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. 2020 Jul 14;11:1453. doi: 10.3389/fmicb.2020.01453

Comparative Proteomics and Secretomics Revealed Virulence and Antibiotic Resistance-Associated Factors in Vibrio parahaemolyticus Recovered From Commonly Consumed Aquatic Products

Zhuoying Zhu 1, Lianzhi Yang 1, Pan Yu 1, Yongjie Wang 1, Xu Peng 2, Lanming Chen 1,*
PMCID: PMC7381183  PMID: 32765437

Abstract

Vibrio parahaemolyticus is a seafoodborne pathogen that can cause severe gastroenteritis and septicemia diseases in humans and even death. The emergence of multidrug-resistant V. parahaemolyticus leads to difficulties and rising costs of medical treatment. The bacterium of environmental origins containing no major virulence genes (tdh and trh) has been reported to be associated with infectious diarrhea disease as well. Identification of risk factors in V. parahaemolyticus is imperative for assuming food safety. In this study, we obtained secretomic and proteomic profiles of V. parahaemolyticus isolated from 12 species of commonly consumed aquatic products and identified candidate protein spots by using two-dimensional gel electrophoresis and liquid chromatography tandem mass spectrometry techniques. A total of 11 common and 28 differential extracellular proteins were found from distinct secretomic profiles, including eight virulence-associated proteins: outer membrane channel TolC, maltoporin, elongation factor Tu, enolase, transaldolase, flagellin C, polar flagellin B/D, and superoxide dismutase, as well as five antimicrobial and/or heavy metal resistance-associated ABC transporter proteins. Comparison of proteomic profiles derived from the 12 V. parahaemolyticus isolates also revealed five intracellular virulence-related proteins, including aldehyde-alcohol dehydrogenase, outer membrane protein A, alkyl hydroperoxide reductase C, phosphoenolpyruvate-protein phosphotransferase, and phosphoglycerate kinase. Additionally, our data indicated that aquatic product matrices significantly altered proteomic profiles of the V. parahaemolyticus isolates with a number of differentially expressed proteins identified. The results in this study meet the increasing need for novel diagnosis candidates of the leading seafoodborne pathogen worldwide.

Keywords: Vibrio parahaemolyticus, secretome, proteome, virulence, resistance, aquatic products

Introduction

Vibrio parahaemolyticus is a gram-negative bacterium that thrives in marine, estuarine, and aquaculture environments worldwide (Ghenem et al., 2017). The bacterium is frequently detected from seafood such as shellfish, shrimp, and fish. Consumption of raw or inadequately cooked seafood, primarily oysters, can cause acute gastroenteritis in humans (Ghenem et al., 2017). Vibrio parahaemolyticus was initially identified in an outbreak of infectious diarrhea disease in 1950 in Osaka, Japan, caused by contaminated semidried juvenile sardines, which sickened 272 and killed 20 people (Fujino et al., 1965). Henceforth, outbreaks and prevalence of the infectious disease are reported in many countries in the world (Ghenem et al., 2017; Baker-Austin et al., 2018). In the United States, there were approximately 35,000 cases of acute gastroenteritis infected by V. parahaemolyticus per year from 2000 to 2008 (Baker-Austin et al., 2018). Data from foodborne disease outbreak reporting system in China showed that 42.3% of biohazard cases reported were attributed to V. parahaemolyticus from 2011 to 2016 (Liu et al., 2018). Vibrio parahaemolyticus has been the leading cause of infectious diarrhea disease, especially among adults in coastal regions in China (Yang C. et al., 2019). Recently, V. parahaemolyticus was reported to be associated with acute hepatopancreatic necrosis disease, a newly emerging shrimp disease, which severely damaged the global shrimp industry (Li et al., 2017). The global spread of V. parahaemolyticus underscores the need for a better understanding of virulence traits of the bacterium.

Most pathogenic V. parahaemolyticus strains have two major virulence genes (tdh and trh) encoding thermostable direct hemolysin (TDH) and TDH-related hemolysin. The former is a heat-resistant and pore-forming toxin composed of 156 amino acids, whereas the latter contains 189 amino acids and shares 54.8–68.8% identify in nucleotide level with the TDH (Zhang and Orth, 2013). Both these toxins have hemolytic activity, enterotoxin activity, cardiotoxicity, and cytotoxicity (Li et al., 2019). Nevertheless, approximately 90–99% of V. parahaemolyticus isolates of environmental origins were detected negative for the toxic factors (Raszl et al., 2016; Park et al., 2018). Previous studies have revealed some other cytotoxic factors to human gastrointestinal cells secreted by type III and type VI secretion systems (T3SS and T6SS) in V. parahaemolyticus (Makino et al., 2003). Two types of T3SSs (T3SS1 and T3SS2) were identified, of which T3SS1 located in chromosome I is necessary for the bacterial survival in the environment (Makino et al., 2003; De Nisco et al., 2017). Recent studies indicated that T3SS1 appeared to inject effectors, for example, VopQ, VopR, VopS, and VPA0450, directly into human gastrointestinal cells, which lead to the induction of rapid autophagy followed by cell rounding, eventually cell lysis (Osorio, 2018). The T3SS2 located on chromosome II plays a critical role in the enteropathogenicity of the bacterium (Makino et al., 2003). The effectors of T3SS2 can cause enterotoxicity by destroying the cell cytoskeleton, for example, VopC, VopL, VopV, and VopO, or manipulating cell signaling transduction, for example, VopA, VopT, VopZ, and VPA1380 (De Souza Santos et al., 2017; Osorio, 2018; Luo et al., 2019). Additionally, T6SS is a complex secretory device capable of secreting effectors into host mammalian cells as well as target bacterial cells (Li et al., 2019). It consists of a series of components including structural proteins, translocators, secreted proteins, and some other proteins with auxiliary function, for example, DotU, IcmF, ClpV, Hcp, VgrG, and PAAR (Salomon et al., 2014). Similar to T3SS, V. parahaemolyticus encodes two T6SSs (T6SS1 and T6SS2) located on chromosomes I and II, respectively. T6SS1 is active under warm marine-like conditions (3% NaCl, 30°C), whereas T6SS2 is active under low salinity and low temperature (1% NaCl, 23°C) (Salomon et al., 2013). Recent studies have indicated that T6SSs are tightly regulated in pathogenic bacteria, for example, Vibrio cholerae, Pseudomonas aeruginosa, and V. parahaemolyticus, and induced by external conditions and cues such as quorum sensing, salinity, temperature, mucin, chitin, surface sensing, and cell membrane damage (Ben-Yaakov and Salomon, 2019).

There is growing evidence to support that V. parahaemolyticus isolates lacking the virulence factors can cause infectious diarrhea disease in humans (Castillo et al., 2018). For example, Thongjun et al. (2013) reported that 9–10% of clinical isolates recovered from diarrhea patients were identified as non-toxigenic V. parahaemolyticus in South Thailand between 2001 and 2010. On the other hand, non-toxigenic V. parahaemolyticus isolates of environmental origins may possess additional pathogenicity mechanisms. The emergence of multidrug-resistant (MDR) V. parahaemolyticus increases the difficulty and cost of clinical treatment (Elmahdi et al., 2016). For instance, Hu and Chen (2016) reported that 74.5% of the V. parahaemolyticus strains (n = 208) isolated from 10 species of commonly consumed aquatic products in Shanghai, China, were resistant to more than three antimicrobial agents. Yang et al. (2017) isolated 98 V. parahaemolyticus strains from 504 seafood samples in 11 provinces of China and found that 68.38% of the isolates showed MDR phenotypes. Recently, Lopatek et al. (2018) reported that 55.8% of the V. parahaemolyticus isolates (n = 104) recovered from 595 samples collected from Denmark, France, Germany, Italy, the Netherlands, Norway, Poland, Spain, Sri Lanka, and Turkey had resistance to ampicillin and streptomycin and one isolate resistant to ampicillin, streptomycin, and ciprofloxacin. Therefore, identification of virulence and resistance-associated factors in V. parahaemolyticus is imperative for food safety systems, particularly in developing countries.

The combination of two-dimensional gel electrophoresis (2D-GE) and liquid chromatography tandem mass spectrometry (LC-MS/MS) techniques is widely used in current proteomics researches (Kim and Cho, 2019). The 2D-GE couples isoelectric focusing (IEF) in the first dimension and sodium dodecyl sulfate–polyacrylamide gel electrophoresis (SDS-PAGE) in the second dimension, which separate proteins according to isoelectric points and molecular masses, respectively. Several hundreds of individual protein abundances separated by 2D-GE can be quantified in the cell population or sample tissues. The LC-MS/MS is also a powerful tool that can efficiently separate and identify constituents in protein mixtures with high sensitivity and specificity (Aslam et al., 2017). For instance, based on the LC-MS/MS technique, Zhong et al. (2019) compared V. parahaemolyticus proteomes between the resuscitation state and viable but non-culturable state and found a total of 429 differentially expressed proteins mainly involved in cellular process, establishment of localization, and metabolic process. Pang et al. (2020) analyzed 102 acetylation modified proteins of Vibrio alginolyticus HY9901 by LC-MS/MS and identified five virulence factors, including HemL, FabB, FabD, FabF-3, and PhoR.

The People’s Republic of China is the world’s largest producer, consumer, and exporter of aquatic products, including fish, crustaceans, and shellfish (Hu and Chen, 2016). Data from China Fishery Statistical Yearbook (2018) showed that shellfish production (14,371,304 tons) is an important part of maricultural production in China, and the main species include Ostrea gigas thunberg (known as oyster) (34.0%), Ruditapes philippinarum, Mactra veneriformis, and Paphia undulate (known as clam) (29.1%), Placopecten magellanicus (known as scallop) (14.0%), Perna viridis (known as mussel) (6.5%), and Solen strictus (known as razor clam) (6.0%). Additionally, Aristichthys nobilis (known as bighead carp) and Ctenopharyngodon idellus (known as grass carp) are commonly consumed freshwater fish in China, accounting for 18.4% (5,345,641 tons) and 10.7% (3,097,952 tons) of the total freshwater aquaculture production (29,052,930 tons), respectively. The production of Litopenaeus vannamei (known as white-leg shrimp) was 1,672,287 tons, which was the most predominant among the crustaceans in 2017 (Zhang et al., 2018). Oratosquilla oratoria (known as mantis shrimp) is one of the most economically important species of Pacific shrimp, and its output was 219,087 tons in 2017 (Zhang et al., 2018). Continuous monitoring of food contaminants and identification of risk factors are crucial to safeguard the food supply chain (Chen and Alali, 2018). In our prior researches, V. parahaemolyticus contamination in 10 species of aquatic products was surveyed (He et al., 2016; Hu and Chen, 2016). Secretomic profiles of seven V. parahaemolyticus strains of two clinical and five aquatic product origins (Haliotis asinina, Moerella iridescens, Metapenaeus ensis, Exopalaemon carinicauda, and L. vannamei) were compared, and six virulence-associated proteins involved in bacterial pathogenicity were identified (He et al., 2015). Recently, a number of V. parahaemolyticus isolates from 25 species of commonly consumed shellfish, crustacean, and fish samples were isolated and characterized (Su et al., unpublished). Among these, 12 V. parahaemolyticus isolates recovered from eight shellfish (M. veneriformis, O. gigas thunberg, P. undulate, P. viridis, P. magellanicus, R. philippinarum, Sinonovacula constricta, and S. strictus), two crustacean (L. vannamei and O. oratoria), and two fish (A. nobilis and C. idellus) had multiple resistance to antimicrobial agents and heavy metals. The objectives of this study were (1) to characterize genetic diversity of the V. parahaemolyticus isolates recovered from 12 species of aquatic products; (2) to take advantage of 2D-GE and LC-MS/MS technologies to determine secretomic and proteomic profiles of the 12 V. parahaemolyticus isolates and to identify common and/or differential extracellular and intracellular proteins by comparative secretomic and proteomic analysis of the isolates from three kinds of aquatic products; and (3) to study implications of various aquatic product matrices on proteomics of the V. parahaemolyticus isolates. The secretomes and proteomes between the V. parahaemolyticus isolates and pathogenic reference strains were compared as well. To our knowledge, very little of such information in V. parahaemolyticus recovered from all the species (except L. vannamei) was available to date. The results in this study support the increasing need for novel sites and targets for food safety control of V. parahaemolyticus contamination in aquatic products.

Materials and Methods

V. parahaemolyticus Strains and Culture Conditions

Vibrio parahaemolyticus strains used in this study are listed in Table 1, and their genotypes and phenotypes were characterized by Su et al. (under review). Vibrio parahaemolyticus strains were individually inoculated from −80°C stock in our laboratory in Shanghai Ocean University and incubated in tryptic soy broth (TSB) medium (pH 8.5, 3.0% NaCl; Beijing Land Bridge Technology Co., Ltd., Beijing, China) at 37°C. Bacterial cell cultures grown at mid-logarithmic phase with OD600nm values ranging from 0.5 to 0.6 without shaking were collected for extracellular protein extraction, whereas those at late-logarithmic phase with OD600nm values ranging from 0.8 to 1.0 with shaking at 180 revolutions/min (rpm) were used for intracellular protein extraction (He et al., 2015). Vibrio parahaemolyticus ATCC33847 (tdh+ trh) and ATCC17802 (tdh trh+) were used as standard strains (Table 1).

TABLE 1.

The genotypes and phenotypes of the V. parahaemolyticus isolates used in this study.

V. parahaemolyticus strain Source Year of isolation tlh tdh trh Resistance to antibiotics Tolerance to heavy metals
CHN-B2-28 Ruditapes philippinarum, China 2017 + RIF, STR, AMP Hg, Zn
CHN-B5-29 Placopecten magellanicus, China 2017 + RIF, KAN, STR, AMP Hg, Zn
CHN-B6-62 Sinonovacula constricta, China 2017 + RIF, KAN, STR, AMP Hg, Cr, Pb
CHN-B8-26 Solen strictus, China 2017 + RIF, KAN, STR, AMP Cu, Hg, Cd, Zn
CHN-N3-2 Paphia undulate, China 2017 + RIF, TET, STR, AMP Cu, Hg, Cd, Pb, Zn
CHN-N4-18 Perna viridis, China 2017 + RIF, KAN, TET, STR, AMP Cu, Hg, Zn
CHN-N8-5 Mactra veneriformis, China 2017 + RIF, TET, STR, AMP Cd
CHN-N10-18 Ostrea gigas thunberg, China 2017 + RIF, KAN, STR, AMP Hg, Cd, Zn
CHN-N1-56 Litopenaeus vannamei, China 2017 + RIF, KAN, TET, STR, AMP Hg, Cr, Zn
CHN-N2-5 Oratosquilla oratoria, China 2017 + RIF, KAN, TET, STR, AMP Hg, Cd
CHN-L7-40 Aristichthys nobilis, China 2017 + RIF, KAN, STR, AMP Cu, Cd, Zn
CHN-Q5-1 Ctenopharyngodon idellus, China 2017 + RIF, KAN, STR, AMP Hg, Cd, Cr, Zn
ATCC33847* Gastroenteritis, Maryland, United States 1973 + + AMP
ATCC17802** Shirasu food poisoning, Japan 1965 + +

RIF, rifampin; AMP, ampicillin; STR, streptomycin; KAN, kanamycin; TET, tetracycline; copper, CuCl2; mercury, HgCl2; cadmium, CdCl2; lead, PbCl2; zinc, ZnCl2; chromium, CrCl3; +, present; −, absence. *Baumann et al. (1973); **Fujino et al. (1965).

Enterobacterial Repetitive Intergenic Consensus—Polymerase Chain Reaction Assay

Bacterial genomic DNA was extracted by a thermal lysis method as previously described (Xu et al., 2019). The Enterobacterial Repetitive Intergenic Consensus (ERIC) primers ERIC-F (5′-ATGTAAGCTCCTGGGGATTCAC-3′) and ERIC-R (5′-AAGTAAGTGACTGGGGTGAGCG-3′) (Rivera et al., 1995) were synthesized by Sangon Biotech Co., Ltd., Shanghai, China. A 20 μL of ERIC–polymerase chain reaction (PCR) reaction solution contained 6 μL sterile DNase/RNase-free deionized H2O (Tiangen Biotech Co., Ltd., Beijing, China), 1 μL of each primer (0.25 mM), 10 μL 2 × Taq PCR master mix (Novoprotein Scientific lnc., Shanghai, China), and 2 μL DNA template. The ERIC-PCRs was performed using Mastercycler® pro PCR thermal cycler (Eppendorf Corporate, Hamburg, Germany) under the following conditions: denaturation at 95°C for 8 min, 32 cycles of 95°C for 30 s, 52°C for 1 min, and 65°C for 8 min and a final extension of 65°C for 16 min. The amplified products were analyzed by electrophoresis with 1.0% (wt/vol) agarose gels [Biowest Agarose, Spain (Origin), distributed by Shanghai Fushen Bio-Technology Co., LTD., Shanghai, China] and imaged using UVP EC3 Imaging system (UVP LLC, Upland, CA, United States). Fingerprint patterns were analyzed using BioNumerics 7.6 software, and the clustering was deduced based on the unweighted pair group with arithmetic average (UPGMA) algorithm (Xu et al., 2019).

Extraction of Extracellular and Intracellular Proteins of V. parahaemolyticus Isolates

Extracellular proteins of V. parahaemolyticus isolates were extracted according to the method described previously (He et al., 2015) with minor modifications. Briefly, growth curves of V. parahaemolyticus isolates incubated in the TSB medium (pH 8.5, 3% NaCl) at 37°C were determined using Bioscreen Automatic Growth Curve Analyzer (BioTek Instruments, Inc., Winooski, VT, United States). A 20 μL of Bacterial Protease Inhibitors Complex (Sangon) was added to each 100 mL of bacterial cell culture at midlogarithmic phase, which was then centrifuged at 6,000 g for 10 min at 4°C. The supernatant was filtered through 0.22-μm-pore-size membrane filters (Millipore, Bedford, MA, United States) to remove residual bacterial cells. The filtrate was precipitated by adding ice-cold trichloracetic acid (Sinopharm Chemical Reagent Co., Ltd., Shanghai, China) to a final concentration of 10% (vol/vol) and then incubated on ice for 5 h. The extracellular proteins were collected by centrifugation at 12,000 rpm for 30 min at 4°C. The resulting protein pellet was washed with ice-cold acetone (Sinopharm) for three times, air-dried and stored at −80°C for further analysis.

