ABSTRACT
Edwardsiella tarda is a severe fish pathogen, featured by its capacity to live inside host phagocytes. For intracellular survival, it is crucial for E. tarda to neutralize the deleterious effect of host reactive oxygen species (ROS). Accumulating evidence suggests that bacterial metabolism is closely connected to oxidative resistance. However, the roles of E. tarda metabolic proteins in antioxidative adaptation and intracellular proliferation remain elusive. In this study, we performed a proteomic analysis on E. tarda and identified 111 proteins responsive to H2O2-mediated oxidative stress. Based on this data, we further obtained eight crucial proteins, including seven metabolic proteins, for E. tarda antioxidation and intracellular infection. Among them, two C4-dicarboxylate transporters were found necessary for E. tarda to disseminate in fish tissues. Furthermore, the substrate of the two transporters was identified as L-aspartate, which was proven to be essential for the full antioxidative capacity of E. tarda. Our results indicate that reprogramming the metabolic flux to the production of pyruvate, a ketoacid capable of neutralizing ROS, was likely a pivotal strategy of E. tarda to survive the oxidative environments inside host cells. Together, the findings of this study highlight the significance of metabolic reprogramming for bacterial redox homeostasis and intracellular infection.
Importance
Edwardsiella tarda is a significant fish pathogen that can live in challenging environments of reactive oxygen species (ROS), such as inside the phagocytes. Metabolic reconfiguration has been increasingly associated with bacterial oxidative tolerance and virulence. However, the metabolic proteins of E. tarda involved in such processes remain elusive. By proteomic analysis and functional characterization of protein null mutants, the present study identified eight crucial proteins for bacterial oxidative resistance and intracellular infection. Seven of them are metabolic proteins dictating the metabolic flux toward the generation of pyruvate, a key metabolite capable of scavenging ROS molecules. Furthermore, L-aspartate uptake, which can fuel the pyruvate generation, was found essential for the full antioxidative capacity of E. tarda. These findings identified seven metabolic proteins involved in bacterial oxidative adaptation and indicate that metabolic reprogramming toward pyruvate was likely a pivotal strategy of bacteria for antioxidative adaptation and intracellular survival.
KEYWORDS: Edwardsiella tarda, oxidative stress, virulence, metabolic reprogramming, proteomics
INTRODUCTION
Edwardsiella tarda is a Gram-negative facultatively anaerobic bacterium, belonging to the Enterobacteriaceae family (1, 2). It naturally inhabits freshwater, estuary, and marine environments and can infect various animal hosts, ranging from fish, reptiles, birds to mammals (3, 4). E. tarda causes a severe fish disease termed edwardsiellosis and leads to significant economic losses in aquaculture worldwide (3). E. tarda is intractable to conventional antibiotic treatment, largely due to its capacity for intracellular survival and proliferation within host cells including phagocytes (4, 5).
Professional phagocytes, such as macrophages, neutrophils, and dendritic cells, are featured by their capacities for microbial phagocytosis, an exquisitely regulated process enabling the engulfment and destruction of the invading pathogens within a plasma membrane-derived vacuole termed phagosome (6, 7). Phagocytes possess a vast and sophisticated arsenal of antimicrobial weapons, including a cascade-activated protein machinery allowing phagosome maturation and acidification, antimicrobial proteins and peptides such as cathepsins and cation antimicrobial peptides, and reactive nitrogen and oxygen species (7).
Reactive oxygen species (ROS) production, termed respiratory burst, is a common programmed response of phagocytes upon bacterial infection (8). NADPH oxidase is the major driving force of ROS generation in phagosome (9). It is a protein complex composed of the integral membrane subunits, i.e., gp91phox and p22phox, forming flavocytochrome b558, and the cytosolic subunits, i.e., p40phox, p47phox, and p67phox (10). Upon immune stimulation, the cytosolic subunits bind to flavocytochrome b558 and assemble together with small GTPases Rac1 and Rac2 to transfer electrons from NADPH to molecular oxygen and generate O2 ·− (7). Within the phagosomal lumen, O2 ·− is dismutated to form the highly reactive hydrogen peroxide (H2O2), which can be converted into hydroxyl radicals by the Fe2+-dependent Fenton reaction with superoxide dismutase (SOD) or participate in the generation of hypochlorous acid and chloramines (7, 11). These highly toxic ROS molecules enable the effective killing of intraphagosomal microorganisms through various mechanisms, such as disrupting metabolism by damaging iron-sulfur enzymes, creating DNA damage and accumulated mutagenesis, and inactivating proteins through carbonylation (12 – 14).
Intracellular pathogenic bacteria have evolved an array of strategies to counteract host ROS (7). A common mechanism shared by diverse bacteria for ROS evasion is by the production of SOD, which catalyzes the conversion of the O2 ·− to H2O2. The latter can be further detoxified by conversion to O2 and H2O with bacterial catalases (10). In E. tarda, deletion of the coding gene for an iron-cofactored superoxide dismutase resulted in significantly decreased bacterial resistance to macrophage-mediated killing, in parallel with the significantly enhanced respiratory burst of fish macrophages (15). The genome of E. tarda harbors at least two catalase-encoding genes, i.e., katB and katG (16). KatB is essential for bacterial resistance against killing by host phagocytes, while KatG confers resistance against exogenous H2O2 (17, 18). In addition, DNA binding protein from starved cells (Dps), thioredoxin H (TrxH), ferric uptake regulator (Fur), hemolysin activator (Eha), and type III secretion system effector, EseJ, are known factors implicated in ROS evasion strategy of E. tarda (19 – 23). Apart from the specialized antioxidant enzymes and their mediators for ROS elimination, mounting evidence has pointed out that bacterial metabolism is intricately linked to antioxidative defense (24 – 26). For instance, ketoacids, such as α-ketoglutarate, pyruvate, and glyoxylate, are able to consume oxidizing agents via non-enzymatic decarboxylation and generate organic acids; therefore, the enzymes and transporters that dictate the metabolic currency toward the synthesis of these metabolites are vital for the bacteria to maintain the cellular redox homeostasis (25). However, in E. tarda, the engagement of metabolites, metabolic enzymes and transporters, and metabolic network in bacterial adaptation to oxidative stress and survival in phagocytes remains to be delineated.
