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Open Access

Peer-reviewed

Research Article

Proteomic Analysis of the Function of Sigma Factor σ54 in Helicobacter pylori Survival with Nutrition Deficiency Stress In Vitro

  • Yundong Sun ,

    Contributed equally to this work with: Yundong Sun, Shuang Liu

    jiajihui@sdu.edu.cn (JJ); syd@sdu.edu.cn (YS)

    Affiliation Department of Microbiology, Key Laboratory for Experimental Teratology of Chinese Ministry of Education, School of Medicine, Shandong University, Jinan, Shandong, China

    ⨯
  • Shuang Liu ,

    Contributed equally to this work with: Yundong Sun, Shuang Liu

    Affiliations Department of Microbiology, Key Laboratory for Experimental Teratology of Chinese Ministry of Education, School of Medicine, Shandong University, Jinan, Shandong, China, Clinical Laboratory, First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China

    ⨯
  • Wen Li,

    Affiliation Department of Microbiology, Key Laboratory for Experimental Teratology of Chinese Ministry of Education, School of Medicine, Shandong University, Jinan, Shandong, China

    ⨯
  • Yuqun Shan,

    Affiliation Department of Microbiology, Key Laboratory for Experimental Teratology of Chinese Ministry of Education, School of Medicine, Shandong University, Jinan, Shandong, China

    ⨯
  • Xinpeng Li,

    Affiliations Department of Microbiology, Key Laboratory for Experimental Teratology of Chinese Ministry of Education, School of Medicine, Shandong University, Jinan, Shandong, China, Disease Control and Prevention of Shandong Province, Jinan, China

    ⨯
  • Xingxiao Lu,

    Affiliation Department of Microbiology, Key Laboratory for Experimental Teratology of Chinese Ministry of Education, School of Medicine, Shandong University, Jinan, Shandong, China

    ⨯
  • Yan Li,

    Affiliation School of Control Science and Engineering, Shandong University, Jinan, China

    ⨯
  • Qing Guo,

    Affiliation Department of Microbiology, Key Laboratory for Experimental Teratology of Chinese Ministry of Education, School of Medicine, Shandong University, Jinan, Shandong, China

    ⨯
  • Yabin Zhou,

    Affiliation Department of Microbiology, Key Laboratory for Experimental Teratology of Chinese Ministry of Education, School of Medicine, Shandong University, Jinan, Shandong, China

    ⨯
  • Jihui Jia

    jiajihui@sdu.edu.cn (JJ); syd@sdu.edu.cn (YS)

    Affiliation Department of Microbiology, Key Laboratory for Experimental Teratology of Chinese Ministry of Education, School of Medicine, Shandong University, Jinan, Shandong, China

    ⨯

Abstract

H. pylori can survive under a nutrition-deficient environment. During infection and transmission, H. pylori is confronted with nutrient limitation and the bacterium requires rapid alteration in gene expression for survival under stress conditions. However, the mechanism underlining this regulation remains unknown. A previous study showed that σ54 is an important regulation factor for H. pylori survival in the nutrition-deficient environment. Our results show that the expression of σ54 (rpoN) is significantly induced in the stationary phase (nutrition deficiency) and the rpoN mutant showed a significantly lower viability than wild-type H. pylori in the late stationary phase. Thus, σ54 is involved in H. pylori survival during nutrient limitation. We used comparative proteomics to analyze the protein differentiation between wild-type and rpoN mutant during the stationary phase. With depleted nutrients, σ54 can slow the process of proliferation by negatively regulating genes involved in energy metabolism and biosynthesis and enhance stress-resistant ability by positively regulating genes involved in protein fate and redox reaction. Especially, NapA positively regulated by σ54 plays an important function in H. pylori survival both in the stationary phase and in water, and the latter situation would be beneficial for bacterial in vitro transmission. Our investigations give new light on the adaptive regulation of H. pylori under stress conditions.

Citation: Sun Y, Liu S, Li W, Shan Y, Li X, Lu X, et al. (2013) Proteomic Analysis of the Function of Sigma Factor σ54 in Helicobacter pylori Survival with Nutrition Deficiency Stress In Vitro. PLoS ONE 8(8): e72920. https://doi.org/10.1371/journal.pone.0072920

Editor: Yoshio Yamaoka, Veterans Affairs Medical Center (111D), United States of America

Received: April 27, 2013; Accepted: July 15, 2013; Published: August 28, 2013

Copyright: © 2013 sun et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Funding: This work was supported by the National Natural Science Foundation of China (Nos. 81071313, 30800037, 81171536, and 30972775, 30971151), the Science Foundation of Shandong Province, China (Nos. ZR2009CZ001, ZR2009CM002, BS2010YY038, BS2010YY040 and BS2011SW023) and the National Basic Research Program of China (973 Program 2012CB911202). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Competing interests: The authors have declared that no competing interests exist.

