Next Article in Journal
Are the Interactions between Oaks and Pre-Dispersal Seed Predators Retained in Urban Environments? An Analysis of Two Quercus Species in Southern Mexico City
Next Article in Special Issue
Genomic Diversity of Bradyrhizobium from the Tree Legumes Inga and Lysiloma (Caesalpinioideae-Mimosoid Clade)
Previous Article in Journal
Evolution of Reproductive Traits and Implications for Adaptation and Diversification in the Yam Genus Dioscorea L.
Previous Article in Special Issue
Tracking the Origins of Pseudomonas aeruginosa Phylogroups by Diversity and Evolutionary Analysis of Important Pathogenic Marker Genes
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Diversity
Volume 14
Issue 5
10.3390/d14050350
diversity-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Survival and Genome Diversity of Vibrio parahaemolyticus Isolated from Edible Aquatic Animals

by
Dingxiang Xu
1,
Xu Peng
2,
Lu Xie
3 and
Lanming Chen
1,*
1
Key Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai), Ministry of Agriculture and Rural Affairs of China, College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
2
Department of Biology, University of Copenhagen, DK 2200 Copenhagen N, Denmark
3
Institute for Genome and Bioinformatics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai 201203, China
*
Author to whom correspondence should be addressed.
Diversity 2022, 14(5), 350; https://doi.org/10.3390/d14050350
Submission received: 19 March 2022 / Revised: 18 April 2022 / Accepted: 18 April 2022 / Published: 29 April 2022
(This article belongs to the Special Issue Recent Trends in Bacterial Diversity and Evolution)
Browse Figures
Review Reports Versions Notes

Abstract

:
Vibrio parahaemolyticus can cause acute gastroenteritis, wound infection, and septicemia in humans. The waterborne bacterium is frequently isolated from aquatic products worldwide. Nevertheless, little information in genome evolution of V. parahaemolyticus isolated from aquatic animals is yet available. Here we overcome this limitation by specifying six V. parahaemolyticus isolates recovered from edible shellfish, fish, and crustacean. Most isolates with multiple resistance phenotypes grew optimally at 3% NaCl and pH 8.5. Draft genome sequences of the six V. parahaemolyticus isolates (4,937,042 bp to 5,067,778 bp) were determined using the Illumina Hiseq × 10 sequencing platform. Comparative genomic analyses revealed 4622 to 4791 predicted protein-encoding genes, of which 1064 to 1107 were of unknown function. Various mobile genetic elements (MGEs) were identified in the V. parahaemolyticus genomes, including genome islands (n = 5 to 9), prophage gene clusters (n = 0 to 2), integrons (n = 1 to 11), and insertion sequences (n = 0 to 3). A number of antibiotic-resistant (n = 17 to 20), virulence-associated (n = 77 to 79), and strain-specific (n = 131 to 287) genes were also identified, indicating possible horizontal gene transfer via the MGEs and considerable genome variation in the V. parahaemolyticus isolates. Altogether, the results of this study fill prior gaps in our knowledge of the genome evolution of V. parahaemolyticus, as isolated from edible aquatic animals.

1. Introduction

Vibrio parahaemolyticus is a Gram-negative bacterium that resides in warm estuarine and marine environments worldwide [1,2]. The bacterium was originally identified in 1950 in Osaka, Japan, where an outbreak of acute gastroenteritis, caused by contaminated semi-dried juvenile sardines, sickened 272 and killed 20 people [3]. It has been estimated that 80,000 cases of V. parahaemolyticus infection occur every year; hospitalization and mortality rates thereof were 22% and 1%, respectively [4]. In China, V. parahaemolyticus has been identified as the leading cause of foodborne outbreaks, especially in coastal regions [5,6]. Toxic V. parahaemolyticus isolates have been found to carry two main virulence genes tdh and trh, encoding a thermostable direct hemolysin (TDH) and a TDH-related hemolysin, respectively [7,8].
V. parahaemolyticus is frequently isolated from aquatic products worldwide [5,9]. In tandem with rapidly expanding aquaculture, the inappropriate use of antimicrobial agents is challenging food safety systems and human health, particularly in developing countries [10]. Antibiotic residues have been detected in aquatic environments and aquatic products [11,12,13]. For instance, Ni et al. recently reported that 10 commonly used antimicrobial drugs were detected in 14 species of edible aquatic animal samples (n = 108) that were collected in large aquatic markets in the summers of 2018 and 2019 in Shanghai, China, showing an overall detection frequency of 61.3% [11]. Antimicrobial-resistant V. parahaemolyticus strains recovered from aquatic products have also been reported worldwide [12,13]. For example, Su et al. reported a total of 561 V. parahaemolyticus isolates recovered from 23 species of edible aquatic animals. High percentages of resistance to ampicillin (AMP) (93.0%), rifampin (RIF) (82.9%), streptomycin (SM) (75.4%), and kanamycin (KAN) (50.1%) were observed among the isolates [13]. Meanwhile, a high incidence of tolerance to heavy metals such as mercury (Hg) (74.7%) and zinc (Zn) (56.2%) was also observed [13]. Heavy metals can co-select for resistance to clinically important antibiotics in ecosystems [2].
Aquatic ecosystems are known to be antibiotic-resistant gene pools [14], where the dissemination of resistance genes could partially be attributed to horizontal gene transfer (HGT), mediated via mobile genetic elements (MGEs) such as integrons, transposons, and phages [15,16]. HGT in prokaryotes is mainly achieved through three mechanisms, including transformation, conjugation, and transduction [17,18,19]. HGT mediated by MGEs in V. parahaemolyticus isolates recovered from seawater in Dalian and Donggang in China was observed, which might enable V. parahaemolyticus to adapt to the environment [1].
In concert with increasing breakthroughs in genome sequencing technology [20], the number of genome sequencing projects focused on V. parahaemolyticus isolates has clearly increased. A total of 1718 V. parahaemolyticus isolates have been sequenced (GenBank database, https://www.ncbi.nlm.nih.gov/, accessed on 17 September 2021), among which, complete genome sequences of 63 V. parahaemolyticus isolates are now available. Nevertheless, few studies on comparative genome analyses of these V. parahaemolyticus genomes have yet been conducted [3,8,21,22].
In our previous studies, a number of V. parahaemolyticus strains were isolated from various commonly consumed aquatic products and characterized [8,13,23]. Of these, the complete genome sequence of V. parahaemolyticus CHN25 strain, isolated from shrimp, has been determined using the 454-pyrosequencing technique [24]. MGEs, including insertion sequences (ISs) (n = 5), prophages (n = 5), and integrative and conjugative elements (ICEs) (n = 1), were identified in V. parahaemolyticus CHN25 genome [24]. Based on our previous studies, we therefore asked what genome features of the V. parahaemolyticus isolates might originate in other species of edible aquatic animals. Thus, the major objectives of this study were (1) to examine the survival of V. parahaemolyticus isolates recovered from six species of edible shellfish, fish, and crustaceans at different pH and NaCl conditions; (2) to determine draft genome sequences of the six V. parahaemolyticus isolates showing multiple resistance phenotypes using the Illumina Hiseq × 10 (Illumina, San Diego, CA, USA) sequencing technique; (3) to identify MGEs and virulence- and resistance-related genes in the V. parahaemolyticus genomes. To the best of our knowledge, this study was the first to perform comparative genomics analysis of V. parahaemolyticus isolates recovered from the six species of edible aquatic animals. The results in this study will enrich genome data and fill gaps in our knowledge of genome evolution of V. parahaemolyticus isolates originating in edible aquatic animals.

