Transcriptional Profiling and Molecular Characterization of the yccT Mutant Link: A Novel STY1099 Protein with the Peroxide Stress Response and Cell Division of Salmonella enterica Serovar Enteritidis

Abstract

Uncharacterized protein STY1099, encoded by the yccT gene, was previously identified as the most altered (i.e., upregulated) protein among the ZnO nanoparticle (NP) stimulon of Salmonella enterica serovar Enteritidis. Here we combined various stress response-related assays with functional genetics, global transcriptomic and proteomic analyses to characterize the yccT gene and its STY1099 product. Exposure of S. enterica Enteritidis to H₂O₂ (i.e., hydrogen peroxide) resulted in a significant (p < 0.0001) upregulation of the yccT gene, whereas exposure to paraquat (i.e., superoxide) did not alter the expression of the yccT gene. The ∆yccT mutant of S. enterica Enteritidis exposed to 0.75 mM H₂O₂, showed significantly reduced (p < 0.05) viability compared to the wild type strain. Further, comparative transcriptome analyses supported by Co-immunoprecipitation (Co-IP) assay revealed that STY1099 protein plays a role in redox homeostasis during the peroxide stress assault via involvement in the processes of respiratory nitrate reductase, oxidoreductase activities, cellular uptake and stress response. In addition, we found that the STY1099 protein has the monopolar subcellular location and that it interacts with key cell division proteins, MinD, and FtsH, as well as with a rod shape-determining protein MerB.

1. Introduction

Non-typhoidal Salmonella (NTS) are zoonotic pathogens of global health importance [1]. The lifestyle of NTS includes frequent multi-host transmission events and short- or relatively long-term survival in the external environment outside animal hosts [2]. To respond to these changing conditions, NTS has acquired a variety of adaptive stress response mechanisms that ensure long-term survival of the pathogen in harsh environments [3,4]. Response to oxidative stress is considered a critical adaptive mechanism for NTS, both within the host [5] and outside the primary habitat of this pathogen [6].

Generally, Salmonella enterica possesses two distinct oxidative stress-response systems: (i) a peroxide stress-response system and (ii) a superoxide stress-response system [7]. OxyR, a 34-kDa protein composed of an N-terminal DNA-binding motif and a C-terminal regulatory domain, is the major transcriptional regulator for the expression of the peroxide stress-response genes [8]. OxyR controls the expression of genes encoding enzymes that degrade peroxide; catalase (KatG) and alkyl hydroperoxide-NADPH oxidoreductase (AhpCF), proteins involved in DNA protection (DpS), redox balance (GorA, GrxA and TrxC), as well as repressors of iron transport (Fur) [9]. In addition to direct transcriptional control, OxyR controls numerous genes indirectly, via the synthesis of the small regulatory RNA (oxyS) by affecting mRNA stability and translational efficiency [10].

A two-regulatory component system, superoxide radical response (SoxRS) is essential for superoxide stress response [11]. Exposure of NTS to a superoxide-generating agent (e.g., paraquat) leads to synthesis of SoxR, a 17-kDa protein of the MerR family of transcriptional activators, which further initiates expression of the soxS gene [12]. Upregulation of the soxS results in the activation of the soxRS regulon, which includes an efflux system (AcrAB), the manganese-containing superoxide dismutase (SodA), a DNA repair system (endonuclease IV, Nfo), iron uptake (Fur) and electron transport (FldA and FldB).

The oxidative stress regulon commonly overlaps with other stress regulons, such as osmotically inducible genes (chaA and nrdHIEF), heat stress-response genes (dnaJ, dnaK, htpX, clpB, hslO, hslU and hslV), further indicating a strong pleiotropic effect of the oxidative stress response on bacterial physiology [13]. Exploring the antimicrobial effect of zinc oxide nanoparticles (ZnO NPs), specifically their ability to prevent S. enterica serovar Enteritidis from forming biofilms, we discovered a group of stress response proteins that showed significant upregulation with exposure to ZnO NPs [14]. This group of stress-response proteins consisted primarily of chaperones, proteases governing cell wall, membrane and envelope biogenesis (HtrA, DegP, ClpC, TolB, AotJ, GroEL, and CspC), as well as a hypothetical protein (STY1099). Among this ZnO response stimulon, STY1099 exhibited the most significant upregulation (16-fold), indicating a possible role in protecting S. Enteritidis from reactive oxygen species generated by ZnO NPs.

In this study, we employed functional genetics and proteomics as well as global transcriptomic approaches to characterize the yccT gene that encodes STY1099 protein, a novel prokaryotic stress response protein, using S. enterica subs. enterica serovar Enteritidis as a model organism.

2. Materials and Methods

2.1. Bacterial Strains, Plasmids and Growth Conditions

Escherichia coli DH5α was used as host for the recombinant plasmid pTre99A, while Salmonella enterica subs. enterica serovar Enteritidis ATCC 13076 strain served as the wild type. Plasmid pKD3 was used as a template for amplification of the Cm resistance cassette and the pTre99A was used as an expression vector. Plasmids pKD46 and pCP20 were used during the Red Lambda procedure. Growth media was supplemented with ampicillin (100 μg/mL), chloramphenicol (30 μg/mL) and arabinose 10 mM (Sigma Chemical Co., St. Louis, MO, USA) for maintenance of plasmids and selection of bacterial strains, as required.

2.2. Gene Expression Assay

Overnight cultures of the wild type S. enterica Enteritidis strain were diluted 1/100 in 100 mL of Luria–Bertani (LB) medium and grown at 37 °C with constant shaking at 190 rpm to optical density at 600 nm of 0.5. This mid-exponential growth phase culture was exposed to 3 mM of H₂O₂. Cultures were additionally incubated for 60 min and harvested by centrifugation. Total RNAs were extracted using the RNeasy Mini kit (Qiagen), following the manufacturer’s instructions. Synthesis of complementary DNA (cDNA) was carried out using iScriptTM Reverse Transcription (Bio-Rad Laboratories, Inc., Hercules, CA, USA). Quantitative PCR was performed using Power SYBR green master mix kit (Applied Biosystems, Foster, CA, USA). The rtcR gene was selected as an internal reference control and the data were reported as the fold change relative to levels in the susceptible strains using the comparative C_T method [14].

2.3. Construction of ∆yccT, ∆napB, ∆gutM and ∆ahpCF Salmonella enterica Enteritidis Strains

Construction of chromosomal deletions was performed using the Red Lambda recombination system as previously described [15]. Briefly, the chloramphenicol resistance cassette, cat, flanked by Flp recognition sites, was amplified using the pKD3 plasmid as the DNA template. All primers used for the construction of mutants and for the complementation study are listed in

Table 1. Primers used in this study for gene deletions and complementation.