Introduction

Helicobacter pylori is a spiral-shaped, microaerophilic, Gram-negative bacterium that infects the stomachs of more than 50% of the world’s population. H. pylori infection is strongly associated with a spectrum of gastric diseases including chronic gastritis, peptic ulcers, and gastric cancer [1]. To establish persistent infection in the stomach, H. pylori must overcome constantly changing environments such as nutrient limitation, oxygen tension and low pH in the stomach. The regulatory mechanisms of H. pylori to allow bacterial survival under these environmental stresses are of interest.

Generally, bacterial survival under stress conditions requires timely and appropriate alterations in gene expression, and these alterations at the transcriptional level are often controlled by the association of different sigma factors with core RNA polymerase [2]. The sigma factor is an essential dissociable subunit of prokaryotic RNA polymerase that confers promoter recognition specificity on RNA polymerase in the initiation of transcription [3]. Bacteria can use alternative sigma factors, which direct the RNA polymerase holoenzyme to a specific class of promoters, to adapt to environmental changes. The association of appropriate alternative sigma factors with core RNA polymerase provides an effective mechanism for simultaneously regulating large numbers of prokaryotic genes [2]. In Gram-negative bacteria, σS is a general stress-responsive sigma factor that contributes to survival in the stationary phase and other stress conditions such as osmotic shock, heat, and low pH [4].

However, because of the small genome of H. pylori, relatively few transcriptional regulators for gene expression have been annotated, including just 3 sigma factors: σ70 (RpoD), σ54 (RpoN), and σ28 (FliA) [5]. H. pylori lacks σS, which is typically associated with various stress responses in many Gram-negative bacteria. σ70, the primary (housekeeping) sigma factor, which is essential for general transcription in exponentially growing cells, has been functionally characterized in H. pylori [6,7]. The main function of σ28 in many bacterial species is to regulate the expression of genes required for flagellar synthesis and bacterial motility [8]. σ54 does not share a common role among all pathogens. σ54-dependent genes described to date control a wide variety of biological processes [4]. In Pseudomonas aeruginosa, σ54 is required for the transcription of both the flagellin and pilin genes, negatively controls quorum-sensing genes, and alters bacterial susceptibility to antibiotics [9–12]. In Vibrio fischeri, σ54 controls motility, biofilm formation, luminescence, and colonization [13]. In Listeria monocytogenes, σ54 is involved in resistance to high osmolarity and mesentericin Y105, an antibacterial peptide from Leuconostoc mesenteroides [14,15].

Most studies of σ54 in H. pylori have focused on its regulatory control in flagella-related genes [16]. Given the multiple regulatory controls of σ54 and because of the lack of σS in H. pylori, we were interested in whether σ54 of H. pylori could function as a stress-response sigma factor when H. pylori encounters environmental stresses such as nutrient limitation. We found that the expression of σ54 is induced when H. pylori enters into stationary phase. To characterize σ54 function, we constructed the rpoN null mutant. In the late stationary phase, the rpoN mutant H. pylori 26695 showed a marked decrease in viability, which agrees with a previous report in H. pylori HPK5 [17]. So this finding is not strain-specific and the role of σ54 involved in stationary phase survival might be universal in H. pylori. We examined the mechanism by which σ54 regulates H. pylori survival in nutrient-deficient environment by proteomics analysis through comparing the protein expression profiles of wild-type H. pylori 26695 and its rpoN null mutant in the early stationary phase.

Materials and Methods

Bacterial strain and growth conditions

H. pylori 26695 was kindly provided by Dr. Zhang Jianzhong (Chinese Disease Control and Prevention Center). The bacteria were revived from frozen stocks and grown on Skirrow agar with 5% (v/v) sheep blood under microaerobic conditions (5% O2, 10% CO2, and 85% N2) at 37 °C. Plate-grown bacteria were inoculated into Brucella broth (BB) containing 10% fetal bovine serum with a preliminary OD600 of 0.05 and cultured with shaking at 37 °C in microaerobic environment. To determine the expression of sigma factors in H. pylori at different growth stages, the liquid bacterial cultures were harvested at 24, 48 and 72 h for total RNA isolation.

For the viability assay, the wild type and rpoN/npaA mutant H. pylori 26695 were incubated at 37 °C microaerobically with shaking in BB containing 10% fetal bovine serum. At various times, an aliquot of each culture was serially diluted with phosphate buffered saline (PBS), and various dilutions were plated in triplicate onto agar plates at different times to determine colony formation units. To distinguish the survival ability of the wild type and napA mutant, an aliquot of each culture was serially diluted with PBS (preliminary OD600 0.05), then put into isopyknic pure water. Each assay was replicated at least 3 times.