In this work, we performed a comparative proteomic analysis to systematically screen for the proteins involved in the antioxidative defense of E. tarda and identified eight proteins including seven metabolic proteins as crucial participants in the antioxidative adaptation and intracellular proliferation. Our results suggest that metabolic reprogramming for the production of antioxidant metabolites is likely a pivotal survival strategy for E. tarda to survive and thrive in oxidative environments.
RESULTS
Identification of differentially abundant proteins induced by oxidative stress
In order to identify the proteins that are involved in the oxidative defense of E. tarda, comparative proteomics analysis was performed with 10 mM of H2O2 as the redox stressor, which had a potent impact on bacterial growth (Fig. S1). A total of 1,588 proteins were identified in the H2O2 treatment group (1,555 proteins) and the control group (1,538 proteins), of which 1,505 were shared in common (Fig. 1A).
Fig 1.
Analysis of the proteins identified and quantified by proteomics analysis. (A) Intersection analysis of the proteins of the H2O2 group and the control group. (B) Summary of the differentially abundant proteins in the comparison of H2O2 group vs control group.
Using a screening criteria of fold change ≥2 and P-value < 0.05, 111 differentially abundant proteins (DAPs) were identified in the comparison of H2O 2 group vs control group, 67 of which were upregulated and 44 were downregulated (Fig. 1B; Table S3 and S4). Fifty of the upregulated proteins were detected only in the H2O2 group (Fig. 1B; Table S4), while 33 of the downregulated proteins were found only in the control group (Fig. 1B; Table S4).
GO and KEGG analyses of the DAPs
Gene ontology (GO) analysis showed that the DAPs of H2O2 vs control were classified into three categories: biological process (BP), molecular function (MF), and cellular component (CC) (Fig. 2A). The significantly enriched BP terms were glucuronate metabolic process, uronic acid metabolic process, glucuronate catabolic process, C4-dicarboxylate transport, monosaccharide catabolic process, dicarboxylic acid transport, cell communication, secretion by cell, secretion, protein secretion, and peptide secretion (Fig. 2B; Table S5). The significantly enriched MF terms were macromolecule transmembrane transporter activity, C4-dicarboxylate transmembrane transporter activity, wide pore channel activity, dicarboxylic acid transmembrane transporter activity, porin activity, and oxidoreductase activity, acting on other nitrogenous compounds as donors (Fig. 2B; Table S5). The significantly enriched CC terms were pore complex, integral component of membrane, and intrinsic component of membrane (Fig. 2B; Table S5).
Fig 2.
GO classification and enrichment analysis of DAPs in the H2O2 group vs the control group. (A) Functional classification of DAPs by GO analysis. (B) GO enrichment (top 20) of the DAPs in the H2O2 group vs control group. The P-value was set as <0.05.
Kyoto Encyclopedia of Gene and Genome (KEGG) analysis was conducted to reveal the signaling pathways contributing to the oxidative defense of E. tarda (Fig. S2). The DAPs were categorized into the top 10 KEGG pathways of pentose and glucuronate interconversions, arginine biosynthesis, pantothenate and CoA biosynthesis, tryptophan metabolism, valine, leucine and isoleucine biosynthesis, biosynthesis of vancomycin group antibiotics, one carbon pool by folate, polyketide sugar unit biosynthesis, acarbose and validamycin biosynthesis, and two-component system (Table S6).
Identification of DAPs transcriptionally responsive to oxidative stress
To identify the DAPs that are transcriptionally responsive to oxidative stress, the top 10 upregulated DAPs (ranked based on the proteomic fold change) and the top 25 DAPs that were detected only in the H2O2 group (ranked based on the proteomic abundance) were analyzed for their relative mRNA levels in the H2O2 group vs the control group (Table S3 and S4). The results showed that the expressions of ETAE_0310 (anaerobic C4-dicarboxylate transporter [CDT], DcuA), ETAE_0790 (C4-dicarboxylate transporter, DcuC1), ETAE_1753 (dihydromonapterin reductase), ETAE_1821 (starvation-inducible DNA-binding protein Dps), ETAE_2289 (mannonate dehydratase), ETAE_2291 (fructuronate reductase), ETAE_2977 (putative dicarboxylate-binding periplasmic protein), and ETAE_3323 (glycerate 2 kinase) were significantly upregulated in the H2O2 group, compared to the control group (Table 1). These eight genes were the potential key proteins involved in the oxidative defense (KPODs) of E. tarda and, therefore, subjected to further investigation.
TABLE 1.
List of the DAPs transcriptionally responsive to oxidative stress
| Protein ID | Gene ID | Annotation | Proteomic fold change (H2O2 vs control) | Transcriptional fold change (H2O2 vs control) |
|---|---|---|---|---|
| ACY83157.1 | ETAE_0310 | Anaerobic C4-dicarboxylate transporter, DcuA | +∞ a | 2.583 ± 0.059 b |
| ACY83635.1 | ETAE_0790 | C4-dicarboxylate transporter, DcuC1 | +∞ a | 2.708 ± 0.015 b |
| ACY84590.1 | ETAE_1753 | Dihydromonapterin reductase/dihydrofolate reductase | +7.39 c | 2.791 ± 0.122 b |
| ACY84658.1 | ETAE_1821 | Starvation-inducible DNA-binding protein, Dps | +9.82 b | 3.035 ± 0.216 b |
| ACY85124.1 | ETAE_2289 | Mannonate dehydratase | +2.82 b | 2.901 ± 0.221 b |
| ACY85126.1 | ETAE_2291 | Fructuronate reductase | +13.51 c | 4.686 ± 0.144 b |
| ACY85810.1 | ETAE_2977 | Putative dicarboxylate-binding periplasmic protein | +2.30 b | 3.131 ± 0.178 b |
| ACY86154.1 | ETAE_3323 | Glycerate 2 kinase | +∞ a | 2.027 ± 0.074 b |
Proteomic DAPs detected only in the H2O2 group.
P < 0.01.
P < 0.05.