Primer Name	Sequence (5′–3′)
Primers for yccT, napD, gutM, ahpC and ahpF Deletion
yccT: Forward	CTT CCT TGC TCT CTG TTT GCC GGT GAC TGT TTT TGC CAC AAC GCT CCG TTT GTA GGC TGG AGC TGC TTC G
yccT: Reverse	CCC ATT GCA GAA AAT GAT GGC GTG TCT GCG GGT CGG CCA GTC GGA ACC AAC ATA TGA ATA TCC TCC TTA G
napD: Forward	ATG CGC ACT AAC TGG CAG GTC TGT AGC CTG GTC GTG CAG GCC AAA AGT CAT GTA GGC TGG AGC TGC TTC G
napD: Reverse	TCA TGG TGT TTC CTC ACC TTG CTC ATC CTG CTG GTG ATA AAC CAG CGA CAC ATA TGA ATA TCC TCC TTA G
gutM: Forward	ATG GTT TCC ACT CTG ATT ACC GTC GCC GTT ATC GCC TGG TGT GCG CAA CTT GTA GGC TGG AGC TGC TTC G
gutM: Reverse	TTA CCC ATG TTT CAG TTT AAG CGC CAA TGA TAG TGC ATT CTG CGC GAG CGC ATA TGA ATA TCC TCC TTA G
ahpC: Forward	ATG TCC TTA ATT AAC ACC AAA ATC AAA CCT TTC AAA AAC CAG GCG TTC AAT GTA GGC TGG AGC TGC TTC G
ahpC: Reverse	TTA GAT TTT ACC GAC CAG GTC TAA AGA TGG AGC CAG AGT CGC TTC GCC TTC ATA TGA ATA TCC TCC TTA G
ahpF: Forward	ATG CTC GAC ACA AAT ATG AAA ACC CAG CTC AGG GCT TAC CTT GAG AAA CTT GTA GGC TGG AGC TGC TTC G
ahpF: Reverse	TTA TGC GAT TTT GGT ACG AAT CAG ATA ATC AAA GGC GCT CAA CGA GGC TTC ATA TGA ATA TCC TCC TTA G
Primers for Conformation of yccT, napD, gutM, ahpC and ahpF gene Deletions
yccT mutant F	AAA GTG TAC GAC AAA CCT GAC A
yccT mutant R	TGA GCA ACC AAC GCG ATA TGT T
napD mutant F	GCT GCC AGG ACA GTT GTG AAC C
napD mutant R	CCG TTC CGC AAA AAC GGC ACG G
gutM mutant F	TTT ATG CCA GCC CGA AAG CGT C
gutM mutant R	GCA TGT GCG TTG GCT TTC CTC G
ahpC mutant F	ACT TTA GAT GGC TGA CAG GGC GCA
ahpC mutant R	CGC GGG TGC GCC CAT GAC TGA AAC
ahpF mutant F	GCC GCC TTA CTC TGA CGT GAA ATA
ahpF mutant R	TTA ACA GAC CGT TTC AGA GTA TTG
Primers for yccT Mutant Complementation a
yccT-F	TCA CCC GGG ATT CGA TTC CGT AGT TAA CCT
yccT-R	GCG GTC GAC AGC AAA ACG CCA AAA TAT GTC

^a Underline bases represent restriction endonuclease sites: SmaI and SalI.

. Amplified cat cassettes were used to transform the wild type strain harboring the Red recombination plasmid, pKD46. Introduction of desirable mutations was verified by PCR and DNA Sanger sequencing. The deletions were transferred to strains by P22 transduction. To excise the cat cassette, a temperature sensitive Flp recombinase-expressing vector, pCP20, was introduced via electroporation. The pCP20 plasmid was further cured by growing the mutants at an elevated temperature (42 °C). All mutants were verified with PCR and sequencing and used for later functional analysis.

2.4. Oxidative Stress Killing Assay

The oxidative killing assay was performed using overnight cultures of the wild type S. enterica Enteritidis ATCC 13076 and its ∆yccT, ∆napB, ∆gutM and ∆ahpCF mutant strains grown in LB at 37 °C with constant shaking at 180 rpm. Seed cultures were diluted 1/100 in 100 mL freshly prepared LB and grown to optical density at 600 nm of 0.4. Each wild type and mutant culture (∆yccT, ∆napB, ∆gutM and ∆ahpCF) was exposed at mid-exponential growth phase to H₂O₂ in a final concentration of 3 mM. Oxidative stress was maintained for 60 min under the same temperature and shaking conditions. Viable cell counts were carried out by 10-fold dilutions in 0.9% NaCl at time zero (before H₂O₂ exposure) and then at every 15 min of incubation. Aliquots of 0.1 mL were plated on LB agar in triplicate and then incubated at 37 °C for 24 h.

2.5. Complementation Study

A DNA fragment containing the yccT gene, plus 150 bp upstream and downstream was amplified using the genomic DNA of S. enterica Enteritidis ATTC 13076 as template. Plasmid pTrc99A was digested with SmaI and SalI restriction enzymes, and the 975 bp product containing an integral yccT gene was cloned into pTrc99A. The recombinant plasmid pTrc99A-yccT was introduced into ∆yccT S. enterica Enteritidis ATCC 13076 strain, and transformants were selected on LB agar containing ampicillin. As control for the complemented ∆yccT S. enterica Enteritidis ATCC 13076 strain, the wild type S. enterica Enteritidis ATTC 13076 and ∆yccT S. enterica Enteritidis ATCC 13076 strains were transformed with an empty pTrc99A vector.

2.6. Preparation of Samples for RNA Extraction

Untreated and 30 min treated cultures (10 mL volume) of the wild type and its three mutants were centrifuged at 4000 rpm for 5 min. The resultant cell pellets were washed two times followed by RNA extraction using the RNeasy Mini kit (Qiagen) following the manufacturer’s instructions. Sample quality was assessed using capillary electrophoresis (e.g., Agilent BioAnalyzer 2100), generating an RNA integrity number (RIN). A RIN of eight or greater was required to pass initial QC.

