Journal of Bacteriology, April 2001, p. 2178-2186, Vol. 183, No. 7
0021-9193/01/$04.00+0 DOI: 10.1128/JB.183.7.2178-2186.2001
Copyright © 2001, American Society for Microbiology. All rights reserved.


Department of Biology, Texas A&M University, College Station, Texas 77843-3258
Received 22 November 2000/Accepted 17 January 2001
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ABSTRACT |
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The ability of Escherichia coli to survive at low pH is strongly affected by environmental factors, such as composition of the growth medium and growth phase. Exposure to short-chain fatty acids, such as acetate, proprionate, and butyrate, at neutral or nearly neutral pH has also been shown to increase acid survival of E. coli and Salmonella enterica serovar Typhimurium. To investigate the basis for acetate-induced acid tolerance in E. coli O157:H7, genes whose expression was altered by exposure to acetate were identified using gene arrays. The expression of 60 genes was reduced by at least twofold; of these, 48 encode components of the transcription-translation machinery. Expression of 26 genes increased twofold or greater following treatment with acetate. This included six genes whose products are known to be important for survival at low pH. Five of these genes, as well as six other acetate-induced genes, are members of the E. coli RpoS regulon. RpoS, the stress sigma factor, is known to be required for acid tolerance induced by growth at nonlethal low pH or by entry into stationary phase. Disruption of the rpoS gene by a transposon insertion mutation also prevented acetate-induced acid tolerance. However, induction of RpoS expression did not appear to be sufficient to activate the acid tolerance response. Treatment with either NaCl or sodium acetate (pH 7.0) increased expression of an rpoS::lacZ fusion protein, but only treatment with acetate increased acid survival.
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INTRODUCTION |
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In order to colonize their mammalian hosts, both commensal and pathogenic enteric bacteria must survive passage through the low-pH environment of the stomach. Enteric bacteria must also cope with acid stress in the intestine. Although the pH of the intestine is near neutral, there are high concentrations of short-chain fatty acids (SCFA), produced as fermentation products by the intestinal microflora. The concentration of organic acids in the human intestinal tract is estimated to be 12 mmol/kg in the ileum and ranges from 70 to 120 mmol/kg in the large intestine (14). Because the protonated form of SCFA equilibrates across the cytoplasmic membrane, SCFA can lower internal pH even when the external pH is neutral (12, 46, 48). In vitro, SCFA can have bacteriostatic and/or bactericidal effects depending upon their concentration, the pH, and other conditions (12, 47).
There is likely to be overlap in the mechanisms that confer resistance to acid pH and the mechanisms that confer resistance to SCFA. The ability to survive acid conditions is greatly enhanced by the addition of SCFA, such as acetate, proprionate, and butyrate, at neutral or near neutral pH to exponential-phase cultures of Escherichia coli (21) and Salmonella enterica serovar Typhimurium (27). In addition, induction of the acid tolerance response by growth at moderately acidic pH (pH 5.0 to 5.8), which dramatically increases acid survival in both E. coli and serovar Typhimurium (17, 19), has been shown to protect Salmonella against SCFA (5).
Expression profiling is a powerful tool for analyzing gene expression at a genomic scale. It can be used to compare global changes in gene expression that occur in response to an environmental stimulus or to compare the effects of genetic changes on gene expression. This analysis can provide important information about cell physiology and has the potential to identify connections between regulatory or metabolic pathways that were not previously known. The use of gene arrays to analyze gene expression has been used extensively for eukaryotic systems (16, 26). Recently its usefulness for analyzing gene expression in prokaryotes has also been demonstrated (3, 42, 53, 57).
To identify functions involved in the SCFA-induced acid tolerance response, gene arrays were used to characterize the changes in gene expression induced by acetate treatment of E. coli O157:H7. We also examined the ability of acetate at neutral pH to enhance resistance of E. coli O157:H7 and E. coli K-12 strains to oxidative stress and heat killing as well as to confer resistance to acid pH.
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MATERIALS AND METHODS |
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Bacterial strains and growth conditions.