For the extraction of intracellular proteins, V. parahaemolyticus isolates were individually incubated in the TSB medium (pH 8.5, 3.0% NaCl) to late-logarithmic phase at 37°C with shaking. Bacterial cell cultures were collected as described above, and intracellular proteins were extracted using the Bacterial Protein Extraction Kit (Sangon) containing protease inhibitors, according to the manufacturer’s instructions. Protein concentration was measured using Bradford Protein Assay Kit (Sangon) with bovine serum albumin as the standard protein.

The 2D-GE Assay

The 2D-GE was performed according to the method described previously (He et al., 2015) with minor modifications. Briefly, extracellular protein pellet was dissolved with 100 μL of lysis buffer [8 M urea (Sangon), 4% (wt/vol) 3-[3-cholamidopropyldimethylammonio-1-propanesulfonate (CHAPS; Sangon), 65 mM dithiothreitol (DTT; Sangon), 0and.2% (vol/vol) Bio-Lyte 3/10 ampholyte (Bio-Rad Laboratories Inc., Hercules, CA, United States)] and then centrifuged at 12,000 rpm for 10 min at room temperature to remove undissolved residues. Isoelectric focusing was performed with the ready immobilized pH gradient gel (IPG) strips (Bio-Rad). Approximately 20 μg of extracellular proteins was diluted with the rehydration buffer [8 M urea, 4% (wt/vol) CHAPS, 65 mM DTT, 0.2% (vol/vol) Bio-Lyte 3/10 ampholyte, and 0.0001% (wt/vol) bromophenol blue (Sangon)] to a final volume of 200 μL per sample. The mixture of each sample was applied to the strips (pH 4–7, 7 cm; Bio-Rad) and passive rehydrated for 16 h at 17°C. After rehydration, IEF was run with a 6-step program: 100 V for 3 h with slow ramping; 250 V for 1 h with slow ramping; 500 V for 1 h with linear ramping; 4,000 V for 3 h with linear ramping; and 4,000 V with rapid ramping until 20,000 V-hour was reached. Following the electrophoresis in the first dimension, the strips were first equilibrated for 15 min in equilibration buffer I [6 M urea, 37.5 mM Tris-HCl (pH 8.8, Sangon), 20% glycerol (Sangon), 2% SDS (Sangon), and 2% DTT] and then washed for another 15 min with equilibration buffer II [6 M urea, 37.5 mM Tris-HCl at pH 8.8, 2% SDS, 20% glycerol, 2.5% (wt/vol) iodoacetamide (Sangon)]. The second-dimension separation was performed by SDS-PAGE. The strips were individually transferred onto 12.5% separation gel using a Mini-PROTEANW electrophoresis cell (Bio-Rad) with a 2-step program: 5 mA for 20 min, and 15 mA for 85 min.

For intracellular proteins, an aliquot of each 400 μL of protein sample was individually applied to the strips (pH 4–7, 17 cm) (Bio-Rad) and passive rehydrated for 17 h at 17°C. After rehydration, IEF was run with a 9-step program: 50, 100, 500, and 1,000 V for 1 h with slow ramping, respectively; 2,000 and 4,000 V for 1 h with linear ramping, respectively; 6,000 and 8,000 V for 1 h with rapid ramping, respectively; and 10,000 V with rapid ramping until 80,000 V-hour was reached. The strips were individually transferred onto 12.5% separation gel using PROTEAN II XL electrophoresis cell (Bio-Rad) with a 2-step program: 5 mA for 5 h and 15 mA for 6 h.

After electrophoresis, the gels were stained using Protein Stains K (Sangon), according to the manufacturer’s instructions. Silver-stained gels were scanned using GenoSens 1800 Series Gel Documentation and Analysis System (Clinx Science Instruments Co. Ltd., Shanghai, China). Protein spot detection, spot matching, and quantitative intensity analysis were performed using PDQuest Advanced-8.0.1 software (Bio-Rad).

LC-MS/MS Analysis

The LC-MS/MS analysis was carried out at HooGen Biotech, Shanghai, China. The visible and discriminative protein spots were individually excised from 2D-GE gels, and gel pieces were dried under vacuum. A 15 μL of digestion solution (25 mM ammonium bicarbonate) containing trypsin (12.5 ng/mL; Promega, Madison, WI, United States) was added to each protein spot sample tube and incubated with gentle shaking at 37°C for 16 h. The resulting peptides were identified by Q Exactive Mass Spectrometer [Thermo Fisher Scientific (TFS), Waltham, MA, United States] coupled with Easy nLC 1200 Chromatography System (TFS). The peptide mixture was loaded onto C18-reversed phase column (15 cm long, 75-μm inner diameter) packed in-house with RP-C18 5 μm resin in buffer A [0.1% formic acid (Sigma-Aldrich, St. Louis, MO, United States) in high-performance liquid chromatography–grade water] and separated with a linear gradient of buffer B [0.1% formic acid in 84% acetonitrile (Sigma-Aldrich, United States)] at a flow rate of 250 nL/min over 60 min. The collected LC-MS/MS data files were converted to Mascot generic format (mgf) and then imported into Mascot version 2.2 server (Matrix Science, London, United Kingdom) for automated peptide identification using UniProt Vibrio parahaemolyticus database (download in September 2019; 89189 sequences). The criteria for peptide matching and protein calls included enzyme: trypsin; max missed cleavage: 2; fixed modifications: carbamidomethyl (C); variable modification: oxidation (M); peptide mass tolerance: ± 20 ppm; fragment MS/MS tolerance: 0.1 Da; Mascot score: ≥20; ion score: >20; and false discovery rate: <0.01 at peptide and protein level. Common protein spots on secretomic profiles were marked with blue circles, whereas differential protein spots on secretomic and proteomic profiles were marked in red numbers. The identified proteins were subjected to Generic Gene Ontology (GO) Term Finder1 for GO analysis (Yang et al., 2015).

Preparation of Aquatic Product Matrix Media

Aquatic product matrices were prepared according to the method described by Chaitiemwong et al. (2010) with minor modifications. Briefly, 12 species of fresh aquatic products were collected in two local fish markets [Guzong road fish market (30°53′11.34″N, 121°55′3.09″E) and Luchaogang seafood market (30°51′34.47″N, 121°51′3.15″E)] in Shanghai and transferred in sterile sealed plastic bags (Nanjing Maojie Microbial Technology Co., Ltd., Nanjing, China) in an ice box (700 × 440 × 390 mm) to the laboratory in Shanghai Ocean University for analysis immediately. A 10 g (wet weight) fresh meat of each sample was aseptically placed in a homogeneous bag (Sangon) with 40 mL sterile water and homogenized for 3 min using a laboratory blender BagMixer (Shanghai Jingxin Industry Development Co., Ltd., Shanghai, China). The mixture was centrifuged at 8,000 g for 20 min, and the supernatant was filtered through 0.22-μm-pore-size membrane filters (Millipore). The filtrate of each aquatic product sample was supplemented into the TSB medium (pH 8.5, 3% NaCl) to produce corresponding aquatic product matrix medium with a final concentration of 1% (vol/vol).

Measurement of Compositions of Aquatic Product Matrices

Total protein content was measured using Bradford Protein Assay Kit (Sangon) according to the manufacturer’s instructions. Crude fat content was determined by the automated Soxhlet method described by Shin et al. (2013) with minor modifications. Briefly, a 5 mL of aquatic product matrix was individually weighed and dried in a Petri dish at 104°C for 3 h. The dried products were wiped with cotton balls moistened with petroleum ether (Shanghai Titan Scientific Co., Ltd., Shanghai, China). Crude fat on cotton balls was extracted by an automated Soxtherm Fat Extraction System (Gerhardt, Bonn, Germany) according to the manufacturer’s instructions. The extracted products remaining in a weighed beaker were dried at 104°C for 30 min and cooled in a dessicator to room temperature. Crude fat in the beakers was weighed and calculated. Carbohydrate (saccharides) content was measured by the phenol–sulfuric acid method described by Albalasmeh et al. (2013) with minor modifications. A 1 mL of each sample was mixed with 1 mL of 5% (wt/wt) aqueous solution of redistilled phenol (Shanghai Macklin Biochemical Co., Ltd., Shanghai, China) in a glass tube (Φ15 mm, 150 mm). A 5 mL of sulfuric acid (95–98%; Shanghai Kuling Fine Chemical Co., Ltd., Shanghai, China) was added into the mixture and then incubated in a boiling water bath for 20 min. After cooling in ice for 2 min and at room temperature for 15 min, the absorption of the reaction mixture at 490 nm was measured using BioTek Synergy 2. Carbohydrate concentration was calculated according to a standard curve prepared with glucose (Sinopharm).

Reverse Transcription–PCR Assay

The reverse transcription (RT)–PCR assay was performed according to the method described by Zhu et al. (2017). Briefly, total RNA was extracted using RNeasy Mini Kit (Qiagen, Hilden, Germany) following the manufacturer’s instructions. The DNA was removed from the samples with the RNase-Free DNase Set (Qiagen). The RT reactions were performed using PrimeScriptTM RT reagent Kit with gDNA Eraser [Takara Biomedical Technology (Beijing) Co., Ltd., Beijing, China]. Relative quantitative PCRs were performed using TB Green® Premix Ex TaqTM II kit (Tli RNaseH Plus, Beijing, China) according to the manufacturer’s instructions. All RT-PCRs were carried out in a 7500 Fast Real-Time PCR System (Applied Biosystems, Foster City, CA, United States) under the following conditions: initial denaturation at 50°C for 2 min and at 95°C for 10 min, followed by 40 cycles of denaturation at 95°C for 15 s and primer annealing at 60°C for 1 min. The 16S RNA was used as the internal reference gene as described previously. The primers (Supplementary Table S1) were designed by Premier 5.0 software2 and synthesized by Sangon (Shanghai, China). In a 20 μL of RT-PCR solution, 1,000, 200, 20, 2, 0.2, and 0.0 ng of cDNA template was individually added for standard curve preparation. The PCR efficiency was 90.0–100.0%, and r2 > 0.980 for the primers. All tests were performed in triplicate in this study.

Results

Genetic Diversity of the V. parahaemolyticus Isolates Recovered From 12 Species of Aquatic Products

The V. parahaemolyticus isolates used in this study were recovered from 12 species of commonly consumed aquatic products, including eight shellfish, two crustaceans, and two fish (Table 1). All the isolates were negative for the toxin genes (tdh and trh), but resistant to three antimicrobial agents, including rifampin (RIF), ampicillin (AMP), and streptomycin (STR). Approximately 75% (9/12) and 42% (5/12) of the V. parahaemolyticus isolates were also resistant to kanamycin (KAN) and tetracycline (TET), respectively. Additionally, different heavy metal tolerance profiles of the V. parahaemolyticus isolates were observed. Remarkably, V. parahaemolyticus CHN-N3-2 isolate recovered from the shellfish P. undulate had tolerance to five heavy metals Cd2+, Cu2+, Hg2+, Pb2+, and Zn2+. The heavy metal tolerance trend of the 12 V. parahaemolyticus isolates was Hg2+ = Zn2+ > Cd2+ > Cu2+ > Cr3+ > Pb2+ (Table 1).

Evolutionary relatedness of the V. parahaemolyticus strains was examined by the ERIC-PCR assay. This analysis revealed that all the tested strains were classified into 14 different ERIC genotypes, and the UPGMA algorithm grouped the ERIC genotypes into five distinct clusters (Clusters A–E) (Figure 1). Vibrio parahaemolyticus ATCC33847 (tdh+ trh) and ATCC17802 (tdh trh+) strains of clinical origin fell into Cluster B, whereas the remaining of aquatic product origins fell into Clusters A, C, D, and E. Vibrio parahaemolyticus isolates recovered from three shellfish (O. gigas thunberg, P. undulate, and S. constricta), two crustaceans (L. vannamei and O. oratoria), and two fish (A. nobilis and C. idellus) were grouped into the largest Cluster D with 7 ERIC genotypes, whereas Cluster A contained only the V. parahaemolyticus CHN-N3-2 isolate that had tolerance to 4 antimicrobial agents and 5 heavy metals. The Hg and AMP/KAN/RIF/STR resistance profile was the most predominant among the strains tested (Figure 1). These results demonstrated genetic diversity of the V. parahaemolyticus isolates recovered from the 12 species of commonly consumed aquatic products.

FIGURE 1.

FIGURE 1

The ERIC-PCR fingerprinting profiles of the V. parahaemolyticus strains.

Distinct Secretomic Profiles of the V. parahaemolyticus Isolates

The supernatant of the V. parahaemolyticus cultures at midlogarithmic phases was collected, and extracellular proteins were extracted and analyzed by 2D-GE. This analysis uncovered distinct secretomic profiles of the 12 V. parahaemolyticus isolates of various aquatic product origins (Figure 2). The patterns yielded from three independent 2D-GE gels of each isolate were consistent (figures not shown). Based on the consensus patterns, 11 extracellular protein spots (marked with blue circles, Figure 2) were observed at similar locations on all the 2D-GE patterns derived from the 12 V. parahaemolyticus isolates. Notably, the V. parahaemolyticus CHN-B2-28 isolate recovered from R. philippinarum appeared to secret more extracellular proteins (35) than the other isolates (17–30). Additionally, a total of 28 differential extracellular proteins (marked with different numbers in red, Figure 2) were found from the distinct secretomic profiles. All common protein spots and the remaining differential protein spots among the 12 V. parahaemolyticus isolates were excised from the 2D-GE gels and digested with the trypsin. The resulting peptides were further identified by the LC-MS/MS analysis.

FIGURE 2.

FIGURE 2

The secretomic profiles of the 12 V. parahaemolyticus isolates by the 2D-GE analysis. (A–L) V. parahaemolyticus CHN-B2-28, CHN-B5-29, CHN-B6-62, CHN-B8-26, CHN-N3-2, CHN-N4-18, CHN-N8-5, CHN-N10-18, CHN-N1-56, CHN-N2-5, CHN-L7-40, and CHN-Q5-1 isolates, respectively. The common protein spots marked with blue circles and the differential protein spots marked with different numbers in red were characterized by the LC-MS/MS analysis. pI, isoelectric point.

Identification of Common and Differential Extracellular Proteins of the V. parahaemolyticus Isolates

In this study, the LC-MS/MS technique was used to identify all common and differential extracellular proteins of the V. parahaemolyticus isolates. Based on the secretomic profiles, 11 common extracellular proteins shared among the 12 isolates were successfully obtained (Table 2). Of these proteins, the majority (n = 7) were cell membrane and periplasm components, including TolC protein (Spot a), maltoporin (Spot b), maltodextrin-binding protein (Spot d), putrescine-binding periplasmic protein (Spot f), gram-negative porin family protein (Spot h), outer membrane protein W (OmpW, Spot j), and basal-body rod modification protein FlgD (Spot i). For the others (n = 4), the Spot c was identified as elongation factor Tu (EF-Tu). Spot e was phosphoglucosamine mutase (PNGM) involved in carbohydrate metabolism and peptidoglycan biosynthetic pathway, whereas Spot g was fructose-bisphosphate aldolase that also acts as a transcriptional regulator in pathogenic Francisella (Ziveri et al., 2017). Additionally, the Spot k matched an uncharacterized protein encoded by the H320_01320 gene of V. parahaemolyticus 49 strain (GenBank: AONA00000000.1) with currently unknown function in public databases (Table 2).

TABLE 2.

Identification of the common protein spots on the secretomic profiles of the 12 V. parahaemolyticus isolates by LC-MS/MS analysis.

Protein spot no. Uniprot no. Protein Gene MW (Da) pI Sequence coverage (%) Putative function
a A6B7I5 TolC protein A79_3452 47,982.46 4.72 32.13 Efflux transmembrane transporter activity, outer membrane
b A0A2R9VS99 Maltoporin lamB 46,237.27 4.54 29.55 Maltodextrin transmembrane transporter activity, maltose transporting porin activity, ion transport, cell outer membrane
c A0A0M9CAT1 Elongation factor Tu tuf 43,151.54 4.8 11.17 GTPase activity, GTP binding, translation elongation factor activity, cytoplasm
d S5IUW0 Maltodextrin-binding protein malE 42,126.25 4.84 41.07 Carbohydrate transmembrane transporter activity, periplasm
e Z2EVN8 Phosphoglucosamine mutase glmM 39,259.29 4.74 14.17 Magnesium ion binding, phosphoglucosamine mutase activity, carbohydrate metabolic process
f A0A0D1FMZ9 Putrescine-binding periplasmic protein potD 39,016.78 4.63 29.57 Polyamine binding, polyamine transport, periplasm
g S5ISY4 Fructose-bisphosphate aldolase M634_15410 38,880.23 4.7 11.45 Fructose-bisphosphate aldolase activity, zinc ion binding, glycolytic process
h Z2EPJ8 Gram-negative porin family protein D046_2206 36,284.98 4.25 18.69 Porin activity, membrane
i Q79YY9 Basal-body rod modification protein FlgD VP0777 24,895.75 4.75 54.47 Bacterial-type flagellum organization, cell projection, cilium, flagellum
j S5J784 Outer membrane protein W M634_18560 23,467.38 4.98 14.02 Outer membrane
k A0A0D1ER15 Uncharacterized protein H320_01320 19,780.83 4.93 29.83 —*

*—, not detected.