2. Materials and Methods

2.1. V. parahaemolyticus Isolates and Culture Conditions

V. parahaemolyticus N3-33, N4-46, N8-42, L7-7, Q8-15, and N1-22 isolates (Table 1) were recovered from three species of shellfish: Paphia undulate, Perna viridis, Mactra veneriformis; two species of fish: Aristichthys nobilis, Carassius auratu; and one species of crustacean: Litopenaeus vannamei, respectively [13]. The isolates were stored at −80 °C in a freezer in our laboratory at Shanghai Ocean University, Shanghai, China. V. parahaemolyticus isolates were individually inoculated in Tryptone Soya Broth (TSB) medium (Beijing Land Bridge Technology, Beijing, China) and incubated with shaking at 175 rpm at 37 °C. The pH and salinity of the TSB medium were adjusted as described previously [23]. Growth curves were determined using a Multimode Microplate Reader (BioTek Instruments, Winooski, VT, USA), and the OD600nm value was used as a parameter for bacterial biomass [25].

2.2. Genomic DNA Preparation

Bacterial cells grown to the logarithmic growth phase in TSB medium (3% NaCl, pH 8.5) at 37 °C were harvested by centrifugation at 2700× g for 10 min at 4 °C. Genomic DNA was prepared using a TIANamp Bacteria DNA Kit (Tiangen Biochemical Technology Co Ltd., Beijing, China) according to the instructions of the manufacturer. Extracted DNA samples were analyzed by agarose gel electrophoresis, and DNA concentration and purity (A260/A280) were measured as described previously [26]. Only pure genomic DNA samples (a 260/280 nm absorbance ratio of 1.8–2.0) were used for genome sequencing.

2.3. PCR Assay

The primers (Table S1) were synthesized by Sangon Biotech (Shanghai, China) Co., Ltd. (Shanghai, China); 20 μL of PCR reaction system and reaction condition were the same as described previously [13]. PCR reactions were performed using Mastercycler Rpro PCR thermal cycler (Eppendorf, Hamburg, Germany). Amplicons were analyzed by agarose gel electrophoresis, then visualized and recorded as described previously [13]. PCR products were sequenced by Sangon (Shanghai, China).

2.4. Genome Sequencing, Assembly, and Annotation

Whole-genome sequencing of the V. parahaemolyticus isolates was conducted at Shanghai Majorbio Bio-Pharm Technology Co., Ltd. (Shanghai, China) using the Illumina Hiseq × 10 (Illumina, San Diego, CA, USA) platform. The PE150 (pair-end) sequencing (insert size: 400 bp) was performed with a read length of 150 bp. Low-quality sequence filtering and high-quality sequence assembly were performed using SOAPdenovo (version 2.04) software [27]. The processes included: (1) removing adapter sequences in sequencing reads; (2) shearing and removing non-A, G, C and T bases at the 5′ end of reads; (3) trimming the ends of reads with sequencing quality values less than Q20; (4) removing reads with 10% of N base; (5) discarding small fragments less than 25 bp after the trimming of adapter and low-quality sequences. The coding sequences (CDSs) were predicted using Glimmer (version 3.02) software [28]; rRNA genes were predicted using Barrnap tool (https://github.com/tseemann/barrnap, accessed on 11 April 2021); and tRNA genes were detected using tRNAscan-SE (version 2.0) software [29]. The programs were run with default parameters [27,28,29].
Functional assignments were inferred using standalone Basic Local Alignment Search Tool (BLAST) (http://www.ncbi.nlm.nih.gov/BLAST, accessed on 11 April 2021) searches against the non-redundant protein database of the National Center for Biotechnology Information (NCBI, http://www.ncbi.nlm.nih.gov, accessed on 11 April 2021) and the clusters of orthologous groups (COG) database [30]. Each predicted protein was annotated if it met the same criteria as described previously [26]. Each gene was also functionally classified by assigning a COG number with 80% identity and 90% coverage at E ≤ 1 × 10−5. If the COG did not have a specially appointed function with CDS, the comment was function unknown. The virulence factor database (http://www.mgc.ac.cn/VFs, accessed on 11 April 2021) and antibiotic resistance gene database (http://arpcard.Mcmaster.ca, accessed on 11 April 2021) were used to detect virulence- and antibiotic-resistant-associated genes, respectively.

2.5. Prediction of MGEs

The assembled contigs of each genome were subjected to the following MGEs analyses. Genome islands (GIs) were predicted using IslandViewer software (version 1.2) [31]. Prophages were predicted using Phage_Finder software [32]. CRISPR-Cas systems were predicted using Mined software (version 3) and CRISPRtyper (https://cctyper.crispr.dk/#/submit accessed on 11 April 2021) [33]. Integrons were predicted using Integron_Finder software (version 2.0) [34]. Insertion sequences (ISs) were predicted using ISEScan software (version 1.7.2.1) [35]. The programs were run with default parameters [31,32,33,34,35]. ICEs were predicted by searching ICEs and chromosomal junction sequences within the prfC gene, and conserved core genes of SXT/R391 ICEs as described previously [36].

2.6. Comparative Genome Analysis

The core genes are the set of genes that encode orthologous proteins in all the analyzed genomes, while the pan-genes are the set of all genes that are present in all the analyzed genomes. Orthologous genes were analyzed using OrthoMCL software [37]. Orthologous proteins were assigned only for proteins sharing both 60% amino acid identity and 80% sequence coverage, and those with lower than 30% or no hits were assigned as strain-specific genes at E ≤ 1 × 10−5.
To construct a phylogenetic tree, amino acid data sets of single-copy orthologs that were present in all the analyzed genomes were inferred and aligned using OrthoFinder (version 2.2.6) and MUSCLE software [38,39]. The maximum likelihood approach was used to construct a phylogenomic tree using RAxML (version 8) software [40] with 1000 bootstrap replications, and the cutoff threshold for bootstrap values was above 50%.

3. Results

3.1. Genotypes and Phenotypes of the Six V. parahaemolyticus Isolates

The V. parahaemolyticus L7-7, N1-22, N3-33, N4-46, N8-42, and Q8-15 isolates (Table 1), which were recovered from the six species of edible aquatic animals, were confirmed by 16S rDNA gene sequencing and analysis. The obtained sequences were deposited in the Genbank database under the accession numbers shown in Table 1.
All the V. parahaemolyticus isolates were detected as negative for the toxins-encoding genes tdh and trh. However, they were resistant to ampicillin (AMP) and rifampin (RIF), and most to tetracycline (TET) (n = 5). Tolerance to Zn2+ and Hg2+ was common among the V. parahaemolyticus isolates [13].

3.2. Survival of the Six V. parahaemolyticus Isolates at Different pH and NaCl Conditions

Human acidic stomach environment (usually 1.0 to 3.0, but it can rise to more than 6.0 after eating) challenges V. parahaemolyticus survival and infection in humans [23]. Therefore, we examined the survival of the six V. parahaemolyticus isolates at different pH conditions (pH 6.0–8.5) in TSB medium (3% NaCl) at 37 °C. As illustrated in Figure 1A–F), in the acidic conditions (pH 6.0–6.5), the growth of all the V. parahaemolyticus isolates was severely inhibited, and the maximum OD600nm values after reaching the stationary phase (SP) ranged from 0.79 to 0.92; in the neutral condition (pH 7.0), V. parahaemolyticus N1-22 isolated from crustacean L. vannamei grew vigorously (OD600nm = 1.59) (Figure 1B), whereas the other isolates still grew poorly (Figure 1A,C–F); in alkaline conditions (pH 7.5 to 8.5), all the V. parahaemolyticus isolates grew well with the maximum biomass at SP ranging from 1.21 to 1.49 at pH 8.5 (Figure 1).
The survival of V. parahaemolyticus in aquatic environments is often challenged by salinity [21]. Therefore, growth curves of the six V. parahaemolyticus isolates in TSB (pH 8.5) at 37 °C were determined at different NaCl concentrations (0.5% to 5%). As illustrated in Figure 2A–F, the growth of all the V. parahaemolyticus isolates was inhibited at 0.5% NaCl. Although these isolates grew exuberantly at 1% to 5% NaCl, the highest biomass was observed when the isolates grew at 3% NaCl, showing the maximum OD600nm values at SP ranging from 1.35 to 1.44. The results demonstrated that the six V. parahaemolyticus isolates of edible aquatic animal origins were halophilic and grew optionally at 3% NaCl and pH 8.5.

