- Research article
- Open Access
Acid stress response and protein induction in Campylobacter jejuni isolates with different acid tolerance
© Birk et al.; licensee BioMed Central Ltd. 2012
Received: 2 March 2012
Accepted: 20 July 2012
Published: 13 August 2012
During the transmission route from poultry to the human host, the major foodborne pathogen C. jejuni may experience many types of stresses, including low pH caused by different acids. However, not all strains are equally sensitive to the stresses. The aim of this study was to investigate the response to acid stress of three sequenced C. jejuni strains with different acid tolerances using HCl and acetic acid.
Two-dimensional gel electrophoresis was used for proteomic analysis and proteins were radioactively labelled with methionine to identify proteins only related to acid exposure. To allow added radioactive methionine to be incorporated into induced proteins, a modified chemically defined broth was developed with the minimal amount of methionine necessary for satisfactory growth of all strains. Protein spots were analyzed using image software and identification was done with MALDI-TOF-TOF. The most acid-sensitive isolate was C. jejuni 327, followed by NCTC 11168 and isolate 305 as the most tolerant. Overall, induction of five proteins was observed within the pI range investigated: 19 kDa periplasmic protein (p19), thioredoxin-disulfide (TrxB), a hypothetical protein Cj0706 (Cj0706), molybdenum cofactor biosynthesis protein (MogA), and bacterioferritin (Dps). Strain and acid type dependent differences in the level of response were observed. For strain NCTC 11168, the induced proteins and the regulator fur were analysed at the transcriptomic level using qRT-PCR. In this transcriptomic analysis, only up-regulation of trxB and p19 was observed.
A defined medium that supports the growth of a range of Campylobacter strains and suitable for proteomic analysis was developed. Mainly proteins normally involved in iron control and oxidative stress defence were induced during acid stress of C. jejuni. Both strain and acid type affected sensitivity and response.
Campylobacter jejuni is a leading cause of foodborne disease with poultry as a common vector. During the transmission route to the human host, C. jejuni may experience many types of stresses such as exposure to oxygen in the environment, large temperature shifts, and changes in pH. Compared with many other foodborne pathogens, C. jejuni is more sensitive towards stress such as acid [1–3] and has stringent requirements for optimal growth conditions .
During colonization of the human host, C. jejuni is exposed to low pH environments. At first, the bacteria are exposed to inorganic acid (H+) in the gastric fluid of the stomach and later to organic acids in the small intestine [5, 6]. The capacity to counteract environmental stresses is fundamental for survival. Bacteria respond to decreases in pH by inducing different systems to maintain pH homeostasis. These systems may prevent entry of H+, extrusion of H+ from the cell, consumption of H+ in chemical reactions or the repair of damaged cellular material. In some bacteria, such as Salmonella and Listeria, exposure to acid can up-regulate the F0F1-ATPase [7, 8] by hydrolysis of ATP pump H+ out of the cell . Amino acid decarboxylation acid resistance systems are found in many bacteria [10–12], however, these systems have not been identified in C. jejuni.
Compared to other bacteria, C. jejuni is more sensitive to stress and has a limited number of stress regulators. C. jejuni lacks the global stationary-phase regulator, sigma factor RpoS, which induces expression of numerous proteins involved in different forms of stress responses  and it is also involved in acid stress in E. coli and Salmonella[15, 16]. In addition, C. jejuni also lacks the oxidative stress response regulatory elements SoxRS and OxyR, and osmotic shock protectants such as BetAB [13, 17]. However, C. jejuni does contain the global ferric uptake regulator (Fur) that regulates genes in response to iron transport, metabolism, and oxidative stress defence [18–20] and is involved in acid stress in Salmonella and Helicobacter pylori[21, 22]. Compared with many other foodborne pathogens, C. jejuni is more sensitive to acid exposure . This sensitivity is probably not only due to the lack of an acid resistance system but also to the lack of the mentioned regulatory proteins. How then does C. jejuni respond on the proteomic level when exposed to low pH?
Recently, a transcriptomic analysis of C. jejuni NCTC 11168 found changes in the expression of hundreds of genes upon acid shock or in a simulated gastric environment. Primarily, genes involved in encoding ribosomal proteins, transcription and translation, and amino acid biosynthesis were down-regulated . Many of the genes up-regulated by acid stress in that study have previously been characterized as heat shock and oxidative stress genes . However, microarray data are complex and all the up-regulated genes do not necessarily translate into changes in specific proteins vital for survival [25, 26].