The bacterial
strains used in this study were RZ4500 (E. coli K-12 MG1655
lacZ
145) from Tricia Kiley, University of
Wisconsin-Madison; DS352 (MG1655 lacZ
145
rpoS::Tn10) (this laboratory); ATCC 43888 (E. coli O157:H7); JOE1 (ATCC 43888
rpoS::kan); and RO91 (MC4100 [
RZ5:rpoS742::lacZ(Hyb)]), from
Regine Hengge-Aronis, Free University of Berlin (28). The
rpoS::kan allele (7)
was introduced into ATCC 43888 by conjugation with Hfr KL16
zed-3069::Tn10
rpoS::kan (this laboratory). The origin of
transfer for Hfr KL16 is near 64 min, and the rpoS locus is
at 61.7 min (6, 36). Mating was interrupted after 5 min,
so the O157:H7
rpoS::kan
transconjugants are expected to contain 5% or less E. coli
K-12 DNA. None of the transconjugants received the
zed-3069::Tn10 allele from the donor strain.
1), 40 µg (each) of alanine, arginine,
glutamate, glycine, histidine, isoleucine, leucine, lysine, proline,
serine, threonine, and valine ml
1; and a vitamin mix
containing 100 µg of biotin, nicotinamide, and thiamine
ml
1 and 10 µg of riboflavin ml
1. Vitamin
mix was added to the minimal medium because ATCC 43888 was found to
have a vitamin auxotrophy. We did not determine what vitamin this
strain requires. Growth was monitored by measuring culture turbidity
with a Klett-Summerson colorimeter (Manostat, New York, N.Y.) equipped
with a no. 54 filter (500 to 570 nm).
Survival assays.
Survival assays were performed to determine
the extent to which SCFA adaptation affected the resistance of E. coli K-12 and E. coli O157:H7 to acid shock, oxidative
stress, and heat shock. For all of the survival assays, single colonies
were inoculated into 125-ml Erlenmeyer flasks containing 10 ml of
supplemented M63 glucose medium and grown overnight at 37°C with
aeration. Cells from the overnight cultures were diluted into 10 ml of
fresh medium to a Klett value of 1. The cultures were grown until they reached a Klett value of 30 (ca. 2 × 108 cells
ml
1). At that time, one-ninth volume of either deionized
water, 1 M NaCl, or filter-sterilized SCFA stock solution (1.0 M [pH
7.0], adjusted with NaOH) was added, and the cultures were incubated for another hour at 37°C with aeration. The final concentration of
NaCl or SCFA was 100 mM. NaCl was used as a control to reproduce the
same osmolarity as in the experimental cultures. Because of day-to-day
variability, untreated and NaCl controls were always run in each
experiment. All experiments were performed at least three times on
independent cultures except when noted otherwise.
1 to
the cultures 5 min before or 30 or 55 min after the addition of sodium
acetate (pH 7.0) to a final concentration of 100 mM.
-Galactosidase assays.
-Galactosidase activity was
assayed as described by Miller (40) using cells
permeabilized with sodium dodecyl sulfate (SDS) and CHCl3.
-Galactosidase activity is expressed as Miller units (optical
density at 420 nm [OD420] per OD600 per min).
Cultures were grown at 37°C in supplemented M63 glucose medium to ca.
2 × 108 CFU ml
1 when either NaCl or
sodium acetate (pH 7.0) was added to a final concentration of 100 mM.
Samples were removed immediately before and 30 and 60 min after the
addition of NaCl or sodium acetate.
Analysis of gene expression using E. coli gene
arrays.