3.3. Genome Features of the Six V. parahaemolyticus Isolates Originating in Edible Aquatic Animals

Draft genome sequences of the six V. parahaemolyticus isolates were determined using the Illumina Hiseq × 10 (Illumina, San Diego, CA, USA) sequencing platform. Approximately 59,132 to 97,812 clean single reads were obtained. The final assembly yielded 36 to 77 scaffolds with the sequencing depth (on average) of 220.27-fold to 285.8-fold, which varied as a typical Poisson distribution, showing a clean single peak in the frequency of observed unique 17-mers within the sequencing data. No taper at the end of scaffolds or contigs was observed, suggesting less repetitive DNA in the genomes (0.61% to 0.79%) (Figure S1).
The obtained genome sizes ranged from 4,937,042 bp to 5,067,778 bp with GC contents from 45.20% to 45.39%. A total of 4749 to 4919 genes were predicted, including 4622 to 4791 protein-coding genes. Among these, approximately 3852 to 3892 genes were classified into 22 functional catalogues in the COG database. Remarkably, the unknown function genes (S) accounted for the largest proportion (27.55% to 28.49%) (Table 1, Figure 3).
The six V. parahaemolyticus genomes contained genes for essential cellular metabolisms, such as nucleotide transport and metabolism, energy production and conversion, and carbohydrate transport and metabolism. Most genes involved in information storage and processing were also present in the V. parahaemolyticus genomes, including those required for transcription, translation, and ribosomal structure. The genes responsible for cellular processes and signaling (such as defense mechanisms, signal transduction mechanisms, and cell motility) were also identified. Additionally, the six V. parahaemolyticus genomes also carried numerous transposase genes (n = 28) and diverse MGEs including GIs (n = 39), prophage gene clusters (n = 5), integrons (n = 33) and ISs (n = 6), suggesting the possibility of HGT mediated by the MGEs during the V. parahaemolyticus genome evolution. Notably, only one of these identified MGEs (the IS002 in V. parahaemolyticus L7-7 genome) existed at the end of one of the scaffolds (Tables S2–S4), which indicated that the assembled draft genomes did not cause the identified MGEs (except this IS002) to be missing.
The draft genomes of the V. parahaemolyticus L7-7, N1-22, N3-33, N4-46, N8-42, and Q8-15 isolates were deposited in GenBank database under the accession numbers JAHRCZ000000000, JAHRDA000000000, JAHRDB000000000, JAHRDC000000000, JAHRDD000000000, and JAHQCP000000000.

3.4. Phylogenetic Relatedness of the Six V. parahaemolyticus Isolates Originating in Edible Aquatic Animals

As shown in Figure 4, a phylogenetic tree was construed on the basis of a total of 3447 homologous amino acid sequences identified from 69 V. parahaemolyticus genomes analyzed in this study, among which complete genome sequences of 63 V. parahaemolyticus genomes were available and retrieved from the GenBank database. Among the engaged 63 V. parahaemolyticus isolates, 36 isolates were derived from human, followed by penaeus (n = 14) and homo sapiens (n = 9), while 4 isolates were recovered from the environment from finespotted flounder, shrimp, and toothfish. This analysis revealed seven distinct clusters, designated as Clusters A to G (Figure 4). Among them, V. parahaemolyticus N3-33 (GenBank accession no. JAHRDB000000000) recovered from P. undulate had the closest evolutionary distance with V. parahaemolyticus FDAARGOS_667 (GenBank accession no. NZ_CP044062.1) isolated from homo sapiens, which were classified into Clusters C and B, respectively. Both these strains were phylogenetically closer to V. parahaemolyticus L7-7 (GenBank accession no. JAHRCZ000000000) from A. nobilis, which fell into a single clade (Cluster A). Similarly, V. parahaemolyticus N8-42 (GenBank accession no. JAHRDD000000000) from M. veneriformis (Cluster E) was closer to V. parahaemolyticus FORC_072 (GenBank accession no. NZ_CP023472.1) originating in human. The latter was grouped into Cluster F together with V. parahaemolyticus N4-46 (GenBank accession no. JAHRDC000000000) from P. viridis. Additionally, V. parahaemolyticus N1-22 (GenBank accession no. JAHRDA000000000) from L. vannamei was classified into a subclade in Cluster G, together with V. parahaemolyticus PB1937 (GenBank accession no. NZ_CP022243.1) originating in human. Although V. parahaemolyticus Q8-15 (GenBank accession no. JAHQCP000000000) from C. auratus was also grouped into Cluster G, it was phylogenetically distant from the other five V. parahaemolyticus genomes sequenced in this study. The Q8-15 isolate had closer evolutionary relatedness with V. parahaemolyticus 20160303005-1 (GenBank accession no. NZ_CP034298.1) isolated from penaeus (Cluster G) (Figure 4). These results demonstrated genome diversity of the V. parahaemolyticus isolates originating in the six species of edible aquatic animals.

