- Research article
- Open Access
Oxygen limitation modulates pH regulation of catabolism and hydrogenases, multidrug transporters, and envelope composition in Escherichia coli K-12
BMC Microbiology volume 6, Article number: 89 (2006)
In Escherichia coli, pH regulates genes for amino-acid and sugar catabolism, electron transport, oxidative stress, periplasmic and envelope proteins. Many pH-dependent genes are co-regulated by anaerobiosis, but the overall intersection of pH stress and oxygen limitation has not been investigated.
The pH dependence of gene expression was analyzed in oxygen-limited cultures of E. coli K-12 strain W3110. E. coli K-12 strain W3110 was cultured in closed tubes containing LBK broth buffered at pH 5.7, pH 7.0, and pH 8.5. Affymetrix array hybridization revealed pH-dependent expression of 1,384 genes and 610 intergenic regions. A core group of 251 genes showed pH responses similar to those in a previous study of cultures grown with aeration. The highly acid-induced gene yagU was shown to be required for extreme-acid resistance (survival at pH 2). Acid also up-regulated fimbriae (fimAC), periplasmic chaperones (hdeAB), cyclopropane fatty acid synthase (cfa), and the "constitutive" Na+/H+ antiporter (nhaB). Base up-regulated core genes for maltodextrin transport (lamB, mal), ATP synthase (atp), and DNA repair (recA, mutL). Other genes showed opposite pH responses with or without aeration, for example ETS components (cyo,nuo, sdh) and hydrogenases (hya, hyb, hyc, hyf, hyp). A hypF strain lacking all hydrogenase activity showed loss of extreme-acid resistance. Under oxygen limitation only, acid down-regulated ribosome synthesis (rpl,rpm, rps). Acid up-regulated the catabolism of sugar derivatives whose fermentation minimized acid production (gnd, gnt, srl), and also a cluster of 13 genes in the gadA region. Acid up-regulated drug transporters (mdtEF, mdtL), but down-regulated penicillin-binding proteins (dacACD, mreBC). Intergenic regions containing regulatory sRNAs were up-regulated by acid (ryeA, csrB, gadY, rybC).
pH regulates a core set of genes independently of oxygen, including yagU, fimbriae, periplasmic chaperones, and nhaB. Under oxygen limitation, however, pH regulation is reversed for genes encoding electron transport components and hydrogenases. Extreme-acid resistance requires yagU and hydrogenase production. Ribosome synthesis is down-regulated at low pH under oxygen limitation, possibly due to the restricted energy yield of catabolism. Under oxygen limitation, pH regulates metabolism and transport so as to maximize alternative catabolic options while minimizing acidification or alkalinization of the cytoplasm.
Both pH and oxygen are important factors governing bacterial growth. Acid and base regulate many genes and proteins in Escherichia coli and related enteric bacteria [1–5]. Oxygen limitation regulates numerous genes such as those of the FNR and ArcA regulons [6, 7]. Some genes are known to be coinduced by acid and low oxygen, such as the amino-acid decarboxylases [8–10], whereas others are coinduced by base and low oxygen [5, 11]. For many genes, however, regulation has been characterized only with respect to pH or to oxygen, not for both factors. Transcriptomic studies of pH stress have focused mainly on aerated cultures [2, 12].
The intersection of two stress factors is rarely addressed in global responses studies. An exceptional example is Kustu's study of nitrogen and sulfur starvation in E. coli [13, 14], which reveal unexpected intersections of response; for example, while the RpoS regulon is induced for both nitrogen and sulfur starvation, certain elements of the regulon are induced under sulfur starvation but repressed under nitrogen starvation. The intersection of stress is important because natural environments show complex interaction of stress conditions. For example, Salmonella typhimurium grown intracellularly within macrophages show a protein profile very different from the protein profiles for isolated stresses such as acid stress and oxidative stress . The intersection of stress responses is highly relevant to bacterial growth under natural and medically relevant conditions.
Acid and base stress are key factors of the enteric environment. Bacteria grow and persist in the intestine within a moderate range of external pH 5–8 , but colonization requires transient survival through the stomach at pH 1–4  and subsequent exposure to pancreatic secretions at pH 10 . Growth of E. coli at moderately low or high pH levels (pH 5 to 6 or pH 8 to 9, respectively) induces protective responses that maintain internal pH homeostasis near pH 7.6 , and prepare the cell to survive future exposure to more extreme pH conditions that no longer permit growth [20, 21]. For example, growth in acid down-regulates the transport and catabolism of carbon sources whose breakdown generates excess acids . Growth at high pH increases proton uptake and minimizes proton export , Survival in extreme acid, either constitutive or up-regulated by moderate acid, is a key trait of gastrointestinal pathogens . Specific virulence factors, such as ToxR-ToxT in Vibrio cholerae  and the pH 6 antigen of Yersinia pestis , are up-regulated by acid. Acid stress also has important protective applications, for example contributing to food preservation by amplifying uptake of organic acids [26, 27].
Processes leading to either acidification or alkalinization commonly coincide with low oxygen. Acid and anaerobiosis co-induce the catabolic decarboxylases for lysine and arginine [8–10]; the hydrogenases Hyd-1 , Hyd-4 [29, 30], and formate-lyase complex FHL ; catabolic enzymes such as ManX and GapA [5, 11]; transporters such as the nickel transporter NikA ; and periplasmic proteins TolC and HdeA . Base and anaerobiosis up-regulate glutamate dehydrogenase ; the deaminases for tryptophan and serine [5, 11]; and periplasmic proteins such as ProX, OppA, and DegQ . Furthermore, responses commonly associated with "stationary phase," such as RpoS induction, often involve low-oxygen conditions combined with pH increase  or accumulation of fermentation acids such as acetate [33–36].
We used microarrays to survey pH-dependent gene expression in E. coli cultured under oxygen-limited conditions. Our experimental design enabled comparison with our previous study of pH-dependent genes in well aerated cultures. Our new study reveals patterns of pH response that require oxygen limitation, as well as pH responses that are independent of oxygen.
Oxygen-limited growth as a function of pH
E. coli W3110 was cultured in LBK buffered with a dibasic acid, HOMOPIPES, which provides good buffering capacity at both low and high pH . Oxygen limitation was achieved using growth in closed tubes, as conducted previously [5, 11, 37], under conditions that avoid the CO2 depletion that occurs during flushing with inert gases . Bacteria were cultured in medium buffered at pH 5.7, pH 7.0, and pH 8.5 respectively. The high and low pH values were chosen so as to achieve reproducible and comparable rates of growth. Both pH values are closer to neutrality than those used for aerated cultures , because the pH range for growth is narrower under oxygen limitation than it is for aerated cultures . A stationary-phase culture from unbuffered LBK medium was diluted into each of the three buffered media, and incubated until OD600= 0.2. Growth was logarithmic throughout this period, through approximately four to five doublings. The growth rates observed were 1.8 generations per hour (pH 7.0), 1.3 gen/h (pH 5.7), and 1.1 gen/h (pH 8.5), with uncertainty estimated at ± 0.2 gen/h. For array hybridization, our experimental design and analysis were consistent with the "consensus" recommendations of Allison  in that we included an ample number of biological replicates (five independent cultures for each growth condition), assuring high power of detection as well as a low false-positive rate.
Analysis of expression ratios
The cDNA from five independent cultures of each pH condition were hybridized to Affymetrix antisense E. coli arrays. Array data have been deposited at the NCBI Gene Expression Omnibus (accession GSE4556). For comparison, the array data from aerated cultures  are available (GSE4511).
The basis of variation in expression among the fifteen anaerobic cultures was tested globally by a principal components analysis of the expression indices determined by Affymetrix chip hybridization (Fig. 1). The principal components analysis transforms the data to a coordinate system in which the major part of the variation in the dataset lies along one axis, the first principal component; then the next greatest part of variation lies along the second axis, the second principal component of variation. Plotting the array data on these principal component axes of maximal variation allows the maximal separation of the data in two-dimensional space, and therefore aids in differentiating among the experimental trials.