2.7. RNA-Seq Analysis

After quality control, RNA samples were converted to Illumina sequencing libraries using Illumina’s TruSeq Stranded Total RNA Library Prep Human/Mouse/Rat Sample Preparation Kit (Cat. # 20020597) at the University of Minnesota Genomics Center. Approximately 500 nanograms of total RNA was rRNA depleted using sequence-specific Ribozero capture probes. The mRNA was then fragmented and reverse transcribed into cDNA. The cDNA fragments were blunt-ended and ligated to indexed (barcoded) adaptors and amplified using 15 cycles of PCR. Final library size distribution was validated using capillary electrophoresis and quantified using fluorimetry (PicoGreen). Indexed libraries were then normalized and pooled in an equimolar fashion. Truseq libraries were hybridized to a single read flow cell and individual fragments were clonally amplified by bridge amplification on the Illumina cBot. Once clustering was complete, the flow cell was loaded on the HiSeq 2500 and sequenced using Illumina’s SBS chemistry. Base call (bcl) files for each cycle of sequencing were generated by Illumina Real Time Analysis (RTA) software. Primary analysis and index de-multiplexing were performed using Illumina’s bcl2fastq v2.20.0.422. The end result of the bcl2fastq workflow resulted in creation of de-multiplexed FASTQ files (i.e., raw sequence data). Quality control on raw sequence data for each sample was performed with FastQC. Read mapping was performed via Hisat2 (v2.0.2) using the Salmonella enterica Enteritidis genome P125109 as reference. Gene quantification was done via Feature Counts for raw read counts. Differentially expressed genes were identified using the edgeR (negative binomial) feature in CLCGWB (Qiagen, Valencia, CA, USA), followed by filtration based on a minimum 2× absolute fold change and false discovery rate (FDR) corrected p < 0.05.

2.8. Real-Time PCR

The RNA Seq data were validated by quantitative real-time PCR (qRT-PCR). Synthesis of cDNA was carried out using iScript^TM Reverse Transcription (Bio-Rad Laboratories, Inc. Hercules, CA, USA). qRT-PCR was performed on a MiniOpticon^TM Real-Time PCR Detection System (Bio-Rad Laboratories, Hercules, CA, USA) with iQTM SYBR^® Green Supermix kit (Bio-Rad Laboratories, Hercules, CA, USA). Gene rtcR, encoding for transcriptional regulator protein RtcR, was selected as an internal reference gene. The expression of rtcR in the wild type and its isogenic yccT mutant was not affected by H₂O₂ treatment or yccT mutation. Primers of seven genes (ego, pduA, ydeZ, ydeV, yneC, rplP and rplV) were designed to generate internal fragments ranging from 91 bp to 129 bp in size (Table S1).

2.9. Subcellular Localization of STY1099

Subcellular localization of the STY1099-fused with green fluorescent protein (GFP) was carried out in the transformed S. enterica Enteritidis ATCC 13076 wild type strain by inverted TiE deconvolution microscope. Briefly, the yccT-egfp fusion gene was amplified using the genome of S. enterica serovar Enteritidis ATCC 13076 and egfp plasmid (AddGene, Watertown, MA, USA) as the DNA template. The primers for yccT PCR amplification were 5′–GGAATTCCATATGAAAACCGGCGCGCTAGCCACCTT–3′ and 5′–TCCTCGCCCTTGCTCACCATGGATCCAGAGGGCGGCTGTTTTTCCGC–3′and the primers for egfp PCR amplification were 5′–GCGGAAAAACAGCCGCCCTCTGGATCCATGGTGAGCAAGGGCGAGGA–3′ and 5′–GGAATTCCATATGAAAACCGGCGCGCTAGCCACCTT–3′. Fusion of yccT and egfp was carried using amplified yccT and egfp as DNA templets and primers 5′–GGAATTCCATATGAAAACCGGCGCGCTAGCCACCTT–3′ and 5′–GGAATTCCATATGAAAACCGGCGCGCTAGCCACCTT–3′. The amplified yccT-egfp gene was digested with NdeI and XholI and ligated into the pET42b vector. An egfp gene intended for non-fusion was amplified with 5′–GGAATTCCATATGGTGAGCAAGGGCGAGGA–3′ and 5′–CCGCTCGAGTTACTTGTACAGCTCGTCCA–3′. The amplified egfp gene was digested with NdeI and XhoIl and followed ligation into the pET4b vector. After plasmid isolation and sequence verification, the pET42b::yccT-egfp and pET42::egfp plasmids were used to transform S. enterica Enteritidis ATCC 13076 wild type. Concentration of 0.5 mM of isopropyl ß-D-1-thiogalactopyranoside (IPTG) was used to induce expression of the yccTEGFP and EGFP, respectively. Transformed S. enterica Enteritidis cells were spotted on slides with ProLong^® Diamond Antifade Mountant (4′6-diamidino-2-phenylindole) and imaged. Images were acquired in a Nikon TiE microscope equipped with a confocal A1R scan head. All images were captured with a 100× Apo TIRF 1.49 NA objective. GFP fluorescence was excited with a 488 nm laser and fluorescence collected through a 500–550 nm emission filter. The confocal aperture was set to 16.6 µm (0.3 AU) and the voxel size was 31 × 31 × 100 nm (XYZ). All acquisition parameters were kept constant between experimental and control samples. The images were processed with 3D automatic deconvolution (Nikon Elements software, 20 iterations).

2.10. Co-Immunoprecipitation of STY1099

Co-immunoprecipitation (Co-IP) assay was carried out at 4 °C unless otherwise indicated, using E. coli 21 and S. enterica Enteritidis ATCC 13076 strains. Briefly, the fusion yccT-flag gene was amplified using the genome of S. enterica Enteritidis ATCC 13076 as the DNA template. The primers for PCR amplification were 5′–GGA ATTCCATATGAAAACCGGCGCGCTAGCCACCTT–3′ and 5′–CCGCTCGAGTCACTTGT CGTCATCGTCTTTGTAGTCAGAGGGCGGCTGTTTTTCCGCCCATT–3′. The amplified yccT-flag gene was digested with NdeI and XholI and ligated into the pET42b vector. Two plasmids, pET42::yccT and pET42b empty vector, were used to transform E. coli, respectively. E. coli pET42b was used as negative controls. Expression of yccT was induced using 0.5 mM of IPTG. The expression of yccT was confirmed by performing Western blot. To pull down the STY1099-flag tagged protein, the lysates (E. coli served as negative control, or mixture of E. coli and S. enterica Enteritidis) were incubated with anti-FLAG M2 agarose (Sigma) at 4 °C overnight on an end-over-end rotator. After centrifugation the beads were washed with lysis buffer three times followed by proteins elution. The samples of eluted proteins were loaded onto a 10% SDS-PAGE gel. The protein bands were visualized by Coomassie Brilliant Blue R-250 (Thermo Fisher Scientific, Waltham, MA, USA) and excised for protein identification. After in-gel trypsin digestion the peptide mixture was analyzed by capillary liquid chromatography-mass spectrometry (LC-MS) on an Eksigent 1D plus LC with a MicroAS autosampler (Dublin, Ireland) online with an Orbitrap Velos MS system (Thermo Fisher Scientific, Waltham, MA, USA) as previously described [16].