3.5. Diverse MGEs in the Six V. parahaemolyticus Genomes of Edible Aquatic Animal Origins

3.5.1. GIs

GIs can carry large foreign DNA fragments (~200 Kb) that benefit bacterial survival in hosts and in the environment [41,42]. In this study, a total of 39 GIs (Table S2) were identified in the six V. parahaemolyticus genomes, which contained 5 to 9 GIs ranging from 4022 bp to 85,856 bp, carrying 3 to 79 genes. Diverse biological functions were observed among the genes carried by the GIs (Figure 5).
For instance, V. parahaemolyticus N1-22 originating in L. vannamei contained the maximum number of GIs (n = 9, designated as GI 1 to GI 9), which ranged from 9240 bp to 85,856 bp. The largest GI 1 (85,856 bp) carried 79 genes, 18 of which had known functions, including a lipoprotein (Vp N1-22_0320), a DUF262 domain-containing protein (Vp N1-22_0322), an AAA family ATPase (Vp N1-22_0323), a type III restriction-modification system endonuclease (Vp N1-22_0324), a site-specific DNA-methyltransferase (Vp N1-22_0325), CreA family proteins (Vp N1-22_0326, Vp N1-22_0396), an ATP-binding protein (Vp N1-22_0327), a DUF4113 domain-containing protein (Vp N1-22_0329), a S24 family peptidase (Vp N1-22_0330), XRE family transcriptional regulators (Vp N1-22_0363, Vp N1-22_0368), a SAM-dependent DNA methyltransferase (Vp N1-22_0369), a DUF285 domain-containing protein (Vp N1-22_0372), a DNA adenine methylase (Vp N1-22_0386), recombinase family proteins (Vp N1-22_0394, Vp N1-22_0395), and an inosine/guanosine kinase (Vp N1-22_0397). The other genes coded for unknown proteins (n = 61).
Remarkably, there were 9 identified GIs carrying virulence-related genes, including the GI 1 and GI 2 in V. parahaemolyticus N1-22 genome; the GI 3 in V. parahaemolyticus Q8-15 genome; the GI 3 in V. parahaemolyticus L7-7 genome; the GI 4 in V. parahaemolyticus N3-33 genome; the GI 5 and GI 6 in V. parahaemolyticus N4-46 genome; and the GI 1 and GI 2 in V. parahaemolyticus N8-42 genome. For example, 7 GIs were identified in V. parahaemolyticus N8-42 isolated from M. veneriformis. Among them, the GI 2 (31,937 bp) was the longest and carried 28 genes, 10 of which have known functions, including a type III toxin-antitoxin system ToxN/AbiQ family toxin (Vp N8-42_1768), a helix-turn-helix domain-containing protein (Vp N8-42_1769), a replication protein P (Vp N8-42_1775), a type IV secretion system (T4SS) DNA-binding domain-containing protein (Vp N8-42_1779), a relaxase domain-containing protein (Vp N8-42_1780), IS5 family transposases (Vp N8-42_1785, Vp N8-42_1791), an AAA family ATPase (Vp N8-42_1792), a site-specific integrase (Vp N8-42_1794), and an xYicC family protein (Vp N8-42_1795). The other genes coded for unknown proteins (n = 18). Interestingly, the GI 3, and GI 4 in V. parahaemolyticus Q8-15, and N8-42 genomes contained the same gene (Vp Q8-15_1623; Vp N8-42_2908) encoding a type II toxin-antitoxin system RelE/ParE family toxin. The GI 7, GI 2, GI 3, and GI 4 in V. parahaemolyticus N1-22, Q8-15, L7-7, and N3-33 genomes carried the same SmpB gene (Vp N1-22_3937; Vp Q8-15_2778; Vp L7-7_3357; Vp N3-33_2957), which encoded an SsrA-binding protein, SmpB, that was crucial to the virulence expression of pathogenic Aeromonas veronii [43].
Additionally, the genes encoding hydrolysis enzymes, chemotaxis proteins, stress regulators, and resistance-related proteins were also identified in some GIs in the six V. parahaemolyticus genomes. For example, there were two identified GIs carrying heavy-metal-tolerance-related genes: specifically, the GI 6 and GI 4 in the V. parahaemolyticus L7-7 and N8-42 genomes, respectively. Of these, the gene encoding a zinc uptake transcriptional repressor Zur (Vp L7-7_4298) was identified in the GI 6 of V. parahaemolyticus L7-7, which was an important regulator of bacterial zinc metabolism [44].
Interestingly, there were several GIs carrying phage regulator genes, such as the GI 2 and GI 6 in V. parahaemolyticus N1-22; the GI 3 in V. parahaemolyticus L7-7; the GI 3 in V. parahaemolyticus N3-33; the GI 3 and GI 6 in V. parahaemolyticus N4-46; and the GI 5 in V. parahaemolyticus N8-42. For example, the GI 2 in V. parahaemolyticus N1-22 genome contained the Vp N1-22_1312 and Vp N1-22_1310 genes encoding a phage regulatory CII family protein and a phage repressor protein CI, respectively, while the GI 6 contained the Vp N1-22_3646 gene encoding a phage integrase family protein. Similarly, the gene (Vp L7-7_3352; Vp N4-46_3330; Vp N8-42_3479) encoding an AlpA family phage regulatory protein was identified in the GI 3, GI 3, and GI 5 in V. parahaemolyticus L7-7, N4-46, and N8-42 genomes, respectively.

3.5.2. Prophages

Prophages are closely related to bacterial pathogenicity, especially via the transfer of virulence factors [45]. In this study, five prophage gene clusters were identified in V. parahaemolyticus N1-22, N4-46, N8-42, and Q8-15 genomes (Table S3), but absent from V. parahaemolyticus L7-7, and N3-33 genomes. The latter two genomes also contained several phage regulator genes, implying possible phage DNA integration during their genome evolution. The identified prophage gene clusters ranged from 10,131 bp to 32,968 bp and encompassed 13 to 40 genes (Figure 6). V. parahaemolyticus N8-42 genome contained two prophage gene clusters with sequence similarity to Vibrio_phage_K139 (33,106 bp, NCBI accession number: NC_003313) and Vibrio_phage_fs2 (8651 bp, NCBI accession number: NC_001956), respectively. V. parahaemolyticus N4-46, Q8-15, and N1-22 genomes contained one homologous prophage similar to Pseudomonas_phage_D3 (56,426 bp, NCBI accession number: NC_002484), Pseudomonas_phage_D3, and Vibrio_phage_K139 (33,106 bp, NCBI accession number: NC_003313), respectively.
For example, in V. parahaemolyticus N8-42 genome, the identified Vibrio_phage_K139 (32,968 bp) encoded 40 genes, including eight phage-related genes such as phage tail proteins (Vp N8-42_2875, Vp N8-42_2889), a baseplate J/gp47 family protein (Vp N8-42_2877), a phage tail tape measure protein (Vp N8-42_2879), a head completion/stabilization protein (Vp N8-42_2890), a phage major capsid protein and P2 family protein (Vp N8-42_2892), a phage portal protein (Vp N8-42_2895), and a phage regulatory CII family protein (Vp N8-42_2903). There were 15 genes encoding functional proteins, e.g., a hemolysin (Vp N8-42_2876), a DUF2590 family protein (Vp N8-42_2878), a TraR/DksA C4-type zinc finger protein (Vp N8-42_2885), a DUF2597 family protein (Vp N8-42_2886), a DUF2586 family protein (Vp N8-42_2887), terminases (Vp N8-42_2891, Vp N8-42_2894), a GPO family capsid scaffolding protein (Vp N8-42_2893), an ogr/Delta-like zinc finger family protein (Vp N8-42_2896), a helix-turn-helix domain-containing protein (Vp N8-42_2905), a DUF262 domain-containing protein (Vp N8-42_2906), a DUF3696 domain-containing protein (Vp N8-42_2907), a type II toxin-antitoxin system RelE/ParE family toxin (Vp N8-42_2908), a peptidoglycan DD-metalloendopeptidase family protein (Vp N8-42_2909), and a tyrosine-type recombinase/integrase (Vp N8-42_2910). Additionally, 17 genes encoded unknown proteins. Our results provided additional evidence for the existence of Vibrio_phage_K139 homologues in V. parahaemolyticus isolates [46].
The V. parahaemolyticus N8-42 genome also contained Vibrio_phage_fs2 (10,537 bp), the shortest prophage identified in this study. The identified Vibrio_phage_fs2 contained 13 genes, 7 of which coded for known proteins, e.g., bacterial type II and III secretion (T2SS and T3SS) family protein (gspD) (Vp N8-42_0752). The conserved GspD secreted by T2SS was a putative functionally important protein in pathogenic Leptospira interrogans [47].
The Pseudomonas_phage_D3 homologues (22,614 bp; 22,820 bp) were identified in V. parahaemolyticus N4-46, and Q8-15 genomes, respectively. They carried 28 and 29 genes, 10 of which coded for known proteins. Of these, although phage major structure genes were missing, the cspA gene (Vp N4-46_4569; Vp Q8-15_2045) encoding a cold-shock protein was identified, which played a crucial role in adapting to the adverse environment—including environmental behaviors of antibiotics in Himalayan psychrotolerant Pseudomonas strains [48]. Notably, the presence of Pseudomonas_phage_D3 homologues in V. parahaemolyticus N4-46, and Q8-15 genomes suggested possible HGT across different genera of Pseudomonas and Vibrio.
Additionally, the Vibrio_phage_K139 homologue (31,909 bp) was also present in the V. parahaemolyticus N1-22 genome. It carried 46 genes, including the phage major structure genes, which were the same as those identified in the V. parahaemolyticus N8-42 genome. However, seven different accessory genes were identified, encoding a DUF4041 domain-containing protein (VpN1_22_1307), a PH domain-containing protein (VpN1_22_1308), a phage repressor protein CI (VpN1_22_1310), a replication endonuclease (VpN1_22_1322), an RNA-binding protein (VpN1_22_1321), a tail assembly chaperone (VpN1_22_1342), and a virion morphosis protein (VpN1_22_1334). These results suggested that more recent HGT and genome recombination likely occurred among the V. parahaemolyticus isolates.