Over the first two components of variation, the array hybridization signals (converted to expression indices) showed three well-separated groups, each identified with one of the pH conditions. Thus, the majority of variation among the arrays was clearly associated with the pH of the growth medium. The only other difference among these three cultures was the range of potassium concentration, which varied slightly with pH adjustment (approximately 150 mM–250 mM K+ in buffered LBK). As in our previous microarray study using the same culture medium , we saw no evidence of K+-dependent gene expression.
The principal components analysis indicates that our experiment successfully distinguished growth on the basis of pH. Furthermore, in our gene-by-gene comparison, many members of a given operon showed parallel profiles of expression among the three pH conditions, an indication that our observed expression ratios are consistent and biologically relevant.
To assess statistical significance of bacterial expression ratios, several different statistical methods are now used, such as a fold-change significance threshold , ranked t-tests , and Bayesian statistics [7, 41]. We chose the gene-by-gene ANOVA with Tukey's correction as a conservative and appropriate choice for comparing three experimental groups .
The expression indices for each gene and intergenic region among the three pH groups were compared using one-way ANOVA at a significance level of 0.001 [2, 42]. This means that approximately one false positive would be expected per thousand genes tested, or approximately seven false positives out of the Affymetrix gene set. A total of 1,384 genes and 610 intergenic regions (IG) showed at least one significant acid/base expression ratio (pH 5.7/pH 7.0; pH 7.0/pH 8.5; and/or pH 5.7/pH 8.5). The full list of expression indices and pH-dependent expression ratios are compiled in Additional file 1 (genes) and Additional file 2 (intergenic regions). 182 genes showed pH-dependent expression ratios of 4-fold or greater (log2 ratios ≥ 2); these are presented in Table 1.
Note that throughout our report (Tables 1, 3, 4, and Additional file 3), the three classes of expression ratios are presented as the quotient "acid/base" so that the log2 value of the ratio is positive for expression increased in acid (or decreased in base), and negative for expression increased in base (or decreased in acid). The ratio pH 5.7/pH 8.5 was used to designate genes as "acid up-regulated" or "base up-regulated." The terms "up-regulated" and "down-regulated" refer only to ratios of RNA abundance, without implying a regulatory mechanism [39, 40]. Values presented in bold font indicate significance based on Tukey's test, p ≤ 0.001.
Of the most highly acid-up-regulated genes under oxygen limitation (Table 1), only 20% appear previously as acid-up-regulated under aeration . Of the genes up-regulated by base under oxygen limitation, 20% are up-regulated in base under aeration, but also 10% are upregulated in acid under aeration . Overall, oxygen limitation had a substantial impact on the profile of pH-regulated genes.
The exposure of a given protein to external pH depends on cell location, in that the cytoplasmic pH is maintained near pH 7.6 in growing cells, whereas the outer membrane, periplasm, and periplasmic face of the inner membrane are exposed to external pH. The numbers of pH-dependent genes in these subcellular locations were compared. (Both aerobic  and oxygen-limited conditions were included in the totals compared.) pH-dependent expression was observed for 50% of genes encoding known periplasmic proteins, as compared to 47% of inner membrane proteins, 42% of outer membrane proteins, and 39% of non-ribosomal cytoplasmic proteins. Thus the protein composition of the periplasm appeared to be the most sensitive to external pH, wherease the cytoplasmic protein composition was the least pH-sensitive.
Core pH stress genes
A set of genes were identified that showed pH-dependent expression under oxygen limitation (Table 2) as well as reported previously under aeration . These were designated "core pH stress genes." A quarter of these core pH stress genes as yet have no known function, such as the highly acid-inducible membrane protein yagU, which showed the sixth-highest acid/base expression ratio (pH 5.7/pH 8.5) in Table 1.
The yagU gene encodes an uncharacterized protein putatively assigned to the inner membrane [43, 44]. We transduced a yagU::kanR allele from the Blattner collection  into our acid-resistant strain W3110. The yagU construct showed 3-fold lower acid resistance than the parent strain (19 ± 2% survival at pH 2, compared to 70 ± 6% for W3110).
Catabolic operons for sugar alcohols galactitol (gat) and sorbitol (srl) were both up-regulated in acid. Other genes of known function showing a high acid/base expression ratio included fimbriae (fimAC), periplasmic chaperones (hdeAB), cyclopropane fatty acid synthase (cfa), the "constitutive" Na+/H+ antiporter (nhaB), and about thirty unidentified proteins. Core pH genes up-regulated at high pH included maltodextrin transport (lamB, mal), ATP synthase (atp), envelope stress (cpxPR), and DNA repair (recA and mutL). These are consistent with previous reports of regulation (in aerated cultures) of mal , ATP synthase , cpxR , and SOS DNA repair .
Other genes systems showed oppositely directed acid/base responses in anaerobic versus aerobic conditions. In particular, several components of electron transport and the TCA cycle were acid-repressed under oxygen limitation, though up-regulated in acid with aeration . These include the ace, cyo, nuo, sdh, and suc operons. On the other hand, the hydrogenase gene hybA showed the opposite pattern (up in acid, anaerobically; in base, aerobically).
Acid/base expression ratios confirmed by real-time PCR
The pH dependence of representative genes was confirmed by real-time PCR of cultures grown under anaerobic conditions, as well as aerobic conditions based on Ref.  (Fig. 2). The real-time PCR expression ratios are shown for up-regulation in acid or in base, relative to expression at pH 7. For example, the gene encoding arginine decarboxylase, adiA, showed strong induction in acid under anaerobic conditions but showed no significant expression aerobically. These real-time PCR data are consistent with our array data, and with the known coinduction of adiA by acid and anaerobiosis . The yagU gene showed strong increase by acid both aerobically and anaerobically; this result was also consistent with the arrays.
The envelope stress protein cpxP  and the base-inducible tellurium resistance homolog alx [5, 48] showed mRNA levels increased at high pH. High-pH up-regulation was seen both aerobically and anaerobically. For alx, repression by acid below pH 7 was seen only under aerobic, not anaerobic conditions; this pattern was seen in the array data (Table 1, and Ref. ) as well as in the real-time PCR (Fig. 2).
Hydrogenases regulated by pH
E. coli fermentation generates substrates for hydrogenase enzymes, which interconvert hydrogen ions with hydrogen gas [49–51] and generate H2 from formate through association with formate dehydrogenase [31, 52, 53]. Several hydrogenases of E. coli respond to pH and oxygen level [31, 54], although the overall pattern remains unclear, especially at high pH.
We sought to clarify the pattern of expression of all the hydrogenases (hya, hyb, hyc, hyf) as well as hydrogenase assembly (hyp) as a function of pH. Real-time PCR was used to measure expression of one gene from each of the hydrogenase operons (Fig. 3). The log expression of each gene is normalized to its expression level at pH 7 with aeration. Under oxygen limitation, each hydrogenase operon showed higher expression in acid than in base. During growth with aeration, however, the acid/base effect was reversed: Each gene showed higher expression in base than in acid. The up-regulation at high pH was particularly strong for hycB (6-fold greater at pH 8.7 than pH 5.0) and hypF (4-fold).
Hydrogenase activity may be important at low pH for its contribution to expulsion of excess protons from the cytoplasm [49, 55, 56]. The importance of hydrogenase expression for pH stress was confirmed by the loss of acid resistance in a strain defective for hyp. We transduced a hypF::kan allele (strain provided by K. T. Shanmugam) into our W3110 strain. The hypF defect abolished all hydrogenase activity as tested by methylviologen assay. The effect of hypF on acid resistance was tested for cultures grown at pH 5 to stationary phase, an oxygen-limited condition in which acid resistance (survival at pH 2) is induced . The hypF defect decreased stationary-phase acid resistance to less than 3%, about 20-fold lower than the parent strain. No effect on acid survival was seen, however, in a strain defective for a single hydrogenase operon (hya, hyb, or hyc). Thus, hydrogenase activity by one or more of the hydrogenase systems was necessary for stationary-phase acid resistance.