2.11. Experimental Replications and Bioinformatics

Data from the gene expression, oxidative killing assays, global transcriptomics and RT-qPCR represent the average of three biological replicates. Kinetic data were analyzed by CoStat version 6.4 software (Co-Hort Software, Monterey, CA, USA) using the homogeneity of linear regression slopes method to test for significant (p < 0.05) differences. Gene expression data were analyzed by t-tests. Nucleotide sequence translation was carried out using EMBOSS Transeq [17] (the European Molecular Biology Laboratory—European Bioinformatics Institute; Hinxton, Cambridge, United Kingdom). The neighbor-joining algorithm [18] was used to generate the phylogenetic tree. The protein sequences were aligned using Clustal Omega [19] and colored using the “Percentage Identity” color-scheme in Jalview [20]. The STY1099 protein binding site and tertiary structure predictions were determined using RaptorX algorithms [21]. The gene ontology (GO) analysis was conducted using the Database for Annotation, Visualization and Integrated Discovery (DAVID) [22]. Signal peptide was determined using the SignalP 5.0 software version [23].

3. Results

3.1. Phylogeny, Conserved Domains and Structural Characteristics of STY1099 Protein

Phylogeny of the yccT gene sequence greatly resembled taxonomic relationships of the tested species (Figure 1A). Four different Salmonella serovars formed a distinct cluster, while Shigella flexneri, a close relative of the Escherichia coli species, clustered together with E. coli (Figure 1A). Vibrio cholerae (Vibrionaceae), Haemophilus influenzae (Pasteurellaceae) and Serratia spp. (Enterobacteriaceae) were joined to the main tree basally, indicating a distant phylogeny of their yccT sequences (Figure 1A).

The overall average pairwise distance among the three families, Enterobacteriaceae, Vibrionaceae and Pasteurellaceae, was 0.437, indicating any two bacterial strains from this group would diverge, on average, 43.7% from each other based on the yccT gene sequence. Alignment of the STY1099 protein sequence revealed numerous conserved domains, including amino acid positions, 1, 2, 21, 34, 38, 42, 62, 83, 90, 103, 135, 137, 155, 156, 162, 200, 203, 206, 210, 211, 214 and 218 (Figure 1B). The STY1099 protein sequences, from this diverged group of bacteria, exhibited common binding sites with high pocket multiplicity (PM) values for SO₄ (PM 20), Zn⁺ (PM 20), Na⁺ (PM 9) and HO (PM 9). Interestingly, the first amino acid binding site for each ligand, SO₄ (L42), Na⁺ (N156), Zn (Q62) and HO (L34) was completely conserved among the tested species (Figure 1B), suggesting a ubiquitous physiological role of this protein. Based on the S. enterica Enteritidis protein sequence the STY1099 protein contains two primary domains; domain 1 (p = 6.07 × 10⁻³; from 1 to 158 aa) and domain 2 (p = 4.14 × 10⁻²; from 159 to 220 aa), forming four α-helixes and three antiparallel β-pleated sheets (Figure 1C). Also, the same protein sequence, with a high likelihood (0.9497), contains a Sec/SPI “standard” secretory signal peptide with a cleavage site located between positions 20 and 21 and VFA/TT amino acid sequences (probability 0.9324).

3.2. The yccT Gene Is Highly Inducible upon Exposure to Hydrogen Peroxide, But Not to Parquet

In our previous study we carried out a STRING analysis to identify an interactome of protein STY1099 [23]. This analysis with a high confidence score (confidence score, 0.70) showed that the STY1099 interacts with several proteins in the proteome of S. enterica Enteritidis including NapD (an assembly protein for periplasmic nitrate reductase) and GutM (a DNA-binding transcriptional activator). To determine whether or not reactive oxygen species caused upregulation of STY1099 and its interactome (NapD and GutM proteins), we tested the expression of genes, yccT (STY1099), gutM (GutM), napD (NapD) and two reference genes oxyR and sodA, using peroxide (H₂O₂) and superoxide (paraquat) as oxidative agents. No significant changes in expression of yccT, napD and gutM were observed during treatment of S. enterica Enteritidis with paraquat (Figure S1). In sharp contrast, exposure of S. enterica Enteritidis to H₂O₂ resulted in a significant upregulation of the yccT gene. Figure 2 shows the expression dynamics of yccT, gutM and napD alongside oxyR and sodA in the presence of 3 mM H₂O_2, and in controls over 60 min.

Most notably, the expression of yccT exhibited a profound upregulation with the H₂O₂ treatment. Significant upregulation (p < 0.0001) of yccT was observed at 15 min (11.68-fold), 30 min (18.71-fold) and 45 min (9.95-fold) of the peroxide treatment. Induction of yccT during peroxide treatment was greater than that of oxyR, which is a regulatory hallmark of the peroxide stress response in S. enterica. Interestingly, another positive control, sodA, showed a massive change in expression in the presence of H₂O₂, resulting in three- and six-times higher expression compared to those of yccT and oxyR, respectively, during 30 and 45 min treatments (Figure 2). A reason of the massive expression of sodA most likely lies in the fact that this gene encodes an enzyme, SodA, which catalyzes an oxidative agent, whereas oxyR encodes a protein that regulates expression of other oxidative stress response genes. In other words, sodA must be expressed at much higher levels compared to that of oxyR, as these two proteins have quite different modes of action combating an oxidative assault. Based on the expression level, the yccT gene is positioned between these two oxidative stress response genes, oxyR and sodA. This may indicate that yccT has a different mode of action during oxidative stress response of S. enterica compared to those of oxyR and sodA. Both yccT and oxyR exhibited the same pattern of gene expression, a significant increase at 15 min, followed by highest expression at 30 min and a return to basal levels after 60 min (Figure 2). Two other genes, napD and gutM, did not show significant induction during peroxide treatment.

To evaluate the sensitivity of yccT to peroxide stress, we treated S. enterica Enteritidis with three different concentrations (0.75 mM, 1 mM and 3 mM) of H₂O₂ over the same period of time. Data show yccT significantly upregulated (p < 0.005) at concentrations of 0.75- and 1-mM after 15 min treatment followed by a sharp decrease in the gene expression (Figure 3). The efficiency of RT-qPCR primers are presented in Table S1 and the expression data for the reference gene rtcR are provided in Table S2.