Construction of the ΔrpoN and ΔnapA mutant

The rpoN and napA mutant strain of H. pylori 26695 was constructed as described [18]. Plasmids pILL570 and pUC18K2 were kindly provided by Dr. Agnes Labigne (Institut Pasteur, Département de Microbiologie, Unité de Pathogénie Bactérienne des Muqueuses, 75724 Paris Cedex 15, France). The mutant strain was constructed in the following steps. Fragment 1 containing the 5’ region of rpoN(napA) gene flanked by ClaI and EcoRI restriction sites was amplified by PCR with the first pair of primers (rpoN-1 and rpoN-2, napA-1 and napA-2). Fragment 2 containing the 3’ region of rpoN(napA) flanked by BamHI and PstI restriction sites was amplified by PCR with the second pair of primers (rpoN-3 and rpoN-4, napA-3 and napA-4). H. pylori strain 26695 genomic DNA was used as the template and the primers are in Table 1. Following PCR amplification, fragment 1 was digested by ClaI and EcoRI and fragment 2 was digested by BamHI and PstI. The nonpolar kanamycin cassette was obtained from pUC18K2 by EcoRI and BamHI digestion. Then, the resulting three fragments were ligated with the ClaI- and PstI-digested vector pILL570 by T4 ligase (Fermentas), generating plasmid pILL570-rpoN(pILL570-napA), in which about a 1000-bp deletion of rpoN and napA were replaced by the kanamycin cassette. Finally, H. pylori 26695 was electrotransformed with plasmid pILL570-rpoN (pILL570-napA) as described [19] and kanamycin-resistant (Kanr) recombinants were selected. The rpoN(napA) mutation in the Kanr recombinant was verified by PCR with the primers for rpoN-1 and rpoN-4, napA-1 and napA-4.

PrimersSequences (5’–3’)PrimersSequences (5’–3’)
rpoN -1CCATCGATGG GAAGTCAAAACCGAATCAAdevB FCGT TCG CCC ATT AGT TTG TT
rpoN -2CGGAATTC TAAGGGGTTATCTAAAGCGdevB RCAG GCA AAA GCG GAA TAA AA
rpoN -3CGGGATCC ATACCGCCAACTGCTCAACserC FGATGCGCTCATTCGTATCAA
rpoN -4AAAACTGCAGGCGATCCCAAACAGAACTGCserC RCGCCATCAAATTCCCTTAAA
napA-1CCATCGATTTTCTCGCATGATCGGTGTAasd FGGAGCCATAGCGAGAGTTTG
napA-2CGGGATCCCGTTCAATTAGGGCATCACCasd RGGGCGTGGGGTAAAGATTAT
napA-3CGGAATTCAATCGGTGCCTTTCACATTCfrr FCCTAATAACGACGGCGAAAC
napA-4AACTGCAGAATCGGTGCCTTTCACATTCfrr RTCTTGGCGGATATTCCTCAC
16S rRNA FGCTCTTTACGCCCAGTGATTCfabE F:AGATTTCGTGCTTTCGCCTA
16S rRNA RGCGTGGAGGATGAAGGTTTTfabE R:GCTTCTACAATGCCCACGAT
rpoD FAACGCTTGGAATACAAACTGCribH FGGGACTCCGCATTTTGATTA
rpoD RGATCGGAAATCAACTTCCCTCribH RCTTATTGCCGGCTTTACTGC
rpoN FGCATTTCTTTAGCATCGCCTTAGpepA FCGGCCGATTACATGGTTACT
rpoN RGAGCAGTTGGCGGTATTTGGTpepA RATGCTCTTGCCTTCTTTGGA
fliA FGGGGCGATGTTAGATTATTTGHP0404 FAAGGCGAAATCCCTTGTTCT
fliA RTTCCCATGCTCATTAAGGTGTHP0404 RCCTGAATGCTTTGCTTAGGG
NQO3 FAGA ATG CAC CCA CAA ACT CCsodB FAATCTCATCAAAGGCACG
NQO3 RTCG CAT TCT TTA GCG CTC TTTsodB RGCTTAGGCAATCCCAATA
acnB FTTAGGGATAATGCGGTCGTCnapA FTGAAGAGTTTGCGGACAT
acnB RGGGATTCGCCCTAGTAAAGCnapA RAGAGTGGAAGCTCGTTTT
trx2FACGCAGAGAAAATCGCTCATnapAExFTACTCAGAATTCAAAACATTTGAAATTCTAAAACAT
trx2RCTACAAGCCTTTCCCCCACTnapAExRTACTCACTCGAGGAATTTAAAGAGCTCTC

Table 1. Primers Used in This Study.

