcription assay

Phytoplasmas (class, Mollicutes) are insect-transmissible and plant-pathogenic bacteria that multiply intracellularly in both plants and insects through host switching. Our previous study revealed that phytoplasmal sigma factor rpoD of OY-M strain (rpoD_OY) could be a key regulator of host switching, because the expression level of rpoD_OY was higher in insect hosts than in plant hosts. In this study, we developed an in vitro transcription assay system to identify RpoD_OY-dependent genes and the consensus promoter elements. The assay revealed that RpoD_OY regulated some housekeeping, virulence, and host–phytoplasma interaction genes of OY-M strain. The upstream region of the transcription start sites of these genes contained conserved –35 and –10 promoter sequences, which were similar to the typical bacterial RpoD-dependent promoter elements, while the –35 promoter elements were variable. In addition, we searched putative RpoD-dependent genes based on these promoter elements on the whole genome sequence of phytoplasmas using in silico tools. The phytoplasmal RpoD seems to mediate the transcription of not only many housekeeping genes as the principal sigma factor, but also the virulence- and host-phytoplasma interaction-related genes exhibiting host-specific expression patterns. These results indicate that more complex mechanisms exist than previously thought regarding gene regulation enabling phytoplasmas to switch hosts.

Stationary-Phase Gene Regulation in Escherichia coli §

In their stressful natural environments, bacteria often are in stationary phase and use their limited resources for maintenance and stress survival. Underlying this activity is the general stress response, which in Escherichia coli depends on the σS (RpoS) subunit of RNA polymerase. σS is closely related to the vegetative sigma factor σ70 (RpoD), and these two sigmas recognize similar but not identical promoter sequences. During the postexponential phase and entry into stationary phase, σS is induced by a fine-tuned combination of transcriptional, translational, and proteolytic control. In addition, regulatory "short-cuts" to high cellular σS levels, which mainly rely on the rapid inhibition of σS proteolysis, are triggered by sudden starvation for various nutrients and other stressful shift conditons. σS directly or indirectly activates more than 500 genes. Additional signal input is integrated by σS cooperating with various transcription factors in complex cascades and feedforward loops. Target gene products have stress-protective functions, redirect metabolism, affect cell envelope and cell shape, are involved in biofilm formation or pathogenesis, or can increased stationary phase and stress-induced mutagenesis. This review summarizes these diverse functions and the amazingly complex regulation of σS. At the molecular level, these processes are integrated with the partitioning of global transcription space by sigma factor competition for RNA polymerase core enzyme and signaling by nucleotide second messengers that include cAMP, (p)ppGpp, and c-di-GMP. Physiologically, σS is the key player in choosing between a lifestyle associated with postexponential growth based on nutrient scavenging and motility and a lifestyle focused on maintenance, strong stress resistance, and increased adhesiveness. Finally, research with other proteobacteria is beginning to reveal how evolution has further adapted function and regulation of σS to specific environmental niches.

Transcriptional switching in Escherichia coli during stress and starvation by modulation of sigma activity

During active growth of Escherichia coli, majority of the transcriptional activity is carried out by the housekeeping sigma factor (sigma(70)), whose association with core RNAP is generally favoured because of its higher intracellular level and higher affinity to core RNAP. In order to facilitate transcription by alternative sigma factors during nutrient starvation, the bacterial cell uses multiple strategies by which the transcriptional ability of sigma(70) is diminished in a reversible manner. The facilitators of shifting the balance in favour of alternative sigma factors happen to be as diverse as a small molecule (p)ppGpp (represents ppGpp or pppGpp), proteins (DksA, Rsd) and a species of RNA (6S RNA). Although 6S RNA and (p)ppGpp were known in literature for a long time, their role in transcriptional switching has been understood only in recent years. With the elucidation of function of DksA, a new dimension has been added to the phenomenon of stringent response. As the final outcome of actions of (p)ppGpp, DksA, 6S RNA and Rsd is similar, there is a need to analyse these mechanisms in a collective manner. We review the recent trends in understanding the regulation of sigma(70) by (p)ppGpp, DksA, Rsd and 6S RNA and present a case for evolving a unified model of RNAP redistribution during starvation by modulation of sigma(70) activity in E. coli.