Most notably, the expression of yccT exhibited a profound upregulation with the H₂O₂ treatment. Significant upregulation (p < 0.0001) of yccT was observed at 15 min (11.68-fold), 30 min (18.71-fold) and 45 min (9.95-fold) of the peroxide treatment. Induction of yccT during peroxide treatment was greater than that of oxyR, which is a regulatory hallmark of the peroxide stress response in S. enterica. Both yccT and oxyR exhibited the same pattern of gene expression, a significant increase at 15 min, followed by highest expression at 30 min and a returned to basal levels after 60 min (Figure 2). Two other genes, napD and gutM, did not show significant induction during peroxide treatment.

3.3. The ∆yccT Mutant Exhibits Increased Sensitivity to Hydrogen Peroxide

After demonstrating yccT induction by peroxide, we investigated whether yccT plays a role in hydrogen peroxide tolerance of S. enterica Enteritidis. Two additional genes, gutM and napD, that encode interactome proteins of STY1099 were also included in oxidative killing assays. As a reference strain with known susceptibility to oxidative stress, the ahpCF mutant strain of S. enterica Enteritidis was included in this assay too. Sensitivity of the ∆yccT, ∆gutM, ∆napD and ∆ahpCF mutants to oxidative stress was determined by exposing exponentially grown cultures of these mutants and their wild type strain to 0.75 mM of H₂O₂ over 60 min. Concentrations of H₂O₂ higher than 0.75 mM affected the wild type strain too, so for the oxidative killing assay concentration of 0.75 mM was selected. Homogeneity of linear regression slope analysis revealed a statistically significant difference (p < 0.05) in the viability between the wild type and yccT mutant, suggesting that the yccT gene plays a role in oxidative tolerance of S. enterica Enteritidis (Figure 4A).

Two other mutants, ∆gutM and ∆napD, showed reduced viability, albeit less pronounced compared to the ∆yccT mutant. The ∆ahpCF mutant showed the highest level of susceptibility to H₂O₂ during the first 40 min of assay. After this period, the ∆ahpCF mutant showed an increased survivability, which resulted in a higher survival rate compared to that of the ∆yccT mutant (Figure 4A). During hydrogen peroxide treatment, the ∆yccT mutant complemented with the pTre99A-yccT vector had increased viability during the peroxide treatment compared to the ∆yccT mutant (Figure 4B).

3.4. Subcellular Localization of STY1099

As STY1099 protein contains a conserved domain of unknown function 2057 (DUF2057), which occurs only in prokaryotes, we aimed to determine subcellular location of this prokaryotic protein. STY1099 was fused with green fluorescent protein (GFP) and expressed in S. enterica Enteritidis cells by a lac IPTG (isopropyl ß-D-1-thiogalactopyranoside) inducible promoter. Inverted TiE microscopy coupled with confocal scanning option showed strong and consistent fluorescence signal in transformed S. enterica Enteritidis cells, clearly indicating monopolar location of STY1099 protein (Figure 5).

These data suggest that STY1099 protein has a specific function in bacterial cells that may correspond to cell motility (flagella), cell division or other cellular function that requires monopolar location of the studied protein.

3.5. Global Transcriptomics of the S. enterica Enteritidis ∆yccT Mutant Strain Reveal the STY1099 Regulon

To determine the effect of yccT deletion on the oxidative stimulon of S. enterica Enteritidis, and specifically to identify proteins affected by the STY1099 protein, we carried out global transcriptome (RNAseq) analyses using the wild type and the ∆yccT mutant strains in combination with the oxidative stress assay. Alterations in gene expression were studied by comparing the transcriptomes with a minimum 2× absolute fold change and false discovery rate (FDR) corrected p < 0.05 used as cutoffs for significance.

In total, 2051 genes were significantly differently expressed (DE) by H₂O₂ in the wild type strain, and 1712 DE genes were observed in the ∆yccT mutant (Table S3). Of the 1712 DE genes, 1453 were shared between the comparisons, while 259 were unique to the yccT mutant and 598 unique to the wild type treatment group. There were 22 genes exhibiting statistically significant changes in expression between the wild type and yccT mutant during the H₂O₂ treatment (

Table 2. Altered genes during peroxide treatment of the ∆yccT mutant of S. Enteritidis.

Biological Processes and Genes	Locus Tag	Protein Description	Fold Change	FDR p-Value 1
Citrate metabolism
citE	SEN0591	Citryl-CoA lyase	2.67	0.0018
citF	SEN0590	Citrate CoA-transferase	4.18	0.0307
citT	SEN0587	Citrate carrier	2.55	0.0413
Oxidoreductase activity/electron transport
hycD	SEN2692	Respiratory-chain NADH dehydrogenase	2.35	0.0274
hycF	SEN2690	Formate hydrogenlyase complex iron-sulfur	2.64	0.0274
dmsA3	SEN1552	Dimethyl sulfoxide reductase	3.87	0.0274
SEN1249	SEN1249	Hydrogenases b-type cytochrome	2.12	0.0448
SEN3184	SEN3184	Na+-transporting methylmalonyl-CoA/oxaloacetate decarboxylase	2.06	0.0317
rRNA processing/stress response
SEN0992	SEN0992	Oligogalacturonate-specific porin	4.66	0.0274
rrmJ	SEN3130	23S rRNA methyltransferase J	2.12	0.0378
Gluconate transmembrane transport
kdgT	SEN0166	2-keto-3-deoxygluconate permease	5.33	0.0045
Nitrate metabolism
narJ	SEN1277	Nitrate reductase	−16.96	0.0162
narH	SEN1276	4Fe–4S ferredoxin, respiratory nitrate reductase	−15.31	0.0178
narI	SEN1278	Nitrate reductase, gamma subunit	−11.24	0.0178
narG	SEN1275	Respiratory nitrate reductase, subunit alpha	−10.98	0.0162
narK	SEN1274	Nitrite extrusion protein	−7.48	0.0162
nirC	SEN3303	Nitrite transporter	−3.58	0.0274
Unknown
SEN0167	SEN0167	Hypothetical protein	4.75	0.0274
SEN0271	SEN0271	Hypothetical protein	2.33	0.0306
yycT2	SEN0942	STY1099	−1525.68	9.0780 × 10−56
SEN1163	SEN1163	Phage membrane protein	−8.98	0.0008
SEN0541	SEN0541	Protein of unknown function DUF1471	−2.31	0.0274

¹ False discovery rate (FDR) p < 0.05; ² Deleted yccT gene that encodes STY1099 protein.