Here, we want to analyze the acid stress response of C. jejuni strains with different acid sensitivity. Since weak and strong acids have different modes of action on the bacterial cell [15, 27], the acid induced response to both a weak acid, acetic acid, which can be encountered in foods) and a strong acid (HCl, which is found in the gastric fluid) was analyzed and compared.
Proteins synthesized during stress were labelled by incorporation of radioactive methionine and separated by two-dimensional (2D) electrophoresis. At first, a chemically defined broth (CDB) suitable for growth of different C. jejuni strains therefore had to be developed with minimal concentrations of methionine in order to minimize competition with radioactive methionine added upon stress exposure.
Bacterial strains and preparation of inocula
Three sequenced C. jejuni strains were tested for acid stress response: the clinical human isolate C. jejuni NCTC 11168 from the National Collection of Type Cultures, strain 305 (GeneBank accession number ADHL00000000 ) and strain 327 (GeneBank accession number ADHM00000000 ). Strains 305 and 327 were originally isolated from turkey production by Prof. Thomas Alter, Freie Universität, Berlin. Previous results (Birk et al. 2010, data not shown ) have found that strain 305 was less sensitive towards tartaric acid, and strain 327 was more sensitive to tartaric acid than the NCTC 11168, respectively. Strain 305 was denoted as acid-tolerant and strain 327 as acid-sensitive. During propagation and growth, all plates were incubated at 42°C in sealed gas jars under micro-aerobic conditions (5% O2, 10% CO2, 85% N2). Stocks of all strains were stored at −80°C in broth (BHI) (Oxoid CM225, England) containing 15% glycerol. From −80°C stocks, cultures were transferred to Blood Agar Base No. 2 (Oxoid CM271, England) supplemented with 5% horse blood and incubated for 3–4 days. One loop full of each culture was subsequently streaked onto new Blood Agar Base No. 2 plates. After 24 hours of growth, cells were harvested with 2 ml phosphate-buffered saline (PBS) (Oxoid BR0014, England). The harvested cells were adjusted to OD600 = 0.1 which has previously shown to correspond to approx. 8 log10 CFU/ml and subsequently used as inoculum.
Preparation of chemically defined broth
A chemically defined medium, originally developed for N. gonorrhoeae, was modified in order to have an optimal broth to support growth of Campylobacter on plates. From the original medium, glucose was removed because Campylobacter is unable to ferment or oxidize hexose carbohydrates , and different amino acids were added. The required amino acids were determined from the amino acid metabolic pathway maps listed for C. jejuni NCTC 11168 in the Kyoto Encyclopedia of Genes and Genomes (KEGG)  Pathway Database. If metabolic enzymes were lacking or if the amino acid biosynthetic pathway was complex, the specific amino acid was added to the modified chemically defined broth (CDB).
Components of modified chemically defined broth (CDB) for Campylobacter jejuni
Stock solution (mg/ml)
Vol stock solution (ml) for 1 liter
Final conc (mmol/l) of 1xCDB
Buffer solution (10X)
Salt solution (20X)
MgCl2, 6 H2O
Amino acid mix 1 (100X)
Amino acid mix 2 (10X)
Individual amino acids
Vitamin mix (50X)
Thiamine HCl (Vitamine B1)
Calcium pantothenate (Vitamine B5)
Oxaloacetate, 2 H2O (10X)
Biotin (Vitamine H) (500X)
Fe(NO3)3, 9 H2O (1000X)
CaCl2, 2 H2O (1000X)
MilliQ water (ml) *
Individual stock solutions were prepared before the mixing of CDB. 10X buffer solution and 20X salt solution were made, autoclaved for 15 min at 121°C, and stored at room temperature. The amino acid mix 1 (100X) was made in concentrations as listed in Table 1. However, methionine was prepared as an individual amino acid stock solution so the chemically defined broth could be prepared with different methionine concentrations. The amino acid mix, vitamin mix and the individual components were sterilized by filtration and stored at −20°C until use. Stock solutions of cysteine were prepared just prior to use.