A total of 28 differential extracellular proteins were also successfully identified and listed in Table 3. The metabolism-related proteins (n = 7) constituted the largest proportion of the identified proteins, including three glycolysis-related proteins: enolase (Spot S2), phosphofructokinase (PFK) (Spot S6), and glyceraldehyde-3-phosphate dehydrogenase (GAPDH, Spot S13); one carbohydrate metabolism-related protein: transaldolase (Spot S5); one protein catabolism-related protein: ATP-dependent zinc metalloprotease (FtsH, Spot S10); one tricarboxylic acid cycle-related protein: succinate dehydrogenase iron–sulfur subunit (SDISS, Spot S17); and one polyphosphate metabolism-related protein: inorganic pyrophosphatase (PPase, Spot S25). Moreover, five differential extracellular proteins were involved in amino acid and nucleotide biosynthesis. For example, Spots S3, S11, and S22 were identified as 4-hydroxy-tetrahydrodipicolinate synthase (DHDPS), aspartate-semialdehyde dehydrogenase (ASD), and elongation factor Ts (EF-Ts) in amino acid biosynthesis, respectively, whereas Spots S1 and S9 were adenylosuccinate synthetase (AdSS) and ribose-phosphate pyrophosphokinase in nucleotide biosynthesis, respectively. Notably, two bacterial flagellin structural proteins were identified, including flagellin C (Spot S7) and polar flagellin B/D (Spot S8). In addition, Spot S27 matched an uncharacterized protein encoded by the E4P16_05165 gene of V. parahaemolyticus MAVP-R strain (GenBank: CP022553.2).

TABLE 3.

Identification of the differential protein spots on the secretomic profiles of the 12 V. parahaemolyticus isolates by LC-MS/MS analysis.

Protein spot no. Uniprot no. Protein Gene MW (Da) pI Sequence coverage (%) Putative function
S1 A0A0D8WTD1 Adenylosuccinate synthetase purA 45,652.88 4.83 12.44 Adenylosuccinate synthase activity, GTP binding, magnesium ion binding, AMP biosynthetic process, cytoplasm
S2 Z2ECU7 Enolase eno 45,561.11 4.84 25.64 Magnesium ion binding, phosphopyruvate hydratase activity, glycolytic process, cytoplasm, secreted, cell surface, extracellular region, phosphopyruvate hydratase complex
S3 A0A0M9C0M8 4-Hydroxy-tetrahydrodipicolinate synthase dapA 31,256.2 4.71 22.26 4-Hydroxy-tetrahydrodipicolinate synthase activity, diaminopimelate biosynthetic process, lysine biosynthetic process via diaminopimelate, cytoplasm
S4 A0A0D1E7V7 Thioredoxin reductase H320_01355 34,458.4 4.8 19.75 Thioredoxin-disulfide reductase activity, removal of superoxide radicals, cytoplasm
S5 A0A0D1EJC9 Transaldolase tal 34,805.45 4.86 17.09 Sedoheptulose-7-phosphate: D-glyceraldehyde-3-phosphate glyceronetransferase activity, carbohydrate metabolic process, pentose-phosphate shunt, cytoplasm
S6 S5ITG7 Phosphofructokinase fruK 34,822.23 4.99 9.88 1-Phosphofructokinase activity, ATP binding
S7 A0A0D1EZB6 Flagellin C H334_00575 39,848.5 4.86 39.63 Structural molecule activity, bacterial-type flagellum-dependent cell motility
S8 Q56702 Polar flagellin B/D flaB 40,172.91 4.89 43.12 Structural molecule activity, bacterial-type flagellum-dependent cell motility
S9 A0A0M9CAE5 Ribose-phosphate pyrophosphokinase prs 33,916.46 5.16 12.74 ATP binding, kinase activity, magnesium ion binding, ribose phosphate diphosphokinase activity, 5-phosphoribose 1-diphosphate biosynthetic process, nucleoside metabolic process, nucleotide biosynthetic process, ribonucleoside monophosphate biosynthetic process
S10 A0A0D1UWT7 ATP-dependent zinc metalloprotease FtsH hflB 72,648.12 5.11 5.61 ATPase activity, ATP binding, metalloendopeptidase activity, zinc ion binding, protein catabolic process
S11 A0A072K9I6 Aspartate-semialdehyde dehydrogenase asd 40,210.86 5.29 4.58 Aspartate-semialdehyde dehydrogenase activity, NADP binding, de novo L-methionine biosynthetic process, diaminopimelate biosynthetic process, lysine biosynthetic process via diaminopimelate, threonine biosynthetic process
S12 A0A0L8RX62 Glycine/betaine ABC TSBP WR32_14495 34,236.49 5.6 24.36 Choline binding, transmembrane transporter activity, choline transport, ATP-binding cassette (ABC) transporter complex, periplasmic space
S13 Z2F2I8 Glyceraldehyde-3-phosphate dehydrogenase D046_0544 35,225.62 5.26 25.38 NAD binding, NADP binding, oxidoreductase activity, acting on the aldehyde or oxo group of donors, NAD or NADP as acceptor
S14 A0A4Q9JZC8 Choline ABC TSBP D5E78_23820 34,357.45 5.06 33.33 Choline binding, transmembrane transporter activity, periplasm
S15 A0A0D1FHL7 D-Ribose ABC TSBP H323_16900 30,690.84 4.98 62.67 Hydrolase activity, kinase activity
S16 A6AZB7 D-Ribose-binding periplasmic protein A79_4530 30,676.77 4.91 65.07 ATPase-coupled monosaccharide transmembrane transporter activity, hydrolase activity
S17 A0A0D1F2I1 Succinate dehydrogenase iron–sulfur subunit H323_04040 27,500.27 4.94 31.30 2 Iron, 2 sulfur cluster binding, 3 iron, 4 sulfur cluster binding, 4 iron, 4 sulfur cluster binding, electron transfer activity, metal ion binding, succinate dehydrogenase (ubiquinone) activity, tricarboxylic acid cycle
S18 A0A0L7Z6L0 Arginine ABC TSBP ACS91_16450 27,341.39 4.82 10.93 Ligand-gated ion channel activity, nitrogen compound transport, membrane, outer membrane-bounded periplasmic space
S19 A0A0L7YZR8 Cytochrome C ACS91_10120 14,421.19 4.57 25.55 Electron transfer activity, heme binding, iron ion binding
S20 A0A0D1ELJ0 L-Ectoine synthase ectC 14,752.49 4.94 18.75 Ectoine synthase activity
S21 A0A0D1G7K7 DNA starvation/stationary phase protection protein H320_14130 18,275.43 5.07 22.01 Ferric iron binding, oxidoreductase activity, oxidizing metal ions, cellular iron ion homeostasis, cell
S22 Q87MD9 Elongation factor Ts tsf 29,773.89 5.18 13.17 Translation elongation factor activity, cytoplasm
S23 A0A2R9VKF8 Outer membrane lipoprotein carrier protein lolA 23,437.09 5.37 22.60 Lipoprotein localization to outer membrane, lipoprotein transport, periplasmic
S24 Q87TM1 Peptide ABC TPPBP VP0048 57,448.81 5.96 4.45 Transmembrane transport
S25 Z2ED59 Inorganic pyrophosphatase ppa 19,644.14 4.82 48.30 Inorganic diphosphatase activity, magnesium ion binding, phosphate-containing compound metabolic process, cytoplasm
S26 A0A072IV06 Superoxide dismutase sodB 21,540.77 4.95 13.40 Metal ion binding, superoxide dismutase activity
S27 A0A4S3TGP2 Uncharacterized protein E4P16_05165 31,030.6 4.65 16.78 —*
S28 A0A072LHX1 Nitrogen regulatory protein P-II ACS91_04985 12,471.24 4.87 42.86 Enzyme regulator activity, regulation of nitrogen utilization

*—, not detected.

Interestingly, five differential extracellular proteins were identified as ATP-binding cassette (ABC) transporters that constitute one of the largest families of membrane proteins (Theodoulou and Kerr, 2015), including glycine/betaine ABC transporter substrate-binding protein (TSBP) (Spot S12), choline ABC TSBP (Spot S14), D-ribose ABC TSBP (Spot S15), arginine ABC TSBP (Spot S18), and peptide ABC transporter periplasmic peptide-binding protein (TPPBP) (Spot S24). Moreover, the Spot S16 was D-ribose-binding periplasmic protein that has ATPase-coupled monosaccharide transmembrane transporter activity, whereas Spot S23 matched outer membrane lipoprotein carrier protein.

Remarkably, in this study, several identified extracellular proteins of the V. parahaemolyticus isolates have been reported to be involved in bacterial pathogenesis, including Spots a, b, c, S2, S5, S7, S8, and S26. The former three proteins TolC (Spot a), maltoporin (Spot b), and EF-Tu (Spot c) were secreted by all the isolates, and more than half of the isolates also secreted the enolase (Spot S2) and transaldolase (Spot S5). In contrast, only a few isolates secreted the flagellin C (Spot S7), polar flagellin B/D (Spot S8), and superoxide dismutase (Spot S26). For instance, the latter was only observed on the secretomic profiles derived from the CHN-B5-29 and CHN-B6-62 isolates recovered from P. magellanicus and S. constricta, respectively. Among all the V. parahaemolyticus isolates of aquatic product origins, the CHN-B2-28 isolate from R. philippinarum appeared to secret most of the extracellular virulence-associated proteins compared to the other isolates.

Secretomic Comparison of the V. parahaemolyticus Isolates From Three Kinds of Aquatic Products

The secretomic profiles derived from the V. parahaemolyticus isolates of the shellfish, crustaceans, and fish origins were different. For instance, there were 14 common and 14 differential extracellular proteins identified from the secretomic profiles of the V. parahaemolyticus CHN-B2-28, CHN-B5-29, CHN-B6-62, CHN-B8-26, CHN-N3-2, CHN-N4-18, CHN-N8-5, and CHN-N10-18 isolates recovered from the eight species of shellfish (Figures 2A–H). Significantly, there were six extracellular proteins appeared only on the secretomic profile of the shellfish origin, including the polar flagellin B/D (Spot S8), glycine/betaine ABC TSBP (Spot S12), GAPDH (Spot S13), D-ribose-binding periplasmic protein (Spot S16), superoxide dismutase (Spot S26), and an uncharacterized protein (Spot S27) (Table 3).

Comparison of the secretomic profiles of the V. parahaemolyticus isolates from two crustaceans revealed that the V. parahaemolyticus CHN-N2-5 isolate recovered from L. vannamei secreted more abundant proteins than the CHN-N1-56 isolate from O. oratoria (Figures 2I,J). A total of 16 common and 12 differential extracellular proteins on the secretomic profiles of these two isolates were identified. Spots S1, S2, S4, and S25, identified as AdSS, enolase, thioredoxin reductase (TrxR), and PPase, respectively, were secreted only by the CHN-N1-56 isolate, whereas eight proteins were secreted by the CHN-N2-5 isolate, including the DHDPS (Spot S3), D-ribose ABC TSBP (Spot S15), SDISS (Spot S17), cytochrome C (Spot S19), L-ectoine synthase (Spot S20), DNA starvation/stationary phase protection protein (Spot S21), peptide ABC TPPBP (Spot S24), and nitrogen regulatory protein P-II (Spot S28).

The numbers of extracellular proteins secreted by the V. parahaemolyticus CHN-L7-40 and CHN-Q5-1 isolates of the fish origin were similar. A total of 26 common and five differential extracellular proteins on the secretomic profiles of these two isolates were identified. For instance, Spots S9 and S18, identified as ribose-phosphate pyrophosphokinase and arginine ABC TSBP, respectively, were shown only on the secretomic profile of the CHN-L7-40 isolate from A. nobilis (Figure 2K), whereas Spots S2, S10, and S25, identified as enolase, ATP-dependent zinc metalloprotease FtsH, and PPase, respectively, were secreted only by the CHN-Q5-1 isolate from C. idellus (Figure 2L).

Secretomic Comparison of the V. parahaemolyticus Isolates With Pathogenic Reference Strains

The secretomic profiles of the V. parahaemolyticus ATCC33847 and ATCC17802 strains of clinical origin were also obtained for comparative secretomic analysis, although they have been reported in our prior research (He et al., 2015). One interesting observation was that the toxic ATCC33847 and ATCC17802 strains appeared to secret more extracellular proteins (59–62) than the V. parahaemolyticus isolates recovered from the 12 species of aquatic products (17–35), consistent with our prior results (He et al., 2015). Comparative secretomic analysis revealed that approximately 36.4% (4/11) of the common and 42.9% (12/28) of the differential extracellular proteins secreted by the 12 V. parahaemolyticus isolates were observed at similar locations on the secretomic profiles of the ATCC33847 and the ATCC17802 strains (Supplementary Figure S1). For instance, four extracellular proteins secreted by all the V. parahaemolyticus strains of aquatic product and clinical origins included the maltoporin (Spot b), EF-Tu (Spot c), maltodextrin-binding protein (Spot d), and PNGM (Spot e).

Distinct Proteomic Profiles of the V. parahaemolyticus Isolates

The 2D-GE and LC-MS/MS techniques were also used to analyze proteomics of the V. parahaemolyticus isolates recovered from the 12 species of aquatic products, and the obtained proteomic profiles are presented in Figure 3. The patterns yielded from three independent 2D-GE gels of each isolate were consistent (figures not shown). This analysis also revealed distinct proteomic profiles showing various visible differential protein spots (343–312) among the 12 V. parahaemolyticus isolates (Figures 3A–L). The V. parahaemolyticus CHN-N4-18 isolate recovered from P. viridis appeared to express the highest number of intracellular proteins (343) among all the isolates (Figure 3F). In contrast, approximately 312 intracellular proteins were observed from the proteomic profile of the CHN-B8-26 isolate from S. strictus (Figure 3D). Notably, for the crustaceans origin, the CHN-N1-56 isolate from L. vannamei expressed much more intracellular proteins (342, Figure 3I) than the CHN-N2-5 isolate from O. oratoria (314, Figure 3J).

FIGURE 3.

FIGURE 3

The proteomic profiles of the 12 V. parahaemolyticus isolates by the 2D-GE analysis. (A–L) V. parahaemolyticus CHN-B2-28, CHN-B5-29, CHN-B6-62, CHN-B8-26, CHN-N3-2, CHN-N4-18, CHN-N8-5, CHN-N10-18, CHN-N1-56, CHN-N2-5, CHN-L7-40, and CHN-Q5-1, respectively. The differential intracellular protein spots marked with red numbers were characterized by the LC-MS/MS analysis. pI, isoelectric point.

Identification of Differential Intracellular Proteins of the V. parahaemolyticus Isolates

Differential intracellular proteins of the 12 V. parahaemolyticus isolates were identified by LC-MS/MS analysis and summarized in Table 4. A total of 97 protein sequences were obtained and classified into three major GO categories in the GO database, including the biological process, cellular component, and molecular function (Supplementary Figure S2). Given that multiple biological functions could be assigned for single identified protein, the most abundant GO term was the catalytic activity (72.2%, 70/97), followed by the binding (58.8%, 57/97), cellular process (46.4%, 45/97), and metabolic process (46.4%, 45/97). The opposite patterns were cellular component organization or biogenesis (2.1%, 2/97), signaling (2.1%, 2/97), molecular function regulator (2.1%, 2/97), electron carrier activity (2.1%, 2/97), antioxidant activity (1.0%, 1/97), and multiorganism process (1.0%, 1/97) (Supplementary Figure S2A).

TABLE 4.

Identification of the differential protein spots on the proteomic profiles of the 12 V. parahaemolyticus isolates by LC-MS/MS analysis.