Ribosome synthesis depressed by acid
Ribosome synthesis is found to be down-regulated under conditions in which energy yield is restricted, such as carbon starvation  or nitrogen and sulfur starvation . We found extensive down-regulation of virtually all genes encoding ribosome subunits during growth in acid under oxygen limitation (rpl,rpm, rps) (see Additional file 1). None of these genes show a significant effect of pH under aeration .
Catabolism regulated by pH
In aerated cultures, acid up-regulates genes for transport and catabolism of sugars and sugar derivatives outside the glucose pathways: ribose (rbs), galactitol (gat), sorbitol (srl, gut), and gluconate (gnd) . Under oxygen limitation, acid up-regulated additional catabolic enzymes and transporters for arabinose (ara), fuculose (fuc), gluconate (gnt), mannitol (mtl), and melibiose (mel) (see Additional file 3). At high pH, however, there was strong up-regulation of fructose catabolism (fruABKR) and the maltose regulon (mal) which breaks down maldodextrins to glucose. The acid up-regulation of gat  and the high-pH up-regulation of mal  were reported previously; regulation of the other catabolic systems was new to this report.
Fermentation of sugar alcohols  and sugar acids  may cause less acidification than does glucose fermentation. It was proposed that the pH-dependent selection of sugar substrates may be correlated with their relative degree of acidification of the growth medium. The net acidification of media during catabolism of various substrates was tested (Fig. 4). E. coli strain W3110 was grown anaerobically to stationary phase on half-strength LBK medium supplemented with different carbon sources: glucose, sorbitol, gluconate, and glucuronate. Glucose fermentation was associated with the largest degree of acidification. By contrast, sorbitol-supplemented medium showed a net increase in pH, whereas the sugar-acids showed relatively small acidification. The difference between glucose and the other supplemental substrates was especially pronounced at the lower starting pH (pH 4.8) where acidification must be limited to allow growth.
Several amino acid decarboxylase operons that showed exceptionally high acid/base ratios (Table 1) are known to be up-regulated by acid with anaerobiosis: the degradative lysine decarboxylase, cadBA [8, 10]; arginine decarboxylase, adiAYC [8, 9, 59]; and the glutamate decarboxylases, gadAXW and gadBC [20, 60, 61]. Under oxygen limitation, the gad genes also turned out to be among those most highly up-regulated at high pH (pH 8.5) compared to pH 7.0 (Table 1; Table 3). This is consistent with our previous reports that gadA and gadBC are up-regulated at high pH under anaerobiosis [5, 11, 62]. The entire series of genes in the vicinity of gadAXW (thirteen in all) showed the same pattern of induction at both low and high pH (Table 3), including the small RNA regulator gadY . This "pH stress region" included genes encoding the mdtEF multidrug transporter [64, 65] and the periplasmic acid-inducible chaperones hdeAB  as well as genes of unknown function, such as the OMP gene sly.
At high pH, deamination of amino acids is favored due to removal of ammmonium ion and production of fermentation acids . Under oxygen limitation, at high pH, the amino acid deaminases and transporters were up-regulated (see Additional file 3): tryptophanase, tnaAB, and serine deaminase, serABC and transporters for other amine-rich molecules: arginine (art) and spermidine/putrescine (pot). The tna and ser results are consistent with previous studies based on proteomics and lac fusions[5, 11]. The transport and interconversion of polyamines associated with amino-acid catabolism (spe, pot) was up-regulated at high pH. This finding is consistent with the report that polyamine stress in bacteria is amplified at high pH .
Multidrug resistance and ion transporters
Several ion transporters and multidrug resistance genes showed significant acid/base expression ratios under anaerobiosis (Table 4), some of which were confirmed by real-time PCR (Fig. 5). Nickel transport was increased by acid, consistent with our previous proteomic studies  and with the nickel requirement for hydrogenase activity up-regulated by acid under anaerobiosis . Additionally, growth in acid enhanced the expression of transporters for copper, silver, iron, and magnesium (copA, cusC, feoAB,mgtA,).
High pH up-regulated several genes in the ATP synthase operon (atp) , as confirmed by real-time PCR (Table 4; Fig. 5). The increased production of ATP synthase compensates for decreased proton-motive force at high pH . High pH also was associated with up-regulation of the Ca2+/H+ antiporter chaA (Fig. 5), while its regulators chaBC were down-regulated. The chaA antiporter is known to be up-regulated at high pH where it extrudes sodium ion . High pH also elevated expression of acridine efflux (acr), Mg2+ transport (corA), and the putative tellurium efflux locus alx.
The NhaA sodium-proton antiporter is known to contribute to pH regulation and sodium resistance at high pH with aeration , whereas the NhaB antiporter is thought to be expressed constitutively. Under oxygen limitation, nhaA and nhaB showed complex responses to pH and anaerobiosis (Fig. 5). Expression of nhaA was higher at both pH extremes than at pH 7, wherease the opposite pattern was seen for nhaB, which showed its highest expression at low pH. Under aeration, nhaB was up-regulated at pH 5.7.
At least seven multidrug resistance loci showed pH-dependent expression. Multidrug resistance loci up-regulated in acid included mdtEF, mdtG, mdtIJ, and mdtL [72, 73]. The mdtEF locus is part of the gad-evgA regulon . For mdtL, pH dependence has not been reported in aerated cultures. Base-enhanced or acid-repressed expression was seen for ampC , acr and emrA, of which the first two show no response with aeration. Thus, anaerobiosis appeared to increase the overall profile of pH-dependent drug resistance. Besides ampC, genes for several other penicillin-binding proteins (PBPs) associated with cell envelope formation (dac,mepA,mreBC) were down-regulated in acid.
Small regulatory RNAs
The inclusion of intergenic regions (IG) in the Affymetrix probe set revealed regions that express putative small-RNA regulators (sRNA) [76–78]. As shown in Additional file 2, under oxygen limitation, acid up-regulated four IGs that express sRNA molecules known for important roles in environmental response [76, 77]. The acid-up-regulated sRNAs included gadY, which activates acid-resistance genes gadWX ; the carbon storage global regulator csrB ; and two sRNA molecules of unknown function, ryeA and rybC .
Cross-regulation by other stress conditions
The pH-dependent genes show cross-regulation by various stress factors such as acetate, oxidative stress, and universal stress (annotated in Additional file 1). Anaerobic conditions increased to 197 the number of acetate stress genes up-regulated by acid in log phase (compare Refs. [33–35]). This confirms our prediction that even in early log phase, the small amounts of acetate produced are retained within the cell at high concentration due to the trans-membrane pH difference . Also up-regulated by acid under anaerobiosis were 108 oxidative stress genes up-regulated by H2O2, paraquat (PQ), or sodium salicylate (Sal) [80, 81]. 28 genes were down-regulated (indicated by minus sign, Sal-, PQ-). In addition, 21 acid-dependent genes were identified as universal stress genes .
Discussion and conclusion
Our study showed nearly twice as many pH-dependent genes under anaerobiosis as in aerated cultures . Thus, anaerobiosis appeared to magnify the effects of pH stress response in buffered LBK medium.
Over a hundred "core pH genes" showed parallel response to pH in anaerobic and in aerated cultures. These included genes for envelope maintenance functions, periplasmic proteins, and proton transporters, as well as many genes of unknown function. Further study will determine whether these genes have functions more fundamental to pH homeostasis than do those dependent on oxygen level. In addition, several systems of gene expression responded oppositely to pH with or without aeration, most notably components of electron transport and intermediary metabolism. Thus, central pathways of metabolism showed a surprisingly complex dependence on pH and oxygen.