Growth in chemically defined broth
Microbiological analyses and sampling
C. jejuni cultures were serially 10-fold diluted in maximum recovery diluent (MRD) (Oxoid CM733, England) and 3 × 10 μl of appropriate dilutions were spotted onto Blood Agar Base No. 2 (Oxoid CM271, England) supplemented with 5% horse blood. After 24–48 h of incubation under microaerobic conditions, colonies were counted and the numbers of colony-forming units (CFU) per ml were determined.
In vitro acid stress and [35S]-methionine labelling and protein extraction
From the inoculum, 100 μl were transferred to 200 ml pre-heated CDB (37°C) containing 0.01 mM methionine resulting in approximately 5 log10 CFU/ml. C. jejuni strains NCTC 11168, 305, and 327 were grown to late exponential phase at 37°C to ensure high metabolic activity and overcome problems due to very low protein outcome in earlier phases (data not shown). After 26 hours of growth for strains 327 and NCTC 11168 and 22 hours for strain 305, the number of cells corresponded to approximately 8 log10 CFU/ml. Then 50 ml of the cell cultures (start pH about 7.0) were adjusted to pH 5.2 with HCl and pH 5.7 with acetic acid. Immediately after 2 × 1 ml cells were transferred to two tubes with screw cap, incubated for 20 min and labelled with 77 μCi/ml L-35 S]-methionine (Perkin Elmer, NEG-709A EasyTagTM™) for an additional 20 min at 37°C. The 40 minutes exposure was chosen to reduce the effect of acid shock .
After acid exposure, the cells were decanted by centrifugation at 18,620 × g (Hermle Z233) for 3 min. For extraction of proteins, extraction buffer [7 M urea (GE-Healthcare 17–131901), 2 M thiourea (Sigma-Aldrich, T7875), 4% CHAPS (GE-Healthcare, 17-1314-01), IPG buffer 4–7 (GE-Healthcare, 17-6000-86), 20 mM dithiothreitol (Sigma-Aldrich D-9779), 30 μg/ml chymostatin (Sigma-Aldrich, C7268), 15 μg/ml pepstatin (Sigma-Aldrich, P4265), 174 μg/ml phenylmethylsulfonyl fluoride (Sigma-Aldrich, P7626)], and 50 mg glass beads (D = 1 mm, Struers Kebolab, 115-790-1) were added for cell lysis in a FastPrep at speed 6 for 45 seconds. The suspension was centrifuged at 4°C at 18,620 × g (Hermle Z233) for 10 min and exactly 2 × 30 μl of protein sample was transferred to a clean Eppendorf tube and prepared for 2D gel electrophoresis.
Two-dimensional gel electrophoresis
The protein sample was analyzed by using the GE-Healthcare Multiphor II Electrophoresis Systems using Immobiline DryStrips for the first dimension and the Bio-Rad Criterion Cell system for the second dimension. For rehydration, 60 μl protein sample was mixed with 140 μl rehydration solution [7 M urea (GE-Healthcare 17–131901), 2 M thiourea (Sigma-Aldrich, T7875), 4% CHAPS (GE-Healthcare, 17-1314-01), IPG buffer 4–7 (GE-Healthcare, 17-6000-86), 20 mM dithiothreitol (Sigma-Aldrich D-9779), and a few grains of bromphenol blue (Merck, 1.59102)] and applied to an 11-cm Immobiline DryStrip pH 4–7 (GE Healthcare, 18-1016-60) and the electrofocusing was run for a total of 18.2 hours (step 1: 300 V, 1 MA, 5 W, 0.01 h; step 2: 300 V, 1 MA, 5 W, 8 h; step 3: 3500 V, 1 MA, 5 W, 5 h; and step 4: 3500 V, 1 MA, 5 W, 5.20 h). Before protein separation by their molecular weight, the Immobiline DryStrips were equilibrated, first in 20 ml equilibration buffer [6 M urea (GE-Healthcare 17–131901), 50 mM Tris–HCl (Trizma Base, Sigma T-1503, pH 6.8), 30 v/v% glycerol (Merck, 1.04094), 2 w/v% SDS (GE-Healthcare, 17-1313-01)] containing 0.625 w/v% dithiothreitol (DTT) (Sigma-Aldrich D-9779) for 15 min and then in 20 ml equilibration buffer also containing 2.5 w/v% iodoacetamide (Sigma-Aldrich, I6525) and a few grains of bromphenol blue (Merck, 1.59102) for 15 min. In the 2nd dimension, the CriterionTM precast 10%–20% Tris–HCl Gel (Bio-Rad, 345–0107) gel was used for separation of proteins by size. After draining, the strips were sealed and connected to the gel by using 0.5% agarose and run in Laemmli running buffer [(30.3 g/l Trizma base (Sigma-Aldrich, T6066), 144 g/l glycine (Merck, 1.04201) and 10.0 g/l SDS (GE- Healthcare, 17-1313-01)]. The gels were stained using a silver staining kit (GE-Healthcare, 17-1150-01), coated with cellophane, dried overnight at room temperature, and exposed to phosphorus screens for 72 h.