Protein spot no. Uniprot no. Protein Gene MW (Da) pI Sequence coverage (%) Putative function
P1 Q87MW0 Aldehyde-alcohol dehydrogenase VP2121 97,121.96 5.73 26.78 Acetaldehyde dehydrogenase (acetylating) activity, alcohol dehydrogenase (NAD+) activity, metal ion binding, alcohol metabolic process, carbon utilization
P2 S5J2K3 Peptide ABC TSBP M634_12650 63,520.87 5.35 3.70 Transmembrane transport, ATP-binding cassette (ABC) transporter complex
P3 A0A249W792 Urocanate hydratase hutU 61,866.37 5.36 16.28 Urocanate hydratase activity, histidine catabolic process to glutamate and formamide, cytoplasm
P4 S5J1K8 Acetylornithine aminotransferase argD 43,361.13 5.54 22.08 N2-acetyl-L-ornithine:2-oxoglutarate 5-aminotransferase activity, pyridoxal phosphate binding, arginine biosynthetic process, cytoplasm
P5 A0A0D1EDK5 Maltose/maltodextrin import ATP-binding protein MalK malK 41,156.69 5.54 7.53 ATPase activity, ATPase-coupled maltose transmembrane transporter activity, ATP binding, cell membrane
P6 S5IWV0 3-Ketoacyl-CoA thiolase M634_20530 41,688.1 5.2 33.25 Transferase activity, transferring acyl groups other than amino-acyl groups
P7 A0A4Q9K4T4 Aspartate-semialdehyde dehydrogenase asd 40,284.89 5.2 29.11 Aspartate-semialdehyde dehydrogenase activity, NADP binding, de novo L-methionine biosynthetic process, diaminopimelate biosynthetic process, lysine biosynthetic process via diaminopimelate, threonine biosynthetic process
P8 A0A249W9I8 Fructose-1,6-bisphosphatase glpX 35,981.09 4.95 12.84 Fructose 1,6-bisphosphate 1-phosphatase activity, metal ion binding, gluconeogenesis, glycerol metabolic process
P9 Q87L48 Putative malate oxidoreductase VP2767 46,163.47 4.92 26.82 Malate dehydrogenase (decarboxylating) (NAD+) activity, metal ion binding, NAD binding
P10 A6B3V5 Phosphopentomutase deoB 44,096.96 4.85 25.62 Magnesium ion binding, manganese ion binding, phosphopentomutase activity, 5-phosphoribose 1-diphosphate biosynthetic process, cellular metabolic compound salvage, deoxyribonucleotide catabolic process, cytoplasm
P11 S5J1H6 Elongation factor Tu tuf 43,151.54 4.8 45.43 GTPase activity, GTP binding, translation elongation factor activity, cytoplasm
P12 A0A242UZI1 Glycerol dehydrogenase gldA 38,468.69 5.05 30.56 Metal ion binding, xidoreductase activity, acting on CH-OH group of donors
P13 A0A0M9C662 Delta-aminolevulinic acid dehydratase ACX03_14425 39,275.34 5.07 16.43 Metal ion binding, porphobilinogen synthase activity, porphyrin-containing compound biosynthetic process
P14 A0A0D1DR13 Membrane protein H323_04870 35,567.09 4.42 19.38 Integral component of membrane, cell outer membrane
P15 A0A4S3T4K4 OmpA family protein E4P16_23225 34,100.43 4.48 21.63 Membrane
P16 S5ITG7 Phosphofructokinaseompa fruK 34,822.23 4.99 10.80 1-phosphofructokinase activity, ATP binding
P17 A0A4V2JS07 Succinylglutamate desuccinylase D5E78_01560 38,764.47 5.39 16.37 Hydrolase activity, acting on ester bonds, succinylglutamate desuccinylase activity, zinc ion binding, arginine catabolic process to glutamate, arginine catabolic process to succinate
P18 Q87J46 Dihydroorotase pyrC 37,828.45 5.56 2.63 Dihydroorotase activity, zinc ion binding, pyrimidine nucleobase biosynthetic process, de novo UMP biosynthetic process
P19 A0A2R9VMU2 Iron–sulfur cluster carrier protein C1S91_13180 38,959.17 5.76 3.07 ATPase activity, ATP binding, iron–sulfur cluster binding, metal ion binding
P20 Q87MD9 Elongation factor Ts tsf 29,773.89 5.18 14.23 Translation elongation factor activity, cytoplasm
P21 A0A0D1E4M2 5′-Nucleotidase SurE surE 28,160.44 5.15 20.54 5′-nucleotidase activity, metal ion binding, nucleotide binding, cytoplasm
P22 S5J245 FMN reductase fre 26,423.66 5.09 8.86 Aquacobalamin reductase activity
P23 Q87S44 Antioxidant, AhpC/Tsa family VP0580 22,236.94 5.03 18.72 Peroxiredoxin activity, cell redox homeostasis, cell
P24 S5J412 Endoribonuclease L-PSP M634_15815 13,800.57 4.83 33.33 —*
P25 A6B8W0 Autonomous glycyl radical cofactor grcA 13,928.45 4.71 37.60 Catalytic activity
P26 A0A075BND0 Membrane protein ompW 23,224.04 4.85 17.76 Outer membrane
P27 Z2E3N3 Peptidyl-prolyl cis-trans isomerase fkpA 28,267.52 4.74 33.08 Peptidyl-prolyl cis-trans isomerase activity, protein folding
P28 A6B9Y8 Triosephosphate isomerase tpiA 26,990.12 4.68 10.16 Triose-phosphate isomerase activity, gluconeogenesis, glycolytic process, cytoplasm
P29 A0A2R9VI74 Ribokinase rbsK 32,241.19 4.58 17.38 ATP binding, metal ion binding, ribokinase activity, D-ribose catabolic process, cytoplasm
P30 Q87MS3 Putative glucose-6-phosphate 1-epimerase VP2158 32,318.19 4.65 12.59 Carbohydrate binding, glucose-6-phosphate 1-epimerase activity, carbohydrate metabolic process
P31 A0A0N0CCK1 Glucose-6-phosphate isomerase pgi 60,971.03 5.25 12.00 Glucose-6-phosphate isomerase activity, gluconeogenesis, glycolytic process, cytoplasm
P32 A0A0D1F327 Glycerol-3-phosphate dehydrogenase glpD 59,074.41 6.1 3.24 Sn-glycerol-3-phosphate:ubiquinone-8 oxidoreductase activity, glycerol-3-phosphate metabolic process, glycerol-3-phosphate dehydrogenase complex
P33 Z2EV38 Periplasmic serine endoprotease DegP-like D046_1401 43,894.46 6.2 22.28 Serine-type endopeptidase activity, periplasm
P34 Q87H06 GMP reductase guaC 37,288.16 6.16 15.80 GMP reductase activity, metal ion binding, purine nucleotide metabolic process, GMP reductase complex
P35 A6BA54 Tyrosine–tRNA ligase tyrS 44,069.21 5.44 11.39 ATP binding, RNA binding, tyrosine-tRNA ligase activity, tyrosyl-tRNA aminoacylation, cytoplasm
P36 Q87RK0 Phosphoenolpyruvate-protein phosphotransferase VP0794 63,191.46 4.65 16.03 Kinase activity, metal ion binding, phosphoenolpyruvate-protein phosphotransferase activity, phosphoenolpyruvate-dependent sugar phosphotransferase system, cytoplasm
P37 A0A0M9C8I8 Fructose-bisphosphate aldolase ACX03_06815 38,717.1 4.75 25.98 Fructose–bisphosphate aldolase activity, zinc ion binding, glycolytic process
P38 Q87MI6 Succinyl-diaminopimelate desuccinylase dapE 41,037.76 4.75 4.76 Cobalt ion binding, metallopeptidase activity, succinyl-diaminopimelate desuccinylase activity, zinc ion binding, diaminopimelate biosynthetic process, lysine biosynthetic process via diaminopimelate
P39 A0A072KPG4 Succinate–CoA ligase [ADP-forming] subunit β sucC 41,569.02 4.9 12.37 ATP binding, magnesium ion binding, succinate-CoA ligase (ADP-forming) activity, tricarboxylic acid cycle
P40 A0A072HGI4 Glyceraldehyde-3-phosphate dehydrogenase gap 35,225.62 5.26 22.36 NAD binding, NADP binding, oxidoreductase activity, acting on the aldehyde or oxo group of donors, NAD or NADP as acceptor, glucose metabolic process
P41 A0A0L8T664 YicC family protein C1S91_15255 33,216.67 5.31 12.15 —*
P42 A0A0D1FV70 Oxidoreductase H320_23485 33,964.2 5.43 25.17 —*
P43 A0A0L8TW88 Threonine aldolase WR32_14980 36,107.79 5.33 11.08 Lyase activity, cellular amino acid metabolic process
P44 A0A072K606 DNA-binding response regulator arcA 27,034.39 5.4 12.61 DNA binding, phosphorelay signal transduction system, regulation of transcription, DNA-templated
P45 A0A0D1FP64 OmpR protein ompR 27,362.26 5.79 7.95 DNA binding, phosphorelay signal transduction system, regulation of transcription, DNA-templated
P46 A6B711 Cytochrome c oxidase, Cbb3-type, subunit II ccoO 23,607.48 5.41 14.56 Cytochrome-c oxidase activity, heme binding, metal ion binding, integral component of membrane
P47 A0A2S1MIM9 Azurin azu 15,858.76 5.21 24.00 Copper ion binding, electron transfer activity, periplasmic space
P48 Q87RS3 Lipoprotein VP0704 29,069.66 4.83 11.90 —*
P49 Z2EMT8 Proline dehydrogenase domain protein putA 25,474.35 4.91 5.11 Oxidoreductase activity
P50 A0A0D1GLI3 Cytidylate kinase cmk 24,486.65 4.94 30.97 ATP binding, cytidylate kinase activity, pyrimidine nucleotide metabolic process, cytoplasm
P51 Q87LS4 S-ribosylhomocysteine lyase luxS 19,033.54 4.97 37.21 Iron ion binding, S-ribosylhomocysteine lyase activity, quorum sensing
P52 A0A242V2G1 tRNA-binding protein BA740_07020 12,307.12 4.89 25.45 tRNA binding
P53 Q87Q72 Putative SpoOM-related protein VP1278 27,288.79 4.88 17.41 —*
P54 A6B9V7 ATP-dependent metallopeptidase HflB hflB 28,787.85 4.86 5.86 ATP binding, metalloendopeptidase activity
P55 A0A0L7YPB2 Dihydrodipicolinate synthase ACS91_24330 33,972.53 4.73 5.26 Lyase activity
P56 A0A0D1EQH0 Diaminopimelate decarboxylase lysA 45,889.47 5.01 7.91 Diaminopimelate decarboxylase activity, pyridoxal phosphate binding, lysine biosynthetic process via diaminopimelate
P57 A0A0F2ICT7 Cysteine desulfurase IscS iscS 44,994.75 5.59 18.81 2 iron, 2 sulfur cluster binding, cysteine desulfurase activity, metal ion binding, pyridoxal phosphate binding, [2Fe–2S] cluster assembly, cytoplasm
P58 S5IT22 Aminotransferase M634_11710 43,311.68 5.1 20.20 Pyridoxal phosphate binding, transaminase activity, biosynthetic process, cellular amino acid metabolic process
P59 A0A4S3T6U8 Phosphoenolpyruvate carboxylase E4P16_18525 99,302.21 5.42 14.03 Magnesium ion binding, phosphoenolpyruvate carboxylase activity, carbon fixation, oxaloacetate metabolic process
P60 A0A072JVB5 Chaperone protein ClpB clpB 95,871.32 5.31 32.44 ATP binding, protein metabolic process, protein refolding, response to heat, cytoplasm
P61 A0A249W7T3 Formate acetyltransferase pflB 84,535.06 5.25 19.26 Formate C-acetyltransferase activity, carbohydrate metabolic process, cytoplasm
P62 S5JB57 4-Alpha-glucanotransferase M634_17555 81,840.77 5.33 12.40 4-Alpha-glucanotransferase activity, β-maltose 4-alpha-glucanotransferase activity
P63 A0A0D1EM30 S-adenosylmethionine synthase metK 41,990.15 5 20.57 ATP binding, magnesium ion binding, methionine adenosyltransferase activity, one-carbon metabolic process, S-adenosylmethionine biosynthetic process, cytoplasm
P64 A6B6D3 D-Erythrose-4-phosphate dehydrogenase epd 38,248.9 5.91 8.41 Erythrose-4-phosphate dehydrogenase activity, NAD binding, pyridoxal phosphate biosynthetic process, cytoplasm
P65 A0A0D1GED2 Fructose-bisphosphate aldolase H334_10810 38,880.23 4.7 32.96 Fructose-bisphosphate aldolase activity, zinc ion binding, glycolytic process
P66 A6B2R4 Thiamin pyrophospate-binding protein thiB 36,582.97 4.88 5.45 Thiamine binding, thiamine transport, outer membrane-bounded periplasmic space
P67 A0A072I475 3-Oxoacyl-ACP synthase ACS91_26270 42,617.75 4.95 14.14 3-Oxoacyl-[acyl-carrier-protein] synthase activity
P68 A0A0D1D1P9 DNA-directed RNA polymerase subunit alpha rpoA 36,472.05 4.78 5.15 DNA binding, DNA-directed 5′-3′ RNA polymerase activity, protein dimerization activity, transcription, DNA-templated, DNA-directed RNA polymerase
P69 Z2ESY3 Outer membrane β-barrel domain protein D046_2887 25,508.96 4.51 10.00 Cell outer membrane, integral component of membrane
P70 A0A0D1GU29 OmpW H334_14550 23,240.1 4.85 17.76 Outer membrane
P71 Q87SD2 Putative 4-hydroxy-4-methyl-2-oxoglutarate aldolase VP0492 17,708.02 4.96 21.88 4-Hydroxy-4-methyl-2-oxoglutarate aldolase activity, metal ion binding, oxaloacetate decarboxylase activity, ribonuclease inhibitor activity, regulation of RNA metabolic process
P72 A0A0L7ZQQ3 Chaperone protein DnaK dnaK 69,064.13 4.69 22.45 ATP binding, unfolded protein binding, protein folding
P73 A0A0L7VQ51 Uncharacterized protein BA740_07860 62,820.77 4.61 14.61 —*
P74 A0A0M3ECS2 Glyceraldehyde-3-phosphate dehydrogenase AAY51_01480 35,526.09 7.01 10.88 NAD binding, NADP binding, oxidoreductase activity, acting on the aldehyde or oxo group of donors, NAD or NADP as acceptor, glucose metabolic process
P75 Q87KA1 ParB family protein VP3077 32,304.73 6.49 6.14 DNA binding
P76 S5IZ22 Membrane protein M634_20630 36,013.43 4.28 17.02 Cell outer membrane, integral component of membrane,
P77 A0A0D1GIY4 Porin H334_23665 35,968.15 4.59 9.37 Porin activity, ion transmembrane transport, cell outer membrane
P78 A0A3E1IHF1 OmpA-like domain-containing protein BS585_10140 35,983.41 4.28 22.49 Cell outer membrane, integral component of membrane,
P79 Z2ETQ8 Carbamoyl-phosphate synthase small chain carA 23,039.6 4.81 15.64 Carbamoyl-phosphate synthase (glutamine-hydrolyzing) activity
P80 A6AZG0 Outer membrane protein K A79_4270 30,299.56 5.11 3.31 Cell outer membrane
P81 S5IU05 Uracil phosphoribosyltransferase upp 22,640.07 5.13 33.65 GTP binding, magnesium ion binding, magnesium ion binding, nucleoside metabolic process, UMP salvage, uracil salvage
P82 A0A0D1F5C1 Ribosome-recycling factor frr 20,602.51 6.04 37.84 Translational termination, cytoplasm
P83 A6BCF0 Succinate dehydrogenase flavoprotein subunit A79_2135 22,392.42 6.08 13.27 Succinate dehydrogenase activity
P84 Q87FQ1 Uncharacterized protein VPA1627 16,587.02 6.51 11.11 —*
P85 A0A0D1E294 3-Hydroxydecanoyl-[acyl-carrier-protein] dehydratase fabA 18,996.89 6.11 4.65 (3R)-hydroxymyristoyl-[acyl-carrier-protein] dehydratase activity,3-hydroxydecanoyl-[acyl-carrier-protein] dehydratase activity, trans-2-decenoyl-acyl-carrier-protein isomerase activity, fatty acid biosynthetic process, cytoplasm
P86 Q87G18 L-Lactate dehydrogenase lldD 41,399.35 6.04 9.50 FMN binding, lactate dehydrogenase activity, lactate oxidation, cell inner membrane, Peripheral membrane protein, plasma membrane
P87 A0A0D1GKR8 Glycerol-3-phosphate dehydrogenase glpD 58,535.82 6.09 18.88 Sn-glycerol-3-phosphate:ubiquinone-8 oxidoreductase activity, glycerol-3-phosphate metabolic process, glycerol-3-phosphate dehydrogenase complex
P88 S5J0E5 Alcohol dehydrogenase M634_23710 40,190.77 5.06 24.87 Metal ion binding, oxidoreductase activity
P89 A0A0D1F963 Pyruvate dehydrogenase E1 component subunit alpha pdhA 40,236.89 5.1 12.64 Pyruvate dehydrogenase (acetyl-transferring) activity, glycolytic process
P90 A6B1F6 Inorganic diphosphatase A79_0160 33,028.53 4.59 13.95 Metal ion binding, pyrophosphatase activity, cytoplasm
P91 S5IS60 Acetyltransferase M634_19235 20,444.06 5.27 28.26 Acetyltransferase activity
P92 Z2EFM2 Single-stranded DNA-binding protein ssb 19,563.39 5.18 31.25 Single-stranded DNA binding, DNA recombination, DNA repair, DNA replication
P93 A0A2S1MAR5 tRNA-specific 2-thiouridylase MnmA mnmA 42,212.27 5.11 14.17 ATP binding, methyltransferase activity, sulfur transferase activity, tRNA binding, tRNA modification, cytoplasm
P94 A6B5M0 S-(hydroxymethyl) glutathione dehydrogenase A79_5858 40,775.48 5.17 23.82 S-(hydroxymethyl)glutathione dehydrogenase activity, zinc ion binding, ethanol oxidation
P95 S5IUX8 Phosphoglycerate kinase pgk 40,732.24 4.9 15.28 ATP binding, phosphoglycerate kinase activity, glycolytic process, cytoplasm
P96 A0A242V2H0 2,3,4,5-Tetrahydropyridine-2,6-dicarboxylate N-succinyltransferase dapD 35,626 4.99 17.20 2,3,4,5-Tetrahydropyridine-2,6-dicarboxylate N-succinyltransferase activity, magnesium ion binding, diaminopimelate biosynthetic process, lysine biosynthetic process via diaminopimelate, cytoplasm
P97 A0A072L0V1 Transaldolase tal 34,805.45 4.86 37.03 Sedoheptulose-7-phosphate: D-glyceraldehyde-3-phosphate glyceronetransferase activity, carbohydrate metabolic process, pentose-phosphate shunt, cytoplasm

*—, not detected.

Proteomic Comparison of the V. parahaemolyticus Isolates From Three Kinds of Aquatic Products

The proteomic profiles of the shellfish, crustaceans, and fish origins were also different (Figure 3). Interestingly, approximately 28.9% (28/97) of the differential Intracellular proteins only appeared on the proteomic profiles of the V. parahaemolyticus isolates from the eight species of shellfish, but absent from the crustaceans and fish. Of these proteins, the glycerol dehydrogenase (GldA, Spot P12), 5′-nucleotidase surE (Spot P21), and putative glucose-6-phosphate 1-epimerase (G6PE, Spot P30) were shown only on the proteomic profile of the CHN-B2-28 isolate from R. philippinarum. The GldA (Spot P12) is required to catalyze the first step in fermentative glycerol metabolism, and its product is then funneled into the glycolytic pathway for further degradation. The 5′-nucleotidase surE (Spot P21) has nucleotidase activity and is involved in nucleotide metabolism in Escherichia coli (Proudfoot et al., 2004). The G6PE (Spot P30) catalyzes glucose-6-phosphate to fructose-6-phosphate that converted to fructose-1,6-bisphosphate under the catalysis of PFK (Spot P16). In this study, seven intracellular proteins were found only on the proteomic profile of the CHN-B5-29 isolate from P. magellanicus, including the periplasmic serine endoprotease DegP-like (Spot P33), GAPDH (Spot P40), oxidoreductase (Spot P42), threonine aldolase (Spot P43), azurin (Spot P47), s-ribosylhomocysteine lyase (LuxS, Spot P51), and tRNA-binding protein (Spot P52). Among these proteins, for instance, the oxidoreductase (Spot P42) facilitates the detoxification of xenobiotic organic compounds by various microorganisms (Khatoon et al., 2017). The threonine aldolase (Spot P43) catalyzes the cleavage of threonine into glycine and acetaldehyde and involves in threonine decomposition and glycine synthesis (Liu et al., 2015). Azurin (Spot P47) is necessary for bacterial protection from oxidative stress (electron donor to nitrate reductase) and copper toxicity in P. aeruginosa (Mohammadi-Barzelighi et al., 2019). The LuxS (Spot P51) is highly conserved among Aeromonas hydrophila, E. coli, V. cholerae, and Vibrio harveyi and has a critical role in regulation of genes associated with the transport of nucleotides, metabolism, and synthesis of cell walls or membranes. In this study, the cysteine desulfurase IscS (Spot P57) was observed only on the proteomic profile of the CHN-B6-62 isolate from S. constricta, which was involved in iron–sulfur cluster biogenesis and oxidative stress defense in Mycobacterium tuberculosis (Rybniker et al., 2014). Additionally, the CHN-N4-18 isolate from P. viridis expressed the outer membrane β-barrel domain protein (Spot P69), OmpW (Spot P70), and putative 4-hydroxy-4-methyl-2-oxoglutarate aldolase (Spot P71) (Table 4).