Specific growth rate dependent transcriptome profiling of Escherichia coli K12 MG1655 in accelerostat cultures

Specific growth rate dependent gene expression changes of Escherichia coli K12 MG1655 were studied by microarray and real-time PCR analyses. The bacteria were cultivated on glucose limited minimal medium using the accelerostat method (A-stat) where starting from steady state conditions (chemostat culture) dilution rate is constantly increased. At specific growth rate (mu) 0.47h(-1), E. coli had focused its metabolism to glucose utilization by down-regulation of alternative substrate transporters expression compared to mu=0.3h(-1). It was found that acetic acid accumulation began at mu=0.34+/-0.01h(-1) and two acetate synthesis pathways - phosphotransacetylase-acetate kinase (pta-ackA) and pyruvate oxidase (poxB) - contributed to the synthesis at the beginning of overflow metabolism, i.e. onset of acetate excretion. On the other hand, poxB, pta and ackA expression patterns suggest that pyruvate oxidase may be the only enzyme synthesizing acetate at mu=0.47h(-1). Loss of glucose and acetate co-utilization represented by down-regulation of acs-yjcH-actP operon between specific growth rates 0.3-0.42h(-1) and acetic acid accumulation from mu=0.34+/-0.01h(-1) allows one to surmise that the acetate utilization operon expression might play an important role in overflow metabolism.

Cyclopropane fatty acyl synthase in Sinorhizobium meliloti

Cyclopropane fatty acyl synthases (CFA synthases) are enzymes that catalyse the addition of a methylene group acrosscisdouble bonds of monounsaturated fatty acyl chains in lipids. We have investigated the function of two putative genes,cfa1andcfa2,proposed to code for CFA synthases inSinorhizobium meliloti. Total fatty acid composition and fatty acid distributions within lipid classes for wild-type andcfa1andcfa2mutant strains grown under Pistarvation and in acidic culture conditions were obtained by GC/MS and by infusion ESI/MS/MS, respectively. For wild-type cells and thecfa1mutant, total cyclopropane fatty acids (CFAs) increased by 10 % and 15 % under Pistarvation and acidic conditions, respectively; whereas in thecfa2mutant, CFAs were less than 0.1 % of wild-type under both growth conditions. Reporter gene fusion experiments revealed thatcfa1andcfa2were expressed at similar levels in free-living cells. Thus under the conditions we examined,cfa2was required for the cyclopropanation of lipids inS. melilotiwhereas the role ofcfa1remains to be determined. Analysis of intact lipids revealed that cyclopropanation occurred oncis-11-octadecenoic acid located in either thesn-1 or thesn-2 position in phospholipids and that cyclopropanation in thesn-2 position occurred to a greater extent in phosphatidylcholines and sulfoquinovosyldiacylglycerols under acidic conditions than under Pistarvation. Thecfa2gene was also required for cyclopropanation of non-phosphorus-containing lipids. Principal components analysis revealed no differences in the cyclopropanation of four lipid classes. We concluded that cyclopropanation occurred independently of the polar head group. Neithercfa1norcfa2was required for symbiotic nitrogen fixation.

Remodeling and activation of Escherichia coli RNA polymerase by osmolytes

The ability of bacteria to survive environmental stresses and colonize the gastrointestinal tract depends on adaptation to high osmolarity. The adaptation involves global reprogramming of gene expression, including inhibition of bulk sigma70 RNA polymerase transcription and activation of bulk sigma38 transcription. The activating signal transduction pathways that originate with osmolytes remain to be established. Experiments here confirm that accumulation of a simple signaling molecule, glutamate, can reprogram RNA polymerase in vitro without the need for specific protein receptors. During osmotic activation, glutamate appears to act as a Hofmeister series osmolyte to facilitate promoter escape. Escape is accompanied by a remodeling of the key interaction between the sigma38 stress protein and the beta-flap of the bacterial core RNA polymerase. This activation event contrasts with the established mechanism of inhibition in which glutamate, by virtue of its electrostatic properties, helps to inhibit binding to ribosomal promoters after osmotic shock. Overall, Escherichia coli survival in natural hosts and reservoirs is expected to rely on the accumulation of simple ions that trigger changes in protein conformation that lead to global changes in transcription.