The roles of KPODs in the antioxidation and intracellular proliferation of E. tarda
In order to understand the role of KPOD proteins in the antioxidant capacity of E. tarda, the isogenic mutants of wild-type strain TX01, namely TX01Δ0310, TX01Δ0790, TX01Δ1753, TX01Δ1821, TX01Δ2289, TX01Δ2291, TX01Δ2977, and TX01Δ3323, were created by markerless gene deletion. The essentiality of KPOD proteins for the resistance of E. tarda to oxidative stress was assessed by H2O2 pulsing assay. The result showed that, under H2O2 stress, the survival rates of the mutants were all significantly reduced, in comparison with that of the wild-type TX01 (Fig. 3). The requirement of KPOD proteins for intracellular proliferation of E. tarda was evaluated by cellular-infection assay using macrophages, within which the bacteria must neutralize the deleterious effects of ROS to survive and thrive. The results indicated that, at 4 hpi and 6 hpi, the intracellular bacterial numbers of all the mutant strains were remarkedly less than the wild-type TX01 (Fig. 4). These results suggest that all the eight KPOD proteins exerted crucial roles in the antioxidative defense and intracellular proliferation of E. tarda.
Fig 3.
The effect of gene deletion of each KPOD protein on the survival of E. tarda under H2O2 stress. TX01, TX01Δ0310, TX01Δ0790, TX01Δ1753, TX01Δ1821, TX01Δ2289, TX01Δ2291, TX01Δ2977, and TX01Δ3323 were incubated with 1 mM H2O2 for 2 h, then the bacterial cells were plated on LB plates and incubated at 28°C for 24 h. The number of CFU was counted (A) and bacterial survival rate (B) was determined. Data are the means of triplicates and are shown as means ± SD, n = 3. **P < 0.01.
Fig 4.
The effect of gene deletion of each KPOD protein on the capacity of E. tarda for intracellular proliferation. RAW264.7 cells were infected with TX01, TX01Δ0310 (A), TX01Δ0790 (B), TX01Δ1753 (C), TX01Δ1821 (D), TX01Δ2289 (E), TX01Δ2291 (F), TX01Δ2977 (G), and TX01Δ3323 (H) for 1.5 h, and the extracellular bacteria were killed by antibiotic treatment. The cells were incubated for indicated time periods. Then the number of intracellular bacteria was determined by plate count. Data are the means of triplicates and are shown as means ± SD, n = 3. *P < 0.05, **P < 0.01.
The essentiality of KPOD CDTs for E. tarda to proliferate in the host
Three of the eight KPOD proteins, namely anaerobic C4-dicarboxylate transporter, DcuA (ETAE_0310), C4-dicarboxylate transporter, DcuC1 (ETAE_0790), and putative dicarboxylate-binding periplasmic protein (ETAE_2977), are involved in C4-dicarboxylate transportation. To investigate the potential role of CDTs in the infectivity of E. tarda, we evaluated the capacities of TX01Δ0310 and its complementary strain TX01Δ0310c, TX01Δ0790 and its complementary strain TX01Δ0790c, as well as the wild-type strain TX01 for proliferation in the tissues of turbot, a natural fish host of E. tarda. Our results revealed that, compared to the control groups, both TX01Δ0310- and TX01Δ0790-infected groups had significantly lower bacterial loads in spleen and head kidney, respectively, at 48-h post-infection (Fig. 5), indicating that CDTs are essential for E. tarda to proliferate in host tissues.
Fig 5.
The effects of gene deletion of KPOD CDTs on in vivo proliferation of E. tarda. Turbot were infected with TX01, TX01Δ0310, and TX01Δ0310c (A and B), TX01Δ0790 and TX01Δ0790c (C and D). At 12, 24, and 48-h post-infection, bacterial numbers in the spleen (A and C), and head kidney (B and D) were determined by plate count. Data are the means of triplicates and are shown as means ± SD, n = 3. *P < 0.05, **P < 0.01.
The substrate of CDTs and its role in the antioxidation of E. tarda
In order to determine the possible substrate(s) transported by CDTs, growth curves of TX01Δ0310 and TX01Δ0790 were, respectively, compared with those of the wild-type TX01 in a chemically defined medium, with or without the potential substrates of Dcu family, namely L-aspartate, malate, or fumarate. The results indicated that in the absence of L-aspartate both TX01Δ0310 and TX01Δ0790 showed similar growth curves with TX01, while in the presence of L-aspartate both TX01Δ0310 and TX01Δ0790 exhibited notably delayed growth compared to that of TX01 (Fig. 6A and B). In contrast, in the presence of malate or fumarate, the growth curve of TX01Δ0310 or TX01Δ0790 was similar to that of TX01 (Fig. S3). These results suggest that the gene products of ETAE_0310 and ETAE_0790 are likely two transporters for L-aspartate.
Fig 6.
Identification of the substrate of KPOD CDTs and its role in antioxidation of E. tarda. Growth curves of E. tarda TX01, TX01Δ0310 (A), and TX01Δ0790 (B) were determined in FMCM medium without or with L-aspartic acid (Asp). E. tarda TX01, TX01Δ0310, and TX01Δ0790 were grown in FMCM medium without or with Asp and treated with 1 mM H2O2 for 2 h; then, the survival rates were determined by plate count (C). Data are the means of triplicates and are shown as means ± SD, n = 3. **P < 0.01.
To investigate the possible role of L-aspartate in the antioxidative capacity of E. tarda, we conducted H2O2 pulsing assay to evaluate the resistance of TX01, TX01Δ0310, and TX01Δ0790 to oxidative stress in the medium without or with L-aspartate. The results showed that in the absence of L-aspartate, the survival rates of TX01, TX01Δ0310, and TX01Δ0790 were similar (Fig. 6C). Whereas the addition of 5 mM L-aspartate remarkedly enhanced the survival rate of TX01, which was also significantly higher than that of TX01Δ0310 or TX01Δ0790 in the presence of L-aspartate (Fig. 6C). These results suggest that the uptake of L-aspartate was essential for the antioxidative capacity of E. tarda.
DISCUSSION
E. tarda resides inside the host phagocyte, a challenging environment rife with deleterious ROS, and, therefore, requires efficient detoxification strategies for survival and thriving (3, 5, 23). In this study, we profiled the proteomic response of E. tarda to the oxidative stress induced by H2O2, a central molecule in the conversion chain of ROS, and identified eight proteins responsive to H2O2 stress both in translation and in transcription. Deletion of the coding genes for the eight proteins, respectively, resulted in significantly reduced capacity against H2O2 stress in vitro and remarkedly decreased proliferation in host macrophages, suggesting they are pivotal participants in antioxidative adaptation and intracellular proliferation of E. tarda. These proteins include seven metabolic enzymes and transporters, i.e., fructuronate reductase (ETAE_2291), mannonate dehydratase (ETAE_2289), glycerate 2 kinase (ETAE_3323), C4-dicarboxylate transporter DcuA (ETAE_0310), C4-dicarboxylate transporter DcuC1 (ETAE_0790), putative dicarboxylate-binding periplasmic protein (ETAE_2977), and dihydromonapterin reductase (ETAE_1753), and one non-metabolic protein, i.e., starvation-inducible DNA-binding protein, Dps (ETAE_1821).