F: forward primer; R: reversed primer
Bold letters indicates nucleotides that were added at 5’ end to create a restriction site.
Restriction sites for ClaI (rpoN-1/napA-1), EcoRI (rpoN-2/napA-3), BamHI (rpoN-3/napA-2)
and PstI (rpoN-4/napA-4) are italics
CSV
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Confocal microscopy

To determine bacterial shape and survival ability, bacterial cells were stained with membrane-permeant and -impermeant fluorescent dye with LIVE/DEAD BacLight Bacterial Viability Kits (Molecular Probes, Invitrogen, USA) followed by confocal microscopy. H. pylori cells were collected, washed, and resuspended in BB liquid medium, then inoculated to the desired optical density at OD600 into BB liquid medium buffered with 10 mM sodium phosphate (pH 6.3) and supplemented with 10% newborn calf serum or pure water (preliminary OD600 0.05) and grown under microaerobic conditions. Aliquots taken at different time points were stained with SYTO 9 and propidium iodide (PI) for 15 min, and washed twice with PBS. Cells were then spread on slide glasses, covered with mounting medium and cover slips, and visualized by confocal microscopy (Leica TCS SP5; Leica Microsystems GmbH, Wetzlar, Germany). SYTO 9 is a green fluorescent membrane-permeant dye that labels all bacteria by staining nucleic acid, whereas PI is a red fluorescent membrane-impermeant dye that labels only bacteria with damaged membranes.

Quantitative real-time RT-PCR

Total cellular RNA was isolated from harvested bacteria by use of TRIzol reagent (Invitrogen). Then cDNA was obtained by use of the Revert Aid First Strand cDNA Synthesis Kit (Fermentas). The primers for PCR are in Table 1. An amount of 10 μl SYBR Premic Ex Taq (Takara) and 0.4 μl ROX Reference Dye (Takara) were contained in each 20 μl PCR reaction mixture. Then real-time RT-PCR involved use of the ABI Prism 7000 Sequence Detection System (Applied Biosystems) with the following protocol: one cycle at 95 °C for 10 s, 40 cycles at 95 °C for 5 s and 60 °C for 31 s. A melting curve analysis for each PCR reaction was performed after amplification to ensure the purity of the amplification product. The data were normalized by 16S rRNA expression in each sample and 3 biological replicates were performed. In this study, the 2-ΔΔCt method was used as the quantitative method in real-time PCR.

Preparation of bacterial cell lysates and 2-D gel electrophoresis (2-DE)

The wild-type and rpoN mutant were inoculated into BB containing 10% fetal bovine serum with a preliminary OD600 of 0.05 and cultured for 48 h. Then bacterial cells were harvested by centrifugation at 5,000×g for 10 min at 4 °C, washed 3 times with ice-cold PBS (pH 7.4) and solubilized in lysis buffer containing 8 M urea, 2 M thiourea, 4% CHAPS, 1% DTT, 1% pharmalyte (pH range 3~10), 1% protease inhibitor, and 1% nuclease mix (Amersham biosciences). After sonication (Vibra cell sonicator; 70% power, 2-s on/1-s off pulses, 5 min total), the solution was centrifuged at 20,000×g for 60 min at 4 °C and the insoluble material was discarded. The protein concentration was then measured by the Bradford method.

For isoelectric focusing, approximately 300 μg protein was adjusted to a total volume of 340 ml with rehydration buffer (containing 8 M urea, 4% CHAPS, 20 mM DTT, 0.5% Pharmalyte and a trace of bromophenol blue) and loaded onto 18 cm immobilized pH gradient (IPG) strip (pH 3–10 NL). The strips were rehydrated on an IPGphor instrument (Amersham Biosciences) for 12 h at 60 V. Then the voltage was set for 2 h at 100 V and 1 h at 500, 1000 and 5000 V and kept at 8000V until a total of 80 kVh. Subsequently, IPG strips were equilibrated for 15 min each in buffer (50 mM, Tris-HCl; pH 8.8, 6 M urea, 30% glycerol, 2% SDS, a trace of bromophenol blue) with 0.5% (w/v) DTT and 2% (w/v) iodoacetamide. For 2D separation, the strips were transferred onto 12% uniform SDS–PAGE gel, followed by electrophoresis conducted at 15 mA each gel for 30 min and then 30 mA each gel until the bromophenol blue dye reached the bottom of the gel by use of the PROTEAN II xi 2-D cell (Bio-Rad). The gels were silver-stained and scanned by use of ImageScanner II (Amersham biosciences) at 256 grayscale and 300 dpi. 2-DE was repeated 3 times with independently grown cultures. Image analysis involved use of ImageMaster 2D Elite 5.0 (Amersham Biosciences). The proteome profile of wild-type H. pylori 26695 was used as a reference for spot analysis, and a 2-fold change (P < 0.05) in spot volume was defined as the significant change.