). Out of the 22 genes, 13 genes (narGHIJK, hycDF, dmsA3, rrmJ, SEN0541, SEN1163, SEN1249 and SEN3184) were unique to the oxidative response, and nine genes (citEFT, kdgT, nirC, yccT, SEN0167, SEN0271 and SEN0992) of the oxidative stimulon were shared with the core group of the yccT affected genes (Tables S3 and S4). When exposed to oxidative stress, the ∆yccT mutant showed significant upregulation (p < 0.05) of the citrate metabolism (citEFT), oxidoreductase activity/electron transport (hycDF, dmsA3, SEN1249/3184), rRNA processing/stress response (SEN0992, rrmJ) and gluconate transmembrane transport (kdgT) (Table 2). The ∆yccT mutant significantly downregulated (p < 0.05) nitrate metabolism (narJHIGK and nirC) (Table 2). Also, affected by oxidative stress in the ∆yccT mutant was a group of genes that encodes proteins of unknown function (SEN0167, SEN0271, SEN1163 and SEN0541).

To investigate how the yccT gene deletion specifically affected the physiology of growing cells, we compared the transcriptomes of exponentially growing culture of the yccT mutant to that of the wild type strain. Global transcriptomic analyses identified 352 (343 unique genes) differentially expressed genes in the no treatment controls; 137 genes significantly upregulated and 215 genes downregulated (Table S5).

The most pronounced changes in biological processes occurred via downregulation of genes involved in macromolecular biosynthetic processes, translation, cell motility and inorganic cation transmembrane transport (Figure 6). Among this large group of 215 genes, the most profound gene expression alterations were exhibited by a group of genes associated with electron transport via the process of nitrate reduction, including napA (−22.95; FDR p = 0.0), napB (−34.04; FDR p = 7.92 × 10⁻²²), napC (−31.42; FDR p = 1.88 × 10⁻¹⁹), napD (−16.35; FDR p = 8.76 × 10⁻¹⁷), napF (−17.48; FDR p = 1.87 × 10⁻¹⁸), napG (−29.60; FDR p = 5.58 × 10⁻²⁵) and napH (−27.25; FDR p = 6.36 × 10⁻²¹).

Upregulated biological processes of the ∆yccT mutant included organo-nitrogen compound metabolic processes, organic hydroxyl and primary amino compound catabolic processes, cellular amine metabolic and branched-chain amino acid biosynthetic processes (Figure 6). This group of upregulated genes had less pronounced expression changes, compared to the downregulated genes. Largest upregulation was observed in genes involved in propanediol metabolism, including pduA (17.25; FDR p = 8.72 × 10⁻³⁶), pudB (12.69; FDR p = 7.20 × 10⁻³¹), pudD (10.70; FDR p = 1.48 × 10⁻³²), and pudC (9.77; FDR p = 3.43 × 10⁻²⁷).

To validate the RNA-seq data, the expression of seven randomly chosen genes was validated by quantitative real-time PCR (qRT-PCR). The qRT-PCR analysis confirmed the same pattern of expression, including five upregulated genes (e.g., ego, pduA, ydeZ, ydeV and yneC) and two downregulated genes (e.g., rplP and rplV) (Figure 7).

3.6. Determination of STY1099 Interactome

To identify proteins that are associated with the STY1099 protein, we carried out a Co-IP assay. Using STY1099-flag protein as a bait and proteome of S. enterica Enteritidis as a pray, we identified 36 proteins that were associated with the STY1099 protein (

Table 3. Proteins of S. enterica Enteritidis that form an interactom with the STY1099 protein.