In Escherichia coli, fructuronate reductase and mannonate dehydratase are important for glucuronate assimilation (27). Once inside the bacterial cell, glucuronate is first isomerized to D-fructuronate. Fructuronate reductase catalyzes the reduction of D-fructuronate to D-mannonate. Then, mannonate dehydratase catalyzes the dehydration of D-mannonate to 2-keto-3-deoxy-D-gluconate, which can be further phosphorylated to 2-keto-3-deoxy-D-gluconate-6-phosphate and fluxed to the Entner-Doudoroff pathway for the production of pyruvate (27, 28). In addition, glycerate 2 kinase catalyzes the phosphorylation of glycerate to 2-phosphoglycerate, which can also be fluxed to pyruvate production through the glycolysis pathway (29). In the present work, we found that fructuronate reductase, mannonate dehydratase, and glycerate 2 kinase were responsive to H2O2 stress and were part of the antioxidant mechanism of E. tarda. It is intriguing that all three of these metabolic enzymes can be linked to the generation of pyruvate, a ketoacid by chemical nature. It has emerged that ketoacids, including pyruvate, α-ketoglutarate, and glyoxylate, are able to function as ROS scavengers via non-enzymatic decarboxylation (25). Notably, the product of mannonate dehydratase KPG is also a ketoacid, which may be an unrevealed molecule with a significant role in the antioxidative defense of E. tarda and other bacteria.
In this work, we identified three C4-dicarboxylate transporting associated proteins, i.e., C4-dicarboxylate transporter DcuA, C4-dicarboxylate transporter DcuC1, and a putative dicarboxylate-binding periplasmic protein, as part of the antioxidant arsenal of E. tarda. In Enterobacteriaceae, C4-dicarboxylates such as fumarate, succinate, and malate, as well as C4-dicarboxylic amino acid L-aspartate can be uptake by C4-dicarboxylate transporters and utilized as nutrients and energy source (30, 31). Functional examination of DcuA and DcuC1 suggests that they are likely transporters for L-aspartate in E. tarda and are essential for this bacterium to proliferate inside macrophage and disseminate in host tissues. In addition, we found that L-aspartate is required for the full capacity of E. tarda for oxidative resistance. Bacteria assimilate aspartate to fuel the tricarboxylic acid (TCA) cycle through oxaloacetate or fumarate (32, 33). It was noted that the expression or activity of bacterial enzymes that metabolize TCA intermediates (such as oxaloacetate and malate) to pyruvate was heightened during oxidative metabolism (32, 34). In accordance with that, Pseudomonas fluorescens undergoes a metabolic reconfiguration to enhance pyruvate production upon H2O2 challenge (35). Notably, extraction of the intermediates from TCA cycle has bonus benefits for bacteria to alleviate the oxidative burden, as interrupted TCA would reduce the generation of NADH, the driving force of the electron transfer chain. The latter is a major site of intrinsic ROS production in bacterial cells (25). The above observations and our findings implicate that reprogramming the metabolic flow to the production of pyruvate may be a common strategy utilized by different bacteria to combat oxidative stress.
In this study, we identified dihydromonapterin reductase as a key contributor to the capacities of E. tarda for oxidative detoxification and intracellular survival. Dihydromonapterin reductase catalyzes the reduction of dihydromonapterin to tetrahydromonapterin (36). In bacteria, tetrahydromonapterin serves as an essential cofactor of the nitric oxide (NO) synthases (37). In Bacillus subtilis, NO produced by the bacterial NO synthase confers critical resistance to ROS attack by blocking the enzymatic release of free cysteines that fuel the generation of hydroxyl radicals by Fenton reaction and by directly reactivating catalase (38). In E. tarda, the roles of tetrahydromonapterin, bacterial NO synthase, and NO in the antioxidative defense remain to be delineated.
The only one non-enzymatic antioxidative protein identified in the present work is starvation-inducible DNA-binding protein, Dps, which is a ferritin-like protein being able to sequester iron to prevent the damaging Fenton reaction (39). In E. tarda, two Dps proteins, i.e., Dps1 and Dps2, have been characterized and found to be essential for mitigating the respiratory burst of macrophage and required for bacterial dissemination in vivo (19). The present work discovered a third Dps (ETAE_1821), which was upregulated upon H2O2 stress and involved in the antioxidative mechanism of E. tarda.
In conclusion, in this study, we profiled the proteomic alteration of E. tarda in response to the oxidative stress mediated by H2O2 treatment and identified eight key proteins for bacterial redox homeostasis, seven of which are metabolic enzymes and transporters. We then revealed the importance of L-aspartate uptake in the oxidative resistance of E. tarda. These findings indicated that metabolic reprogramming is likely a pivotal strategy of E. tarda for tolerance of oxidative stress and survival in the hostile environments of the host.
MATERIALS AND METHODS
Bacterial strains
The bacterial strains used in this study are listed in Table S1. Edwardsiella tarda TX01 and derivative strains were grown in Luria-Bertani (LB) medium at 28°C (40). For protein function assay, a chemically defined medium was formulated based on the FMC medium by Terleckyj et al. (41), with modifications as follows: supplementation of 110 µg/mL D-methionine and omitting glucose and L-aspartate from the recipe. The medium was named FMCM. Where indicated, 5 mM L-aspartate, malate, or fumarate was added to the medium. Escherichia coli DH5α and S17-1 λpir were grown in LB medium at 37°C. All bacterial cultures were initiated from a single colony on LB agar. Where required, polymyxin B, ampicillin, and chloramphenicol were supplemented at concentrations of 50, 100, and 30 µg/mL, respectively.
Cell culture
RAW264.7 cells (American Type Culture Collection, Rockville, MD, USA) were cultured at 37°C in Dulbecco’s modified Eagle’s medium (Corning, Arizona, USA) supplemented with 10% (vol/vol) fetal bovine serum (Gibco, Grand Island, NY, USA), 100 units/mL penicillin, and 100 µg/mL streptomycin (Solarbio, Beijing, China) in a humidified atmosphere containing 5% CO2.