In-gel digestion and MALDI-TOF/TOF MS

Protein spots showing differential expression on 2-DE gels were excised manually, then digested with trypsin and desalted by passing through a C18 ZipTip (Millipore, USA). The resulting peptides were mixed with a-cyano-4-hydroxycinnamic acid and spotted onto MALDI target plates. Peptide mass fingerprints were obtained by use of a MALDI-TOF/TOF-tandom mass spectrometer (Applied Biosystems). The MS and MS/MS spectra were analyzed with a 50 ppm mass tolerance by use of GPS Explorer V.2.0.1 and Mascot V 1.9 based on NCBI SWISSPROT and local H. pylori databases (April 2006 updated).

Recombinant expression and purification of NapA and antiserum preparation

From the napA complete cDNA sequence, we designed a pair of primers, napAExF and napAExR, to amplify the sequence encoding the mature peptide. The obtained fragment was digested by EcoRⅠand XhoI and inserted into the pTriEx-4 expression vector (Novagen, USA) that contains a 6-Histidine-tag (His-tag) that is supposedly fused with recombinant NapA. The recombinant plasmid was transformed into competent Escherichia coli BL21(DE3) cells for NapA protein overexpression. After induced expression with isopropyl-β-D-thio-galactoside at 28 °C, the bacterial pellets were collected by centrifugation and were re-suspended in PBS containing 1% Triton X-100 for probe sonication lysis. The recombinant NapA protein was purified by use of a His-bind column (Novagen, USA) following the instructions of the manufacturer. The antiserum was prepared with the purified recombinant NapA protein as described [20].

Western blot analysis of NapA

The wild-type and rpoN mutant H. pylori 26695 were inoculated into BB containing 10% fetal bovine serum with a preliminary OD600 of 0.05 and cultured for 24, 48 and 72 h. Then bacterial cell lysates were prepared as described previously. The Bradford method was used to determine protein concentration, and approximately 25–30 μg protein of each sample was loaded and separated by 12.5% SDS–PAGE. The proteins in the gel were then transferred onto a nitrocellulose membrane, which was blocked in 3% non-fat milk in TBS (10 mM Tris–HCl and 150 mM NaCl; pH 7.5), then incubated with the polyclonal antibody against NapA, washed 3 times with TBS, then incubated with secondary antibody (peroxidase-conjugated goat anti-rabbit IgG; 1/10,000 TBS dilution). Finally, the NapA protein was visualized in a colorimetric reaction.

Statistical Analysis

Data are presented as mean ± SEM. Statistical significance was determined by unpaired Student’s t test and one-way ANOVA. p < 0.05 was considered statistically significant. Results were analysed by use of Graphpad Prism (Graphpad Software Inc, La Jolla, CA, USA). Self-organizing map (SOM) analysis by the MATLAB 6.5 environment was used for SOM training. Illustration of SOM outputs by bar-graph display or component-plane presentations (CPP) was conducted in the MATLAB 6.5 environment (www.mathworks.com).

Results

σ54 is involved in H. pylori 26695 survival during the stationary phase

The mRNA level of rpoN (σ54) was significantly induced (P<0.05) in H. pylori 26695 in the stationary phase of culture (48 and 72 h) as compared with the exponential phase (24 h) (Figure 1A). In contrast, the expression of fliA and rpoD did not significantly change during the transition from the exponential to stationary phase (Figure 1A).

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Figure 1. RpoN is involved in H. pylori 26695 survival during the stationary phase.

(A) RT-PCR analysis of the mRNA levels of sigma factors in H. pylori 26695 at different growth stages. Data are mean ± SEM from 3 independent experiments. (B) The survival of ΔrpoN strain was deficient during the stationary phase. Bacteria were cultured in Brucella broth containing 10% fetal bovine serum, and numbers of colony formation units (CFU) per milliliter were determined at the times indicated. A representative assay of at least 3 trials is shown. Data are mean ± SEM from 3 independent experiments. (C) Lack of nutrition induces coccoid transformation and death of H. pylori cells. Wild-type and ΔrpoN mutant strain were cultured in liquid medium for 144 h. Cells stained with membrane-permeant SYTO 9 (green) and membrane-impermeant PI (red) were visualized by confocal microscopy. Data are representative of 3 independent experiments.

https://doi.org/10.1371/journal.pone.0072920.g001

To clarify whether rpoN is required for H. pylori survival, we constructed the rpoN null mutant, and then examined the growth curves of wild-type and rpoN mutant over 6 days. The rpoN mutant exhibited a marked decrease in viability as compared with wild-type H. pylori in the late stationary phase (Figure 1B). Furthermore, we examined H. pylori cell membrane integrity and morphologic features of the wild-type and rpoN mutant under nutrient-deficient conditions with membrane-permeant (SYTO 9) and membrane-impermeant PI fluorescent dyes, staining living and dead cells respectively. More rpoN-null cells lost cytoplasmic membrane integrity than did wild-type cells and transformed from its normal helical bacillary morphologic features to coccoid features after 144 h of nutrition deprivation (Figure 1C).