For the V. parahaemolyticus isolates of the crustaceans origin, six differential intracellular proteins appeared only on the proteomic profile of the CHN-N1-56 isolate from L. vannamei, including the ParB family protein (Spot P75), porin (Spot P77), outer membrane protein A (OmpA)–like domain-containing protein (Spot P78), uracil phosphoribosyltransferase (UPRT, Spot P81), ribosome-recycling factor (Spot P82), and an uncharacterized protein (Spot P84) encoded by the VPA1627 gene of V. parahaemolyticus RIMD 2210633 strain (Table 4). Recent research has indicated that the UPRT (Spot P81) converts uracil to uridine monophosphate in the pyrimidine salvage pathway in the presence of phosphoribosyl pyrophosphate (Silva et al., 2019). Additionally, the carbamoyl-phosphate synthase small chain (Spot 79) was only expressed by the CHN-N1-56 and CHN-N2-5 isolates from L. vannamei and O. oratoria, respectively (Table 4).

For the V. parahaemolyticus isolates of the fish origin, six differential intracellular proteins were expressed only by the CHN-Q5-1 isolate from C. idellus, including the OmpK (Spot P80), alcohol dehydrogenase (Spot P88), pyruvate dehydrogenase E1 component subunit alpha (Spot P89), inorganic diphosphatase (Spot P90), acetyltransferase (Spot P91), and single-stranded DNA-binding protein (SSB, Spot P92). The acetyltransferase (Spot P91) acts on acetylation of amino acids, which determines vital regulatory processes (Christensen et al., 2019). In addition, three intracellular proteins were only expressed by the CHN-L7-40 isolate from A. nobilis, including the tRNA-specific 2-thiouridylase MnmA (Spot P93), S-(hydroxymethyl) glutathione dehydrogenase (Spot P94), 2,3,4,5-tetrahydropyridine-2,6-dicarboxylate N-succinyltransferase (Spot P96), and transaldolase (Spot P97) (Table 4).

Proteomic Comparison of the V. parahaemolyticus Isolates With Pathogenic Reference Strains

The proteomic profiles of the V. parahaemolyticus ATCC33847 and ATCC17802 strains were also obtained (Supplementary Figure S3). These toxic strains of clinical origin appeared to express more intracellular proteins (459–462) than the 12 V. parahaemolyticus isolates of aquatic product origins (312–343). Comparative proteomic analysis revealed that approximately 23.7% (23/97) of the differential intracellular proteins expressed by the 12 V. parahaemolyticus isolates (Table 4) were observed at similar locations on the proteomic profiles of the ATCC33847 and the ATCC17802 strains (Supplementary Figure S3), including three membrane-related proteins: OmpA family protein (Spot P15), cytochrome c oxidase (Spot P46), and lipoprotein (Spot P48); 10 metabolism-related proteins: aldehyde-alcohol dehydrogenase (AdhE) (Spot P1), PFK (Spot P16), succinylglutamate desuccinylase (Spot P17), FMN reductase (Spot P22), autonomous glycyl radical cofactor (Spot P25), triosephosphate isomerase (Spot P28), glucose-6-phosphate isomerase (Spot P31), glycerol-3-phosphate dehydrogenase (Spot P32), GAPDH (Spot P40), and cytidylate kinase (Spot P50); three biosynthesis-related proteins: ASD (Spot P7), endoribonuclease L-PSP (Spot P24), and tRNA-binding protein (Spot P52); two translation-associated proteins: EF-Tu (Spot P11) and an EF-Ts (Spot P20); one transport protein [phosphoenolpyruvate-protein phosphotransferase (PtsA), Spot P36]; and four bacterial cell protection factors: antioxidant, alkyl hydroperoxide reductase C (AhpC)/Tsa family (AhpC) (Spot P23), periplasmic serine endoprotease DegP-like (Spot P33), cytidylate kinase (Spot P50), and ATP-dependent metallopeptidase HflB (Spot P54) (Table 4).

Notably, among the differential intracellular proteins identified in this study, some were reported to be involved in the virulence of pathogenic bacteria, including the AdhE (Spot P1), OmpAs (Spots P15 and P78), AhpC (Spot P23), PtsA (Spot P36), and phosphoglycerate kinase (PGK) (Spot P95). The latter catalyzes the transfer of a phosphate group from 1,3-diphosphoglycerate to ADP to produce 3-phosphoglycerate and ATP (Smith et al., 2011).

Effects of Aquatic Product Matrix on Proteomic Profiles of the V. parahaemolyticus Isolates

To get insights into implications of aquatic product matrices on the proteomes of the 12 V. parahaemolyticus isolates, we incubated these isolates in their corresponding matrix media and identified a total of 71 differential intracellular proteins by the 2D-GE and LC-MS/MS analysis (Figures 46 and Table 5). These proteins were classified into three major GO categories, in which the most abundant GO term was catalytic activity (62.0%, 44/71), followed by cell (50.7%, 36/71) and binding (49.3%, 35/71). The opposite patterns were biological regulation (1.4%, 1/71), organelle (1.4%, 1/71), and structural molecule activity (1.4%, 1/71) (Supplementary Figure S2B).

FIGURE 4.

FIGURE 4

Effects of aquatic product matrices on proteomic profiles of the V. parahaemolyticus isolates of the shellfish origin. (A1–H1) V. parahaemolyticus CHN-2-28, CHN-B5-29, CHN-B6-62, CHN-B8-26, CHN-N3-2, CHN-N4-18, CHN-N8-5, and CHN-N10-18 isolates incubated in the TSB medium (pH 8.5, 3% NaCl) at 37°C, respectively. (A2–H2) The V. parahaemolyticus isolates were incubated in the R. philippinarum, P. magellanicus, S. constricta, S. strictus, P. undulate, P. viridis, M. veneriformis, and O. gigas thunberg matrices media at 37°C, respectively.

FIGURE 6.

FIGURE 6

Effects of aquatic product matrix on proteomic profiles of the V. parahaemolyticus isolates of the fish origin. (K1,L1) V. parahaemolyticus CHN-L7-40 and Q5-1 isolates incubated in the TSB medium (pH 8.5, 3% NaCl) at 37°C, respectively. (K2,L2) the CHN-L7-40 and Q5-1 isolates incubated in the A. nobilis and C. idellus matrices media at 37°C, respectively.

TABLE 5.

Identification of the differential proteins of the 12 V. parahaemolyticus isolates incubated between in the TSB and aquatic product matrix media.

Protein spot no. Uniprot no. Protein Gene MW (Da) pI Sequence coverage (%) Putative function V. parahaemolyticus isolate/matrix medium
A2-1 A0A242UZI1 Glycerol dehydrogenase gldA 38,468.69 5.05 30.56 Metal ion binding, xidoreductase activity, acting on CH-OH group of donors CHN-B2-28/R. philippinarum
A2-2 A0A249W9I8 Fructose-1,6-bisphosphatase glpX 35,981.09 4.95 12.84 Fructose 1,6-bisphosphate 1-phosphatase activity, metal ion binding, gluconeogenesis, glycerol metabolic process CHN-B2-28/R. philippinarum
A2-3 Q87M78 2,3,4,5-tetrahydropyridine-2,6-dicarboxylate N-succinyltransferase dapD 35,639.98 4.99 7.00 2,3,4,5-Tetrahydropyridine-2,6-dicarboxylate N-succinyltransferase activity, magnesium ion binding, diaminopimelate biosynthetic process, lysine biosynthetic process via diaminopimelate, cytoplasm CHN-B2-28/R. philippinarum
A2-4 A0A0D1EXH8 Choline ABC TSBP H334_11605 34,297.4 5.06 15.71 Choline binding, transmembrane transporter activity, choline transport, ATP-binding cassette (ABC) transporter complex, periplasmic space CHN-B2-28/R. philippinarum
A2-5 A6B711 Cytochrome c oxidase, Cbb3-type, subunit II ccoO 23,607.48 5.41 14.56 Cytochrome-c oxidase activity, heme binding, metal ion binding, integral component of membrane CHN-B2-28/R. philippinarum
B1-1 Q87MN7 3-oxoacyl-[acyl-carrier-protein] synthase I VP2194 42,617.75 4.95 30.02 Transferase activity CHN-B5-29/TSB medium
B1-2 A0A0D1EM30 S-adenosylmethionine synthase metK 41,990.15 5 20.57 ATP binding, magnesium ion binding, methionine adenosyltransferase activity, one-carbon metabolic process, S-adenosylmethionine biosynthetic process, cytoplasm CHN-B5-29/TSB medium
B1-3 A0A2S1MIM9 Azurin azu 15,858.76 5.21 24.00 Copper ion binding, electron transfer activity, periplasmic space CHN-B5-29/TSB medium
B1-4 S5IID9 Universal stress protein M634_02380 15,681.81 5.19 29.79 Cytoplasm CHN-B5-29/TSB medium
D2-1 S5IZ22 Outer membrane protein A (OmpA) family M634_20630 36,013.43 4.28 17.02 Cell outer membrane, integral component of membrane CHN-B8-26/S. strictus
D2-2 A0A072JT35 OmpA family protein ACS91_20150 35,567.09 4.42 7.08 Cell outer membrane, integral component of membrane CHN-B8-26/S. strictus
D2-3 A0A4S3T4K4 OmpA family protein E4P16_23225 34,100.43 4.48 21.63 Membrane CHN-B8-26/S. strictus
D2-4 A6B9V7 ATP-dependent metallopeptidase HflB hflB 28,787.85 4.86 5.86 ATP binding, metalloendopeptidase activity CHN-B8-26/S. strictus
D2-5 A0A0D1F327 Glycerol-3-phosphate dehydrogenase glpD 59,074.41 6.1 3.24 Sn-glycerol-3-phosphate:ubiquinone-8 oxidoreductase activity, glycerol-3-phosphate metabolic process, glycerol-3-phosphate dehydrogenase complex CHN-B8-26/S. strictus
E1-1 A0A0L7ZQQ3 Chaperone protein DnaK dnaK 69,064.13 4.69 22.45 ATP binding, unfolded protein binding, protein folding CHN-N3-2/TSB medium
E1-2 Q87RK0 Phosphoenolpyruvate-protein phosphotransferase VP0794 63,191.46 4.65 16.03 Kinase activity, metal ion binding, phosphoenolpyruvate-protein phosphotransferase activity, phosphoenolpyruvate-dependent sugar phosphotransferase system, cytoplasm CHN-N3-2/TSB medium
E1-3 A0A242UZU9 Triosephosphate isomerase tpiA 26,989.18 4.78 21.88 Triose-phosphate isomerase activity, gluconeogenesis, glycolytic process, cytoplasm CHN-N3-2/TSB medium
E1-4 A0A075BND0 Outer membrane protein W ompW 23,224.04 4.85 17.76 Outer membrane CHN-N3-2/TSB medium
E1-5 A6B8W0 Autonomous glycyl radical cofactor grcA 13,928.45 4.71 37.60 Catalytic activity CHN-N3-2/TSB medium
F1-1 Q87SZ0 DNA-directed RNA polymerase subunit alpha rpoA 36,472.05 4.78 11.21 DNA binding, DNA-directed 5′-3′ RNA polymerase activity, protein dimerization activity, transcription, DNA-templated, DNA-directed RNA polymerase CHN-N4-18/TSB medium
F1-2 Q87T56 ADP-L-glycero-D-manno-heptose-6-epimerase hldD 35,215.99 4.86 6.71 ADP-glyceromanno-heptose 6-epimerase activity; NADP binding; ADP-L-glycero-β-D-manno-heptose biosynthetic process; lipopolysaccharide core region biosynthetic process CHN-N4-18/TSB medium
F1-3 A0A0D1GU29 Outer membrane protein W H334_14550 23,240.1 4.85 17.76 Outer membrane CHN-N4-18/TSB medium
F1-4 A0A2S1MAR5 tRNA-specific 2-thiouridylase MnmA mnmA 42,212.27 5.11 14.17 ATP binding, methyltransferase activity, sulfur transferase activity, tRNA binding, tRNA modification, cytoplasm CHN-N4-18/TSB medium
G2-1 Q87MW0 Aldehyde-alcohol dehydrogenase VP2121 97,121.96 5.73 26.78 Acetaldehyde dehydrogenase (acetylating) activity, alcohol dehydrogenase (NAD+) activity, metal ion binding, alcohol metabolic process, carbon utilization CHN-N8-5/M. veneriformis
G2-2 A0A0N0CBA6 Uncharacterized protein ACX03_16865 33,357.07 4.39 6.35 —* CHN-N8-5/M. veneriformis
G2-3 A0A2R9VI74 Ribokinase rbsK 32,241.19 4.58 17.38 ATP binding, metal ion binding, ribokinase activity, D-ribose catabolic process, cytoplasm CHN-N8-5/M. veneriformis
G2-4 A0A075BND0 Outer membrane protein W ompW 23,224.04 4.85 17.76 Outer membrane CHN-N8-5/M. veneriformis
G2-5 Z2EMT8 Proline dehydrogenase domain protein putA 25,474.35 4.91 5.11 Oxidoreductase activity CHN-N8-5/M. veneriformis
G2-6 A0A0M3ECS2 Glyceraldehyde-3-phosphate dehydrogenase AAY51_01480 35,526.09 7.01 10.88 NAD binding, NADP binding, oxidoreductase activity, acting on the aldehyde or oxo group of donors, NAD or NADP as acceptor, glucose metabolic process CHN-N8-5/M. veneriformis
H2-1 A0A4S3T4K4 OmpA family protein E4P16_23225 34,100.43 4.48 21.63 Membrane CHN-N10-18/O. gigas thunberg
H2-2 Q87MS3 Putative glucose-6-phosphate 1-epimerase VP2158 32,318.19 4.65 12.59 Carbohydrate binding, glucose-6-phosphate 1-epimerase activity, carbohydrate metabolic process CHN-N10-18/O. gigas thunberg
H2-3 A0A2R9VI74 Ribokinase rbsK 32,241.19 4.58 17.38 ATP binding, metal ion binding, ribokinase activity, D-ribose catabolic process, cytoplasm CHN-N10-18/O. gigas thunberg
H2-4 Z2E3N3 Peptidyl-prolyl cis-trans isomerase fkpA 28,267.52 4.74 33.08 Peptidyl-prolyl cis-trans isomerase activity, protein folding CHN-N10-18/O. gigas thunberg
H2-5 A0A242UZU9 Triosephosphate isomerase tpiA 26,989.18 4.78 21.88 Triose-phosphate isomerase activity, gluconeogenesis, glycolytic process, cytoplasm CHN-N10-18/O. gigas thunberg
H2-6 A6B8W0 Autonomous glycyl radical cofactor grcA 13,928.45 4.71 37.60 Catalytic activity CHN-N10-18/O. gigas thunberg
H2-7 Q87FQ1 Uncharacterized protein VPA1627 16,587.02 6.51 11.11 —* CHN-N10-18/O. gigas thunberg
H2-8 A0A0M3ECS2 Glyceraldehyde-3-phosphate dehydrogenase AAY51_01480 35,526.09 7.01 19.03 NAD binding, NADP binding, oxidoreductase activity, acting on the aldehyde or oxo group of donors, NAD or NADP as acceptor CHN-N10-18/O. gigas thunberg
I1-1 A0A0D1EXL2 Inosine-5′-monophosphate dehydrogenase guaB 51,685.5 6.06 38.52 IMP dehydrogenase activity, metal ion binding, nucleotide binding, GMP biosynthetic process CHN-N1-56/TSB medium
I1-2 A0A0L7Z783 Formate transporter ACS91_17705 52,146.53 6.09 6.83 Integral component of membrane, formate transmembrane transporter activity CHN-N1-56/TSB medium
I1-3 A6B6D3 D-Erythrose-4-phosphate dehydrogenase epd 38,248.9 5.91 8.41 Erythrose-4-phosphate dehydrogenase activity, NAD binding, pyridoxal phosphate biosynthetic process, cytoplasm CHN-N1-56/TSB medium
I1-4 Q87H06 GMP reductase guaC 37,288.16 6.16 15.80 GMP reductase activity, metal ion binding, purine nucleotide metabolic process, GMP reductase complex CHN-N1-56/TSB medium
I1-5 A0A0D1DUY5 Acyl-CoA thioesterase II H320_00530 32,641.74 6.42 4.90 Acyl-CoA hydrolase activity CHN-N1-56/TSB medium
I1-6 Q87KA1 ParB family protein VP3077 32,304.73 6.49 6.14 DNA binding CHN-N1-56/TSB medium
I1-7 S5IZ22 OmpA family protein M634_20630 36,013.43 4.28 17.02 Cell outer membrane, integral component of membrane, CHN-N1-56/TSB medium
I2-1 A0A242V2H0 2,3,4,5-Tetrahydropyridine-2,6-dicarboxylate N-succinyltransferase dapD 35,626 4.99 17.20 2,3,4,5-tetrahydropyridine-2,6-dicarboxylate N-succinyltransferase activity, magnesium ion binding, diaminopimelate biosynthetic process, lysine biosynthetic process via diaminopimelate, cytoplasm CHN-N1-56/L. vannamei
I2-2 S5IZ25 Transaldolase tal 34,805.45 4.86 10.76 Sedoheptulose-7-phosphate:D-glyceraldehyde-3-phosphate glyceronetransferase activity, carbohydrate metabolic process, pentose-phosphate shunt, cytoplasm CHN-N1-56/L. vannamei
I2-3 A6B3V3 Deoxyribose-phosphate aldolase deoC 27,744.45 4.68 13.18 Deoxyribose-phosphate aldolase activity, carbohydrate catabolic process, deoxyribonucleotide catabolic process, deoxyribose phosphate catabolic process, cytoplasm CHN-N1-56/L. vannamei
I2-4 A0A075BND0 Out membrane protein W ompW 23,224.04 4.85 17.76 Outer membrane CHN-N1-56/L. vannamei
I2-5 Q87RS3 Lipoprotein VP0704 29,069.66 4.83 11.90 —* CHN-N1-56/L. vannamei
J1-1 A0A0D1EXH8 Glycine betaine-binding protein OpuAC H334_11605 34,297.4 5.06 15.71 Choline binding, transmembrane transporter activity, choline transport, ATP-binding cassette (ABC) transporter complex, periplasmic space CHN-N2-5/TSB medium
J1-2 A0A0D1V969 DNA polymerase sliding clamp subunit ACS91_16100 18,275.43 5.07 18.24 Ferric iron binding, oxidoreductase activity, oxidizing metal ions, cellular iron ion homeostasis, cell CHN-N2-5/TSB medium
J2-1 A6B3V3 Deoxyribose-phosphate aldolase deoC 27,744.45 4.68 13.18 Deoxyribose-phosphate aldolase activity, carbohydrate catabolic process, deoxyribonucleotide catabolic process, deoxyribose phosphate catabolic process, cytoplasm CHN-N2-5/O. oratoria
J2-2 Z2EUM4 Phosphoribosyltransferase hisG 24,091.48 4.66 19.46 ATP phosphoribosyltransferase activity, magnesium ion binding, histidine biosynthetic process, cytoplasm CHN-N2-5/O. oratoria
J2-3 Z2ESY3 Outer membrane β-barrel domain protein D046_2887 25,508.96 4.51 10.00 Cell outer membrane, integral component of membrane CHN-N2-5/O. oratoria
J2-4 A0A0D1EJJ6 Protein GrpE grpE 22,368.9 4.54 13.64 Adenyl-nucleotide exchange factor activity, chaperone binding, protein homodimerization activity, protein folding, cytoplasm CHN-N2-5/O. oratoria
J2-5 Q87RS3 Lipoprotein VP0704 29,069.66 4.83 11.90 —* CHN-N2-5/O. oratoria
J2-6 A0A2S1MIM9 Azurin azu 15,858.76 5.21 24.00 Copper ion binding, electron transfer activity, periplasmic space CHN-N2-5/O. oratoria
J2-7 Q87RU4 6,7-Dimethyl-8-ribityllumazine synthase ribH 16,431.67 5.37 38.46 6,7-dimethyl-8-ribityllumazine synthase activity, riboflavin biosynthetic process CHN-N2-5/O. oratoria
J2-8 A0A0D1F6F7 Histidine triad nucleotide-binding protein H334_15790 12,987.93 5.45 45.69 Catalytic activity CHN-N2-5/O. oratoria
J2-9 Q87FQ1 Uncharacterized protein VPA1627 16,587.02 6.51 11.11 —* CHN-N2-5/O. oratoria
J2-10 A0A0D1E294 3-Hydroxydecanoyl-[acyl-carrier-protein] dehydratase fabA 18,996.89 6.11 4.65 (3R)-hydroxymyristoyl-[acyl-carrier-protein] dehydratase activity,3-hydroxydecanoyl-[acyl-carrier-protein] dehydratase activity, trans-2-decenoyl-acyl-carrier-protein isomerase activity, fatty acid biosynthetic process, cytoplasm CHN-N2-5/O. oratoria
J2-11 A6BCF0 Succinate dehydrogenase flavoprotein subunit A79_2135 22,392.42 6.08 13.27 Succinate dehydrogenase activity CHN-N2-5/O. oratoria
J2-12 A0A0D1F327 Glycerol-3-phosphate dehydrogenase glpD 59,074.41 6.1 3.24 Sn-glycerol-3-phosphate:ubiquinone-8 oxidoreductase activity, glycerol-3-phosphate metabolic process, glycerol-3-phosphate dehydrogenase complex CHN-N2-5/O. oratoria
K1-1 A6B9V7 ATP-dependent metallopeptidase HflB hflB 28,787.85 4.86 5.86 ATP binding, metalloendopeptidase activity CHN-L7-40/TSB medium
K2-1 A0A0D1EM30 S-adenosylmethionine synthase metK 41,990.15 5 20.57 ATP binding, magnesium ion binding, methionine adenosyltransferase activity, one-carbon metabolic process, S-adenosylmethionine biosynthetic process, cytoplasm CHN-L7-40/A. nobilis
K2-2 Q87MI6 Succinyl-diaminopimelate desuccinylase dapE 41,037.76 4.75 4.76 Cobalt ion binding, metallopeptidase activity, succinyl-diaminopimelate desuccinylase activity, zinc ion binding, diaminopimelate biosynthetic process, lysine biosynthetic process via diaminopimelate CHN-L7-40/A. nobilis
L1-1 A0A0N0UKW5 Aspartate carbamoyltransferase pyrB 34,363.55 5.03 6.47 Amino acid binding, aspartate carbamoyltransferase activity, de novo pyrimidine nucleobase biosynthetic process, de novo UMP biosynthetic process, cellular amino acid metabolic process CHN-Q5-1/TSB medium
L2-1 A0A0L7YIN7 3-Chlorobenzoate-3,4-dioxygenase dehydrogenase WR32_06855 38,032.68 4.62 7.96 Dioxygenase activity CHN-Q5-1/C. idellus
L2-2 A0A4S3T4K4 OmpA family protein E4P16_23225 34,100.43 4.48 21.63 Cell outer membrane; integral component of membrane CHN-Q5-1/C. idellus
L2-3 S5IJL9 Protein GrpE grpE 22,368.9 4.54 50.51 Adenyl-nucleotide exchange factor activity; chaperone binding; protein homodimerization activity; protein folding; cytoplasm CHN-Q5-1/C. idellus
L2-4 A0A0D1ESD7 50S ribosomal protein L9 rplI 15,708.8 5.19 66.00 Ribosome; rRNA binding; structural constituent of ribosome; translation CHN-Q5-1/C. idellus