Fish
Healthy turbot (Scophthalmus maximus), averaging 20 g, were purchased from Hai-Shuo-Jia-Yuan aquaculture company in Qingdao city, Shandong province, China. The fish were maintained at ~20°C in aerated seawater and fed with commercial feed daily. Turbot were acclimatized in the laboratory conditions for 2 weeks before the experiments.
Preparation of the proteomic samples
E. tarda TX01 was grown in LB broth at 28°C until the OD600 ≈ 0.5. Then, the culture was added with 0 mM (as control) or 10 mM hydrogen peroxide (H2O2). After 3 h, the bacteria were centrifuged and washed with phosphate buffered saline (PBS) at 4°C, and frozen in liquid nitrogen for subsequent experiments.
A total of six samples (three samples in the control group and three samples in the H2O2 treatment group) were lysed with SDT (4% SDS, 100 mM Tris-HCl, 1 mM DTT, pH 7.6) buffer. The protein of each sample was extracted and quantified with the BCA Protein Assay Kit (Bio-Rad, USA). Subsequently, trypsin digestion of protein was performed according to the method of filter-aided sample preparation procedure described by Matthias Mann (42). Then, the digested samples were desalted, concentrated, and reconstituted in 40 µL of 0.1% (vol/vol) formic acid.
LC-MS/MS analysis
Label-free proteomic analysis was performed by the Shanghai Applied Protein Technology Co. Ltd. (Shanghai, China) (43). In brief, liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) was performed on a Q Exactive mass spectrometer (Thermo Scientific) that was coupled to an Easy nLC HPLC liquid system (Thermo Scientific). Digested samples were loaded onto a reverse phase trap column (Acclaim PepMap100, 100 µm × 2 cm, nanoViper C18, Thermo Scientific) connected to the C18-reversed phase analytical column (Easy Column, 10 cm long, 75 µm inner diameter, 3 µm resin, Thermo Scientific) in buffer A (0.1% formic acid) and separated with a linear gradient of buffer B (84% acetonitrile and 0.1% formic acid) at a flow rate of 300 nL/min. The mass spectrometer was operated in positive-ion mode. The parameters of primary MS were set as follows: MS data survey scan range, 300–1,800 m/z; resolution, 70,000 at 200 m/z; automatic gain control target, 1e6; maximum inject time, 50 ms; and dynamic exclusion duration, 60.0 s. The parameters of secondary MS were set as follows: resolution for HCD spectra, 17,500 at m/z 200; isolation width, 2 m/z; normalized collision energy, 30 eV; and underfill ratio, 0.1%.
Proteins identification, quantitation and bioinformatics analysis
The MS raw data were combined and searched against the reverse NCBI_Edwardsiella tarda EIB202_6916_20201010 database using the MaxQuant software (1.5.3.17), as previously described (44). The search criteria were as follows: full tryptic specificity was required, two missed cleavage was allowed, carbamidomethyl (C) was set as the fixed modifications, the oxidation (M) was set as the variable modification, the MS/MS tolerances were set at 20 ppm, the protein and peptide false discovery rate was set to 0.01, and peptides only assigned to a given protein group were considered as unique.
The statistical significance was determined with an unpaired Student’s t-test, P < 0.05, and |fold change| ≥ 2 was set as the screening criteria to identify the DAPs. The Venn diagram analysis of the proteins was performed using the platform of Shanghai Applied Protein Technology Co., Ltd (http://cloud.aptbiotech.com/#/main-page). The GO annotation and the KEGG pathway of DAPs were annotated using the software program Blast2GO and KEGG Automatic Annotation Server. After Fisher’s exact test, GO terms and pathways with P-value < 0.05 were considered to be significantly enriched.
qRT-PCR assay
Aliquots of bacterial samples prepared for the proteomic analysis were lysed using Bacteria RNA Extraction Kit (Vazyme, Nanjing, China). RNA was extracted using Bacterial RNA Kit (Omega Bio-Tek, Guangzhou, China), with an optional on-membrane DNase I treatment step included to remove the residual genomic DNA. cDNA was obtained by reverse transcription using the RevertAid First Strand cDNA Synthesis Kit (Thermo Fisher Scientific, MA, USA). Quantitative real-time reverse transcription PCR (qRT-PCR) was performed in technical duplicates (three biological replicates for a treatment group) using the ChamQ Universal SYBR qPCR Master Mix (Vazyme, Nanjing, China) in a QuantStudio 3 Real-Time PCR System. Relative transcription was quantified by the comparative Ct (2-ΔΔCT) method with topA as an internal control (45). All primers are listed in Table S2.
Construction of the gene-deleted mutant and complementary strains of E. tarda
In-frame gene deletion was carried out as reported previously (46). In brief, the upstream and downstream DNA fragments of each target gene were amplified and overlapped by PCR and then inserted into pDM4 (47) at the BglII site by homologous recombination using ClonExpressII One Step Cloning Kit (Vazyme, Nanjing, China). The resulting plasmids were introduced into E. coli S17-1 λpir and then E. tarda TX01 by conjugative transfer. The mutant strains were generated by two-step homologous recombination and verified by PCR and sequencing (Table S1).
For the construction of the ETAE_0310 or ETAE_0790 complementary strain, the entire coding sequence of ETAE_0310 or ETAE_0790 was amplified by PCR and then inserted into pBT3 (48) at the EcoRV site by homologous recombination. The resulting plasmid was introduced into the mutant strain TX01Δ0310 or TX01Δ0790 by electroporation, yielding the complementary strain TX01Δ0310c and TX01Δ0790c.
All primers used in this study are listed in Table S2.
H2O2 pulsing assay
E. tarda strains were grown in LB medium at 28°C until OD600 ≈ 0.5. The bacteria were collected by centrifugation, washed with PBS, and suspended in PBS with 0 or 1 mM H2O2 to a final concentration of 1 × 105 CFU/mL. After 2-h incubation at 28°C, the cells were diluted in PBS and plated on LB agar plates. The plates were incubated at 28°C for 24 h; the number of colony-forming units was counted and bacterial survival was determined as follows: (number of survived cells after H2O2 treatment/number of recovered cells without H2O2 treatment) × 100%.