Image and data analysis
Radioactive proteins were visualized using a PhosphorImager (STORM 840, GE-Healthcare), and the protein spots were analyzed using the Image MasterTM 2D Platinum (version 5.0, GE-Healthcare). Initially, protein spots of one set of gels were matched and specific proteins that had higher intensity values than proteins from the control gel were annotated. One set of gels included HCl and acetic acids stressed cells plus a control as a reference. For comparative protein analysis, corresponding protein spots for each specific protein on the control, HCl, and acetic acid gels were manually defined as one group and the match was automatically verified before estimating the volume intensity. The three replicates were compared by normalizing the estimated volume intensity for the individual proteins to percent volume intensity for each replicate. The percent volume intensity was calculated for the specific conditions (control, HCl and acetic acid) as follows:% volume intensity control condition (protein x) = volume intensity condition/(volume intensity control + volume intensity HCl + volume intensity acetic acid).
In-gel digestion of protein spots
To examine relevant protein spots, C. jejuni cells were exposed to acid stress without labelling them with methionine but the proteins were separated using the same procedure as for labelling. After the 2nd dimension, and fixation in equilibration buffer [concentrated H3PO4 (VWR, 20621.295), 150 g/l ammoniumsulfate (Merck, 1.01217), 18% ethanol] for 30 min, the gel was stained with 1 ml 20.0 g/l Coomassie Brillant Blue 250 G (Merck, 1.15444). Relevant protein spots were excised from the gel. The gel pieces were then washed and digested with trypsin as described by Sørensen et al. (2009) .
Desalting, concentration, and loading on MALDI target
Gel-loader tips (Eppendorf) packed with Poros reverse phase 20 R2 (Applied Biosystems, 1-1128-02) was used as chromatographic columns for desalting and up-concentration of the digested protein sample prior to spectrometric analysis. The peptide digest was treated and loaded on MALDI target as described by Sørensen et al. (2009) .
Identification of proteins by MALDI-TOF MS
A MALDI-TOF-TOF instrument (4800 Proteomics analyzer, Applied Biosystems, Foster City, CA) was used to identify proteins. The MS/MS spectra were analysed using Data Explore v4.6 (Applied Biosystems). Mascot MS/MS Ions Search (Matrix Science, http://www.matrixscience.com) was used to search for matching protein sequences within the NCBI database (http://www.ncbi.nlm.nih.gov/). The taxonomy was restricted to C. jejuni. The mass tolerance was limited to 70 ppm for peptide mass fingerprinting and to 0.6 Da for peptide sequence data.
Primer design and quantitative real time PCR (qRT-PCR) validation of proteome data
Primers used in qRT- PCR of Campylobacter jejuni NCTC 11168
Forward primer (5′ → 3′)
Reverse primer (5′ → 3′)
Thioredoxin- disulfide reductase
Alkyl hydroperoxide reductase
Molybdenum cofactor biosynthesis protein
19 kDa periplasmic protein
Ferric uptake regulator
UDP-3-O-[3-hydroxymyristoyl] N-acetylglucosamine deacetylase
DNA-directed RNA polymerase subunit alpha
After acid stress exposure (same procedure as for the proteomic study), 3 ml culture was mixed with 6 ml RNA-protect (Qiagen) to stabilize RNA and incubated at room temperature for 30 minutes. The mixture was centrifuged. For enzymatic lysis of the cells, the pellet was dissolved in 100 μl TE buffer (30 mM Tris-Cl, 1 mM EDTA, pH 8.0) containing 15 mg/ml lysozyme, and added to 10 μl proteinase K (Qiagen) and incubated for 10 minutes at room temperature. For RNA purification and isolation, the RNeasy Mini Kit (Qiagen, 74104) was used and the included procedure was followed. To eliminate genomic DNA from the isolated RNA, the RNase-Free DNase set was used (Qiagen). First, the samples were measured out to 0.1 μg RNA thereafter cDNA was synthesized using the TaqMan Reverse Transcription Reagens (N8080234, Applied system). Each sample was prepared in triplicate resulting in a volume of 20 μl containing 5 μl cDNA, 10 μl 2 × Power SYBR green PCR mix (Applied Biosystems) and final concentration of 0.9 pmol/μl of forward and reverse primer.