Cultures were grown at 37°C in 100 ml of supplemented
M63 glucose medium in 1-liter Erlenmeyer flasks to ca. 2 × 108 CFU ml
1. Cultures were harvested either
immediately before or 30 min after the addition of sodium acetate (pH
7.0) to a final concentration of 100 mM. The 100-ml culture was poured
over 100 g of ice in a 250-ml centrifuge bottle, and the cells
were harvested by centrifugation. Cell pellets were resuspended in 5 ml
of ice-cold 10 mM Tris-HCl (pH 7.5), 10 mM KCl, and 5 mM
MgCl2. Total RNA was isolated as described previously
(49). Briefly, after the addition of SDS (1%) and
lysozyme (300 µg ml
1), the cell suspension was frozen
in a dry ice-ethanol bath, thawed at 64°C, extracted three times with
an equal volume of water-saturated phenol at 350 rpm at 64°C in a
shaking water bath, ethanol precipitated three times, and resuspended
in diethyl pyrocarbonate-treated deionized water, and RNA was
quantitated by absorbance at 260 nm. 33P-labeled cDNA
probes were prepared using E. coli gene-specific primers
(Sigma-Genosys, The Woodlands, Tex.) following the protocol provided by
Sigma-Genosys, except that the reaction buffer used consisted of 20 mM
Tris-HCl (pH 8.4), 50 mM KCl, 2.5 mM MgCl2, and 10 mM
dithiothreitol and the reaction mixture contained 40 µCi of
[
-33P]dCTP (1,000 to 3,000 Ci mmol
1;
Amersham Pharmacia), and 400 U of SuperScript II reverse transcriptase (Life Technologies, Rockville, Md.) in a 30-µl volume.
1 h at 65°C, the prehybridization
solution was replaced with the denatured radioactively labeled cDNA
probe. The probes were denatured by adding equal counts per minute of
each probe to 3 ml of hybridization buffer and incubating at 90 to
95°C for 10 min immediately before use. After hybridization for
16 h at 65°C in a hybridization incubator (Robbins Scientific
Corp.), the filters were washed briefly three times at room temperature
with 50 ml of wash solution (0.5× SSPE, 0.2% SDS) and then washed
three times at 65°C in 100 ml of warmed wash solution. The washed
filters were blotted between two pieces of Whatman 3MM paper for 5 min and then wrapped in Saran Wrap. For quantitation, filters were exposed
to a phosphorimager screen, which was scanned at 100-µm resolution
using a Fujix BAS2000 phosphorimager. For each filter, three exposure
times were analyzed to determine that the majority of signals were
within the linear detection range.
The Fujix BAS image files were analyzed using Visage HDG Analyzer
software (R. M. Lupton, Inc., Jackson, Mich.) running on a Sun
Microsystems ULTRA10 workstation. The signal intensity for each spot
was determined using the integrated intensity function, which
calculates the volume of each spot by summing the value of each pixel
within the boundaries of the spot minus the local background. The
integrated intensity (I.I.) values were exported to Microsoft Excel for
further analysis. Each open reading frame (ORF) on the array is
represented by duplicate spots, and the average I.I. for each ORF was
calculated after determining that the values for the duplicate spots
were within 50% of one another. (About 1% of the ORFs showed more
than 50% variation between duplicates. These spots were examined
individually to check that the boundaries had been placed correctly.)
To compare the signal intensities between filters, a relative I.I. for
each ORF was calculated by dividing the average I.I. for a given ORF by
the total signal intensity on the filter and multiplying by 1,000. The
total signal intensity on the filter was calculated by summing the
integrated intensities of all ORFs on the array.
A background expression level was defined, which was the expression
level seen for the uninduced lac operon. Control experiments showed that the relative I.I. for the genes in the lac
operon were similar when cDNA probes were prepared from
exponential-phase RNA isolated either from a
lac strain
or from an uninduced lac+ strain (data not
shown). Signals below this threshold were not considered meaningful,
and ORFs with a relative I.I. below this threshold in both growth
conditions were filtered out of the data set. For the two experiments
presented here, there were 2,867 and 3,419 ORFs, respectively, whose
relative I.I. was above the background expression threshold in at least
one growth condition.
Two criteria were used to define ORFs whose expression was altered by
the addition of acetate. First, the relative I.I. had to be at least
two times greater than the background expression threshold in one of
the growth conditions. For genes whose expression was induced by
acetate, the relative I.I. after exposure to acetate had to be at least
twofold higher than the background expression level. For genes whose
expression decreased after the addition of acetate, the relative I.I.
before acetate addition had to be at least twofold higher than the
background expression level. The second criterion used was that the
relative expression level had to change at least twofold in two
independent experiments. The following results were found for the two
independent experiments. In one experiment, of 2,867 ORFs analyzed, the
relative expression level of 46 (1.6%) ORFs increased
2-fold and the
relative expression level of 144 (5.0%) decreased by at least 50%. In
the second experiment, of 3,419 ORFs analyzed, the relative expression
level of 53 (1.6%) increased
2-fold and the relative expression
level of 74 (2.2%) decreased by 50% or more. In common to both
experiments were 26 ORFs whose relative expression level increased
2-fold and 60 ORFs whose relative expression level decreased by 50%
or more.