To examine the effects of exogenous metabolite on the resistance of E. tarda to H2O2 pulsing, TX01, TX01Δ0310, and TX01Δ0790 were grown in FMCM medium at 28°C until OD600 ≈ 0.2, and then 5 mM or 0 mM (as control) of L-aspartate was added to the medium. The bacteria were grown for another 2 h at 28°C, then subjected to H2O2 pulsing and plate count as described above.
Cellular infection assay
RAW264.7 cells were infected with E. tarda wild-type TX01 and derivates as described previously with slight modification (49). Briefly, E. tarda strains were prepared as above and resuspended in Opti-MEM (Gibco, Grand Island, NY, USA) to a final concentration of 1 × 107 CFU/mL. Bacteria were added to RAW264.7 cells in a 24-well plate at a multiplicity of infection of 10:1. The plates were centrifuged at 800 g for 10 min and incubated at 30°C for 1.5 h. Then, the culture medium was replaced by fresh Opti-MEM containing 400 µg/mL gentamicin. The plates were incubated at 30°C for 40 min for the antibiotics to kill the extracellular bacteria. The cells were then washed three times with PBS and cultured in Opti-MEM containing 20 µg/mL gentamicin for 0, 2, 4, and 6 h to allow intracellular proliferation of the bacteria. At each time point, 600 µL 1% (vol/vol) Triton X-100 was added to the plate to lyse the cells; the lysate was diluted and plated onto LB agar. The plates were incubated at 28°C for 24 h, and the number of colonies was counted.
In vivo infection assay
In vivo infection was performed as described previously with slight modification (46). Briefly, TX01, TX01Δ0310, TX01Δ0310c, TX01Δ0790, and TX01Δ0790c were prepared as above and resuspended in PBS to a concentration of 1 × 107 CFU/mL. Turbot were randomly divided into five groups (nine fish/group) and infected via intramuscular injection with 100 µL TX01, TX01Δ0310, TX01Δ0310c, TX01Δ0790, or TX01Δ0790c. At 12-, 24-, and 48-h post-infection, fish were euthanized with an overdose of tricaine methanesulfonate (Sigma-Aldrich, Madrid, Spain). The spleen and kidney were collected aseptically, homogenized, and serially diluted in PBS. The diluted homogenates were plated onto LB plates. The plates were incubated at 28°C for 24 h, and the number of colonies was counted.
Statistical analysis
All experiments were performed three times. Statistical analyses were carried out with GraphPad Prism version 7.00 (GraphPad Software Inc., San Diego, CA, USA). Data were analyzed with Student’s t-test. Statistical significance was defined as P < 0.05.
ACKNOWLEDGMENTS
This work was financed by the grants of the National Key Research and Development Program of China (2018YFD0900500) and the Taishan Scholar Program of Shandong Province.
X.W. was involved in investigation, formal analysis, and writing of the original draft. B.S. was responsible for conceptualization, formal analysis, writing of the original draft, reviewing, and editing.
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Contributor Information
Boguang Sun, Email: sunboguang@qdio.ac.cn.
Tricia A. Van Laar, California State University, Stanislaus, Turlock, California, USA
DATA AVAILABILITY
All data of this article have been provided in the main body or supplemental material. The proteomic data are provided in Table S3 and Table S4.
ETHICS APPROVAL
The experiments were conducted in accordance with the regulations of the Ethics Committee of Institute of Oceanology, Chinese Academy of Sciences.
SUPPLEMENTAL MATERIAL
The following material is available online at https://doi.org/10.1128/msystems.00391-23.
Figures S1 to S3; Tables S1, S2, S5, and S6; legends for Tables S3 and S4.
List of the significantly changed DAPs.
List of the DAPs detected only in H2O2 group or control group.
ASM does not own the copyrights to Supplemental Material that may be linked to, or accessed through, an article. The authors have granted ASM a non-exclusive, world-wide license to publish the Supplemental Material files. Please contact the corresponding author directly for reuse.
REFERENCES
- 1. Buján N, Toranzo AE, Magariños B. 2018. Edwardsiella piscicida: a significant bacterial pathogen of cultured fish. Dis Aquat Organ 131:59–71. doi: 10.3354/dao03281 [DOI] [PubMed] [Google Scholar]
- 2. Abayneh T, Colquhoun DJ, Sørum H. 2013. Edwardsiella piscicida sp. nov., a novel species pathogenic to fish. J Appl Microbiol 114:644–654. doi: 10.1111/jam.12080 [DOI] [PubMed] [Google Scholar]
- 3. Leung KY, Wang Q, Yang Z, Siame BA. 2019. Edwardsiella piscicida: a versatile emerging pathogen of fish. Virulence 10:555–567. doi: 10.1080/21505594.2019.1621648 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Xu TT, Zhang XH. 2014. Edwardsiella tarda: an intriguing problem in aquaculture. Aquaculture 431:129–135. doi: 10.1016/j.aquaculture.2013.12.001 [DOI] [Google Scholar]
- 5. Leung KY, Wang Q, Zheng X, Zhuang M, Yang Z, Shao S, Achmon Y, Siame BA. 2022. Versatile lifestyles of Edwardsiella: free-living, pathogen, and core bacterium of the aquatic resistome. Virulence 13:5–18. doi: 10.1080/21505594.2021.2006890 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Rosales C, Uribe-Querol E. 2017. Phagocytosis: a fundamental process in immunity. Biomed Res Int 2017:9042851. doi: 10.1155/2017/9042851 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Flannagan RS, Cosío G, Grinstein S. 2009. Antimicrobial mechanisms of phagocytes and bacterial evasion strategies. Nat Rev Microbiol 7:355–366. doi: 10.1038/nrmicro2128 [DOI] [PubMed] [Google Scholar]