3.5.3. Integrons

Mobile integrons were prevalent in human-dominated ecosystems with prolonged exposure to detergents, antibiotics, and heavy metals [49]. Integrons are generally classified according to integrase genes (intI1, intI2, intI3, and intI4) into type I, type II, type III, and super integron, respectively [50,51]. In this study, all six V. parahaemolyticus genomes contained integrons (n = 1 to 11) ranging from 1082 bp to 39,523 bp (Figure 7).
Remarkably, V. parahaemolyticus N4-46 isolated from P. viridis contained the maximum number of integrons (n = 11) ranging from 1082 bp to 14,532 bp. The 11 identified integrons (designated as In 1 to In 11) were divided into two categories: complete integron (n = 1) and gene cassettes (n = 10). For example, the ln 2 (1919 bp) contained four genes, encoding a flagellin (Vp N4-46_2269), hypothetical proteins (Vp N4-46_2648, Vp N4-46_2649) and a site-specific recombinase Intl4 (Vp N4-46_2647), indicating that it was a super integron.
Only one integron was identified in the V. parahaemolyticus N1-22 genome. It was a complete integron (3738 bp) containing 7 genes, encoding a type II toxin-antitoxin system RelB/DinJ family antitoxin (Vp N1-22_3060), a type II toxin-antitoxin system RelE/StbE family mRNA interferase toxin (Vp N1-22_3061), a YkgJ family cysteine cluster protein (Vp N1-22_3062), a type II toxin-antitoxin system Phd/YefM family antitoxin (Vp N1-22_3063), a type II toxin-antitoxin system RelE/ParE family toxin (Vp N1-22_3064), a conserved hypothetical protein (Vp N1-22_3065), and an integrase Intl4 (Vp N1-22_3066), indicating that it was also a super integron. The type II toxin-antitoxin system was initially discovered in plasmids, showing a phenomenon of post-segregational killing. They were later shown to be present in bacterial chromosomes, often in association with MGEs [52].
The V. parahaemolyticus L7-7 genome contained 2 integrons: a complete integron and an incomplete integron. The former, In 1 (26,693 bp), was a super integron and contained 40 genes, 11 of which have known functions, encoding a NAD(P)H-dependent oxidoreductase (Vp L7-7_3000), a DUF4238 domain-containing protein (Vp L7-7_3002), a DUF2569 domain-containing protein (Vp L7-7_3004), a DUF4062 domain-containing protein (Vp L7-7_3013), a GIY-YIG nuclease family protein (Vp L7-7_3014), GNAT family N-acetyltransferases (Vp L7-7_3015, Vp L7-7_3020), a putative NADPH-P-450 reductase (Vp L7-7_3016), a glutathione S-transferase (Vp L7-7_3026), a nucleotide pyrophosphohydrolase (Vp L7-7_3031), and an integrase Intl4 (Vp L7-7_2993).
In the V. parahaemolyticus N3-33 genome, 5 integrons were identified, including one complete In 1 and 4 incomplete integrons (In 2 to In 5). The In 1 (27,052 bp) contained 44 genes, 12 of which have known functions, encoding DUF3265 domain-containing proteins (Vp N3-33_1753, Vp N3-33_1762, Vp N3-33_1787), an effector-binding domain-containing protein (Vp N3-33_1754), a NUDIX domain-containing protein (Vp N3-33_1761), GNAT family N-acetyltransferases (Vp N3-33_1764, Vp N3-33_1774, Vp N3-33_1777), an NAD-dependent DNA ligase (Vp N3-33_1766), a DUF4145 domain-containing protein (Vp N3-33_1773), a histone acetyltransferase HPA2-related acetyltransferase (Vp N3-33_1779), a methyltransferase domain-containing protein (Vp N3-33_1784), and an integrase Intl4 (Vp N3-33_1796), indicating that this integron was also a super integron.
Interestingly, the identified four complete integrons in V. parahaemolyticus N4-46, N1-22, L7-7, and N3-33 genomes were all super integrons, one of which in the V. parahaemolyticus N1-22 genome carried virulence-related genes. The super integron was a common feature among the Vibrio species, but it was also highly variable [53]. Additionally, eight and six incomplete integrons were identified in the V. parahaemolyticus N8-42 and Q8-15 genomes, respectively.

3.5.4. ISs

ISs are the shortest autonomously mobile elements (<2.5 Kb) that have simple genetic organization but can insert at multiple sites in a target molecule [54]. In this study, ISs were identified in V. parahaemolyticus L7-7 (n = 3), N3-33 (n = 1), N8-42 (n = 1), and Q8-15 (n = 1) genomes (Table S4) but were absent from V. parahaemolyticus N1-22 and N4-46 genomes.
The V. parahaemolyticus L7-7 genome had 3 ISs: IS001 with 1232 bp that contained a mobile element protein (Vp L7-7_4694) and a IS3 family transposase (Vp L7-7_4695); IS002 with 1053 bp carrying a IS5 family transposase (Vp L7-7_4745); and IS003 with 869 bp carrying a AraC family transcriptional regulator (Vp L7-7_2087).
The IS (1029 bp) belonging to the IS3 family was also present in the V. parahaemolyticus N3-33 genome, encoding hypothetical proteins (Vp N3-33_3401, Vp N3-33_3402), while that (962 bp) belonging to the IS5 family also existed in V. parahaemolyticus Q8-15 genome, carrying a GyrI-like domain-containing protein (Vp Q8-15_0248). These results suggested that these ISs were possibly capable of skipping in these V. parahaemolyticus genomes.
Additionally, one IS (1419 bp) belonging to the IS91 family was identified in V. parahaemolyticus N8-42 genome, within which no gene located.

3.5.5. ICEs

The BLAST searching of the specific prfC gene (Genbank Accession No: NC_004603.1) of V. parahaemolyticus, and the genes encoding conserved module structures of SXT/R391 ICEs, showed that ICE was absent from the six V. parahaemolyticus genomes analyzed in this study.

3.6. CRISPR-Cas Systems

CRISPR-Cas systems are prokaryotic immune systems that can recognize foreign DNA and resist foreign genetic material or genes, which are found in about 84% of archaea and 47% of bacterial genomes [55]. In this study, different numbers of CRISPR-Cas gene clusters (97 bp to 825 bp) were identified in V. parahaemolyticus N3-33 (n = 3), N1-22 (n = 2), and Q8-15 (n = 1) genomes, but none of which contained the Cas protein-encoding gene, suggesting incomplete CRISPR-Cas systems in the 3 V. parahaemolyticus isolates (Figure 8).
For instance, V. parahaemolyticus N3-33 had 3 CRISPR-Cas gene clusters, designated as CRISPR1, CRISPR2, and CRISPR3. The CRISPR1 was 825 bp with 13 repeats and 12 spacers; the CRISPR2 was 118 bp with 2 repeats and 1 spacer; and the CRISPR3 was 392 bp with 5 repeats and 4 spacers.
V. parahaemolyticus N1-22 genome had two identified CRISPR-Cas clusters: the CRISPR1 (117 bp) had 2 repeats (46 bp) and 1 spacer (26 bp), while the CRISPR2 (229 bp) had 3 repeats (36 bp) and 2 spacers (61 bp).
Only one CRISPR-Cas cluster (97 bp) was identified in V. parahaemolyticus Q8-15 genome, consisting of two repeats (36 bp) and a spacer (26 bp). Due to its extremely short length (97 bp) and the fewer repeats (n = 2), this sequence might not have the function of the CRISPR-Cas system.