*—, not detected.

The shellfish matrix media obviously changed the proteomic profiles of the 8 V. parahaemolyticus isolates of the shellfish origin (Figures 4A2–H2). For instance, approximately 319 and 326 intracellular protein spots were observed on the proteomic profiles of the CHN-N10-28 isolate grown in the TSB and O. gigas thunberg matrix media, respectively (Figures 4H1,H2). Among these, eight intracellular proteins were expressed by the CHN-N10-28 isolate grown in the O. gigas thunberg matrix medium (Figure 4H2), including the OmpA family protein (Spot H2-1), putative glucose-6-phosphate 1-epimerase (Spot H2-2), ribokinase (Spot H2-3), peptidyl-prolyl cis-trans isomerase (Spot H2-4), triosephosphate isomerase (Spot H2-5), autonomous glycyl radical cofactor (Spot H2-6), GAPDH (Spot H2-8), and an uncharacterized protein (Spot H2-7) encoded by the VPA1627 gene of V. parahaemolyticus RIMD 2210633 strain with currently unknown functions in public databases (Table 5).

For the crustacean matrix media, for example, approximately 314 and 325 intracellular proteins were produced by the CHN-N2-5 isolate grown in the TSB and O. oratoria matrix media, respectively (Figures 5J1,J2). Two differential intracellular proteins were expressed by the CHN-N2-5 isolate grown in the former medium (Figure 5J1), including the glycine betaine-binding protein OpuAC (Spot J1-1), and DNA polymerase sliding clamp subunit (Spot J1-2). Remarkably, approximately 12 differential intracellular proteins were expressed by the CHN-N2-5 isolate grown in the O. oratoria matrix medium (Figure 5J2), including the deoxyribose-phosphate aldolase (Spot J2-1), phosphoribosyltransferase (Spot J2-2), outer membrane β-barrel domain protein (Spot J2-3), GrpE (Spot J2-4), lipoprotein (Spot J2-5), azurin (Spot J2-6), 6,7-dimethyl-8-ribityllumazine synthase (Spot J2-7), histidine triad nucleotide-binding protein (Spot J2-8), 3-hydroxydecanoyl-(acyl-carrier-protein) dehydratase (Spot J2-10), succinate dehydrogenase flavoprotein subunit (Spot J2-11), glycerol-3-phosphate dehydrogenase (Spot J2-12), and an uncharacterized protein (Spot J2-9) encoded by the VPA1627 gene of V. parahaemolyticus RIMD 2210633 strain (Table 5).

FIGURE 5.

FIGURE 5

Effects of aquatic product matrix on proteomic profiles of the V. parahaemolyticus isolates of the crustaceans origin. (I1,J1) V. parahaemolyticus CHN-N1-56 and N2-5 isolates incubated in the TSB medium (pH 8.5, 3% NaCl) at 37°C, respectively. (I2,J2) the CHN-N1-56 and N2-5 isolates incubated in the L. vannamei and O. oratoria matrices media at 37°C, respectively.

Likewise, for the fish matrix media, for instance, approximately 329 and 333 intracellular protein spots were observed on the proteomic profiles derived from the CHN-Q5-1 isolate grown in the TSB and C. idellus matrix media, respectively (Figures 6L1,L2). The aspartate carbamoyltransferase (Spot L1-1) was expressed by the CHN-Q5-1 isolate grown in the former medium (Figure 6L1), whereas four were produced in the C. idellus matrix medium (Figure 6L2), including the 3-chlorobenzoate-3,4-dioxygenase dehydrogenase (Spot L2-1), OmpA family protein (Spot L2-2), GrpE (Spot L2-3), and 50S ribosomal protein L9 (Spot L2-4) (Table 5). Additionally, to validate the differential proteins induced by the aquatic product matrices, we examined gene expression of several representative proteins by the quantitative RT-PCR assay. The resulting data were generally consistent with the proteomic analysis (Supplementary Figure S4).

Aquatic Product Matrix Composition

As shown in Supplementary Figure S5, the protein (3.73‰–0.43‰), carbohydrate (1.23‰–0.01‰), and crude fat (1.00‰–0.01‰) contents of the 12 types of aquatic product matrices were remarkably different. The protein concentration in the P. undulate matrix was the highest (3.73‰), followed by 3.44‰ in the P. viridis, and 3.25‰ in the L. vannamei matrices, whereas the opposite patterns were observed in the P. magellanicus (1.50‰), S. strictus (1.36‰), and O. gigas thunberg (0.43‰) matrices. The fat contents of the aquatic product matrices were much higher in the L. vannamei (1.01‰), O. oratoria (0.85‰), and P. magellanicus (0.84%) than those in the P. undulate (0.36%), S. strictus (0.31%), and S. constricta (0.01%) matrices. The carbohydrate content of the P. viridis (1.23‰) matrix was the highest, whereas that of the O. gigas thunberg (0.01‰) matrix was the lowest (Supplementary Figure S5).

Discussion

Vibrio parahaemolyticus is the leading seafoodborne pathogenic bacterium worldwide. Nevertheless, the information in V. parahaemolyticus proteomics is minimally available to date (Fu et al., 2014; He et al., 2015; Perez-Acosta et al., 2018; Tang et al., 2018; Zhong et al., 2019). Based on our prior studies, in this study, we obtained and compared the secretomic and proteomic profiles of the V. parahaemolyticus isolates recovered from 12 species of commonly consumed aquatic products by 2D-GE and LC-MS/MS analysis.

Secreted proteins have a major role in the pathogenesis of bacterial infection of host cells. He et al. (2015) investigated secretomic profiles derived from V. parahaemolyticus strains isolated from five species of aquatic products and identified six extracellular virulence-associated proteins involved in the pathogenicity of bacteria, such as EF-Tu, pyridoxine 5′-phosphate synthase, σ54 modulation protein, dihydrolipoyl dehydrogenase, transaldolase, and PGK. Among these proteins, the EF-Tu (Spot c) and transaldolase (Spot S5) were also identified by the comparative secretomic analysis of the 12 V. parahaemolyticus isolates in this study. The EF-Tu (Spot c) secreted by all the V. parahaemolyticus isolates was reported to be exposed on the cell surface of Streptococcus, Neisseria, and Mycoplasma and under certain conditions on E. coli (Mikhalchik et al., 2019). The transaldolase (Spot S5) was secreted by the V. parahaemolyticus CHN-B2-28, CHN-B6-62, CHN-B8-26, CHN-N4-18, CHN-N10-18, CHN-L7-40, and CHN-Q5-1 isolates. Gonzalez-Rodriguez et al. reported that the transaldolase (Spot S5) recruited on the cell surface via a non-classical secretion mechanism or an uncharacterized translocation pathway and acted as an important colonization factor for the survival of Bifidobacterium bifidum in host intestinal tract (Gonzalez-Rodriguez et al., 2012). In this study, some other extracellular proteins involved in bacterial virulence were also identified. For instance, the superoxide dismutase (Spot S26) secreted by the V. parahaemolyticus CHN-B5-29 and CHN-B6-62 isolates is an important virulence factor of Vibrio alginolyticus and contributes to the antioxidative stress with potential application for live attenuated vaccine (Chen et al., 2019).

The initial contact and anchoring of bacteria to a host cell are essential during the process of infection (Li et al., 2019). Adhesions are present at the bacterial cell surface or released into extracellular space to form a contact platform for bacterial attachment onto a host cell (Zhang and Orth, 2013). In this study, our secretomic data derived from the 12 V. parahaemolyticus isolates revealed such proteins involved in the adhesions of pathogenic bacteria. For example, the TolC (Spot a), secreted by all the V. parahaemolyticus isolates, is a major adhesin in V. harveyi (Zhu et al., 2019). The enolase (Spot S2), secreted by the V. parahaemolyticus CHN-B2-28, CHN-B5-29, CHN-B6-62, CHN-N1-56, CHN-N3-2, CHN-N4-18, CHN-N8-5, and CHN-Q5-1 isolates, is an adhesion-related factor that binds plasminogen and allows bacteria to acquire surface-associated proteolytic activity that facilitates invasion and dissemination in the infected host (Jiang et al., 2014). Bacterial membrane proteins can act as adhesion factors or adhesion enhancers (Gordon et al., 2015). For example, the GAPDH (Spot S13), like many housekeeping proteins, has been presumed to exist only in the cytoplasm to involve in glycolysis. However, it has been reported that GAPDH can be recruited on the cell surface and secreted via a non-classical secretion mechanism, and therefore it is a suitable vaccine candidate for protection against bacterial and parasitic diseases (Perez-Casal and Potter, 2016). The nitrogen regulatory protein P-II (Spot S28) is one of the most widely distributed families of signal transduction proteins widespread among bacteria, archaea, and plants (Radchenko and Merrick, 2011) and control the activities of a very diverse range of enzymes, transcription factors and some membrane transport proteins by direct interaction with their target hosts (Merrick, 2014). The maltoporin (Spot b), secreted by all the V. parahaemolyticus isolates, belongs to the outer membrane porin family of Gram-negative bacteria (Thoma et al., 2017) and is a versatile vaccine candidate in Vibrio species (Lun et al., 2014). Recently, Yang B. et al. (2019) reported that the maltoporin (Spot b) also contributed to the adhesion and invasion ability of Aeromonas veronii TH0426 to epithelioma papulosum cyprini cells. Additionally, bacterial flagellins, potent immunomodulatory agents, contribute to bacterial adhesion and invasion of host cells as well (Hajam et al., 2017). In this study, the flagellin C (Spot S7) was secreted by the V. parahaemolyticus CHN-B2-28, CHN-B8-26, CHN-N4-18, CHN-L7-40, and CHN-Q5-1 isolates, whereas the polar flagellin B/D (Spot S8) was secreted by the CHN- B2-28 and CHN-B8-26 isolates. These identified extracellular proteins could be the main targets of vaccine development because of their exposed epitopes on the cell surface.

In this study, comparative proteomic analysis also revealed several intracellular proteins related to bacterial virulence, including the AdhE (Spot P1), OmpAs (Spot P15 and Spot P78), AhpC (Spot P23), PtsA (Spot P36), and PGK (Spot P95). For instance, the AdhE (Spot P1) was expressed by the majority of V. parahaemolyticus strains (except the CHN-B8-26, N2-5, N8-5, and L7-40 isolates). Luong et al. (2015) reported that ΔadhE mutant strain decreased pneumolysin (Ply) under ethanol stress condition when compared to wild-type strain and implied that AdhE was a pneumococcal virulence factor in Streptococcus pneumoniae. The OmpAs (Spot P15 and Spot P78), expressed by the V. parahaemolyticus CHN-B2-28, CHN-B5-29, CHN-N1-56, CHN-N4-18, and CHN-Q5-1 isolates, belong to a group of surface-exposed porins associated with bacterial pathogenesis in V. parahaemolyticus (Cheng et al., 2018). In this study, the AhpC (Spot P23) was expressed by the CHN-B2-28, CHN-N1-56, CHN-N3-2, CHN-N4-18, CHN-N10-23, and CHN-Q5-1 isolates. It has been reported that AhpC in highly virulent Francisella tularensis serves as a key antioxidant enzyme and contributes to its robust oxidative and nitrosative stress resistance and intramacrophage survival and consequently serves as a virulence factor (Alharbi et al., 2019). The PtsA (Spot P36), expressed by the CHN-B5-29, CHN-B6-62, CHN-N2-5, CHN-N3-2, CHN-N4-18, and CHN-L7-40 isolates, is an intracellular protein of the monosaccharide phosphotransferase systems and also localizes to the bacterial cell wall as an adhesin in S. pneumoniae (Mizrachi Nebenzahl et al., 2016). The PGK (Spot P95), expressed by the CHN-Q5-1 isolate from C. idellus, is a key enzyme of glycolysis and also acts as a mediator of DNA replication and repair in the nucleus (Kumar et al., 2019). This protein, also identified in our prior research (He et al., 2015), has been used as an antigen in a neonatal-animal model against Streptococcus agalactiae infection (Wang et al., 2014).