- 8. Splettstoesser WD, Schuff-Werner P. 2002. Oxidative stress in phagocytes - "the enemy within". Microsc Res Tech 57:441–455. doi: 10.1002/jemt.10098 [DOI] [PubMed] [Google Scholar]
- 9. Flannagan RS, Jaumouillé V, Grinstein S. 2012. The cell biology of phagocytosis. Annu Rev Pathol 7:61–98. doi: 10.1146/annurev-pathol-011811-132445 [DOI] [PubMed] [Google Scholar]
- 10. Grayfer L, Hodgkinson JW, Belosevic M. 2014. Antimicrobial responses of teleost phagocytes and innate immune evasion strategies of intracellular bacteria. Dev Comp Immunol 43:223–242. doi: 10.1016/j.dci.2013.08.003 [DOI] [PubMed] [Google Scholar]
- 11. Jones S. 2007. Antibiotics and death - the fenton connection. Nat Rev Microbiol 5:829–829. doi: 10.1038/nrmicro1783 [DOI] [Google Scholar]
- 12. Jang SJ, Imlay JA. 2007. Micromolar intracellular hydrogen peroxide disrupts metabolism by damaging iron-sulfur enzymes. J Biol Chem 282:929–937. doi: 10.1074/jbc.M607646200 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Imlay JA, Chin SM, Linn S. 1988. Toxic DNA damage by hydrogen-peroxide through the fenton reaction in vivo and in vitro. Science 240:640–642. doi: 10.1126/science.2834821 [DOI] [PubMed] [Google Scholar]
- 14. Tamarit J, de Hoogh A, Obis E, Alsina D, Cabiscol E, Ros J. 2012. Analysis of oxidative stress-induced protein carbonylation using fluorescent hydrazides. J Proteomics 75:3778–3788. doi: 10.1016/j.jprot.2012.04.046 [DOI] [PubMed] [Google Scholar]
- 15. Cheng SA, Zhang M, Sun L. 2010. The iron-cofactored superoxide dismutase of Edwardsiella tarda inhibits macrophage-mediated innate immune response. Fish Shellfish Immunol 29:972–978. doi: 10.1016/j.fsi.2010.08.004 [DOI] [PubMed] [Google Scholar]
- 16. Wang Q, Yang M, Xiao J, Wu H, Wang X, Lv Y, Xu L, Zheng H, Wang S, Zhao G, Liu Q, Zhang Y, Ahmed N. 2009. Genome sequence of the versatile fish pathogen Edwardsiella tarda provides insights into its adaptation to broad host ranges and intracellular niches. PLoS ONE 4:e7646. doi: 10.1371/journal.pone.0007646 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Srinivasa Rao PS, Yamada Y, Leung KY. 2003. A major catalase (KatB) that is required for resistance to H2O2 and phagocyte-mediated killing in Edwardsiella tarda. Microbiology (Reading) 149:2635–2644. doi: 10.1099/mic.0.26478-0 [DOI] [PubMed] [Google Scholar]
- 18. Xiao J, Chen T, Wang Q, Zhang Y. 2012. Comparative analysis of the roles of catalases KatB and KatG in the physiological fitness and pathogenesis of fish pathogen Edwardsiella tarda. Lett Appl Microbiol 54:425–432. doi: 10.1111/j.1472-765X.2012.03225.x [DOI] [PubMed] [Google Scholar]
- 19. Zheng W, Hu Y, Sun L. 2011. The two Dps of Edwardsiella tarda are involved in resistance against oxidative stress and host infection. Fish Shellfish Immunol 31:985–992. doi: 10.1016/j.fsi.2011.08.018 [DOI] [PubMed] [Google Scholar]
- 20. Wang B-Y, Huang H-Q, Li S, Tang P, Dai H-F, Xian J-A, Sun D-M, Hu Y-H. 2019. Thioredoxin H (TrxH) contributes to adversity adaptation and pathogenicity of Edwardsiella piscicida. Vet Res 50:26. doi: 10.1186/s13567-019-0645-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Hu Y-H, Sun L. 2016. The global regulatory effect of Edwardsiella tarda fur on iron acquisition, stress resistance, and host infection: a proteomics-based interpretation. J Proteomics 140:100–110. doi: 10.1016/j.jprot.2016.04.005 [DOI] [PubMed] [Google Scholar]
- 22. Gao DQ, Li YH, Zheng EJ, Liu NA, Shao ZY, Lu CP. 2016. Eha, a regulator of Edwardsiella tarda, required for resistance to oxidative stress in macrophages. Fems Microbiol Lett 363:fnw192. doi: 10.1093/femsle/fnw192 [DOI] [PubMed] [Google Scholar]
- 23. Xie H-X, Lu J-F, Zhou Y, Yi J, Yu X-J, Leung KY, Nie P. 2015. Identification and functional characterization of the novel Edwardsiella tarda effector EseJ. Infect Immun 83:1650–1660. doi: 10.1128/IAI.02566-14 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Lushchak VI. 2011. Adaptive response to oxidative stress: bacteria, fungi, plants and animals. Comp Biochem Physiol C Toxicol Pharmacol 153:175–190. doi: 10.1016/j.cbpc.2010.10.004 [DOI] [PubMed] [Google Scholar]
- 25. Lemire J, Alhasawi A, Appanna VP, Tharmalingam S, Appanna VD. 2017. Metabolic defence against oxidative stress: the road less travelled so far. J Appl Microbiol 123:798–809. doi: 10.1111/jam.13509 [DOI] [PubMed] [Google Scholar]
- 26. Kou T-S, Wu J-H, Chen X-W, Chen Z-G, Zheng J, Peng B. 2022. Exogenous glycine promotes oxidation of glutathione and restores sensitivity of bacterial pathogens to serum-induced cell death. Redox Biol 58:102512. doi: 10.1016/j.redox.2022.102512 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Murarka A, Clomburg JM, Gonzalez R. 2010. Metabolic flux analysis of wild-type Escherichia coli and mutants deficient in pyruvate-dissimilating enzymes during the fermentative metabolism of glucuronate. Microbiology (Reading) 156:1860–1872. doi: 10.1099/mic.0.036251-0 [DOI] [PubMed] [Google Scholar]
- 28. Qiu XT, Tao YY, Zhu YW, Yuan Y, Zhang YJ, Liu HJ, Gao YX, Teng MK, Niu LW. 2012. Structural insights into decreased enzymatic activity induced by an insert sequence in mannonate dehydratase from gram negative bacterium. J Struct Biol 180:327–334. doi: 10.1016/j.jsb.2012.06.013 [DOI] [PubMed] [Google Scholar]