Acid stress strongly affects the envelope and membranes
The outer and inner membranes receive direct exposure to external pH. A number of genes encoding outer membrane proteins as well as inner membrane proteins show pH-dependent expression in aerated cultures , and many more show pH dependence under oxygen limitation. A gene encoding an inner membrane protein, yagU, was identified as a requirement for acid resistance.
The fraction of genes showing pH dependence (with or without aeration) was particularly high in the periplasm, which is fully exposed to external pH due to proton leakage through the outer membrane. As many as half of all periplasmic proteins may show pH-regulated expression. These encode transporters such as AraR, ArtI, and PotD; periplasmic chaperones such as HdeA, HlpA, and FimC; heat-shock protein such as DegP, DegQ; and redox modulators such as DsbA.
Acid appeared to down-regulate the carbon-storage regulon (csr) whose effects include activation of flagellar synthesis and biofilm formation. Acid repressed genes encoding two activators of csrA, UvrY and LuxR-homolog SdiA  but up-regulated an IG that includes an antagonist of csrA, the sRNA csrB. Down-regulation of csr could be responsible for the decreased flagellar synthesis in acid under anaerobiosis.
Hydrogenases co-regulated by pH and anaerobiosis
Previous studies of E. coli hydrogenases emphasize the differences in environmental response of the different hydrogenase operons [28, 29, 31, 52]. For example Hyd-1 (hya) is reported to be up-regulated in acid, but Hyd-2 (hyb) is up-regulated in base, under anaerobiosis . Hyd-3 (hyc) evolves H2 at low pH, whereas Hyd-4 (hyf) is active at pH 7.5 [52, 83, 84]. Another report finds elevation of Hyd-3 and formate dehydrogenase H (Fdh-H) at pH 7.5 . These studies however tested a narrower range of pH than ours, particularly above pH 7. We found a consistent pattern of expression for all five hydrogenase operons (Fig. 5). All hydrogenases showed a high acid/base expression ratio under oxygen limitation, but a low ratio (up-regulated at high pH) in aerobic cultures. The loss of hydrogenase activity in a hypF defect eliminated acid resistance of cultures in stationary phase, a finding consistent with the need for hydrogenase expression in an oxygen-limited condition.
It will be of interest to pursue the overall role of hydrogenase activity at low pH versus high pH: Do the hydrogenases generally consume protons, as from formic acid, to reverse acidification; or do they contribute energy gain by splitting hydrogen gas? There is growing evidence for H2 as an energy source for H. pylori and other pathogens of the digestive tract .
Catabolism and ribosome synthesis are co-regulated by pH and anaerobiosis
A growing number of catabolic enzymes and catabolite transporters are known to be regulated by pH [2, 4, 86]. Under oxygen limitation, we found additional kinds of catabolism coregulated by pH and oxygen (see Additional file 3). Of particular interest, acid up-regulated the catabolism of sugar derivatives whose fermentation minimized acid production, including sorbitol, glucuronate, and gluconate (Fig. 4).
The large number of catatabolic operons up-regulated by acid in low oxygen was accompanied by dramatic down-regulation of ribosome biosynthesis. The depression of ribosome synthesis may be related to the restricted energy yield of anaerobic metabolism at low external pH, where production of fermentation acids must be limited. Anaerobic growth at low pH may induce a "carbon foraging" strategy similar to that described by Blattner and colleagues . The carbon foraging model states that under conditions where the energy yield of available catabolites is poor, the ribosomal operons are down-regulated and numerous operons for alternative carbon sources are activated. A similar pattern is seen under nitrogen and sulfur starvation , where translation and motility are down-regulated, while systems for scavenging nitrogen and sulfur are up-regulated.
The glutamate decarboxylase gadA region comprised an anaerobic "pH stress region" of thirteen genes strongly up-regulated by either acid or base compared to pH 7. The gad regulon includes the glutamate decarboxylases, gadA and gadBC, as well as low-pH chaperones hdeA and hdeB [12, 20]. While most studies of gad regulation focus on acid, we find that its expression is also up-regulated at high pH, or in LBK medium grown to stationary phase, where pH naturally increases [4, 5]. In the present work, at least thirteen ORFs in the gadA region showed the same pattern of pH response under anaerobiosis: strong induction in acid compared to pH 7 (ranging from 4-fold to 30-fold increase) with significant response at high pH (2-fold to 8-fold increase). Genes showing pH dependence included the mdtEF multidrug resistance locus as well as the outer membrane protein slp. Their regulation is known to be mediated by transcription factors GadX-GadW and EvgA-YdeO, as well as by RpoS, H-NS, and cyclic AMP [60, 61, 74]. The gad system enables cells to survive extreme acid , but The gadC locus is specifically required for cells grown at high pH to survive extreme acid . Gad regulon members may also contribute to E. coli base resistance, the ability to survive at or above pH 10 .
Multidrug resistance and ion transporters
Under oxygen limitation, acid conditions enhanced expression of many transporters, particularly for metal cations (Table 4). Transport of nickel and iron may be up-regulated in order to acquire nutrients for enzymes needed under acid-anaerobic conditions, such as hydrogenases. On the other hand, silver and copper efflux is up-regulated in order to exclude toxic concentrations of these metals . The solubility and environmental concentrations of these ions is likely to be increased at low pH.
Several proton pumps and cation-proton antiporters up-regulated at high pH showed increased induction at high pH (Figure 5). These included genes encoding the ATPase , Na+/H+ antiporter nhaA , and Ca2+/H+ antiporter chaA (which also functions with sodium). These pumps may enhance uptake or retention of cytoplasmic H+ as pH increases under anaerobiosis, where energetic options are limited. The nhaB antiporter , however, was down-regulated under anaerobic conditions, and most highly expressed in acid with aeration. NhaB may have a different function from NhaA in pH homeostasis at low pH.
In addition, several multidrug transporters were up-regulated by acid or base, often in association with physiological genes such as mdtEF within the gad regulon. These drug efflux transporters may have roles in physiology and pH stress resistance that select for their persistence in natural ecosystems [89, 90].
Cross-regulation by other stress factors
An interesting question regarding pH stress is, how much of "pH response" relates directly to pH as opposed to other growth factors, such as stationary phase or starvation-based growth limitation? The doubling rates of our cultures at low pH and high pH were similar, but this represents only one aspect of growth state. Many factors contribute to growth conditions such as stationary phase; for example, both high pH  and membrane-permeant acids that depress pH [33–36] are implicated in induction of the RpoS regulon. Starvation for various different nutrients can retard growth by different mechanisms  leading to common response patterns such as down-regulated translation and up-regulated scavenging pathways [39, 40].
Even at low cell density, moderate acid (pH 6–7) greatly amplifies the uptake of membrane-permeant weak acids such as acetate. In our array analysis, oxygen limitation substantially increased the number of acetate stress genes showing pH-dependent expression (see Additional file 1). Acetate and other permeant acids pass through the bacterial membrane and dissociate in the cytoplasm, causing accumulation of anion and depression of internal pH, inhibiting growth . Growth inhibition by short-chain fatty acids is a significant factor in bacterial colonization of the human colon .
Escherichia coli K-12 strain W3110 was obtained originally from Ruth VanBogelen in 1996, and is monitored regularly for RpoS-positive phenotypes including extreme-acid and extreme-base resistance. Bacteria were cultured as for Ref. , except that bacteria were grown in closed tubes. Bacteria were cultured in potassium-modified Luria broth (LBK) (10 g/l tryptone, 5 g/l of yeast extract, 7.45 g/l of KCl) buffered with 100 mM homopiperazine-N,N'-bis-2-(ethane-sulfonic acid) (HOMOPIPES) (pKa 4.55 and 8.12). The pH of the medium was adjusted using KOH to pH 5.7, 7.0, or 8.5. Bacteria were cultured overnight, then diluted 1:1000 into 8.5 ml of buffered medium in an 8.5-ml screw-cap test tube, and incubated at 37°C with slow rotation (8 rpm). Under this condition, oxygen disappears rapidly and anaerobic proteins are highly induced [5, 11]. Cultures were grown at 37°C to an optical density (OD600) of 0.2. For all cultures, the pH was tested after growth to ensure that the values were maintained at ± 0.2 pH unit of the pH of the original uninoculated medium.