The above results indicate that σ54 indeed takes part in the nutrient-deficient response of H. pylori, so we investigated its regulation mechanism.

Comparison of differential expression of protein between wild-type and rpoN mutant H. pylori

We used proteomic analysis to compare the protein expression profiles of H. pylori 26695 and its rpoN null mutant in the early stationary phase to determine the mechanism by which σ54 regulates H. pylori survival. Compared with the proteome of wild-type H. pylori, 27 protein spots were differentially expressed in the rpoN mutant (Figure 2A; Table 2). The functions of these proteins were involved in energy metabolism, biosynthesis, redox reaction, protein fate, and so on (Table 2; Figure 2B and C). The differential expression of these proteins was further confirmed at the mRNA level by quantitative real-time PCR (Figure 3).

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Figure 2. Proteomics analysis of proteins with differential expression between wild-type and ΔrpoN H. pylori 26695.

(A) Representative 2-DE maps of wild type (a) andΔrpoN mutant (b) in the early stationary phase. IEF, isoelectric focusing. Protein spots showing significant changes between the 2 strains are indicated by circles and numbers. (B) Hierarchical clustering analysis of the 27 differentially expressed proteins; On the scale bar, blue and red represent the degree of down- and up-regulation of protein abundance, respectively. (C) Gene ontology classification of the 27 proteins with differential expression.

https://doi.org/10.1371/journal.pone.0072920.g002

AnnotationSpot no. aGene symbolTIGR ORF no. bFold-changec
Energy metabolism
Oxidative phosphorylation/Nitrogen metabolism1NQO3HP1266+3.83
2NQO3HP1266+3.83
TCA cycle3acnBHP0779+2.35
Pentose phosphate metabolism11devBHP1102+2.30
Biosynthesis
Amino acid biosynthesis6serCHP0736+2.41
7asdHP1189+2.24
Riboflavin biosynthesis22ribHHP0002-3.68
Protein synthesis15frrHP1256+3.23
16frrHP1256+7.87
Protein fate
Glutathione metabolism9pepAHP0570-3.34
Protein stability25SP:P16436HP0404-2.56
Antioxidant proteins
Thioredoxin, glutaredoxin, and glutathione23trx2HP1458-2.56
26trx2HP1458-2.30
27trx2HP1458-4.55
Detoxification17napAHP0243Absent
18napAHP0243Absent
19napAHP0243Absent
12sodBHP0389+3.16
20mda66HP0630+3.84
Unknown function protein5chpdHP0310+3.06
13dsbCHP0377-2.49
21chpdHP1046-2.13
8chpdHP0385-2.00
10chpdHP1242-3.09
24chpdHP0614-2.00

Table 2. Summary of protein spots showing significant changes in the 2-DE maps of wild-type H. pylori 26695 and its rpoN mutant.

aSpot numbers refer to the proteins labeled in Figure 2.
bTIGR ORF no. follows the nomenclature of H. pylori strain 26695.
cFold-change for each protein derived from isogenic rpoN mutant compared with the protein derived from wild-type H. pylori 26695.
dchp: conserved hypothetical protein
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Figure 3. mRNA expression confirms the protein expression of most genes from 2-DE maps.

mRNA and protein levels of the wild-type (WT) and ΔrpoN involved in energy metabolism (A), antioxidation (B), biosynthesis (C) and protein fate (D). (a) Quantification of total protein spot volume ratio from 2-DE analysis; (b) RT-PCR analysis of mRNA levels. Box-and-whisker plots represent the median value with 50% of all data falling within the box. The “whiskers” extend to the 5th and 95th percentiles. Signals were normalized to 16S rRNA levels. Data are mean ± SEM of replicated experiments. *P <0.05, **P <0.01, ***P <0.001.

https://doi.org/10.1371/journal.pone.0072920.g003

NapA recombinant expression, purification, and polyclonal antibody preparation

We performed recombinant expression and purification of NapA. The deduced molecular weight of recombinant NapA was approximately 24 kDa, including a 7-kDa 6-Histidine-tag expressed by the plasmid pTriEX-4, which was generally consistent with the SDS-PAGE results (Figure 4A). Western blot analysis revealed only 1 band, whose size was in agreement with the predicted molecular weight of the recombinant NapA (Figure 4A). Therefore, the prepared antiserum could uniquely recognize recombinant NapA.

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Figure 4. The protein expression of NapA was decreased inΔrpoN strain from the exponential to stationary phase.