Biological Processes and Protein Names	Accession Number	Identification Probability (%)	Molecular Weight	Identified Unique Peptide Sequences
Cell Division and Shape
Septum site-determining protein MinD	YP_005216705.1	100	29,509.3	ASNQGEPVILDATADAGK; AYADTVDR; IIVVTSGK; IKLVGVIPEDQSVLR; LVGVIPEDQSVLR; TENLFILPASQTR; TTSSAAIATGLAQK
Cell division protein FtsH	ZP_12129674.1	100	70,784.5	QKLESQISTLYGGR; QVVVGLPDVR
Rod shape-determining protein MreB	ZP_11739057.1	100	36,934.4	DGVIADFFVTEK; GMVLTGGGALLR; IKHEIGSA YPGDEVR; IKHEIGSAYPGD EVREIEVR; NLAEG VPR; NYGSLIGEATAER; RNYGSLIGEATAER; VL VCVPVGATQVER
Oxidoreductase Activity/Electron Transport
Biotin carboxylase of acetyl-CoA carboxylase	ZP_12119137.1	97.0		VVEEAPAPGITPELRR; YLENPR
Multifunctional fatty acid oxidation complex subunit alpha	ZP_15867656.1	100	79,596.2	DFSDDEIIAR; KEEDAAVDDLLASVSQTKR; QAI TGDLDWR
Glutamate dehydrogenase	ZP_15809056.1	100	45,978.8	CAALNLPYGGAK; LFAGAGAR; RANIAVEGAR; TAAYIVACER; VAVQGFGNVGSEAAR
Precorrin-4 C11-methyltransferase	ZP_11737843.1	100	28,358.5	EQGEELTR; GTLADISDKVR; LQTGDVSLYGSVR
Short chain dehydrogenase	ZP_13073001.1	100	27,852.2	ADVRDFASVQAAVAR; AKETEGRIDILVNNAG VCR; SLAVEYAQSGIR; TALITGASQGIGEGIAR; TPMAESIAR; VNAICPGYVR
Aminoacyl-histidine dipeptidase	YP_005235990.1	100	52,419.9	EAVPAGFACFK; FLAGHAEELDLR; LLNATPNGVIR
Cytochrome d terminal oxidase subunit 1	ZP_15859114.1	99.9	58,265.5	AYELLEQLR; DLGYGLLLKR
Anaerobic glycerol-3-phosphate dehydrogenase subunit A	YP_005397674.1	100	57,893.3	ACEAAGIR; AEAIDPQQAR; EGATVCGVHVR; H DIATGATGR; HGDRTPGWLSEGR; IAEYADLSI R; IISLPAPLR; INQHVINR
Bifunctional acetaldehyde-CoA/alcohol dehydrogenase	ZP_15844816.1	96.9	96,199.8	AVTNVAELNALVER; AAALAAADAR
Transcription and Translation
30S ribosomal protein S3	ZP_15868039.1	100	25,965.5	EFADNLDSDFKVR; EGRVPLHTLR; GIKVEVSGR; IVIERPAK; KPELDAK; KVEVSGR; KVVADIAGPAQINIAEVR; LGGAEIAR; LVADSITSQLER; VPLH TLR
DNA-binding transcriptional regulator PhoP	ZP_15835390.1	99.7	25,483.5	IQAQYPHDVITTVR; VLVVEDNALLR
30S ribosomal protein S9	YP_002638940.1	100	14,790.5	AENQYYGTGR; GGGISGQAGAIR; SLEQYFGR
30S ribosomal protein S11	NP_462321.1	100	13,812.8	ALNAAGFR; CADAVKEYGIK; STPFAAQVAAER
LSU ribosomal protein L6p	ZP_12153653.1	100	18,841.3	APVVVPAGVDVK; DGYADGWAQAGTAR; GA DKQVIGQVAADLR; KLQLVGVGYR; YADEVVR
30S ribosomal protein S4	ZP_09771019.1	99.6	23,467.7	AALELAEQR; LSDYGVQLR; VKAALELAEQR
Threonyl-tRNA synthetase	YP_002226745.1	100	73,887.2	ALNAYLQR; IYGTAWADKK; LSASYVGEDNER; PVITLPDGSQR
50S ribosomal protein L5	YP_005183280.1	100	20,300.6	GLDITITTTAK; ITLNMGVGEAIADKK; LITIAVPR; QGYPIGCK
cAMP-regulatory protein	ZP_09770968.1	100	23,595.9	QEIGQIVGCSR; VGNLAFLDVTGR
50S ribosomal protein L21	NP_457683.1	95.7	11,560	MYAVFQSGGK; VSEGQTVR
Stress Response
ATP-dependent protease ATP-binding subunit ClpX	ZP_15869131.1	100	46,159.1	KHPQQEFLQVDTSK; LLYCSFCGK; SNILLIGPT GSGK
Two-component response regulator OmpR	YP_005215137.1	99.8	27,317.4	SIDVQISR; SVANAEQMDR
DNA-binding ATP-dependent protease La	YP_002225562.1	100	87,395.7	DIHVHVPEGATPK; LGINPDFYEKR
DnaK protein (heat shock protein 70)	YP_005211303.1	99.9	69,241.2	FQDEEVQR; RFQDEEVQR
Carbohydrate Metabolism
Phosphoenolpyruvate synthase	ZP_15868324.1	100	87,132.5	AAAIVTNR; AVIEELAR; IEDVPQQQR
Dihydrolipoamide succinyltransferase	ZP_15861596.1	100	43,825.8	APAVEPAAQPALGAR; LLAEHNLEASAIKGTGV GGR; QYGEVFEKR
Phosphoenolpyruvate carboxylase	YP_005214624.1	100	99,020.2	GEAASNPEVIAR; GGAPAHAALLSQPPGSLK; H VLLLSR
Carbohydrate Metabolism Continued
S-adenosylmethionine synthetase	ZP_09770040.1	100	42,437.9	HGGGAFSGKDPSKVDR; KIIVDTYGGMAR; QSPDINQGVDR; TDKAQLLR
Amino Acid Metabolism
Carbamate kinase	ZP_11788746.1	100	33,332.7	DHLVICNGGGGVPVVEK; KNIELAAR; NHLPER; RGEPLEADIQRK; RIVENDAIR; TLVVALGGNALLK; VTACAEFVSHCR; YIGPIYDEAQAR
Glutamate-1-semialdehyde aminotransferase	YP_002242369.1	100	45,417.4	ELIPGGVNSPVR; HTLTCTYNDLTSVR; NAVIEA AER; SKSENLYSAAR
Arginine deiminase	ZP_15827530.1	99.4	45,571.6	AGEEHDIFANTLR; LGPTFAADIR
Lipid Metabolism
3-oxoacyl-(acyl carrier protein) synthase II	ZP_11731244.1	98.6	41,678.9	ASTPLGVGGFGAAR; SVFGDAASR
Cellular Transport
Maltose/maltodextrin transporter ATP-binding protein	ZP_14274887.1	100	40,780.7	FVAGFIGSPK; MNDIPPAER; MNFLPVK; QQI WLPVESR; RLHQEPGV; TLVAEPR; VAQVGKPL ELYHYPADR; VTATAIEQVQVELPNR
Oligopeptide ABC transporter ATP-binding protein OppF	ZP_15831204.1	100	37,252.3	HAVSCLKVDPL; LYEGETLGVVGESGCGK; VGLLPNLINR

). Validation of the Co-IP assay were performed by Western blot, and SDS-PAGE analyses (Figure 8, Figure S2).

This group of STY1099-associated proteins consisted of a group of cell division and shape proteins, including septum site-determining protein MinD, cell division protein FtsH and rod shape-determining protein MreB, indicating that the STY1099 protein may play a role in cell division and determination of cell shape. Besides association with this functionally very specific group of proteins, the STY1099 protein showed interaction with a group of proteins involved in oxidoreductase activity. Proteins involved in oxidoreductase activities perform various biological processes, including lipid metabolism (e.g., multifunctional fatty acid oxidation complex, FadB), amino acid metabolism (e.g., aminoacyl-histidine dipeptidase, PepD), carbohydrate metabolism (e.g., bifunctional acetaldehyde-CoA/alcohol dehydrogenase, AdhE), and electron transport (e.g., cytochrome d terminal oxidase subunit 1) (Table 3). The STY1099 protein interacted with a group of ribosomal and DNA binding proteins involved in transcription and translation as well as several stress response proteins associated with heat stress (e.g., DnaK protein), DNA damage (e.g., DNA-binding ATP-dependent proteases La), osmotic stress (e.g., two-component response regulator OmpR) and extracytoplasmic stress (e.g., ATP-dependent protease ATP-binding subunit ClpX) (Table 3). The STY1099 protein interacted also with two proteins, maltose/maltodextrin transporter ATP-binding protein and oligopeptide ABC transporter ATP-binding protein OppF, involved in cellular uptake (Table 3).

4. Discussion

Our previous study identified a protein of unknown function STY1099 (i.e., encoded by yccT gene) as the most abundant among a small group of proteins associated with the ZnO NPs stimulon [24]. It is important to emphasize that ZnO NPs affect cells via two distinct pathways: Zn toxicity and oxidative stress [25,26]. The Zn toxicity-mediated pathway is primarily based on inhibition of the major enzymes involved in the tricarboxylic acid cycle [25], glycolysis [27] and the capsule biosynthesis [28]. It has been postulated that lethality of ZnO NPs is also associated with the production of increased levels of reactive oxygen species, mainly hydroxyl (OH) radicals [26], which further interfere with phospholipids, lipopolysaccharides and lipoproteins, leading to extensive cell wall disorganization of Gram-negative bacteria [29]. To distinguish this dual effect of ZnO NPs and, more importantly, to pinpoint a stimulus-causing upregulation of STY1099 in S. enterica Enteritidis exposed to ZnO NPs, we measured expression of the yccT gene during oxidative treatment. Our data show that yccT is significantly overexpressed upon exposure to H₂O₂, but not upon exposure to paraquat, indicating a specific role of yccT in peroxide homeostasis of this zoonotic pathogen.