Bacterial RNA was stabilized by immediately pouring 8 ml of culture into 16 ml of RNeasy Protect reagent (Qiagen). RNA was isolated as described previously  using the RNeasy Kit with on-column DNA digestion (Qiagen), with additional DNA removal using Ambion DNase.
cDNA preparation and array hybridization
Standard methods were used for cDNA synthesis, fragmentation and end-terminus biotin labeling . Labeled cDNA samples were hybridized to Affymetrix GeneChip E. coli Antisense Genome Arrays. Hybridized arrays were stained with streptavidin-phycoerythrin using the Affymetrix Fluidic Station. After staining, arrays were scanned with a GC2500 scanner.
Expression indices and statistical analysis
Model-based expression analysis was performed on the probe-level data from Affymetrix's DAT files using dChip software [2, 41, 94]. The model relates target RNA levels to the probe signals by a linear function that weights the significance of all oligo probes for each gene. The data from different arrays were normalized and re-scaled for comparison. Each array was normalized to a baseline array from a pH 7 culture, using local regression on an invariant set of probes . Model-based expression indices were calculated for each gene on each array using only the perfect match probes.
Global relationships among arrays were visualized by performing a principal component analysis  on the expression data and plotting arrays in two-dimensional space corresponding to the first two principal components. The gene expression profiles of the arrays were visualized in two-dimensional Euclidian space, by using BRB ArrayTools software v. 3.1 (developed by Richard Simon and Amy Peng Lam).
For each of the three pH conditions, the dataset included five biological replicates (independent with respect to E. coli growth, RNA isolation, sample preparation and array hybridization) To test for significant differences in expression between the pH classes, one-way ANOVA was performed on the log2 transformed model-based expression indices, on a gene-by-gene basis, at a significance level of 0.001 [2, 42]. For all genes in our data set, the median within-group variance was 0.031. Assuming a gene with average within-group variability, our sample size (five replicates for each of three conditions, 7,231 genes and intergenic regions per array) provided statistical power of 98 % to detect a 2-fold difference in gene expression among pH groups. For each gene that displayed significant differences in expression among the classes, pair-wise comparisons of pH classes were determined using Tukey's multiple comparisons procedure to control the family-wise error rate for the T test .
To explore categories of differential gene expression, the gene expression profiles of the arrays were visualized in two-dimensional Euclidian space, using BRB ArrayTools software. Categories of differential expression profiles across the pH classes were generated by a hierarchical cluster analysis of differentially expressed genes, based on the average linkage method .
Real-time quantitative RT-PCR
Expression of mRNA for individual genes was quantified by real-time PCR using an ABI Prism7500 DNA analyzer (Applied Biosystems). Primer Express Software v2.0 (Applied Biosystems) was used for primer design. The primers chosen had minimal GC content and amplified 50–70 bp segments of the target genes. The SYBR Green PCR One-Step RT-PCR protocol (Applied Biosystems) was used, in which cDNA reverse transcription and PCR amplification occur in the same well. Nucleic acid concentrations were: 0.1 nM forward primer, 0.1 nM reverse primer, and 50 ng target RNA. PCR cycling conditions were: reverse transcription at 48°C for 30 min, 95°C for 10 min, 40 cycles of denaturation at 92°C for 15 s, and extension at 60°C for 1 min. For detection of primer dimerization or other artifacts of amplification, a dissociation curve was run immediately after completion of the real-time PCR. Individual gene expression profiles were normalized based on measurement of the original RNA sample amplified. All expression levels are presented relative to the expression at pH 7.0 in aerated cultures.
Strain construction and extreme acid resistance
Strain construction was performed by phage P1 transduction . Mutant alleles containing a kanamycin resistance insertion (KmR) were transduced into an isolate of strain W3110 exhibiting strong acid resistance (stationary-phase survival at pH 2). E. coli strains were tested for acid resistance by exposure of stationary-phase cultures at pH 2.0 . Cultures were grown from a colony inoculated in LBK medium buffered with HOMOPIPES at pH 5 and incubated overnight at 37°C for 16 h. The overnight cultures were diluted 200-fold in LBK adjusted to pH 2, and incubated 2 h at 37°C. Serial dilutions were plated on LBK, and compared to plated dilutions of the original culture in medium at pH 7. Six plates from six independent cultures were obtained for each condition. Error values represent the standard error of the mean (SEM, n = 6).
E.coli strain W3110 was grown to stationary phase in closed tubes without headspace, containing half-strength LBK medium supplemented with one of the following carbon sources at 20 mM: glucose, sorbitol, potassium gluconate, or potassium glucuronate. Media were buffered with 5 mM HOMOPIPES, adjusted with KOH to pH 5.0 or pH 8.5. Overnight culture was diluted 500-fold into 8.5 ml of buffered medium in tubes without headspace, and rotated slowly at 37°C for 24 hours. The sorbitol-supplemented cultures were rotated for 48 hours due to their slow growth rate. After growth, the pH was measured. Change in pH was converted to net acid equivalents produced or consumed, based on a standard curve of HCl or KOH added to the original buffered medium.
Hydrogenase activity was observed by the methylviologen assay, based on the method of . Stationary-phase cultures in LBK medium were washed and resuspended in 5 mM K2HPO4 pH 7, 5 mM cysteine, 10 mM benzylviologen, and sealed under hydrogen gas. Purple color change was measured to indicate wild-type hydrogenase activity.
Foster JW: Escherichia coli acid resistance: tales of an amateur acidophile. Nature Reviews Microbiology. 2004, 2: 898-907. 10.1038/nrmicro1021.
Maurer LM, Yohannes E, BonDurant SS, Radmacher M, Slonczewski JL: pH regulates genes for flagellar motility, catabolism, and oxidative stress in Escherichia coli K-12. J Bacteriol. 2005, 187: 304-319. 10.1128/JB.187.1.304-319.2005.
Slonczewski JL, Foster JW: pH-regulated genes and survival at extreme pH. Escherichia coli and Salmonella: cellular and molecular biology. Edited by: Neidhardt, F C, III, Ingraham JL, Lin ECC, Low KB, Magasanik B, Reznikoff WS, Riley M, Schaechter M, Umbarger HE. 1996, Washington, DC , ASM Press, 1: 1539-1549. 2
Stancik LM, Stancik DM, Schimidt B, Barnhart DM, Yoncheva YN, Slonczewski. JL: pH-dependent expression of periplasmic proteins and amino acid catabolism in Escherichia coli. J Bacteriol. 2002, 184: 4246-4258. 10.1128/JB.184.15.4246-4258.2002.
Yohannes E, Barnhart DM, Slonczewski JL: pH-dependent catabolic protein expression during anaerobic growth of Escherichia coli K-12. J Bacteriol. 2004, 186: 192-199. 10.1128/JB.186.1.192-199.2004.
Salmon K, Hung SP, Mekjian K, Baldi P, Hatfield GW, Gunsalus RP: Global gene expression profiling in Escherichia coli K12: the effects of oxygen availability and FNR. J Biol Chem. 2003, 278: 29837-29855. 10.1074/jbc.M213060200.
Salmon KA, Hung SP, Steffen NR, Krupp R, Baldi P, Hatfield GW, Gunsalus RP: Global gene expression profiling in Escherichia coli K-12: effects of oxygen availability and ArcA. J Biol Chem. 2005, 280: 15084-15096. 10.1074/jbc.M414030200.