3.7. Putative Virulence-Associated Genes in the Six V. Parahaemolyticus Genomes

The BLAST search for virulence genes in the six V. parahaemolyticus genomes revealed distinct virulence gene profiles. Approximately 77 to 79 virulence-related genes were identified in the six V. parahaemolyticus genomes. V. parahaemolyticus Q8-15 isolate recovered from C. auratus contained the maximum number of virulence-associated genes (n = 79), whereas V. parahaemolyticus L7-7 had relatively fewer (n = 77).
The flrBC and yscOPQRST gene clusters were identified in all V. parahaemolyticus genomes. The former contributed to virulence of pathogenic Vibrio via adhesion or biofilm formation, while the ysc cluster was closely related to T3SS [56]. Moreover, the fliCDE gene cluster was also identified in the six V. parahaemolyticus genomes, which was involved in bacterial virulence through the flagellar mobility. This gene cluster was also found in most Salmonella strains [57] and was widespread in Vibrio cholerae isolates [36].
The other virulence-associated genes involved in bacterial adhesion, colonization invading, and persisting in the host were also identified in the six V. parahaemolyticus genomes. For example, the genes impI, vgrG, and acfA encoding accessory colonization factors in pathogenic V. cholerae and Klebsiella pneumoniae [36,58] were identified in the six V. parahaemolyticus genomes. A gspN gene encoding a T2SS-related protein was found in V. parahaemolyticus N1-22 and N3-33 genomes, while a yscH gene encoding a T3SS polymerization control protein VscH was identified in all six genomes. A gmd gene encoding a GDP-mannose 4,6-dehydratase was found in V. parahaemolyticus N4-46, L7-7, and Q8-15 genomes, which was required for the synthesis of colanic acid capsule that indirectly controlled the virulence of bacteria [59]. A tuf gene encoding an elongation factor EF-Tu was identified in the V. parahaemolyticus Q8-15 genome, which functioned in peptide chain formation to enhance bacterial pathogenicity [60]. Moreover, a hap gene encoding a virulent metalloproteinase was found in the six V. parahaemolyticus genomes, which directly affected the effect of epithelial tight junction integrity of V. parahaemolyticus [61]. Additionally, putative virulence-associated genes were also identified in the six V. parahaemolyticus genomes, e.g., flagellar biosynthesis (flgBM, fliQ, and flhABF), chemotaxis (cheA), motility (pilT), and regulation (glnGL) genes. The identified virulence-associated genes could be candidate targets for the development of new diagnostic methods, vaccines, and treatments for controlling V. parahaemolyticus infections in humans.

3.8. Antibiotic Resistance-Associated Genes in the Six V. parahaemolyticus Genomes

Approximately 17 to 20 antimicrobial resistance-related genes were identified in the six V. parahaemolyticus genomes (Table 2). V. parahaemolyticus N1-22 and N3-33 isolated from L. vannamei and P. undulate, respectively, contained the maximum number of resistance genes (n = 20), followed by L7-7, N8-42 and Q8-15 isolates from A. nobilis, M. veneriformis, and C. auratus, respectively (n = 18); and N4-46 isolate from P. viridis (n = 17).
All six V. parahaemolyticus genomes contained the genes encoding a multidrug efflux RND transporter periplasmic adaptor (acrB) [62], a multidrug resistance (MDR) protein (norM) [63], a penicillin-binding protein (mrcB) [64], and a β-lactamase (blaCARB-17). The genes for resistance to TET (tet34, tet35) and AMP (crp) were also identified, consistent with antibiotic-resistant phenotypes of the six V. parahaemolyticus isolates. Moreover, the catB, SoxR, hns, qnr, folA, macB, and msbA genes were found in the six V. parahaemolyticus genomes, which encoded a sugar O-acetyltransferase, a redox-sensitive transcriptional activator SoxR, a DNA-binding protein H-NS, a Qnr family pentapeptide repeat protein, a type 3 dihydrofolate reductase, an MacB family efflux pump subunit, and a lipid A ABC transporter ATP-binding protein/permease MsbA, respectively. They were responsible for resistance to phenicol (catB, SoxR), fluoroquinolone (hns, qnr, crp), macrolide (macB), and nitroimidazole (msbA). For example, ABC transporters are transmembrane molecular pumps, which share a typical architectural organization comprising highly conserved hydrophilic nucleotide-binding domains (NBDs) and less conserved hydrophobic transmembrane domains (TMDs). NBDs, also known as ATP-binding cassettes, are located at the cytoplasmic side of the cell membrane and hydrolyze ATP to generate translocation driving energy, while TMDs form the translocation pathway and provide specificity to a substrate [65]. Recently, Kumar et al. analyzed various genetic features of putative ABC transporters classified into A-H subfamilies and delineated their role during mosquito Aedes aegypti development and arboviral infection via transcriptome analyses [66]. Additionally, different numbers of bla genes encoding beta-lactamases were found in V. parahaemolyticus N1-22, N3-33, and N4-46 genomes (Table 2).

3.9. Heavy Metal Tolerance-Associated Genes in the Six V. parahaemolyticus Genomes

In this study, approximately five heavy metal tolerance-associated genes were identified in the six V. parahaemolyticus genomes (Table 2). For example, the cusARS and zntA genes were identified in all six V. parahaemolyticus genomes, which encoded heavy metal efflux RND transporter and Zn/Cd/Hg/Pb-transporting ATPase, respectively. The copA gene encoding heavy metal translocating P-type ATPase was also identified in V. parahaemolyticus L7-7 and Q8-15 genomes (Table 2).

3.10. Strain-Specific Genes of the Six V. parahaemolyticus Isolates of Edible Aquatic Animal Origins

Comparative genomic analyses revealed approximately 4081 core genes, which accounted for a large proportion (75.7%) of pan genes (n = 5392) and were conserved among the six V. parahaemolyticus genomes. Meanwhile, comparative genomic analyses revealed a number of strain-specific genes (n = 131 to 287) in the V. parahaemolyticus isolates (Figure 9). Interestingly, V. parahaemolyticus N3-33 isolate originating in P. undulat contained the maximum number of strain-specific genes (n = 287), whereas V. parahaemolyticus N8-42 isolate in M. veneriformis had the minimum (n = 131). Remarkably, higher percentages of strain-specific genes (41.0% to 60.3%) encoded unknown proteins, while most of the others were involved in outer membrane biogenesis, cell envelope, and secondary metabolisms. These results provided additional evidence for the genome diversity of the six V. parahaemolyticus isolates of edible aquatic animal origins.