The increase in MDR pathogenic bacteria has raised a serious public health and economic concern (Elmahdi et al., 2016). One common mechanism for bacteria to obtain antibiotic resistance is to actively pump drugs from bacterial cells by employing ABC transporters (Wilson, 2016). The functions of ABC transporters are very diverse, ranging from importing essential nutrients to conferring drugs in bacteria, archaea, and eukaryote (Beis, 2015). In this study, comparative secretomic analysis revealed several ABC transporters of the V. parahaemolyticus isolates with resistance phenotypes. For instance, the maltodextrin-binding protein (Spot d), secreted by all the V. parahaemolyticus isolates, is part of the maltose ABC complex MalEFGK (Machtel et al., 2019). The D-ribose ABC TSBP (Spot S15) and arginine ABC TSBP (Spot S18) were secreted by most of the isolates, except the CHN-B6-62 and CHN-Q5-1, as well as CHN-B6-62 and CHN-N1-56 isolates, respectively. The choline ABC TSBP (Spot S14) was secreted by the CHN-B2-28, CHN-B5-29, CHN-N1-56, CHN-N2-5, and CHN-N8-5 isolates. The glycine/betaine ABC TSBP (Spot S12) was observed only on the secretomic profile derived from the CHN-B2-28 and CHN-B8-26 isolates, whereas the peptide ABC TPPBP (Spot S24) was observed from the CHN-B2-28 and CHN-N2-5 isolates. The other possible mechanism of bacterial resistance is the ribosome protection (Wilson, 2016). Bacterial ribosome, being one of the main antibiotic targets in bacterial cells (Wilson, 2014), is a large protein–RNA complex that consists of two major subunits (a small 30S subunit and a large 50S subunit), each of which is composed of a variety of proteins. In this study, two translation-associated proteins EF-Tu (Spot c) and EF-Ts (Spot S22) were identified by the secretomic and proteomic analysis. The former existed in all the V. parahaemolyticus isolates, whereas the latter was secreted by the CHN-B2-28, CHN-B8-26, CHN-N3-2, CHN-N4-18, CHN-N10-18, CHN-L7-40, and CHN-Q5-1 isolates. The EF-Ts is a guanosine nucleotide exchange factor for EF-Tu (He et al., 2015), and the EF-Tu catalyzes the binding of aminoacyl-tRNA (aa-tRNA) to a site of the ribosome during protein synthesis (Daviter et al., 2003). Agarwal and O’Connor (2014) reported that a ribosomal protein S12 binding the EF-Tu contributed to streptomycin resistance in E. coli MC323. Overall, these identified proteins may serve as an explanation for the resistance phenotypes of the V. parahaemolyticus isolates with aquatic product origins.

In this study, all the V. parahaemolyticus isolates (except the CHN-B6-62 isolate) produced more intracellular protein spots on their proteomic profiles responding to aquatic product matrices. A total of 71 differential intracellular proteins were identified by the LC-MS/MS analysis, most of which were involved in biosynthesis process (e.g., diaminopimelate, lysine, ADP-L-glycero-β-D-manno-heptose, S-adenosylmethionine, GMP, riboflavin, and fatty acid biosynthesis), metabolic processes (e.g., gluconeogenesis, glycerol, one-carbon, glycerol-3-phosphate, alcohol, carbohydrate, D-ribose, deoxyribonucleotide, and amino acid metabolism), and cell membrane composition. The growth of microorganism may vary with the available carbon and nitrogen sources (Chiang and Chou, 2008). In this study, our comparative proteomic analysis showed that the crustacean matrices changed the proteomes of the V. parahaemolyticus CHN-N1-56 and CHN-N2-5 isolates, recovered from L. vannamei and O. oratoria, respectively, more than the other 10 types of aquatic product matrices. Wang et al. (2018) evaluated the influence of food matrices (shrimp, oyster, freshwater fish, pork, chicken, and egg fried rice) on extracellular products of V. parahaemolyticus and found that V. parahaemolyticus expressed significantly higher activity (p < 0.05) of gelatinase, caseinase, urease, DNase, and amylase in shrimp matrix than freshwater fish. In this study, our data also showed that the crude fat contents of the crustacean matrices were approximately 101- to 85-fold higher than those of the fish and shellfish matrices. Lipases expressed by Vibrio species can hydrolyze fats into glycerol and fatty acids (Beshiru and Igbinosa, 2018). Moravec et al. (2017) reported the Vibrio’s ability to acquire fatty acids from environmental sources. Exogenous fatty acids can affect bacterial metabolism, modification of membrane lipids, alteration of protein function, regulation of gene expression, and stress responses (Moravec et al., 2017; Yao and Rock, 2017). In this study, our comparative proteomic data highlighted the significance of monitoring V. parahaemolyticus contamination in fat-rich aquatic products in the future research.

In this study, the other interesting finding was that some V. parahaemolyticus isolates produced virulence-associated proteins when incubated only in aquatic product matrices media. For instance, the OmpA family proteins (Spots D2-1, D2-2, D2-3, H2-1, and L2-2) were expressed by the V. parahaemolyticus CHN-B8-26 and CHN-N10-18 isolates when grown in the S. strictus and O. gigas thunberg matrices media, respectively. Recent research has indicated that proteins and lipids can form complexes (called liprotides) that assist in folding of outer membrane proteins, for example, OmpA, especially optimal folding at pH 8–9 (Nedergaard Pedersen et al., 2018). Protein folding is the essential process by which a polypeptide chain acquires its functional, native 3D structure. In this study, our data suggested that the aquatic product matrices with higher contents of protein and fat may facilitate the expression of virulence-associated factors (e.g., the OmpA family proteins) in the V. parahaemolyticus isolates.

Although gel-based proteomes are laboring and time-consuming, images of 2D-GE gels can be compared so as to quantify each protein spot from different samples, and these protein spots can subsequently be excised, sequenced, and identified with MS, especially LC-MS/MS (Lee et al., 2019). Each protein has multiple forms as a result of genetic variations, splicing, truncation, degradation, and posttranslational modifications; therefore, innovated proteomic technologies such as MS-based shotgun proteomics (Lee et al., 2018) should be employed to explore more virulence and resistance-associated factors in V. parahaemolyticus. Also, new proteins during culture handing/extraction processing should be prevented by adding a compound (e.g., chloramphenicol), and the function of the virulence and resistance-related proteins identified in the V. parahaemolyticus isolates should be further pursued by cell and animal infection mode analysis in the future research.

Data Availability Statement

The datasets generated for this study are available on request to the corresponding author.

Author Contributions

ZZ, LY, PY, YW, XP, and LC participated in the design and discussion of the study. ZZ carried out the experiments. LY performed the qRT-PCR assay. ZZ and LC wrote the manuscript. All the authors read and approved the final version to be published.

Conflict of Interest

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.

Funding. This study was supported by the grants from the Shanghai Municipal Science and Technology Commission (No. 17050502200) and the National Natural Science Foundation of China (No. 31671946).

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmicb.2020.01453/full#supplementary-material

FIGURE S1

The secretomic profiles of the V. parahaemolyticus ATCC33847 and ATCC17802 strains by the 2D-GE analysis. (A) ATCC33847. (B) ATCC17802. The protein spots marked with blue circles and the numbers in red were the same at similar locations on the secretomic profiles of the 12 V. parahaemolyticus isolates. pI, isoelectric point.

FIGURE S2

The GO functional classification of the differential intracellular proteins. (A) The differential intracellular proteins of 12 V. parahaemolyticus isolates. (B) The differential intracellular proteins of the 12 V. parahaemolyticus isolates incubated between in the TSB and aquatic product matrix media.

FIGURE S3

The proteomic profiles of the V. parahaemolyticus ATCC33847 and ATCC17802 strains. (A) ATCC33847. (B) ATCC17802. The intracellular protein spots marked with the numbers in red were the same at similar locations on the proteomic profiles of the 12 V. parahaemolyticus isolates.

FIGURE S4

The expression of several representative genes encoding differential proteins by the RT-PCR assay.

FIGURE S5

The protein, carbohydrate and fat contents of the 12 types of aquatic product matrices.

TABLE S1

Oligonucleotide primers used for the RT-PCR assay in this study.