Auger EA, Redding KE, Plumb T, Childs LC, Meng SY, Bennett GN: Construction of lac fusions to the inducible arginine and lysine decarboxylase genes of Escherichia coli K-12. Mol Microbiol. 1989, 3: 609-620.
Gong S, Richard H, Foster JW: YjdE (AdiC) is the arginine:agmatine antiporter essential for arginine-dependent acid resistance in Escherichia coli. J Bacteriol. 2003, 185: 4402-4409. 10.1128/JB.185.15.4402-4409.2003.
Neely MN, Dell CL, Olson ER: Roles of LysP and CadC in mediating the lysine requirement for acid induction of the Escherichia coli cad operon. J Bacteriol. 1994, 176: 3278-3285.
Blankenhorn DJ, Phillips J, Slonczewski JL: Acid- and base-induced proteins during aerobic and anaerobic growth of Escherichia coli revealed by two-dimensional gel electrophoresis. J Bacteriol. 1999, 181: 2209-2216.
Tucker DL, Tucker N, Conway T: Gene expression profiling of the pH responses in Escherichia coli. J Bacteriol. 2002, 184: 6551-6558. 10.1128/JB.184.23.6551-6558.2002.
Gyaneshwar P, Paliy O, McAuliffe J, Jones A, Jordan MI, Kustu S: Lessons from Escherichia coli genes similarly regulated in response to nitrogen and sulfur limitation. Proc Natl Acad Sci. 2005 , U S A , 102: 3453-3458. 10.1073/pnas.0500141102.
Gyaneshwar P, Paliy O, McAuliffe J, Popham DL, Jordan MI, Kustu S: Sulfur and nitrogen limitation in Escherichia coli K-12: specific homeostatic responses. J Bacteriol. 2005 , 187 (3): 1074-1090. 10.1128/JB.187.3.1074-1090.2005.
Abshire KZ, Neidhardt FC: Analysis of proteins synthesized by Salmonella typhimurium during growth within a host macrophage. 1993, 175 (12): 3734-3743.
Evans DF, Pye G, Bramley R, Clark AG, Dyson TJ, Hardcastle JD: Measurement of gastrointestinal pH profiles in normal ambulant human subjects. Gut. 1988, 29: 1035-1041.
Dressman JB, Berardi RR, Dermentzoglou LC, Russel TL, Schmaltz SP, Barnett JL, Jarvenpaa KM: Upper gastrointestinal (GI) pH in young, healthy men and women. Pharmaceutical Research. 1990, 7: 756-761. 10.1023/A:1015827908309.
Giannella RA, Broitman SA, Zamcheck N: Influence of gastric acidity on bacterial and parasitic enteric infections. Ann Intern Med. 1973, 78: 271-276.
Slonczewski JL, Rosen BP, Alger JR, Macnab RM: pH homeostasis in Escherichia coli: measurement by 31P nuclear magnetic resonance of methylphosphonate and phosphate. Proc Natl Acad Sci. 1981, USA , 78: 6271-6275. 10.1073/pnas.78.10.6271.
Ma Z, Richard H, Tucker DL, Conway T, Foster JW: Collaborative regulation of Escherichia coli glutamate-dependent acid resistance by two AraC-like regulators, GadX and GadW (YhiW). J Bacteriol. 2002, 184: 7001-7012. 10.1128/JB.184.24.7001-7012.2002.
Small P, Blankenhorn D, Welty D, Zinser E, Slonczewski JL: Acid and base resistance in Escherichia coli and Shigella flexneri: role of rpoS and growth pH. J Bacteriol. 1994, 176: 1729-1737.
Chagneau C, Heyde M, Alonso S, Portalier R, Laloi P: External-pH-dependent expression of the maltose regulon and ompF gene in Escherichia coli is affected by the level of glycerol kinase, encoded by glpK. J Bacteriol. 2001, 183: 5675-5683. 10.1128/JB.183.19.5675-5683.2001.
Merrell DS, Camilli A: Acid tolerance of gastrointestinal pathogens. Curr Opin Microbiol. 2002, 5: 51-55. 10.1016/S1369-5274(02)00285-0.
Behari J, Stagon L, Calderwood SB: pepA, a gene mediating pH regulation of virulence genes in Vibrio cholerae. J Bacteriol. 2001, 183: 178-188. 10.1128/JB.183.1.178-188.2001.
Payne D, Tatham D, D.Williamson E, Titball RW: The pH 6 antigen of Yersinia pestis binds to beta1-linked galactosyl residues in glycosphingolipids. Infect Immun. 1998, 66: 4545-4548.
Salmond CV, Kroll RG, Booth I: The effect of food preservatives on pH homeostasis in Escherichia coli. J General Microbiol. 1984, 130: 2845-2850.
Skandamis PN, Nychas GJE: Development and evaluation of a model predicting the survival of Escherichia coli O157:H7 NCTC 12900 in homemade eggplant salad at various temperatures, pHs, and oregano essential oil concentrations. Appl Envir Microbiol. 2000, 66: 1646-1653. 10.1128/AEM.66.4.1646-1653.2000.
King PW, Przybyla AE: Response of hya expression to external pH in Escherichia coli. J Bacteriol. 1999, 181: 5250-5256.
Self WT, Hasona A, Shanmugam KT: Expression and regulation of a silent operon, hyf, coding for hydrogenase 4 isoenzyme in Escherichia coli. J Bacteriol. 2004, 186: 580-587. 10.1128/JB.186.2.580-587.2004.
Skibinski DAG, Golby P, Chang YS, Sargent F, Hoffman R, Harper R, Guest JR, Atwood MM, Berks BC, Andrews SC: Regulation of the hydrogenase-4 operon of Escherichia coli by the σ54-dependent transcriptional activators FhlA and HyfR. J Bacteriol. 2002, 184: 6642-6653. 10.1128/JB.184.23.6642-6653.2002.
Rossmann R, Sawers G, Böck A: Mechanism of regulation of the formate-hydrogenlyase pathway by oxygen, nitrate, and pH: definition of the formate regulon. Mol Microbiol. 1991, 5: 2807-2814.
Farrell MJ, Finkel SE: The growth advantage in stationary-phase phenotype conferred by rpoS mutations is dependent on the pH and nutrient environment. J Bacteriol. 2003, 185: 7044-7052. 10.1128/JB.185.24.7044-7052.2003.
Arnold CN, McElhanon J, Lee A, Leonhart R, Siegele DA: Global analysis of Escherichia coli gene expression during the acetate-induced acid tolerance response. J Bacteriol. 2001, 183: 2178-2186. 10.1128/JB.183.7.2178-2186.2001.
Kirkpatrick C, Maurer LM, Oyelakin NE, Yoncheva YN, Maurer R, Slonczewski JL: Acetate and formate stress: opposite responses in the proteome of Escherichia coli. J Bacteriol. 2001, 183: 6466-6477. 10.1128/JB.183.21.6466-6477.2001.
Polen T, Rittmann D, Wendisch VF, Sahm H: DNA microarray analysis of the long term adaptive response of Escherichia coli to acetate and propionate. Applied and Environmental Microbiol. 2003, 69: 1759-1774. 10.1128/AEM.69.3.1759-1774.2003.
Schellhorn HE, Stones VL: Regulation of katF and katE in Escherichia coli K-12 by weak acids. J Bacteriol. 1992, 174: 4769-4776.
Merlin C, Masters M, McAteer S, Coulson A: Why is carbonic anhydrase essential to Escherichia coli?. Journal of Bacteriology. 2003, 185: 6415-6424. 10.1128/JB.185.21.6415-6424.2003.
Allison DB, Cui X, Page GP, Sabripour M: Microarray data analysis: from disarray to consolidation and consensus. Nat Rev Genet. 2006, 7: 55-65. 10.1038/nrg1749.
Liu M, Durfee T, Cabrera JE, Zhao K, Jin DJ, Blattner FR: Global transcriptional programs reveal a carbon source foraging strategy by Escherichia coli. J Biol Chem. 2005, 280: 15921-15927. 10.1074/jbc.M414050200.