Analysis of RNA polymerase-promoter complex formation

Bacterial promoter identification and characterization is not as straightforward as one might presume. Promoters vary widely in their similarity to the consensus recognition element sequences, in their activities, and in their utilization of transcription factors, and multiple approaches often must be used to provide a framework for understanding promoter regulation. Characterization of RNA polymerase-promoter complex formation in the absence of additional regulatory factors (basal promoter function) can provide a basis for understanding the steps in transcription initiation that are ultimately targeted by nutritional or environmental factors. Promoters can be localized using genetic approaches in vivo, but the detailed properties of the RNAP-promoter complex are studied most productively in vitro. We first describe approaches for identification of bacterial promoters and transcription start sites in vivo, including promoter-reporter fusions and primer-extension. We then describe a number of methods for characterization of RNAP-promoter complexes in vitro, including in vitro transcription, gel mobility shift assays, footprinting, and filter binding. Utilization of these methods can result in determination of not only basal promoter strength but also the rates of transcription initiation complex formation and decay.

Chromosome replication dynamics in the archaeon Sulfolobus acidocaldarius

The "baby machine" provides a means of generating synchronized cultures of minimally perturbed cells. We describe the use of this technique to establish the key cell-cycle parameters of hyperthermophilic archaea of the genus Sulfolobus. The 3 DNA replication origins of Sulfolobus acidocaldarius were mapped by 2D gel analysis to near 0 (oriC2), 579 (oriC1), and 1,197 kb (oriC3) on the 2,226-kb circular genome, and we present a direct demonstration of their activity within the first few minutes of a synchronous cell cycle. We also detected X-shaped DNA molecules at the origins in log-phase cells, but these were not directly associated with replication initiation or ongoing chromosome replication in synchronized cells. Whole-genome marker frequency analyses of both synchronous and log-phase cultures showed that origin utilization was close to 100% for all 3 origins per round of replication. However, oriC2 was activated slightly later on average compared with oriC1 and oriC3. The DNA replication forks moved bidirectionally away from each origin at approximately 88 bp per second in synchronous culture. Analysis of the 3 Orc1/Cdc6 initiator proteins showed a uniformity of cellular abundance and origin binding throughout the cell cycle. In contrast, although levels of the MCM helicase were constant across the cell cycle, its origin localization was regulated, because it was strongly enriched at all 3 origins in early S phase.

General stress response signalling: unwrapping transcription complexes by DNA relaxation via the sigma38 C-terminal domain

Escherichia coli responds to stress by a combination of specific and general transcription signalling pathways. The general pathways typically require the master stress regulator sigma38 (rpoS). Here we show that the signalling from multiple stresses that relax DNA is processed by a non-conserved eight-amino-acid tail of the sigma 38 C-terminal domain. By contrast, responses to two stresses that accumulate potassium glutamate do not rely on this short tail, but still require the overall C-terminal domain. In vitro transcription and footprinting studies suggest that multiple stresses can target a poised RNA polymerase and activate it by unwrapping DNA from a nucleosome-like state, allowing the RNA polymerase to escape into productive mode. This transition can be accomplished by either the DNA relaxation or potassium glutamate accumulation that characterizes many stresses.

Fur-dependent detoxification of organic acids by rpoS mutants during prolonged incubation under aerobic, phosphate starvation conditions

The activity of amino acid-dependent acid resistance systems allows Escherichia coli to survive during prolonged incubation under phosphate (P(i)) starvation conditions. We show in this work that rpoS-null mutants incubated in the absence of any amino acid survived during prolonged incubation under aerobic, P(i) starvation conditions. Whereas rpoS(+) cells incubated with glutamate excreted high levels of acetate, rpoS mutants grew on acetic acid. The characteristic metabolism of rpoS mutants required the activity of Fur (ferric uptake regulator) in order to decrease the synthesis of the small RNA RyhB that might otherwise inhibit the synthesis of iron-rich proteins. We propose that RpoS (sigma(S)) and the small RNA RyhB contribute to decrease the synthesis of iron-rich proteins required for the activity of the tricarboxylic acid (TCA) cycle, which redirects the metabolic flux toward the production of acetic acid at the onset of stationary phase in rpoS(+) cells. In contrast, Fur activity, which represses ryhB, and the lack of RpoS activity allow a substantial activity of the TCA cycle to continue in stationary phase in rpoS mutants, which decreases the production of acetic acid and, eventually, allows growth on acetic acid and P(i) excreted into the medium. These data may help explain the fact that a high frequency of E. coli rpoS mutants is found in nature.