For amplification of PCR products and quantification of produced cDNA SYBR Green, the 7500 fast real-time PCR system (Applied Biosystems) was used. The thermocycling conditions were 55°C for 2 min (uracil-N-glycolyase activation), 95°C for 10 min (Taq activation and uracil-N-glycolyase de-activation) followed by 40 cycles of 95°C min for 15 sec and 60°C for 1 min.
To determine the changes in the relative gene transcription level presented as fold changes, a mathematical model for relative quantification of in RT-PCR was used . The expression level of the specific target during acid stress was compared with the expression level of non-stressed cells (control). Three individual biological experiments were performed and data presented as an average.
All data from the growth experiments, comprising three replicates, were log transformed and statistically analyzed by SAS statistical software version 9.1 (SAS Institute, Cary, USA). To test for statistically significant differences in growth with various concentrations of methionine in CDB and BHI, a PROC GLM procedure was used. Volume intensity% differences between the individual proteins were calculated by variance analysis (ANOVA) in Microsoft Excel (version 2007).
Growth in modified chemically defined broth
A modified defined broth that supports the growth of all three C. jejuni strains at the same level as in a rich medium (BHI) was developed (Figure 1). Ingredients used in the modified CDB for C. jejuni strains are shown in Table 1.
The change of protein synthesis during acid exposure was determined by adding radioactively labelled methionine to the modified CDB during the stress period. In order to minimize the competition between the methionine and the radioactive methionine in the modified CDB, the minimal concentration of methionine in the modified CDB was determined for the three strains. Strain 327 had a special requirement for methionine which was illustrated by the fact that in its absence, the bacteria started to die already after 24 h. This strain does not possess all the enzymes involved in synthesis of cellular methionine (). The modified CDB with 0.01 mM methionine was used in 2D gel analysis because no significant difference in growth was observed between this concentration and the highest concentration (0.1 mM) investigated (P305 = 0.07, P11168 = 0.36, P327 = 0.52) (Figure 1). The CDB with methionine supported good growth of all 13 strains tested. For nine of the strains the growth and generation times were comparable with BHI, while four of the strains showed either significantly faster or slower growth (unpublished observations). It has been shown that auxotyping markers, except cystine and cysteine, are stable after three cycles of freezing and thawing , and it is therefore possible to minimize the workload by preparing batches of double strength stocks and storing these at −20°C.
[35S]-methionine labelling during acid stress
C. jejuni strains NCTC 11168, 327, and 305 were grown in CDB containing 0.01 mM methionine at 37°C in a microaerophilic atmosphere. Similar numbers of cells in late exponential phase were desirable for comparability between the strains. To achieve cells in the late exponential phase with approximately 1 × 108 CFU/ml, strains of NCTC 11168 and 327 were grown for 26 hours, whereas strain 305 only required 22 hours.
The C. jejuni cells were exposed to relatively mild acid conditions (pH 5.2 with HCl and pH 5.7 with acetic acid) to prevent the cells from dying and closing down all metabolic activity. The gastric pH during a meal has been measured to be 3.9-5.5  and the experimental pH is therefore within the upper range. The effects of acid exposure on CFU for all strains are illustrated in Figure 2. Strain 305 was the most acid-tolerant strain while strain 327 was the most acid-sensitive at 37°C. This correlated well with earlier findings showing that strain 305 was more tolerant than strain 327 towards tartaric acid at 4°C . Growth of C. jejuni 305 was only slightly reduced during HCl and acetic acid stress (Figure 2C), whereas the number of cells for strain 327 decreased (Figure 2B).