Gyaneshwar P, Paliy O, McAuliffe J, Jones A, Jordan MI, Kustu S: Lessons from Escherichia coli genes similarly regulated in response to nitrogen and sulfur limitation. Proc Natl Acad Sci. 2005, 102: 3453-3458. 10.1073/pnas.0500141102.
Hung SP, Baldi P, Hatfield GW: Global gene expression profiling in Escherichia coli K12. The effects of leucine-responsive regulatory protein. J Biol Chem. 2002, 277: 40309-40323. 10.1074/jbc.M204044200.
Simon RM, Korn EL, McShane LM, Radmacher MD, Wright GW, Zhao Y: Design and Analysis of DNA Microarray Investigations. 2004, Berlin. , Springer
Rapp M, Drew D, Daley DO, Nilsson J, Carvalho T, Melén K, De Gier J, Von Heijne G: Experimentally based topology models for E. coli inner membrane proteins . Protein Sci. 2004, 13: 937-945. 10.1110/ps.03553804.
Stenberg F, Chovanec P, Maslen SL, Robinson CV, Ilag LL, von Heijne G, Daley DO: Protein Complexes of the Escherichia coli Cell Envelope. JBC. 2005, 280: 34409-34419. 10.1074/jbc.M506479200.
Kang Y, Durfee T, Glasner JD, Qiu Y, Frisch D, Winterberg KM, Blattner FR: Systematic mutagenesis of the Escherichia coli genome. J Bacteriol. 2004, 186: 4921-4930. 10.1128/JB.186.15.4921-4930.2004.
DiGiuseppe PA, Silhavy TJ: Signal detection and target gene induction by the CpxRA two-component system. J Bacteriol. 2003, 185: 2432-2440. 10.1128/JB.185.8.2432-2440.2003.
Schuldiner S, Agmon V, Brandsma J, Cohen A, Friedman E, Padman E: Induction of SOS function by alkaline intracellular pH in Escherichia coli. J Bacteriol. 1986, 168: 936-939.
Bingham RJ, Hall KS, Slonczewski JL: Alkaline induction of a novel gene locus, alx, in Escherichia coli. J Bacteriol. 1990, 172: 2184-2186.
Lutz S, Jacobi A, Schlensog V, Bohm R, Sawers G, Bock A: Molecular characterization of an operon (hyp) necessary for the activity of the three hydrogenase isoenzymes in Escherichia coli. Mol Microbiol. 1991, 5: 123-135.
Sawers RG, Blokesch M, Böck A: Anaerobic formate and hydrogen metabolism. In R Curtiss III et al (ed), EcoSal-Escherichia coli and Salmonella: cellular and molecular biology, Module 354 [Online] http://wwwecosalorg. 2004, Washington, D.C. , ASM Press
Vignais PM, Colbeau A: Molecular biology of microbial hydrogenases. Curr Issues Mol Biol. 2004, 6: 159-188.
Mnatsakanyan N, Bagramyan K, Trchounian A: Hydrogenase 3 but not hydrogenase 4 is major in hydrogen gas production by Escherichia coli formate hydrogenlyase at acidic pH and in the presence of external formate. Cell Biochem Biophys. 2004, 4: 357-366. 10.1385/CBB:41:3:357.
Self WT, Hasona A, Shanmugam KT: N-terminal truncations in the FhlA protein result in formate- and MoeA-independent expression of the hyc (formate hydrogenlyase) operon of Escherichia coli. Microbiology. 2001, 147: 3093-3104.
Mnatsakanyan N, Vassilian A, Navasardyan L, Bagramyan K, Trchounian A: Regulation of Escherichia coli formate hydrogenlyase activity by formate at alkaline pH. Curr Microbiol. 2002, 45: 281-286. 10.1007/s00284-002-3764-z.
Hube M, Blokesch M, Böck A: Network of hydrogenase maturation in Escherichia coli: role of accessory proteins HypA and HybF. J Bacteriol. 2002, 184: 3879-3885. 10.1128/JB.184.14.3879-3885.2002.
Paschos A, Bauer A, Zimmermann A, Zehelein E, Böck A: HypF, a carbamoyl phosphate-converting enzyme involved in [NiFe] hydrogenase maturation. J Biol Chem. 2002, 277: 49945-49951. 10.1074/jbc.M204601200.
Mayer C, Boos W: Hexose/pentose and hexitol/pentitol metabolism. In R Curtiss III et al (ed), EcoSal-Escherichia coli and Salmonella: cellular and molecular biology, Module 341 [Online] http://wwwecosalorg. 2005, Washington, D.C. , ASM Press
Mandrand-Berthelot MA, Condemine G, Hugouvieux-Cotte-Pattat N: Catabolism of hexuronides, hexuronates, aldonates, and aldarates. In R Curtiss III et al (ed), EcoSal-Escherichia coli and Salmonella: cellular and molecular biology, Module 342 [Online] http://wwwecosalorg. 2004, Washington, D.C. , ASM Press
Stim-Herndon KP, Flores TM, Bennett GN: Molecular characterization of adiY, a regulatory gene which affects expression of the biodegradative acid-induced arginine decarboxylase gene (adiA) of Escherichia coli. Microbiology. 1996, 142: 1311-1320.
Castanie-Cornet M, Foster JW: Escherichia coli acid resistance: cAMP receptor protein and a 20 bp cis-acting sequence control pH and stationary phase expression of the gadA and gadBC glutamate decarboxylase genes. Microbiology. 2001, 147: 709-715.
Tucker DL, Tucker N, Ma Z, Foster JW, Miranda RL, Cohen PS, Conway T: Genes of the GadX-GadW regulon in Escherichia coli. J Bacteriol. 2003, 185: 3190-3201. 10.1128/JB.185.10.3190-3201.2003.
Hersh BM, Farooq FT, Barstad DN, Blankenhorn D, Slonczewski JL: A glutamate-dependent acid resistance gene in Escherichia coli. J Bacteriol. 1996, 178: 3978-3981.
Opdyke JA, Kang JG, Storz G: GadY, a small-RNA regulator of acid response genes in Escherichia coli. J Bacteriol. 2004, 186: 6698-6705. 10.1128/JB.186.20.6698-6705.2004.
Hirakawa H, Inazumi Y, Masaki T, Hirata T, Yamaguchi A: Indole induces the expression of multidrug exporter genes in Escherichia coli. Mol Microbiol. 2005, 55: 1113-1126. 10.1111/j.1365-2958.2004.04449.x.
Nishino K, Yamaguchi A: EvgA of the two-component signal transduction system modulates production of the YhiUV multidrug transporter in Escherichia coli. J Bacteriol. 2002, 184: 2319-2323. 10.1128/JB.184.8.2319-2323.2002.
Gajiwala KS, Burley SK: HDEA, a periplasmic protein that supports acid resistance in pathogenic enteric bacteria. J Mol Biol. 2000, 295: 605-612. 10.1006/jmbi.1999.3347.
Yohannes E, Thurber AE, Wilks JC, Tate DP, Slonczewski JL: Polyamine stress at high pH in Escherichia coli K-12. BMC Microbiology. 2005, 5: 59-10.1186/1471-2180-5-59.
Rowe JL, Starnes GL, Chivers PT: Complex transcriptional control links nikABCDE-dependent nickel transport with hydrogenase expression in Escherichia coli. J Bacteriol. 2005, 187: 6317-6323. 10.1128/JB.187.18.6317-6323.2005.
Kasimoglu E, Park S, Malek J, Tseng CP, Gunsalus RP: Transcriptional regulation of the proton-translocating ATPase (atpIBEFHAGDC) operon of Escherichia coli: Control by cell growth. J Bacteriol. 1996, 178: 5563-5567.