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RESULTS |
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Acid tolerance after SCFA adaptation. Exponentially growing cultures of E. coli O157:H7 or E. coli K-12 were treated with 100 mM acetate, butyrate, or proprionate at pH 7.0 for 1 h as described in Materials and Methods. SCFA treatment increased the doubling time from 30 to 35 min to about 110 min. In control cultures treated with 100 mM NaCl to cause the same change in osmolarity as the SCFA treatment, the doubling time increased to about 60 min.
Pretreatment with SCFAs increased the acid tolerance of both E. coli O157:H7 and E. coli K-12 (Table 1), while pretreatment with NaCl had no effect on survival compared to cultures pretreated with an equal volume of deionized water (data not shown). Only 0.03% ± 0.02% of the NaCl-treated E. coli O157:H7 cells survived acid shock. Exposure to acetate for 1 h increased the acid tolerance of E. coli O157:H7 400-fold to 11% ± 4.0% survival, while treatment with butyrate or proprionate increased percent survival 50- and 40-fold, respectively. Similar results were obtained for E. coli K-12. Survival in NaCl-treated controls was 0.1% ± 0.1%, while pretreatment with acetate, butyrate, and proprionate increased survival 300-, 100-, and 140-fold, respectively. The somewhat higher level of acid tolerance seen for E. coli K-12 compared to E. coli O157:H7 was unexpected but was consistently observed in three independent experiments.
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Oxidative stress resistance after acetate adaptation.
In
S. enterica serovar Typhimurium, induction of the acid
tolerance response by growth at pH 5.8 confers resistance to other environmental stresses (31). Therefore, we tested whether
adaptation of E. coli O157:H7 to SCFA provided
cross-protection against oxidative or heat stress. Because acetate
adaptation provided the greatest protection against acid shock, only
acetate was tested for cross-protection. Resistance to
H2O2 was determined as described in Materials
and Methods. The results of a representative experiment are shown in
Fig. 2. Compared to the control culture,
pretreatment with either 100 mM acetate (pH 7.0) or 100 mM NaCl
increased survival almost 10-fold after 15 min of incubation with 15 mM
H2O2. At longer incubation times, only
adaptation to acetate increased survival.
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Thermotolerance after acetate adaptation.
We also tested
whether exposure to acetate increased the resistance of E. coli O157:H7 to heat killing. Thermotolerance was determined as
described in Materials and Methods. The results are shown in Fig.
3. Pretreatment with 100 mM sodium
acetate (pH 7) or 100 mM NaCl significantly increased the survival of
exponential-phase cells at 50°C. In control cultures only 0.5% ± 0.2% of cells survived after 30 min at 50°C, while in the NaCl- and
sodium acetate-treated cultures, 6% ± 4.0% and 5.0% ± 4.0%,
respectively, of cells remained viable.
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Role of protein synthesis in acetate-induced acid tolerance.
To determine whether the acetate-induced acid tolerance of E. coli O157:H7 and E. coli K-12 required new protein
synthesis, we repeated the acid shock assay with the addition of
chloramphenicol either 5 min before or 30 or 55 min after the addition
of 100 mM acetate (pH 7.0) to exponential-phase cultures (Table
2). In the absence of chloramphenicol,
6.0% of acetate-treated exponential-phase E. coli O157:H7
survived acid shock. Treating the cells with chloramphenicol 5 min
before the addition of acetate reduced survival to <0.05%, which was
comparable to the survival of nonadapted cultures (Table 1). A low
level of survival was also seen when chloramphenicol was added 30 min
after the addition of acetate. In contrast, addition of chloramphenicol
55 min after the addition of acetate did not inhibit induction of acid
tolerance (7% survival). Similar results were seen for E. coli K-12 cultures (Table 2).