We demonstrated that under peroxide stress an S. enterica Enteritidis strain lacking yccT showed a significant decrease in viability, compared to that of the wild type, indicating that the STY1099 protein likely plays a role in protecting S. enterica Enteritidis from the peroxide stress assault. A possible polar effect caused by the yccT deletion was ruled out by complementation. Increased viability of the ∆yccT mutant complemented with the pTre99A-yccT vector clearly showed that intolerance to peroxide stress of the ∆yccT mutant is due to the yccT deletion.

Transcriptomic analysis of the ∆yccT mutant and wild type provided insight into the transcriptome of this mutant in non-stressful conditions. Most notably, a majority (61%) of the altered genes became significantly downregulated including genes associated with macromolecular biosynthetic processes and translation being most common in the ∆yccT mutant. Specifically, most significant was downregulation of the napABCDGHF operon, which encodes periplasmic nitrate reductase (Nap) proteins that catalyze the transformation of nitrate to nitrite. In prokaryotic organisms, reduction of nitrate to nitrite occurs via three distinct systems, namely periplasmic nitrate reductase (Nap), respiratory nitrate reductase (Nar) and assimilatory nitrate reductase (Nas) [30]. Unlike other nitrate reductase systems, Nap is functionally diverse. It is demonstrated to be involved in dissimilatory nitrate reduction (both denitrification and nitrate reduction to ammonia) [31], maintenance of cellular oxidation–reduction potential (i.e., redox poise) [30] and nitrate scavenging and pathogenicity [32]. Besides nitrate reduction, the ∆yccT mutant exhibited a significant downregulation of the rpsQCS operon (i.e., from eight- to five-fold), which encodes one of the primary rRNA binding proteins, RpsQ (30S ribosomal protein S17). The RpsQ protein plays a critical role in translational accuracy [33], while RpsC (30S ribosomal protein S3) is involved in mRNA unwinding [34] and RpsS (30S ribosomal protein S19) in ribosomal small subunit assembly [35]. Downregulation of the Nap system and the rpsQCS operon in the ∆yccT mutant indicates that STY1099 impacts primary nitrate metabolism, cellular oxidation–reduction potential and rRNA biology during exponential growth of S. enterica Enteritidis.

Among a group of upregulated genes, the pduABCDE operon exhibited the greatest alteration, ranging from 17-fold for the pduA gene (propanediol utilization protein A) to 6.4-fold for the pduE gene (propanediol dehydratase small subunit). Proteins encoded by the pduABCDE operon catalyze the dehydration of 1,2-propanediol to propionaldehyde, which further serves as the carbon and energy source for bacterial growth [36]. The yccT mutant also showed significant upregulation of the yneABC operon (~ four-fold), which encodes proteins involved in substrate binding, trans-membrane transport, and interconverting aldoses and ketoses [37].

Indeed, our Co-IP assay showed that the STY1099 protein interacts with a group of proteins involved in oxidoreductase activity, electron transport, rRNA biology and cellular uptake, clearly indicating that the STY1099 protein is involved in these cellular processes. Besides these proteins involved in the central metabolic processes, the STY1099 protein interacted with proteins of key importance for cell division (e.g., septum-site determining protein MinD and cell division protein FtsH) and a protein involved in determination of cell shape (e.g., rod shape determining protein MreB). Monopolar location of the STY1099 protein additionally suggests that the STY1099 protein may play a role in cell division and cell shape determination too.

The molecular response of the ∆yccT mutant to peroxide stress included downregulation of nitrate reductase (narJHIGK, and nirC) and upregulation of oxidoreductase activity (hycDF, dmsA3, SEN1249 and SEN3184) and citrate metabolism (citEFT). Interestingly, during exponential growth with no peroxide treatment, the ∆yccT mutant exhibited a profound downregulation of nitrate reductase mediated by Nap, while during peroxide treatment nitrate reductase was altered via the respiratory nitrate reductase (Nar) system. Although both Nap and Nar systems belong to dissimilatory nitrate reductases, the Nar system is strictly involved in redox regulation and energy acquisition, whereas the Nap system is functionally diverse [30]. Both nitrate reductases, Nap and Nar, are membrane associated, whereas Nas is made of soluble proteins located in the cytoplasm [38]. We showed that the STY1099 protein only affects membrane associated nitrate reductase, which is further supported by the fact that this novel protein is associated with cellular membrane (i.e., monopolar localization), but not with cytoplasm. In addition, it has been shown with the high likelihood (0.9324) that the STY1099 protein contains a Sec/SPI signal peptide. This secretory signal peptide, transported by the Sec translocon and cleaved by signal peptidase I, is an integral part of periplasmic proteins, which suggests that the novel STY1099 protein belongs to a group of periplasmic proteins. Downregulation of the Nar system in the ∆yccT mutant during peroxide treatment indicates that STY1099 plays a role in redox homeostasis. Indeed, upregulation of the genes associated with oxidoreductase activity and citrate metabolism provides a second line of evidence that STY1099 is involved in maintenance of cellular redox balance. In addition to this, interactome of STY1099, defined by the Co-IP assay, showed that the STY1099 protein is associated with a group of proteins involved in oxidoreductase activities. These oxidoreductase proteins are involved in various biological processes (e.g., lipid, amino acid and carbohydrate metabolisms as well as electron transport), clearly indicating that their association with the STY1099 protein is based on their role in oxidoreductase activities rather than involvement in some other biological processes.

Fu and colleagues [38], examining response of S. enterica Typhimurium to H₂O₂ treatment, found that this Salmonella serovar significantly induced several proteins associated with DNA repair machinery, including RecA, RecE and GyrI. The current study showed that the STY1099 protein interacted with DNA-binding ATP-dependent protease La, showing that this novel protein is indirectly associated with DNA repair machinery, an important response of Salmonella enterica to peroxide stress [38]. Besides DNA-binding proteases La, the STY1099 protein interacted with key protease, ClpX, chaperone, DnaK, and the two-component response regulator, OmpR, which controls a variety of membrane-associated transporters that mediate uptake or efflux of small molecules [39], showing its importance in the stress response physiology.

5. Conclusions

We demonstrated that yccT is a highly peroxide-inducible gene, and the ∆yccT mutant exhibits peroxide intolerance compared to its wild type strain. Interestingly, the ∆yccT mutant showed a tolerance to parquet, indicating that this novel protein is specifically involved in the peroxide stress response of S. enterica serovar Enteritidis. Comparative transcriptome analyses supported by Co-IP assay showed that the STY1099 protein is involved in oxidoreductase processes, respiratory nitrate reductase, rRNA biology and stress response. In addition, we showed that the STY1099 protein has monopolar location and that interacts with key cell division proteins MinD and FtsH as well as with a rod shape-determining protein MreB.