Proteomic analysis and identification of proteins
Induced proteins (% volume intensity) during HCl (pH 5.2) and acetic acid (pH 5.7) exposure in C. jejuni NCTC 11168, C. jejuni 305 and C. jejuni 327 at 37°C in chemically defined broth
Proteome analysis for Campylobacter during acid stress revealed different protein profiles between the strains and the type of acid used. The production of induced proteins during acid stress was measured using radioactive methionine labelling and 2D-gel-electrophoresis in a defined medium after the cultures had been exposed to a strong (HCl, pH 5.2) and a weak (acetic acid, pH 5.7) acid. Relatively few proteins (up to seven) were induced. However, only two were observed in the most acid-sensitive strain (327). The low number of induced proteins in this strain may be due to a shutdown of the metabolic activity as a result of cell death. In the sequenced strain NCTC 11168, both HCl and acetic acid exposure caused induction of proteins while in the most robust strain (305), marked protein induction was primarily seen with HCl. These differences reflect the strain variations in acid sensitivity and probably also the different mode of action of the strong and weak acid on the bacteria cell.
In a comparable proteomic study of the more acid-tolerant bacteria E. coli and Salmonella, a 1.5-4 fold induction of 13 proteins (E. coli) and a 2–14 fold induction of 19 proteins (Salmonella) were found when cells were shifted from pH 7 to 5 (phosphoric acid) . The higher number of induced proteins in E. coli and Salmonella compared with what we observed may be due to the fact that C. jejuni lack the common acid resistance systems [10–12] and the global stress regulator protein RpoS, as well as the fact that the C. jejuni genome is small (1,660 kbp) . Of course, small experimental differences and types of acid stress may influence the outcome as well.
The effect of the low pH on the bacterial cell is complex because it is interconnected with other factors such as oxygen stress, growth phase and produced metabolites . Most of the proteins observed during acid stress in this study, such as SodB, AhpC, and Dps, have been associated with oxidative stress [40–43]. However, these proteins have also shown to be acid induced in E. coli[39, 44, 45], suggesting multiple protective mechanisms. This link has further been supported by a recent Campylobacter transcriptomic study where up-regulation of numerous genes including ahpC, sodB and p19 during HCl exposure were reported . The central role for Dps in acid tolerance response in C. jejuni is supported in a study with a dps E. coli mutant  and in an acid challenge study with Salmonella. In E. coli, Dps has multi functional properties such as DNA binding, iron sequestration, ferrioxidase activity, and a central role for several stress responses – including acid stress . Oxidative stress and free iron are closely connected , and it has been shown that decreasing pH results in enhanced iron-mediated lipid peroxidation processes . Via the Fenton reaction, free iron can react with H2O2 and generate cell-damaging hydroxyl radicals (·OH) [48, 49]. Regulation of free Fe2+ is therefore essential for cellular activities. Iron storage proteins indirectly contribute to oxidative stress defence by storing iron in an inactive form thereby preventing formation of harmful hydroxyl radicals. At the same time, it is also important to ensure enough iron for metabolic processes. The acid-induced protein Dps has in C. jejuni shown to be involved in superoxide and peroxide defence  and it is likely that the induction of Dps is a consequence of the iron released upon acid stress.
The induced 19 kDa protein (Cj1659) is a well-conserved periplasmic protein in C. jejuni and Campylobacter coli species  which previously was found to be Fur like (ferric uptake regulator) and iron regulated . The p19 system is associated with an ABC iron transport system (cj1659 cj1663)  and up-regulation of the 19 kDa protein therefore indicates a way to control the intracellular iron level during acid stress.
The thioredoxin system is composed of both TrxB and NADPH. In E. coli, TrxB interacts with unfolded and denatured proteins in a way comparable with molecular chaperones which are involved in proper folding of mis-folded proteins after stress . A similar function of TrxB in C. jejuni might be possible as a part of the acid defence mechanisms. TrxB might mediate alkyl hydroperoxide reductase (AhpC) as is the case of H. pylori[37, 52].