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Effect of acetate treatment on gene expression. To characterize the effect of acetate treatment on gene expression in E. coli O157:H7, we used E. coli gene arrays to compare the pattern of transcripts present before and after treatment with acetate. Transcriptional profiling was done as described in Materials and Methods.
The relative expression level for the majority of ORFs was not changed significantly by the addition of acetate. In one experiment, 87% of the ORFs showed less than a 50% change in the relative expression level before and after the addition of acetate. In the second experiment, 91% of the ORFs showed less than a 50% change after the addition of acetate. Genes whose relative expression level was induced
2.0-fold in two independent experiments are shown in Table
3. Genes whose relative expression level
decreased to 50% or less of the level seen prior to the addition of
acetate in two independent experiments are listed in Tables
4 and 5.
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Role of rpoS in acetate-induced acid tolerance.
In
E. coli, the rpoS gene, which codes for the
alternate sigma factor
S, is required for both
stationary-phase-induced acid resistance and the exponential-phase acid
tolerance response induced by growth at moderately low pH (13,
33, 51). Therefore, we expected that rpoS would also
be required for acetate-induced acid tolerance. To test this
hypothesis, we constructed rpoS::Tn10
derivatives of both E. coli O157:H7 and E. coli K-12 and measured survival at pH 3.0 before and after
exposure to acetate. As expected, inactivation of rpoS
greatly decreased the acetate-induced acid tolerance of both E. coli O157:H7 and E. coli K-12 (Table
6). However, exposure to acetate did
increase survival compared to the control cultures that were treated
with NaCl, suggesting that there is an rpoS-independent component of this response.
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-galactosidase levels had
increased fourfold.
-Galactosidase levels also increased after
treatment with NaCl. There was an eightfold increase in
-galactosidase activity 60 min after the addition of NaCl.
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DISCUSSION |
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The ability of E. coli to survive at low pH is strongly affected by environmental factors. Exposure to SCFA at neutral or near neutral pH increases the acid survival of E. coli and S. enterica serovar Typhimurium (21, 27). Following the terminology proposed by Hall and colleagues to distinguish between constitutive and inducible acid protection systems (22), we refer to this response as SCFA-inducible acid tolerance. Induction of the acid tolerance response by growth of serovar Typhimurium at a low but nonlethal pH (pH 5.8) also provides cross-protection to a variety of stresses, including heat, high osmolarity, oxidative stress, and the cationic peptide polymyxin B (31). Here, we examined the molecular basis of SCFA-induced acid tolerance using gene arrays to characterize the changes in gene expression brought about by exposure to SCFA. First, however, we compared the ability of different SCFA to provide protection against acid shock. Exposure to acetate, butyrate, or proprionate at neutral pH increased the resistance of E. coli K-12 and E. coli O157:H7 at pH 3, with acetate providing the greatest protection. Treatment with acetate also enhanced the resistance of E. coli O157:H7 to oxidative stress and heat killing.
Genes whose expression was altered by exposure to acetate were identified using E. coli gene arrays. We identified 26 genes in E. coli O157:H7 whose transcript levels increased at least twofold after exposure to acetate at pH 7 (Table 3). This included 21 previously identified genes. Because the gene arrays used were based on the E. coli K-12 genomic sequence, our studies identified only those genes common to both E. coli K-12 and E. coli O157:H7. If there are O157:H7-specific genes whose expression is induced by SCFA, we would not have detected them.
Our analysis of the transcriptional response to acetate has identified induced genes, such as members of the RpoS regulon, whose expression was expected to increase based on previous work by other laboratories. We have also identified other induced genes whose products were not previously associated with acid survival. Future studies will determine whether any of these genes code for proteins involved in protecting E. coli against low pH or other environmental stresses.