4. Discussion

V. parahaemolyticus has consistently caused foodborne disease outbreaks every year worldwide [67]. Continuous monitoring of V. parahaemolyticus contamination in aquatic products is imperative for food safety systems, particularly in developing nations. In the present study, we characterized genome features of V. parahaemolyticus isolates isolated from 6 species of edible aquatic animals, including A. nobilis, L. vannamei, P. undulate, P. viridis, M. veneriformis, and C. auratus. Our data showed that most V. parahaemolyticus isolates grew optimally in TSB medium at pH 8.5 and 3% NaCl, consistent with previous report [23]. Diverse antibiotic and heavy metal resistance profiles derived from the six V. parahaemolyticus isolates suggested different antibiotic and heavy metal exposure levels or pollution sources in aquaculture environments.
In this study, draft genomes of the six V. parahaemolyticus isolates were determined (4,937,042 bp to 5,067,778 bp). Some repeats were observed at the end of scaffolds (n = 2 to 6, <1.3 Kb) in five V. parahaemolyticus genomes (Table S5). Therefore, it is reasonable to speculate that the unassembled gaps between scaffolds were comprised of repetitive DNA. Approximately 4622 to 4791 protein-coding genes were annotated, of which 1064 to 1107 encoded unknown proteins. Moreover, comparative genomic analyses revealed a number of strain-specific genes (n = 131 to 287) in the six V. parahaemolyticus isolates, approximately 41.0% to 60.3% of which encoded unknown proteins. Various MGEs were also identified, including GIs (n = 5 to 9), prophage gene clusters (n = 0 to 2), CRISPR-Cas systems (n = 0 to 6), and integrons (n = 1 to 11), and ISs (n = 0 to 3). Of course, we could not rule out the possibility that additional genetic elements could be present in the gaps between scaffolds. These results demonstrated genome variation among the six V. parahaemolyticus isolates originating in edible aquatic animals.
Intercellular transmissibility of the identified MGEs carrying many genes may have constituted important driving forces in V. parahaemolyticus genome evolution and speciation. For instance, the identified 39 GIs (4022 bp to 85,856 bp) in the six V. parahaemolyticus genomes contained 712 genes, which endowed the bacterium with diverse biological functions, such as virulence, second metabolisms, stress response, and resistance. Of these, nine GIs carrying virulence-related genes were identified. Moreover, there were several GIs containing phage regulator genes. These results provided additional evidence for the presence of GIs closely related to enteropathogenicity in V. parahaemolyticus [68]. Pazhani et al. reported that acquisition of GIs by HGT provides enhanced tolerance of V. parahaemolyticus toward several antibiotics and heavy metals [69]. In this study, 2 GIs carrying heavy metal tolerance-related genes were identified, e.g., the GI 6 and GI 4 in V. parahaemolyticus L7-7 and N8-42 genomes, respectively. Additionally, several GIs carried metabolism-related enzyme genes. For example, the GI 1 and GI 4 in V. parahaemolyticus N3-33 genome contained the Vp N3-33_0631 and Vp N3-33_2966 genes encoding a lipase, and a bifunctional GNAT family N-acetyltransferase/carbon-nitrogen hydrolase, respectively, which possibly benefited the bacterial survival in the environment.
There are approximately 1031 phage particles on Earth, considered the most abundant biological entity and an important driving force for bacterial evolution [70]. In this study, 5 prophage gene clusters (10,637 bp to 32,968 bp) were identified in V. parahaemolyticus N1-22, N4-46, N8-42, and Q8-15 genomes. They showed sequence similarity with the Vibrio_phage_K139, Pseudomonas_phage_D3, and Vibrio_phage_fs2 in V. cholerae K139, P. aeruginosa D3, and V. cholerae O139, respectively. The 5 prophage homologues contained a total of 156 genes, approximately 45.5% of which encoded unknown proteins. Notably, the Vibrio_phage_K139 homologue in V. parahaemolyticus N8-42 genome carried virulence determinants, such as the hemolysin (Vp N8-42_2876) and type II toxin-antitoxin system RelE/ParE family toxin (Vp N8-42_2908). Hemolysin is a well-studied virulence factor that can cause erythrocytolysis in the host [71]. Interestingly, the Vibrio_phage_K139 homologue (31,909 bp) was also identified in the V. parahaemolyticus N1-22 genome carrying a similar set of phage structure genes but different accessory genes, suggesting that V. parahaemolyticus N8-42 and N1-22 isolates may acquire the toxin genes from a common evolutionary ancestor by HGT with subsequent genome rearrangement into different Vibrio spp. and V. parahaemolyticus strains. Additionally, the Pseudomonas_phage_D3 homologue was identified in V. parahaemolyticus N4-46, and Q8-15 genomes, which provided the evidence at the genome level for the presence of extensive phage transmission between V. parahaemolyticus strains and even across species boundaries between Vibrio and Pseudomonas genera.
Integrons usually contain integrase (intI) genes, which can catalyze the merging or excision of gene cassettes through attl site-specific recombination [72]. They have been detected in clinically important pathogens and show a growing trend in environmental reservoirs [73]. The super integron was originally discovered in V. cholerae in 1999, which carried genes related to antibiotic resistance and pathogenicity [74]. In this study, 33 integrons (1082 bp to 39,523 bp) were identified in the six V. parahaemolyticus genomes, of which four super integrons were present in V. parahaemolyticus N4-46, N1-22, L7-7, and N3-33 genomes. Although approximately 23.4% of the integron-carrying genes (n = 435) encoded unknown proteins, the identified integrons might have a complex and diverse impact on the adaptability of the V. parahaemolyticus isolates to the environment and the host. For example, several integrons carrying virulence-related genes were found, such as the In 1, In 2, In 3, In 2, and In 1 in V. parahaemolyticus N1-22, L7-7, N3-33, N8-42, and Q8-15 genomes, respectively. Moreover, the super integron in V. parahaemolyticus N1-22 genome also carried toxic genes, e.g., type II toxin-antitoxin system RelE/StbE family mRNA interferase toxin (Vp N1-22_3061), and type II toxin-antitoxin system RelE/ParE family toxin (Vp N1-22_3064).
Previous research has indicated that the ISs belonging to IS3 and IS5 families played an important role in antibiotic resistance and virulence evolution in Gram-negative bacteria [75]. In this study, a few ISs were identified in V. parahaemolyticus L7-7, N3-33, N8-42, and Q8-15 genomes. However, no ISs carrying such genes were found, except that a yoeB gene (Vp L7-7_4693) encoding Txe/YoeB family addiction module toxin existed closely to the IS001 of the IS3 family in V. parahaemolyticus L7-7 genome.
CRISPR-Cas systems have been found to prevent the spread of plasmids and bacteriophages, and therefore limit the HGT of the MGEs [76]. They are a group of regularly spaced short palindromic repeats, which are composed of many short and conservative repeats and spacers. The CRISPRs and Cas proteins together form complete CRISPR-Cas systems, which are the most abundant defense component in archaea and bacteria [77]. In this study, six CRISPR-Cas gene clusters (97 bp to 825 bp) were identified in V. parahaemolyticus N1-22, N3-33, and Q8-15 genomes; however, all were incomplete ones lacking the Cas protein, which provided indirect evidence for possible active HGT mediated by the MGEs in the six V. parahaemolyticus isolates.
Previous studies have reported diarrhea cases caused by V. parahaemolyticus isolates lacking tdh and trh genes, suggesting that the other virulence-related factors exist and are attributable to the pathogenesis of V. parahaemolyticus [78]. In this study, a number of virulence-related genes (77 to 79) were identified in the six V. parahaemolyticus genomes originating in edible aquatic animals, e.g., impI, vgrG, fliCDEFG, flrBC, yscOPQRST, T3SS-and T6SS-related genes, which were involved in flagellar action, adhesion, colonization, biofilm formation, or epithelial cell invasion, suggesting possible health risks in consuming edible aquatic animals.
The global emergence and spread of MDR pathogenic bacteria poses an imminent threat to therapeutic options for human diseases [36]. AMP has been widely accepted as the first choice for the treatment of foodborne bacterial infections. However, it has been reported that the treatment efficiency for Vibrio spp. infection is low, perhaps because of the crp gene [79]. The inappropriate and continuous use of TET likely resulted in the increased resistance toward this drug [80]. In this study, approximately 17 to 20 antibiotic resistance-related genes were identified in the six V. parahaemolyticus genomes, including the crp, tet (34), and tet (35) genes, consistent with their resistance phenotypes. Moreover, the other genes (e.g., hns, acrB, and SoxR) involved in resistance to fluoroquinolone, cephalosporin, and TET were also identified in the six V. parahaemolyticus isolates. Additionally, previous studies have linked heavy metal tolerance and antibiotic resistance in pathogenic bacteria [81]. In this study, some heavy metal tolerance-related genes (e.g., cusASR, galT, zntA) were also identified in the six V. parahaemolyticus isolates, which provided the evidence at the genome level for the co-resistance of potentially virulent V. parahaemolyticus isolates originating in edible aquatic animals.