(A) Expression and purification of recombinant NapA. Lane 1: Total protein of E. coli with pTriEx-4/NapA, without induction; Lane 2: Total protein of E. coli with pTriEx-4/NapA, with isopropyl-β-D-thio-galactoside induction; Lane 3: purified recombinant NapA; WB: Western blot analysis of the polyclonal antibody of NapA. The band shows that the recombinant NapA was recognized by polyclonal antibody. (B) NapA protein expression in wild-type and ΔrpoN strain from the exponential to stationary phase. The graph represents the relative NapA protein expression from western blot analysis.

https://doi.org/10.1371/journal.pone.0072920.g004

Expression of NapA was positively regulated by σ54

The expression of NapA was absent in the rpoN mutant during the stationary phase (Table 2 and Figure 2), so NapA was positively regulated by σ54. We confirmed this result with western blot analysis (Figure 4B). The protein level of NapA was gradually increased in the wild-type strain and quickly reduced in rpoN mutant from the exponential to stationary phase (Figure 4B).

napA null mutant survival was decreased under nutrient deficiency

To determine whether NapA protein takes part in H. pylori survival in a nutrient-deficient environment, we constructed the napA null mutant and examined the growth curves of the wild-type and napA mutant H. pylori during the stationary phase and in water. The napA mutant showed a marked decrease in viability as compared with wild-type H. pylori (Figure 5A/C) both in the stationary phase and in water. Additionally, most napA mutants transformed from the normal helical bacillary features to coccoid features (Figure 5B/D).

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Figure 5. NapA is involved in H. pylori 26695 survival during the stationary phase and in water.

(A) The survival of ΔnapA strain was deficient during the stationary phase. Bacteria were cultured in Brucella broth containing 10% fetal bovine serum, and numbers of CFUs per milliliter were determined at the times indicated. (C) The survival of the ΔnapA strain was deficient in water. Bacteria during the exponential phase were placed in pure water and cultured in an enclosed environment, and numbers of CFUs per milliliter were determined at the times indicated. A representative assay of at least 3 trials is shown. Data are mean ± SEM from 3 independent experiments. (B) Lack of nutrition induces coccoid transformation and death of H. pylori cells. Wild-type and ΔrpoN mutant were cultured in liquid medium for 144 h. (D) Inoculation into water induces coccoid transformation and death of H. pylori cells. Wild-type and ΔnapA mutant survived in water. Cells stained with membrane-permeant SYTO 9 (green) and membrane-impermeant PI (red) were visualized by confocal microscopy. Data are representative of 3 independent experiments.

https://doi.org/10.1371/journal.pone.0072920.g005

Discussion

H. pylori inevitably responds to nutrient-deficient stress during in vitro transmission, but studies of this observation are few, especially the molecular mechanism. Nutrient limitation also occurs when the bacteria enters the stationary phase, because their rapid growth and efficient metabolism in the exponential phase ultimately results in depletion of growth-supporting substrates and nutritional shift-down. To survive in this starved condition, H. pylori requires rapid alterations in gene expression to adapt to an unfavorable environment. We found that the expression of rpoN was significantly increased when H. pylori entered the stationary phase (Figure 1A), and the survival of the rpoN mutant strain was weakened (Figure 1B,C). These results confirm the previous findings [17] and imply that σ54 has an important function in H. pylori survival with limited nutrition. However, the underlying mechanism is still not clear. Thus, we compared the protein expression pattern of the wild-type and rpoN mutant strain during the stationary phase. Proteomic analysis identified 11 proteins downregulated and 10 proteins upregulated by σ54 in stationary phase. The differential expression of these proteins was further confirmed at the mRNA level (Figure 3). Surprisingly, the expression of 3 proteins (FabE, RibH, and PkiC) conflicted with their mRNA levels. The protein levels of these 3 genes were decreased while their mRNA levels were increased in the rpoN mutant as compared with wild-type H. pylori. Certain regulators might be activated directly or indirectly in the rpoN mutant and post-transcriptionally regulate these genes. mRNA processing and decay in prokaryotes can be controlled by post-transcriptional regulation [21], and post-transcriptional regulatory mechanisms may be important in facilitating the response of H. pylori to diverse environmental stimuli [22–24].