During the acid stress response, the enzyme MogA was induced, which to our knowledge has not been related to acid response before. However, an unpublished microarray study supported our result with acid exposure conditions comparable with our study (HCl exposure at pH 5.0 in strain NCTC 11168). After 10 minutes up-regulation mogA was measured, but only on the limit of the statistical threshold (Arnoud van Vliet, personal communications). MogA catalyzes the incorporation of molybdenum (Mo) into molybdopterin to form molybdenum cofactor (MoCo), a cofactor in molybdoenzymes . Some molybdoenzymes in E. coli contain a modified form of MoCo. By transferring a GMP (guanosine monophosphate) to the terminal phosphate of MoCo, a molybdenum guanine dinucleotide (MGD) is formed. MGD is present in the enzymes formate dehydrogenase (FdhA) and nitrate reductase (NapA) in E. coli[54, 55]. The periplasmic two-subunit complex, C. jejuni NAP, is considered as an electron acceptor  and the enzyme is encoded by napAGHBLD. The NapA is a ~105 kDa catalytic subunit protein that binds the cofactor MGD. Basically, during electron transport at low O2, the molybdenum-containing enzyme nitrate reductase reduces NO3- to NO2- by consuming 2 H+. A transcriptional profile of C. jejuni NCTC 11168 after exposure to HCl stress resulted in a transiently or constantly up-regulated napGHB and fdhA, indicating that MogA most likely is part of an acid stress response.
The weak induction of SodB and AhpC indicate that the enzymatic oxidative stress defence play a role during acid stress. AhpC eliminates oxidative damaging compounds by converting alkyl hydroperoxides to the corresponding alcohol , and during this reaction a proton is consumed. SodB eliminates the damaging super oxides (O2-) [37, 57], and in this reaction, protons are also consumed thereby preventing acidification of the cytoplasm. The elimination of O2- and H+ by SodB generates H2O2, another stress factor. If free Fe2+ is present in the cell, the produced H2O2 can form hydroxyl radicals (·OH), which may directly damage DNA. This may explain the induced production of Dps that reversibly binds iron. The produced H2O2 can be removed by catalase (KatA) which converts H2O2 to H2O and O2[37, 57]. In contrast to a transcriptional study where an up-regulation of katA gene was noticed after acid exposure , induction of KatA was not observed in this proteomic study. Since C. jejuni is sensitive towards oxygen and lacks numerous oxidative stress regulators such as SoxRS and OxyR , the cell might be in a constantly oxygen-alert state in order to remove reactive oxygen species and damaging components from acid stress.
No induction of heat shock proteins (Hsps) as chaperones or proteases were observed during acid stress in this study. A transcriptional study found an up-regulation of clpB, dnaK, grpE, groEL/ES and htrA. One explanation could be the sensitivity of 2D-gel-electrophoresis for proteomic analysis as mentioned above and the detection limit due to molecular size and isoelectric point (pI) of the proteins. The Hsps, ClpP and GroES have molecular masses close to the maximum and minimum detection size, respectively, and HtrA has a pI of 9.6 which is outside the pI range of the system used here.
Acid exposure of C. jejuni NCTC 11168 was related to changes in gene expression and synthesis of acid stress proteins. However, comparison of the proteomic and transcription study showed a limited correlation between induced proteins and over-expression of genes. A recent proteomic study with acid adaptation of Salmonella enterica also  found a limited correlation between the outcomes of the transcriptional (qRT-PCR) versus translational (2D-gel) studies. The lack of corresponding results may be due to the lifetime of the RNA and the time from transcription to translation.
It can be concluded that the three C. jejuni strains, at the phenotypic and proteomic level, responded differently to the acid stresses. We demonstrated that acid stress induces production of several proteins normally involved in iron control and oxidative stress defence in C. jejuni. This work has contributed to the understanding of what occurs in the C. jejuni cells during acid stress.
TIBIR: performed all experiments, analysed data, wrote the paper and calculated the statistics. MTW: involved in the qRT-PCR. RLA: Helped with the setup of 2D-gel electrophoresis, data analysis of 2D-gel experiments and correction of paper. SKN: supervising, discussion of results and revision of the manuscript. All the authors have given approval of the manuscript.
This work was financially supported by the Danish Food Industry Agency. We acknowledge Bjarne Albrektsen for excellent technical assistance during development and optimization of the chemically defined broth; Andrea Maria Lorentzen from the University of Southern Denmark, who has been a great help in identifying proteins; and Søs Inger Nielsen for excellent technical assistance with qRT-PCR runs. Dr. Thomas Alter, Freie Universitet Berlin, generously provided the strains 305 and 327.
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