- 29. Sánchez-Pascuala A, de Lorenzo V, Nikel PI. 2017. Refactoring the embden-meyerhof-parnas pathway as a whole of portable glucobricks for implantation of glycolytic modules in gram negative bacteria. ACS Synth Biol 6:793–805. doi: 10.1021/acssynbio.6b00230 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Unden G, Strecker A, Kleefeld A, Kim OB. 2016. C4-dicarboxylate utilization in aerobic and anaerobic growth. EcoSal Plus 7. doi: 10.1128/ecosalplus.ESP-0021-2015 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Kim S, Lee HK, Jung GY. 2022. Identification process and physiological properties of transporters of carboxylic acids in Escherichia coli. Biotechnol Bioproc E 27:900–908. doi: 10.1007/s12257-022-0305-4 [DOI] [Google Scholar]
- 32. Alhasawi A, Leblanc M, Appanna ND, Auger C, Appanna VD. 2015. Aspartate metabolism and pyruvate homeostasis triggered by oxidative stress in Pseudomonas fluorescens: a functional metabolomic study. Metabolomics 11:1792–1801. doi: 10.1007/s11306-015-0841-4 [DOI] [Google Scholar]
- 33. Fibriansah G, Veetil VP, Poelarends GJ, Thunnissen A-M. 2011. Structural basis for the catalytic mechanism of aspartate ammonia lyase. Biochemistry 50:6053–6062. doi: 10.1021/bi200497y [DOI] [PubMed] [Google Scholar]
- 34. Luche S, Eymard-Vernain E, Diemer H, Van Dorsselaer A, Rabilloud T, Lelong C. 2016. Zinc oxide induces the stringent response and major reorientations in the central metabolism of Bacillus subtilis. J Proteomics 135:170–180. doi: 10.1016/j.jprot.2015.07.018 [DOI] [PubMed] [Google Scholar]
- 35. Bignucolo A, Appanna VP, Thomas SC, Auger C, Han S, Omri A, Appanna VD. 2013. Hydrogen peroxide stress provokes a metabolic reprogramming in Pseudomonas fluorescens: enhanced production of pyruvate. J Biotechnol 167:309–315. doi: 10.1016/j.jbiotec.2013.07.002 [DOI] [PubMed] [Google Scholar]
- 36. Pribat A, Blaby IK, Lara-Núñez A, Gregory JF, de Crécy-Lagard V, Hanson AD. 2010. FolX and FolM are essential for tetrahydromonapterin synthesis in Escherichia coli and Pseudomonas aeruginosa. J Bacteriol 192:475–482. doi: 10.1128/JB.01198-09 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Santolini J, Roman M, Stuehr DJ, Mattioli TA. 2006. Resonance Raman study of Bacillus subtilis NO synthase-like protein: similarities and differences with mammalian NO synthases. Biochemistry 45:1480–1489. doi: 10.1021/bi051710q [DOI] [PubMed] [Google Scholar]
- 38. Gusarov I, Nudler E. 2005. NO-mediated cytoprotection: instant adaptation to oxidative stress in bacteria. Proc Natl Acad Sci U S A 102:13855–13860. doi: 10.1073/pnas.0504307102 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Imlay JA. 2013. The molecular mechanisms and physiological consequences of oxidative stress: lessons from a model bacterium. Nat Rev Microbiol 11:443–454. doi: 10.1038/nrmicro3032 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Zhang M, Sun K, Sun L. 2008. Regulation of autoinducer 2 production and luxS expression in a pathogenic Edwardsiella tarda strain. Microbiology (Reading) 154:2060–2069. doi: 10.1099/mic.0.2008/017343-0 [DOI] [PubMed] [Google Scholar]
- 41. Terleckyj B, Willett NP, Shockman GD. 1975. Growth of several cariogenic strains of oral streptococci in a chemically defined medium. Infect Immun 11:649–655. doi: 10.1128/iai.11.4.649-655.1975 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Wiśniewski JR, Zougman A, Nagaraj N, Mann M. 2009. Universal sample preparation method for proteome analysis. Nat Methods 6:359–362. doi: 10.1038/nmeth.1322 [DOI] [PubMed] [Google Scholar]
- 43. Li P, Tian M, Hu H, Yin Y, Guan X, Ding C, Wang S, Yu S. 2019. Lable-free based comparative proteomic analysis of secretory proteins of rough Brucella mutants. J Proteomics 195:66–75. doi: 10.1016/j.jprot.2019.01.008 [DOI] [PubMed] [Google Scholar]
- 44. Wilhelm M, Schlegl J, Hahne H, Gholami AM, Lieberenz M, Savitski MM, Ziegler E, Butzmann L, Gessulat S, Marx H, Mathieson T, Lemeer S, Schnatbaum K, Reimer U, Wenschuh H, Mollenhauer M, Slotta-Huspenina J, Boese J-H, Bantscheff M, Gerstmair A, Faerber F, Kuster B. 2014. Mass-spectrometry-based draft of the human proteome. Nature 509:582–587. doi: 10.1038/nature13319 [DOI] [PubMed] [Google Scholar]
- 45. Sun ZY, Deng J, Wu HZ, Wang QY, Zhang YX. 2017. Selection of stable reference genes for real-time quantitative PCR analysis in Edwardsiella tarda. J Microbiol Biotechnol 27:112–121. doi: 10.4014/jmb.1605.05023 [DOI] [PubMed] [Google Scholar]
- 46. Li M-F, Wang C, Sun L. 2015. Edwardsiella tarda MliC, a lysozyme inhibitor that participates in pathogenesis in a manner that parallels Ivy. Infect Immun 83:583–590. doi: 10.1128/IAI.02473-14 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Milton DL, O’Toole R, Horstedt P, Wolf-Watz H. 1996. Flagellin A is essential for the virulence of Vibrio anguillarum. J Bacteriol 178:1310–1319. doi: 10.1128/jb.178.5.1310-1319.1996 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Zhang W, Sun K, Cheng S, Sun L. 2008. Characterization of DegQVh, a serine protease and a protective immunogen from a pathogenic Vibrio harveyi strain. Appl Environ Microbiol 74:6254–6262. doi: 10.1128/AEM.00109-08 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Sui Z-H, Xu H, Wang H, Jiang S, Chi H, Sun L. 2017. Intracellular trafficking pathways of Edwardsiella tarda: from clathrin- and caveolin-mediated endocytosis to endosome and lysosome. Front Cell Infect Microbiol 7:400. doi: 10.3389/fcimb.2017.00400 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Figures S1 to S3; Tables S1, S2, S5, and S6; legends for Tables S3 and S4.
List of the significantly changed DAPs.
List of the DAPs detected only in H2O2 group or control group.
Data Availability Statement
All data of this article have been provided in the main body or supplemental material. The proteomic data are provided in Table S3 and Table S4.