References

  1. Agarwal D., O’Connor M. (2014). Diverse effects of residues 74-78 in ribosomal protein S12 on decoding and antibiotic sensitivity. Biochem. Biophys. Res. Commun. 445 475–479. 10.1016/j.bbrc.2014.02.031 [DOI] [PubMed] [Google Scholar]
  2. Albalasmeh A. A., Berhe A. A., Ghezzehei T. A. (2013). A new method for rapid determination of carbohydrate and total carbon concentrations using UV spectrophotometry. Carbohydr. Polym. 97 253–261. 10.1016/j.carbpol.2013.04.072 [DOI] [PubMed] [Google Scholar]
  3. Alharbi A., Rabadi S. M., Alqahtani M., Marghani D., Worden M., Ma Z., et al. (2019). Role of peroxiredoxin of the AhpC/TSA family in antioxidant defense mechanisms of Francisella tularensis. PLoS One 14:e0213699. 10.1371/journal.pone.0213699 [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Aslam B., Basit M., Nisar M. A., Khurshid M., Rasool M. H. (2017). Proteomics: technologies and their applications. J. Chromatogr. Sci. 55 182–196. 10.1093/chromsci/bmw167 [DOI] [PubMed] [Google Scholar]
  5. Baker-Austin C., Oliver J. D., Alam M., Ali A., Waldor M. K., Qadri F., et al. (2018). Vibrio spp. infections. Nat. Rev. Dis. Primers. 4:8. 10.1038/s41572-018-0005-8 [DOI] [PubMed] [Google Scholar]
  6. Baumann P., Baumann L., Reichelt J. L. (1973). Taxonomy of marine bacteria: Beneckea parahaemolytica and Beneckea alginolytica. J. Bacteriol. 113 1144–1155. 10.1128/jb.113.3.1144-1155.1973 [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Beis K. (2015). Structural basis for the mechanism of ABC transporters. Biochem. Soc. Trans. 43 889–893. 10.1042/bst20150047 [DOI] [PubMed] [Google Scholar]
  8. Ben-Yaakov R., Salomon D. (2019). The regulatory network of Vibrio parahaemolyticus type VI secretion system 1. Environ. Microbiol. 21 2248–2260. 10.1111/1462-2920.14594 [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Beshiru A., Igbinosa E. O. (2018). Characterization of extracellular virulence properties and biofilm-formation capacity of Vibrio species recovered from ready-to-eat (RTE) shrimps. Microb. Pathog. 119 93–102. 10.1016/j.micpath.2018.04.015 [DOI] [PubMed] [Google Scholar]
  10. Castillo D., Perez-Reytor D., Plaza N., Ramirez-Araya S., Blondel C. J., Corsini G., et al. (2018). Exploring the genomic traits of non-toxigenic Vibrio parahaemolyticus strains isolated in southern chile. Front. Microbiol. 9:161. 10.3389/fmicb.2018.00161 [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Chaitiemwong N., Hazeleger W. C., Beumer R. R. (2010). Survival of Listeria monocytogenes on a conveyor belt material with or without antimicrobial additives. Int. J. Food Microbiol. 142 260–263. 10.1016/j.ijfoodmicro.2010.06.021 [DOI] [PubMed] [Google Scholar]
  12. Chen L., Alali W. (2018). Editorial: recent discoveries in human serious foodborne pathogenic bacteria: resurgence, pathogenesis, and control strategies. Front. Microbiol. 9:2412. 10.3389/fmicb.2018.02412 [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Chen Y., Wu F., Pang H., Tang J., Cai S., Jian J. (2019). Superoxide dismutase B (sodB), an important virulence factor of Vibrio alginolyticus, contributes to antioxidative stress and its potential application for live attenuated vaccine. Fish. Shellf. Immunol. 89 354–360. 10.1016/j.fsi.2019.03.061 [DOI] [PubMed] [Google Scholar]
  14. Cheng Z. X., Chu X., Wang S. N., Peng X. X., Li H. (2018). Six genes of ompA family shuffling for development of polyvalent vaccines against Vibrio alginolyticus and Edwardsiella tarda. Fish. Shellf. Immunol. 75 308–315. 10.1016/j.fsi.2018.02.022 [DOI] [PubMed] [Google Scholar]
  15. Chiang M. L., Chou C. C. (2008). Expression of superoxide dismutase, catalase and thermostable direct hemolysin by, and growth in the presence of various nitrogen and carbon sources of heat-shocked and ethanol-shocked Vibrio parahaemolyticus. Int. J. Food Microbiol. 121 268–274. 10.1016/j.ijfoodmicro.2007.11.001 [DOI] [PubMed] [Google Scholar]
  16. Christensen D. G., Xie X., Basisty N., Byrnes J., McSweeney S., Schilling B., et al. (2019). Post-translational protein acetylation: an elegant mechanism for bacteria to dynamically regulate metabolic functions. Front. Microbiol. 10:1604. 10.3389/fmicb.2019.01604 [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Daviter T., Wieden H. J., Rodnina M. V. (2003). Essential role of histidine 84 in elongation factor Tu for the chemical step of GTP hydrolysis on the ribosome. J. Mol. Biol. 332 689–699. 10.1016/s0022-2836(03)00947-1 [DOI] [PubMed] [Google Scholar]
  18. De Nisco N. J., Kanchwala M., Li P., Fernandez J., Xing C., Orth K. (2017). The cytotoxic type 3 secretion system 1 of Vibrio rewires host gene expression to subvert cell death and activate cell survival pathways. Sci. Signal. 10:aal4501. 10.1126/scisignal.aal4501 [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. De Souza Santos M., Salomon D., Orth K. (2017). T3SS effector VopL inhibits the host ROS response, promoting the intracellular survival of Vibrio parahaemolyticus. PLoS Pathog. 13:e1006438. 10.1371/journal.ppat.1006438 [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Elmahdi S., DaSilva L. V., Parveen S. (2016). Antibiotic resistance of Vibrio parahaemolyticus and Vibrio vulnificus in various countries: a review. Food Microbiol. 57 128–134. 10.1016/j.fm.2016.02.008 [DOI] [PubMed] [Google Scholar]
  21. Fu L. L., Wang R., Wang Y., Lin J. (2014). Proteomic identification of responsive proteins of Vibrio parahaemolyticus under high hydrostatic pressure. J. Sci. Food Agric. 94 2630–2638. 10.1002/jsfa.6595 [DOI] [PubMed] [Google Scholar]
  22. Fujino T., Miwatani T., Yasuda J., Kondo M., Takeda Y., Akita Y., et al. (1965). Taxonomic studies on the bacterial strains isolated from cases of “shirasu” food-poisoning (Pasteurella parahaemolytica) and related microorganisms. Biken. J. 8 63–71. [PubMed] [Google Scholar]
  23. Ghenem L., Elhadi N., Alzahrani F., Nishibuchi M. (2017). Vibrio parahaemolyticus: a review on distribution, pathogenesis, virulence determinants and epidemiology. Saudi. J. Med. Med. Sci. 5 93–103. 10.4103/sjmms.sjmms_30_17 [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Gonzalez-Rodriguez I., Sanchez B., Ruiz L., Turroni F., Ventura M., Ruas-Madiedo P., et al. (2012). Role of extracellular transaldolase from Bifidobacterium bifidum in mucin adhesion and aggregation. Appl. Environ. Microbiol. 78 3992–3998. 10.1128/aem.08024-11 [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Gordon V. D., O’Halloran T. J., Shindell O. (2015). Membrane adhesion and the formation of heterogeneities: biology, biophysics, and biotechnology. Phys. Chem. Chem. Phys. 17 15522–15533. 10.1039/c4cp05876c [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Hajam I. A., Dar P. A., Shahnawaz I., Jaume J. C., Lee J. H. (2017). Bacterial flagellin-a potent immunomodulatory agent. Exp. Mol. Med. 49:e373. 10.1038/emm.2017.172 [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. He Y., Jin L., Sun F., Hu Q., Chen L. (2016). Antibiotic and heavy-metal resistance of Vibrio parahaemolyticus isolated from fresh shrimps in Shanghai fish markets. China. Environ. Sci. Pollut. Res. Int. 23 15033–15040. 10.1007/s11356-016-6614-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. He Y., Wang H., Chen L. (2015). Comparative secretomics reveals novel virulence-associated factors of Vibrio parahaemolyticus. Front. Microbiol. 6:707. 10.3389/fmicb.2015.00707 [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Hu Q., Chen L. (2016). Virulence and antibiotic and heavy metal resistance of Vibrio parahaemolyticus isolated from crustaceans and shellfish in Shanghai. China. J. Food Prot. 79 1371–1377. 10.4315/0362-028x.Jfp-16-031 [DOI] [PubMed] [Google Scholar]
  30. Jiang W., Han X., Wang Q., Li X., Yi L., Liu Y., et al. (2014). Vibrio parahaemolyticus enolase is an adhesion-related factor that binds plasminogen and functions as a protective antigen. Appl. Microbiol. Biotechnol. 98 4937–4948. 10.1007/s00253-013-5471-z [DOI] [PubMed] [Google Scholar]
  31. Khatoon N., Jamal A., Ali M. I. (2017). Polymeric pollutant biodegradation through microbial oxidoreductase: a better strategy to safe environment. Int. J. Biol. Macromol. 105 9–16. 10.1016/j.ijbiomac.2017.06.047 [DOI] [PubMed] [Google Scholar]
  32. Kim Y. I., Cho J. Y. (2019). Gel-based proteomics in disease research: is it still valuable? Biochim. Biophys. Acta Proteins Proteom. 1867 9–16. 10.1016/j.bbapap.2018.08.001 [DOI] [PubMed] [Google Scholar]
  33. Kumar R., Ahmad F., Rathaur S. (2019). Characterization of filarial phosphoglycerate kinase. Biochimie 165 258–266. 10.1016/j.biochi.2019.08.012 [DOI] [PubMed] [Google Scholar]
  34. Lee P. Y., Chin S. F., Low T. Y., Jamal R. (2018). Probing the colorectal cancer proteome for biomarkers: current status and perspectives. J. Proteomics 187 93–105. 10.1016/j.jprot.2018.06.014 [DOI] [PubMed] [Google Scholar]
  35. Lee P. Y., Saraygord-Afshari N., Low T. Y. (2019). The evolution of two-dimensional gel electrophoresis-from proteomics to emerging alternative applications. J. Chromatogr. A 1615:460763. 10.1016/j.chroma.2019.460763 [DOI] [PubMed] [Google Scholar]
  36. Li L., Meng H., Gu D., Li Y., Jia M. (2019). Molecular mechanisms of Vibrio parahaemolyticus pathogenesis. Microbiol. Res. 222 43–51. 10.1016/j.micres.2019.03.003 [DOI] [PubMed] [Google Scholar]
  37. Li P., Kinch L. N., Ray A., Dalia A. B., Cong Q., Nunan L. M., et al. (2017). Acute hepatopancreatic necrosis disease-causing Vibrio parahaemolyticus strains maintain an antibacterial Type VI secretion system with versatile effector repertoires. Appl. Environ. Microbiol. 83:e0737-17. 10.1128/aem.00737-17 [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Liu G., Zhang M., Chen X., Zhang W., Ding W., Zhang Q. (2015). Evolution of threonine aldolases, a diverse family involved in the second pathway of glycine biosynthesis. J. Mol. Evol. 80 102–107. 10.1007/s00239-015-9667-y [DOI] [PubMed] [Google Scholar]
  39. Liu J., Bai L., Li W., Han H., Fu P., Ma X., et al. (2018). Trends of foodborne diseases in China: lessons from laboratory-based surveillance since 2011. Front. Med. 12 48–57. 10.1007/s11684-017-0608-6 [DOI] [PubMed] [Google Scholar]
  40. Lopatek M., Wieczorek K., Osek J. (2018). Antimicrobial resistance, virulence factors, and genetic profiles of Vibrio parahaemolyticus from seafood. Appl. Environ. Microbiol. 84:e00537-18. 10.1128/aem.00537-18 [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Lun J., Xia C., Yuan C., Zhang Y., Zhong M., Huang T., et al. (2014). The outer membrane protein, LamB (maltoporin), is a versatile vaccine candidate among the Vibrio species. Vaccine 32 809–815. 10.1016/j.vaccine.2013.12.035 [DOI] [PubMed] [Google Scholar]
  42. Luo L., Matthews J. D., Robinson B. S., Jones R. M. (2019). Vibrio parahaemolyticus VopA is a potent inhibitor of cell migration and apoptosis in the intestinal epithelium of Drosophila melanogaster. Infect. Immun. 87:e00669-18. 10.1128/iai.00669-18 [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Luong T. T., Kim E. H., Bak J. P., Nguyen C. T., Choi S., Briles D. E., et al. (2015). Ethanol-induced alcohol dehydrogenase E (AdhE) potentiates pneumolysin in Streptococcus pneumoniae. Infect. Immun. 83 108–119. 10.1128/iai.02434-14 [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Machtel R., Narducci A., Griffith D. A., Cordes T., Orelle C. (2019). An integrated transport mechanism of the maltose ABC importer. Res. Microbiol. 170 321–337. 10.1016/j.resmic.2019.09.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Makino K., Oshima K., Kurokawa K., Yokoyama K., Uda T., Tagomori K., et al. (2003). Genome sequence of Vibrio parahaemolyticus: a pathogenic mechanism distinct from that of V. cholerae. Lancet 361 743–749. 10.1016/s0140-6736(03)12659-1 [DOI] [PubMed] [Google Scholar]
  46. Merrick M. (2014). Post-translational modification of P II signal transduction proteins. Front. Microbiol. 5:763. 10.3389/fmicb.2014.00763 [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Mikhalchik E., Balabushevich N., Vakhrusheva T., Sokolov A., Baykova J., Rakitina D., et al. (2019). Mucin adsorbed by E. coli can affect neutrophil activation in vitro. FEBS. Open Biol. 10 180–196. 10.1002/2211-5463.12770 [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Mizrachi Nebenzahl Y., Blau K., Kushnir T., Shagan M., Portnoi M., Cohen A., et al. (2016). Streptococcus pneumoniae cell-wall-localized phosphoenolpyruvate protein Phosphotransferase can function as an adhesin: identification of its host target molecules and evaluation of its potential as a vaccine. PLoS One 11:e0150320. 10.1371/journal.pone.0150320 [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Mohammadi-Barzelighi H., Nasr-Esfahani B., Bakhshi B., Daraei B., Moghim S., Fazeli H. (2019). Analysis of antibacterial and antibiofilm activity of purified recombinant Azurin from Pseudomonas aeruginosa. Iran. J. Microbiol. 11 166–176. 10.18502/ijm.v11i2.1083 [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Moravec A. R., Siv A. W., Hobby C. R., Lindsay E. N., Norbash L. V., Shults D. J., et al. (2017). Exogenous polyunsaturated fatty acids impact membrane remodeling and affect virulence phenotypes among pathogenic Vibrio species. Appl. Environ. Microbiol. 83:e001415-17. 10.1128/aem.01415-17 [DOI] [PMC free article] [PubMed] [Google Scholar]
  51. Nedergaard Pedersen J., Skov Pedersen J., Otzen D. E. (2018). Liprotides assist in folding of outer membrane proteins. Protein. Sci. 27 451–462. 10.1002/pro.3337 [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Osorio C. R. (2018). T3SS effectors in Vibrios: homology in sequence, diversity in biological functions? Virulence 9 721–723. 10.1080/21505594.2018.1435965 [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Pang H., Li W., Zhang W., Zhou S., Hoare R., Monaghan S. J., et al. (2020). Acetylome profiling of Vibrio alginolyticus reveals its role in bacterial virulence. J. Proteomics 211:103543. 10.1016/j.jprot.2019.103543 [DOI] [PubMed] [Google Scholar]
  54. Park K., Mok J. S., Ryu A. R., Kwon J. Y., Ham I. T., Shim K. B. (2018). Occurrence and virulence of Vibrio parahaemolyticus isolated from seawater and bivalve shellfish of the gyeongnam coast, Korea, in 2004-2016. Mar. Pollut. Bull. 137 382–387. 10.1016/j.marpolbul.2018.10.033 [DOI] [PubMed] [Google Scholar]
  55. Perez-Acosta J. A., Martinez-Porchas M., Elizalde-Contreras J. M., Leyva J. M., Ruiz-May E., Gollas-Galvan T., et al. (2018). Proteomic profiling of integral membrane proteins associated to pathogenicity in Vibrio parahaemolyticus strains. Microbiol. Immunol. 62 14–23. 10.1111/1348-0421.12556 [DOI] [PubMed] [Google Scholar]
  56. Perez-Casal J., Potter A. A. (2016). Glyceradehyde-3-phosphate dehydrogenase as a suitable vaccine candidate for protection against bacterial and parasitic diseases. Vaccine 34 1012–1017. 10.1016/j.vaccine.2015.11.072 [DOI] [PubMed] [Google Scholar]
  57. Proudfoot M., Kuznetsova E., Brown G., Rao N. N., Kitagawa M., Mori H., et al. (2004). General enzymatic screens identify three new nucleotidases in Escherichia coli. biochemical characterization of SurE, YfbR, and YjjG. J. Biol. Chem. 279 54687–54694. 10.1074/jbc.M411023200 [DOI] [PubMed] [Google Scholar]
  58. Radchenko M., Merrick M. (2011). The role of effector molecules in signal transduction by PII proteins. Biochem. Soc. Trans. 39 189–194. 10.1042/bst0390189 [DOI] [PubMed] [Google Scholar]
  59. Raszl S. M., Froelich B. A., Vieira C. R., Blackwood A. D., Noble R. T. (2016). Vibrio parahaemolyticus and Vibrio vulnificus in South America: water, seafood and human infections. J. Appl. Microbiol. 121 1201–1222. 10.1111/jam.13246 [DOI] [PubMed] [Google Scholar]
  60. Rivera I. G., Chowdhury M. A., Huq A., Jacobs D., Martins M. T., Colwell R. R. (1995). Enterobacterial repetitive intergenic consensus sequences and the PCR to generate fingerprints of genomic DNAs from Vibrio cholerae O1, O139, and non-O1 strains. Appl. Environ. Microbiol. 61 2898–2904. 10.1007/BF00873103 [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Rybniker J., Pojer F., Marienhagen J., Kolly G. S., Chen J. M., van Gumpel E., et al. (2014). The cysteine desulfurase IscS of Mycobacterium tuberculosis is involved in iron-sulfur cluster biogenesis and oxidative stress defence. Biochem. J. 459 467–478. 10.1042/bj20130732 [DOI] [PubMed] [Google Scholar]
  62. Salomon D., Gonzalez H., Updegraff B. L., Orth K. (2013). Vibrio parahaemolyticus type VI secretion system 1 is activated in marine conditions to target bacteria, and is differentially regulated from system 2. PLoS One 8:e61086. 10.1371/journal.pone.0061086 [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Salomon D., Kinch L. N., Trudgian D. C., Guo X., Klimko J. A., Grishin N. V., et al. (2014). Marker for type VI secretion system effectors. Proc. Natl. Acad. Sci. U.S.A. 111 9271–9276. 10.1073/pnas.1406110111 [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Shin J. M., Hwang Y. O., Tu O. J., Jo H. B., Kim J. H., Chae Y. Z., et al. (2013). Comparison of different methods to quantify fat classes in bakery products. Food Chem. 136 703–709. 10.1016/j.foodchem.2012.08.033 [DOI] [PubMed] [Google Scholar]
  65. Silva R., Aguiar T. Q., Oliveira C., Domingues L. (2019). Physiological characterization of a pyrimidine auxotroph exposes link between uracil phosphoribosyltransferase regulation and riboflavin production in Ashbya gossypii. Nat. Biotechnol. 50 1–8. 10.1016/j.nbt.2018.12.004 [DOI] [PubMed] [Google Scholar]
  66. Smith C. D., Chattopadhyay D., Pal B. (2011). Crystal structure of Plasmodium falciparum phosphoglycerate kinase: evidence for anion binding in the basic patch. Biochem. Biophys. Res. Commun. 412 203–206. 10.1016/j.bbrc.2011.07.045 [DOI] [PubMed] [Google Scholar]
  67. Tang J., Jia J., Chen Y., Huang X., Zhang X., Zhao L., et al. (2018). Proteomic analysis of Vibrio parahaemolyticus under cold stress. Curr. Microbiol. 75 20–26. 10.1007/s00284-017-1345-4 [DOI] [PubMed] [Google Scholar]
  68. Theodoulou F. L., Kerr I. D. (2015). ABC transporter research: going strong 40 years on. Biochem. Soc. Trans. 43 1033–1040. 10.1042/bst20150139 [DOI] [PMC free article] [PubMed] [Google Scholar]
  69. Thoma J., Ritzmann N., Wolf D., Mulvihill E., Hiller S., Muller D. J. (2017). Maltoporin LamB unfolds beta hairpins along mechanical stress-dependent unfolding pathways. Structure 25 1139–1144. 10.1016/j.str.2017.05.010 [DOI] [PubMed] [Google Scholar]
  70. Thongjun J., Mittraparp-Arthorn P., Yingkajorn M., Kongreung J., Nishibuchi M., Vuddhakul V. (2013). The trend of Vibrio parahaemolyticus infections in Southern Thailand from 2006 to 2010. Trop. Med. Health 41 151–156. 10.2149/tmh.2013-06 [DOI] [PMC free article] [PubMed] [Google Scholar]
  71. Wang R., Sun L., Wang Y., Deng Y., Fang Z., Liu Y., et al. (2018). Influence of food matrix type on extracellular products of Vibrio parahaemolyticus. BMC Microbiol. 18:65. 10.1186/s12866-018-1207-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  72. Wang Y. T., Huang H. Y., Tsai M. A., Wang P. C., Jiang B. H., Chen S. C. (2014). Phosphoglycerate kinase enhanced immunity of the whole cell of Streptococcus agalactiae in tilapia, Oreochromis niloticus. Fish Shellf. Immunol. 41 250–259. 10.1016/j.fsi.2014.09.008 [DOI] [PubMed] [Google Scholar]
  73. Wilson D. N. (2014). Ribosome-targeting antibiotics and mechanisms of bacterial resistance. Nat. Rev. Microbiol. 12 35–48. 10.1038/nrmicro3155 [DOI] [PubMed] [Google Scholar]
  74. Wilson D. N. (2016). The ABC of ribosome-related antibiotic resistance. mBio 7:e0598-16. 10.1128/mBio.00598-16 [DOI] [PMC free article] [PubMed] [Google Scholar]
  75. Xu M., Wu J., Chen L. (2019). Virulence, antimicrobial and heavy metal tolerance, and genetic diversity of Vibrio cholerae recovered from commonly consumed freshwater fish. Environ. Sci. Pollut. Res. Int. 26 27338–27352. 10.1007/s11356-019-05287-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  76. Yang C., Zhang X., Fan H., Li Y., Hu Q., Yang R., et al. (2019). Genetic diversity, virulence factors and farm-to-table spread pattern of Vibrio parahaemolyticus food-associated isolates. Food Microbiol. 84:103270. 10.1016/j.fm.2019.103270 [DOI] [PubMed] [Google Scholar]
  77. Yang B., Zhang D., Wu T., Zhang Z., Raza S. H. A., Schreurs N., et al. (2019). Maltoporin (LamB protein) contributes to the virulence and adhesion of Aeromonas veronii TH0426. J. Fish Dis. 42 379–389. 10.1111/jfd.12941 [DOI] [PubMed] [Google Scholar]
  78. Yang W., Ding D., Zhang C., Zhou J., Su X. (2015). iTRAQ-based proteomic profiling of Vibrio parahaemolyticus under various culture conditions. Proteome Sci. 13:19. 10.1186/s12953-015-0075-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  79. Yang Y., Xie J., Li H., Tan S., Chen Y., Yu H. (2017). Prevalence, antibiotic susceptibility and diversity of Vibrio parahaemolyticus isolates in seafood from south China. Front. Microbiol. 8:2566. 10.3389/fmicb.2017.02566 [DOI] [PMC free article] [PubMed] [Google Scholar]
  80. Yao J., Rock C. O. (2017). Exogenous fatty acid metabolism in bacteria. Biochimie 141 30–39. 10.1016/j.biochi.2017.06.015 [DOI] [PMC free article] [PubMed] [Google Scholar]
  81. Zhang L., Orth K. (2013). Virulence determinants for Vibrio parahaemolyticus infection. Curr. Opin. Microbiol. 16 70–77. 10.1016/j.mib.2013.02.002 [DOI] [PubMed] [Google Scholar]
  82. Zhang X., Xiao F., Li S. (2018). China Fishery Statistical Yearbook 2018. Beijing: China Agriculture Press. [Google Scholar]
  83. Zhong Q., Wang B., Wang J., Liu Y., Fang X., Liao Z. (2019). Global proteomic analysis of the resuscitation state of Vibrio parahaemolyticus compared with the normal and viable but non-culturable state. Front. Microbiol. 10:1045. 10.3389/fmicb.2019.01045 [DOI] [PMC free article] [PubMed] [Google Scholar]
  84. Zhu C., Sun B., Liu T., Zheng H., Gu W., He W., et al. (2017). Genomic and transcriptomic analyses reveal distinct biological functions for cold shock proteins (VpaCspA and VpaCspD) in Vibrio parahaemolyticus CHN25 during low-temperature survival. BMC Genomics 18:436. 10.1186/s12864-017-3784-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  85. Zhu Z., Dong C., Weng S., He J. (2019). Identification of outer membrane protein TolC as the major adhesin and potential vaccine candidate for Vibrio harveyi in hybrid grouper, Epinephelus fuscoguttatus (female symbol) x E. lanceolatus (male symbol). Fish Shellf Immunol. 86 143–151. 10.1016/j.fsi.2018.11.037 [DOI] [PubMed] [Google Scholar]
  86. Ziveri J., Tros F., Guerrera I. C., Chhuon C., Audry M., Dupuis M., et al. (2017). The metabolic enzyme fructose-1,6-bisphosphate aldolase acts as a transcriptional regulator in pathogenic Francisella. Nat. Commun. 8:853. 10.1038/s41467-017-00889-7 [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

FIGURE S1

The secretomic profiles of the V. parahaemolyticus ATCC33847 and ATCC17802 strains by the 2D-GE analysis. (A) ATCC33847. (B) ATCC17802. The protein spots marked with blue circles and the numbers in red were the same at similar locations on the secretomic profiles of the 12 V. parahaemolyticus isolates. pI, isoelectric point.

FIGURE S2

The GO functional classification of the differential intracellular proteins. (A) The differential intracellular proteins of 12 V. parahaemolyticus isolates. (B) The differential intracellular proteins of the 12 V. parahaemolyticus isolates incubated between in the TSB and aquatic product matrix media.

FIGURE S3

The proteomic profiles of the V. parahaemolyticus ATCC33847 and ATCC17802 strains. (A) ATCC33847. (B) ATCC17802. The intracellular protein spots marked with the numbers in red were the same at similar locations on the proteomic profiles of the 12 V. parahaemolyticus isolates.

FIGURE S4

The expression of several representative genes encoding differential proteins by the RT-PCR assay.

FIGURE S5

The protein, carbohydrate and fat contents of the 12 types of aquatic product matrices.

TABLE S1

Oligonucleotide primers used for the RT-PCR assay in this study.

Data Availability Statement

The datasets generated for this study are available on request to the corresponding author.


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