Shijuku T, Yamashino T, Ohashi H, Saito H, Kakegawa T, Ohta M, Kobayashi H: Expression of chaA, a sodium ion extrusion system of Escherichia coli, is regulated by osmolarity and pH. Biochem Biophys Acta. 2002, 1556: 142-148. 10.1016/S0005-2728(02)00345-6.
Pinner E, Kotler Y, Padan E, Schuldiner S: Physiological role of nhaB, a specific Na+/H+ antiporter in Escherichia coli. J Biol Chem. 1993, 268: 1729-1734.
Nishino K, Yamaguchi A: Analysis of a complete library of putative drug transporter genes in Escherichia coli. J Bacteriol. 2001, 183: 5803-5812. 10.1128/JB.183.20.5803-5812.2001.
Sulavik MC, Houseweart C, Cramer C, Jiwani N, Murgolo N, Greene J, DiDomenico B, Shaw KJ, Miller GH, Hare R, Shimer G: Antibiotic susceptibility profiles of Escherichia coli strains lacking multidrug efflux pump genes. Antimicrob Agents Chemother. 2001, 45: 1126-1136. 10.1128/AAC.45.4.1126-1136.2001.
Masuda N, Church G: Regulatory network of acid resistance in Escherichia coli. Mol Microbiol. 2003, 48: 699-712. 10.1046/j.1365-2958.2003.03477.x.
Henderson TA, Young KD, Denome SA, Elf PK: AmpC and AmpH, proteins related to the class C -lactamases, bind penicillin and contribute to the normal morphology of Escherichia coli. J Bacteriol. 1997, 179: 6112-6121.
Altuvia S: Regulatory small RNAs: the key to coordinating global regulatory circuits. J Bacteriol. 2004, 186: 6679-6680. 10.1128/JB.186.20.6679-6680.2004.
Argaman L, Hershberg R, Vogel J, Bejerano G, Gerhart E, Wagner H, Margalit H, Altuvia S: Novel small RNA-encoding genes in the intergenic regions of Escherichia coli. Curr Biol. 2001, 11: 941-950. 10.1016/S0960-9822(01)00270-6.
Masse E, Majdalani N, Gottesman S: Regulatory roles for small RNAs in bacteria. Current Opinions in Microbiol. 2003, 6: 120-124. 10.1016/S1369-5274(03)00027-4.
Suzuki K, Wang X, Weilbacher T, Pernestig AK, Melefors O, Georgellis D, Babitzke P, Romeo T: Regulatory circuitry of the CsrA/CsrB and BarA/UvrY systems of Escherichia coli. J Bacteriol. 2002, 184: 5130-5140. 10.1128/JB.184.18.5130-5140.2002.
Pomposiello P, Bennik MHJ, Demple B: Genome-wide transcriptional profiling of Escherichia coli responses to superoxide stress and sodium salicylate. J Bacteriol. 2001, 183: 3890-3920. 10.1128/JB.183.13.3890-3902.2001.
Zheng M, Wang X, Templeton LJ, Smulski DR, LaRossa RA, Storz G: DNA microarray-mediated transcriptional profiling of the Escherichia coli response to hydrogen peroxide. J Bacteriol. 2001, 183: 4562-4570. 10.1128/JB.183.15.4562-4570.2001.
Weber H, Polen T, Heuveling J, Wendisch VF, Hengge R: Genome-wide analysis of the general stress response network in Escherichia coli: S-dependent genes, promoters, and sigma factor selectivity. J Bacteriol. 2005, 187: 1591-1603. 10.1128/JB.187.5.1591-1603.2005.
Andrews SC, Berks BC, McClay J, Ambler A, Quail MA, Golby P, Guest JR: A 12-cistron Escherichia coli operon (hyf) encoding a putative proton-translocating formate hydrogenlyase system. Microbiology. 1997, 143: 3633-3647.
Bagramyan K, Mnatsakanyan N, Poladian A, Vassilian A, Trchounian A: The roles of hydrogenases 3 and 4, and the F0F1-ATPase, in H2 production by Escherichia coli at alkaline and acidic pH. FEBS Lett. 2002, 516: 172-178. 10.1016/S0014-5793(02)02555-3.
Olson JW, Maier RJ: Molecular hydrogen as an energy source for Helicobacter pylori. Science. 2002, 298: 1788-1790. 10.1126/science.1077123.
Foster JW: Microbial responses to acid stress. In G Storz, and R Hengge-Aronis (ed), Bacterial stress responses. 2000, Washington, D.C. , ASM Press, 99-115.
Yamamoto K, Ishihama A: Transcriptional response of Escherichia coli to external copper. Mol Microbiol. 2005, 56: 215-227. 10.1111/j.1365-2958.2005.04532.x.
Taglicht D, Padan E, Schuldiner S: Overproduction and purification of a functional Na+/H+ antiporter coded by nhaA (ant) from Escherichia coli. J Biol Chem. 1991, 266: 11289-11294.
Krulwich TA, Lewinson O, Padan E, Bibi E: Opinion: Do physiological roles foster persistence of drug/multidrug-efflux transporters? A case study. Nat Rev Microbiol. 2005, 3: 566-572. 10.1038/nrmicro1181.
Lewinson O, Padan E, Bibi E: Alkalitolerance: a biological function for a multidrug transporter in pH homeostasis. Proc Natl Acad Sci USA. 2004, 101: 14073-14078. 10.1073/pnas.0405375101.
Peterson CN, Mandel MJ, Silhavy TJ: Escherichia coli starvation diets: essential nutrients weigh in distinctly. J Bacteriol. 2005, 187: 7549-7553. 10.1128/JB.187.22.7549-7553.2005.
Russell JB, Diez-Gonzalez F: The effect of fermentation acids on bacterial growth. Adv Microb Physiol. 1998, 39: 205-234.
Cummings JH, Pomare EW, Branch WJ, Naylor CP, Macfarlane GT: Short chain fatty acids in human large intestine, portal, hepatic and venous blood. Gut. 1997, 28: 1221-1227.
Li C, Wong WH: DNA-Chip Analyzer (dChip). In The analysis of gene expression data: methods and software G Parmigiani, E S Garrett, R Irizarry, and S L Zeger Springer-Verlag. 2003
Schadt EE, Li C, Su C, Wong WH: Analyzing high-density oligonucleotide gene expression array data. Journal of Cellular Biochemistry. 2001, 80: 192-202. 10.1002/1097-4644(20010201)80:2<192::AID-JCB50>3.0.CO;2-W.
Yeung KY, Ruzzo WL: Principal component analysis for clustering gene expression data. Bioinformatics. 2001, 17: 763-774. 10.1093/bioinformatics/17.9.763.
Eisen MB, Spellman PT, Brown PO, Botstein D: Cluster analysis and display of genome-wide expression patterns. Proc Natl Acad Sci USA. 1998, 95: 14863-14868. 10.1073/pnas.95.25.14863.
Hersh BM, Farooq FT, Barstad DN, Blankenhorn DL, Slonczewski JL: A glutamate-dependent acid resistance gene in Escherichia coli. Journal of Bacteriology. 1996, 178: 3978-3981.
Lee JH, Patel P, Sankar P, Shanmugam KT: Isolation and characterization of mutant strains of Escherichia coli altered in H2 metabolism. J Bacteriol. 1985, 162: 344-352.
This work was supported by grant MCB-0234732 from the National Science Foundation, and by undergraduate research funds from the Kenyon College grant from the Howard Hughes Medical Institute Biological Sciences Education Program. We thank K. T. Shanmugam and F. Blattner for their generous gift of strains.
ETH designed the microarray analysis, conducted the experiments and analyzed results, and wrote the first draft manuscript, in consultation with JLS. JCW contributed experiments, produced figures, and helped draft the manuscript. PS constructed and tested the hydrogenase mutant. EY and DPT contributed experiments. MDR and BDJ conducted statistical analysis. SSB supervised the array hybridizations. JLS finalized the analysis and completed the manuscript. All authors have read and approved the final manuscript.