Six of the genes whose expression was induced by addition of acetate at
pH 7 code for proteins that are known to provide protection against
acid stress in E. coli. These are the gadA, gadBC,
cfa, and hdeAB genes. gadA and
gadB encode isozymes of glutamate decarboxylase (Gad),
enzymes that catalyze the conversion of glutamate to
-aminobutyrate. gadC (xasA), which is located downstream of
gadB, is predicted to code for a
-aminobutyrate
antiporter (25, 56). The GadA and GadB decarboxylases and
the GadC antiporter are proposed to function together to help maintain
a near neutral intracellular pH when cells are exposed to extreme
acidic conditions (25, 52). Either GadA or GadB is
sufficient for E. coli survival at pH 2.5, but both are
needed for survival at pH 2.0 (10). Inactivation of
gadC causes an acid-sensitive phenotype in E. coli (25) and Shigella flexneri
(56). Stationary-phase induction of gadA and
gadBC is dependent on
S in both of these
organisms (10, 15, 56). However, rpoS is not
required for acid induction of gadA or gadB
expression in either exponential- or stationary-phase E. coli (10). Although we see dramatic increases in
expression of the gad genes, the Gad system is not likely to
be important for acid survival under the conditions we tested, because
the function of the Gad system is dependent upon the presence of
external glutamate (32) and only a very low level of
glutamate (6.8 µM) was present in our experiments.
The cfa gene codes for a cyclopropane fatty acid synthase,
which adds a methylene group across the carbon-carbon double bond of
unsaturated fatty acids in the inner membrane (20). In
E. coli, cfa is strongly expressed during early stationary
phase, and its induction in stationary phase is dependent upon
S (55). The ability of E. coli
to survive acid shock at pH 3 is correlated with the level of
cyclopropane fatty acids in the inner membrane (9).
Recently, it has been shown that mutants lacking cfa are
sensitive to acid killing in early stationary phase (11).
The wild-type level of acid resistance could be restored either by
introduction of a functional cfa gene or by providing
cyclopropane fatty acids in the growth medium, indicating that it is
cyclopropane fatty acids themselves that are important for acid
resistance. It has been suggested that cyclopropane fatty acids may
help provide acid resistance by decreasing the permeability of the
membrane to protons (11).
The hdeA, hdeB, and hdeD genes were first
identified because their expression is strongly induced in E. coli cells lacking the nucleoid protein H-NS (59).
The hdeAB operon is located immediately downstream of
hdeD and is transcribed in the opposite direction
(58). Expression of all three genes increases in
stationary phase, and induction of the hdeAB operon is
S dependent (4, 56, 59). HdeA and HdeB are
predicted to be periplasmic proteins, and HdeD is a predicted membrane
protein. The hdeA gene is required for stationary-phase acid
resistance in both S. flexneri (56) and
E. coli (18). Recently, HdeA has been shown to
function as a chaperone in vitro at pH 2 but not at neutral pH
(18). Thus, HdeA's role in acid resistance is likely to
be to prevent the aggregation of periplasmic proteins denatured at low
pH. Based on threading analysis, Gajiwala and Burley (18)
predict that HdeB is a structural homolog of and forms heterodimers
with HdeA. No function has been proposed for HdeD, but the chromosomal
location of the gene and its expression pattern suggest that it may
have a role in the same cellular process as HdeA and HdeB.
Two other genes whose expression is induced by exposure to acetate at neutral pH code for proteins that protect cells against oxidative damage. These are dps and katE. The dps gene codes for a nonspecific DNA-binding protein whose expression is induced in stationary phase as part of the RpoS regulon and also in response to oxidative stress, when its expression is controlled by OxyR (1, 2, 35). Dps has been shown to protect DNA against oxidative damage both in vivo and in vitro (38). The katE gene codes for the catalase hydroperoxidase (HPII), whose expression is regulated by RpoS (34).
The product of another acetate-induced gene, grxB, may also have a role in protecting cells against oxidative damage. The grxB gene codes for glutaredoxin 2, which, like other glutaredoxins, is a glutathione-dependent oxidoreductase (54). In the yeast Saccharomyces cerevisiae, glutaredoxins have been shown to protect cells against oxidative damage caused by superoxides and hydrogen peroxide (37, 45). Glutaredoxins may have a similar protective role in E. coli. Increased expression of the dps, katE, and grxB genes suggests that exposure to acetate leads to the production of reactive oxygen species. Alternatively, their induction may be part of a general cellular stress response.