According to proteomic analysis, some proteins were significantly increased in the rpoN mutant relative to wild-type H. pylori (Figure 2, Table 2). The expression of 3 enzymes (aconitase B, NADH-ubiquinone oxidoreductase NQO3 subunit, glucose-6-phosphate 1-dehydrogenase) involved in energy metabolism was increased in the rpoN mutant. Additionally, the expression of 4 proteins involved in biosynthesis was increased, including that of 2 enzymes (phosphoserine aminotransferase, aspartate-semialdehyde dehydrogenase), responsible for amino acid biosynthesis; 1 protein (ribosome releasing factor), participating in protein synthesis; and beta ketoacyl-acyl carrier protein synthase II, related to fatty acid biosynthesis. During the stationary phase, when growth ceases, bacteria have developed a strategy to balance the need to proliferate with the need to protect themselves against stress [25]. Our data indicate that σ54 negatively regulates proteins related to energy metabolism and biosynthesis with deficient nutrients, and this control would permit the bacteria to adjust themselves to nutritional stress for increased survival under this condition. A previous study showed that disruption of acnA encoding aconitase enhanced the survival of stationary-phase Staphylococcus aureus cells about 100-fold [26].

Protein degradation has an important function for bacteria survival in nutrition-deficient environments [27]. For example, ClpP-containing proteases are critical in stationary-phase adaptation of E. coli [28]. It can be seen from the Figure 2 that the proteins taking part in protein fate were decreased in level in the rpoN mutant during the stationary phase. Aminopeptidase a/I and protein kinase C inhibitor (SP: P16436), 2 proteins involved in protein fate, are responsible for degradation of proteins, peptides and glycopeptides, which would facilitate amino acid recycling under nutrient-deficient situations to increase the survival of bacteria.

The redox protein thioredoxin and the associated enzyme TrxR constitute a thiol-dependent reduction-oxidation system that can catalyse the reduction of specific proteins (e.g., a number of reactive oxygen species detoxification enzymes) by NADPH [29]. In our study, the expression of thioredoxin was downregulated in the rpoN mutant. Mutation of thioredoxin in H. pylori resulted in increased sensitivity to several forms of oxidative and nitrosative stress [30]. Previous study revealed that oxidative damage may be the Achilles’ heel of stationary-phase bacterial cells and cells subjected to nutrient starvation would have increased demand for oxidation management [31]. NapA plays an important role in protecting H. pylori against oxidative stress, and the survival of the napA-null H. pylori mutant was decreased in the presence of oxidative stress [32]. We found that the expression of NapA was decreased in the rpoN mutant but increased in the wild-type strain in the stationary phase (Figure 2 and Figure 4B). Furthermore, the survival of the napA mutant was weakened as compared with the wild-type strain during the stationary phase (Figure 5A). Our study indicated that NapA was positively regulated by σ54, which would benefit H. pylori to defend against oxidative damage in the stationary phase and enhance survival under nutritional starvation. Moreover, the survival of the napA mutant was weakened in water as compared with the wild-type strain (Figure 5C), and most of the napA mutants become coccoid (Figure 5D). The H. pylori non-culturable coccoid form was previously found in tap water kept at 4°C for 7 days [33], so water is one of the risk factors of H. pylori transmission and infection in vitro [34,35]. Positive regulation of NapA by σ54 would be helpful for prolonged survival of H. pylori in water, which may play an important role in H. pylori transmission and infection.

However, a previous report noted that NapA production is under the control of ferric uptake regulator (Fur), which behaves as a specific repressor or as a more general regulator under oxidative stress [32], whereas our study indicated that NapA was positively regulated by σ54 during nutritional deficiency. Thus, further experimental confirmation is required to evaluate the relative contributions of Fur and σ54 on regulating NapA production in H. pylori under certain unfavorable conditions.

Unexpectedly, we found that the expression of 2 antioxidant proteins, superoxide dismutase and modulator of drug activity, was elevated in the rpoN mutant. This increase might be a compensatory response by the rpoN mutant in the stationary phase to combat oxidative stress, because the expression of other important antioxidant proteins (thioredoxin and NapA) was decreased in the rpoN mutant. Consistent with our presumption, modulator of drug activity was found as a novel potential antioxidant by its upregulation compensating for the loss of other major antioxidant components [36].

Additionally, the expression of 6 proteins with unknown function was decreased in the rpoN mutant with nutrition deficiency. Understanding the roles of these proteins could provide further insights into the σ54 function in H. pylori.

Conclusions

The present work reveals that σ54 is involved in H. pylori survival in the stationary phase. We describe a simple model of the regulation of σ54 on H. pylori survival of stationary phase (nutritional stress). Proteomic analysis revealed that σ54 can decrease the need for proliferation by negatively regulating the genes involved in energy metabolism and biosynthesis and enhance stress-resistant ability by positively regulating the genes involved in protein fate and redox reaction, thus resulting in prolonged survival in a nutrient-starved environment. Our investigation provides new insight into the adaptive regulation of H. pylori under stress conditions.

Author Contributions

Conceived and designed the experiments: SY JJ LS. Performed the experiments: SY LS LW SY LX LP QG ZY. Analyzed the data: SY LY. Contributed reagents/materials/analysis tools: LY. Wrote the manuscript: SY LS. Supervised the study: JJ.

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