Among the six unknown ORFs whose expression was strongly induced by acetate are yhiW and yhiX, which code for predicted AraC-type regulatory proteins. These putative transcription factors may be involved in controlling some of the changes in gene expression induced by SCFA. YhiX has been shown to be involved in upregulating expression of hdeAB, gadA, and gadB when E. coli is grown in minimal glucose medium at pH 5.5 (T. Conway, personal communication). It is likely that YhiX also activates expression of these genes in response to acetate treatment.
Among the genes whose transcription was induced by exposure to acetate
at neutral pH were eight genes or operons known to be regulated by
S, the stress sigma factor encoded by the
rpoS gene (24, 39). These were adhE, cfa,
dps, gadBC, hdeAB, katE, osmC, and osmY. However, we
did not see induction of all known rpoS-dependent genes.
Expression of some genes in the RpoS regulon is regulated by other
factors in addition to
S (23), so it is
possible that expression of only a subset of RpoS-regulated genes is
induced by acetate. Alternatively, we may have missed induction of some
genes in the rpoS regulon because their transcripts are
present at low levels even after induction or because of the timing of
their expression. Cultures were harvested at only one time point after
the addition of acetate, so it is possible that the maximal change in
gene expression was missed in some cases. For example, we detected a
twofold increase in the relative expression level of otsA
and otsB in only one of two experiments. It is likely that
expression of this operon was induced in both experiments but that in
one experiment the peak expression level was missed.
RpoS has previously been shown to be crucial for acid survival in both E. coli and Salmonella (13, 30, 51). Therefore, it was not surprising that rpoS was also found to be required for acetate-induced acid tolerance. However, our results showed that induction of RpoS expression is not sufficient to confer acid tolerance. Addition of both NaCl and sodium acetate increased expression of an rpoS-lacZ fusion, but NaCl-treated cells did not show increased survival at pH 3.0 compared to untreated control cells. These results suggest that the acetate-induced acid tolerance response may involve gene products whose expression is independent of RpoS or that addition of NaCl or sodium acetate leads to induction of different members of the RpoS regulon.
We found 60 genes whose relative expression level decreased by at least 50% after the addition of acetate (Tables 4 and 5). The majority of these genes (47 of 60) encode components of the transcription-translation machinery (Table 4). These included 12 genes or operons encoding a total of 41 ribosomal proteins, as well as the translation elongation factors EF-G, EF-Ts, and EF-Tu. The synthesis rate of many components of the transcription-translation machinery is growth rate regulated (8), so it is likely that the observed decrease in relative expression levels is due to the decreased growth rate caused by addition of acetate. Of the remaining 13 genes whose expression was repressed by acetate, 9 are previously identified genes. The repressed genes code for a variety of known or predicted cellular functions (Table 5).
Overall, the changes in gene expression seen for repressed genes were not as dramatic as those for genes whose expression was induced by the addition of acetate. For many genes, this probably accurately reflects the biology of the response to acetate. However, for genes or ORFs whose signal on the arrays is only a few fold above the background level of expression as defined in Materials and Methods, the change in expression will be underestimated.
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ACKNOWLEDGMENTS |
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We thank Young Min Kwon and Steve Ricke for helpful discussions,
T. S. Rama Subramanian for advice on cDNA synthesis and
hybridizations, Genevieve Ledwell for help with the
-galactosidase
assays, Terry Thomas for use of the Sun workstation and Visage HDG
software, and Jim Hu for helpful discussions and critical advice on the manuscript.
This work was supported by grant RO1 GM55154 from the National Institutes of Health to D.A.S.
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FOOTNOTES |
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* Corresponding author. Mailing address: Texas A&M University, Biology Department, 3258 TAMU, College Station, TX 77843-3258. Phone: (979) 862-4022. Fax: (979) 845-2891. E-mail: d-siegele{at}tamu.edu.
Present address: Department of Microbiology & Immunology, Stanford
University, Stanford, CA 94305.
Present address: Graduate Division of Biological and Biomedical
Sciences, Emory University, Atlanta, GA 30322.
§ Present address: Division of Cell and Molecular Biology, University of Texas Southwestern Medical Center, Dallas, TX 75390.
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