5. Conclusions

This study was the first to specify genome features of six V. parahaemolyticus isolates recovered from three species of shellfish: Paphia undulate, Perna viridis, Mactra veneriformis; two species of fish: Aristichthys nobilis, Carassius auratu; and one species of crustacean: Litopenaeus vannamei, respectively. Most isolates with MDR phenotypes grew optimally at 3% NaCl and pH 8.5. Draft genome sequences of the V. parahaemolyticus isolates (4,937,042 bp to 5,067,778 bp) were determined using the Illumina Hiseq × 10 (Illumina, San Diego, CA, USA) sequencing technique. Comparative genome analyses revealed 4622 to 4791 predicted protein-encoding genes, of which 1064 to 1107 encoded unknown proteins. Various MGEs were identified, including GIs (n = 5 to 9), prophage gene clusters (n = 0 to 2), CRISPR-Cas systems (n = 0 to 6), integrons (n = 1 to 11), and ISs (n = 0 to 3). A number of antibiotic resistance-associated (n = 17 to 20) and virulence-associated (n = 77 to 79) genes, and strain-specific genes (n = 131 to 287) were also identified in the six V. parahaemolyticus genomes. The results demonstrated considerable genome variation mediated by the various MGEs in the six V. parahaemolyticus genomes. Overall, the results of this study fill gaps in our knowledge of genome evolution of V. parahaemolyticus isolates originating in aquatic animals. In future research, V. parahaemolyticus isolates of various aquatic animal origins should be investigated at the genome level for further understanding of the pathogenesis mechanisms and epidemiological features of the leading foodborne sea pathogens worldwide.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/d14050350/s1, Table S1: Oligonucleotide primers used in this study; Table S2: The identified GIs in the six V. parahaemolyticus genomes; Table S3: The identified prophages in the V. parahaemolyticus genomes; Table S4: The identified ISs in the V. parahaemolyticus genomes; Table S5: The identified repeats at the end of scaffolds of the V. parahaemolyticus genomes; Figure S1: The k-mer analysis for V. parahaemolyticus subread data based on the number of unique 17-mers. A to F: V. parahaemolyticus L7-7, N1-22, N3-33, N4-46, N8-42, and Q8-15 genomes, respectively.

Author Contributions

D.X.: investigation, data curation, and writing—original draft preparation; X.P. and L.X.: discussion and supervision; L.C.: funding acquisition, conceptualization, and writing—review and editing. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by Shanghai Municipal Science and Technology Commission, grant number 17050502200, and National Natural Science Foundation of China, grant number 31671946.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Draft genome sequences of the six V. parahaemolyticus isolates have been deposited in GenBank database under the accession numbers: JAHRCZ000000000, JAHRDA000000000, JAHRDB000000000, JAHRDC000000000, JAHRDD000000000, and JAHQCP000000000.

Acknowledgments

The authors are grateful to Meng Sun and Kaiyue Zhang for their help in the manuscript preparation.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Fu, S.; Wang, Q.; Zhang, Y.; Yang, Q.; Hao, J.; Liu, Y.; Pang, B. Dynamics and microevolution of Vibrio parahaemolyticus populations in shellfish farms. Msystems 2021, 6, e01161-20. [Google Scholar] [CrossRef] [PubMed]
  2. Zhong, Q.; Cruz-Paredes, C.; Zhang, S.; Rousk, J. Can heavy metal pollution induce bacterial resistance to heavy metals and antibiotics in soils from an ancient land-mine. J. Hazard Mater. 2021, 411, 124962. [Google Scholar] [CrossRef] [PubMed]
  3. Meparambu Prabhakaran, D.; Ramamurthy, T.; Thomas, S. Genetic and virulence characterisation of Vibrio parahaemolyticus isolated from Indian coast. BMC Microbiol. 2020, 20, 62. [Google Scholar] [CrossRef] [PubMed]
  4. Klein, S.; Pipes, S.; Lovell, C.R. Occurrence and significance of pathogenicity and fitness islands in environmental Vibrios. AMB Express 2018, 8, 177. [Google Scholar] [CrossRef]
  5. Liu, J.; Bai, L.; Li, W.; Han, H.; Fu, P.; Ma, X.; Bi, Z.; Yang, X.; Zhang, X.; Zhen, S. Trends of foodborne diseases in China: Lessons from laboratory-based surveillance since 2011. Front. Med. PRC 2018, 12, 48–57. [Google Scholar] [CrossRef]
  6. Partridge, S.R.; Kwong, S.M.; Firth, N.; Jensen, S.O. Mobile genetic elements associated with antimicrobial resistance. Clin Microbiol Rev. 2018, 31, e00088-17. [Google Scholar] [CrossRef] [Green Version]
  7. Jeamsripong, S.; Khant, W.; Chuanchuen, R. Distribution of phenotypic and genotypic antimicrobial resistance and virulence genes in Vibrio parahaemolyticus isolated from cultivated oysters and estuarine water. FEMS Microbiol. Ecol. 2020, 96, fiaa081. [Google Scholar] [CrossRef]
  8. Zhu, Z.; Yang, L.; Yu, P.; Wang, Y.; Peng, X.; Chen, L. Comparative proteomics and secretomics revealed virulence and antibiotic resistance-associated factors in Vibrio parahaemolyticus recovered from commonly consumed aquatic products. Front. Microbiol. 2020, 11, 1453. [Google Scholar] [CrossRef]
  9. Coutinho, F.H.; Tschoeke, D.A.; Clementino, M.M.; Thompson, C.C.; Thompson, F.L. Genomic basis of antibiotic resistance in Vibrio parahaemolyticus strain JPA1. Mem. Inst. Oswaldo. Cruz. 2019, 114, e190053. [Google Scholar] [CrossRef]
  10. Li, D.; Zang, M.; Li, X.; Zhang, K.; Zhang, Z.; Wang, S. A study on the food fraud of national food safety and sample inspection of China. Food Control 2020, 116, 107306. [Google Scholar] [CrossRef]
  11. Ling, N.; Dailing, C.; Huiyu, F.; Qingchao, X.; Yao, L.; Xichang, W.; Yong, Z.; Lanming, C. Residual levels of antimicrobial agents and heavy metals in 41 species of commonly consumed aquatic products in Shanghai, China, and cumulative exposure risk to children and teenagers. Food Control 2021, 129, 108225. [Google Scholar] [CrossRef]
  12. Han, F.; Walker, R.D.; Janes, M.E.; Prinyawiwatkul, W.; Ge, B. Antimicrobial susceptibilities of Vibrio parahaemolyticus and Vibrio vulnificus isolates from Louisiana Gulf and retail raw oysters. Appl. Environ. Microbiol. 2007, 73, 7096–7098. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Su, C.; Chen, L. Virulence, resistance, and genetic diversity of Vibrio parahaemolyticus recovered from commonly consumed aquatic products in Shanghai, China. Mar. Pollut. Bull. 2020, 160, 111554. [Google Scholar] [CrossRef] [PubMed]
  14. Fondi, M.; Karkman, A.; Tamminen, M.V.; Bosi, E.; Virta, M.; Fani, R.; Alm, E.; McInerney, J.O. “Every gene is everywhere but the environment selects”: Global geolocalization of gene sharing in environmental samples through network analysis. Genome Biol. Evol. 2016, 8, 1388–1400. [Google Scholar] [CrossRef] [PubMed]
  15. Wang, Q.; Gu, J.; Wang, X.; Ma, J.; Hu, T.; Peng, H.; Bao, J.; Zhang, R. Effects of nano-zerovalent iron on antibiotic resistance genes and mobile genetic elements during swine manure composting. Environ. Pollut. 2020, 258, 113654. [Google Scholar] [CrossRef]
  16. Dionisio, F.; Zilhão, R.; Gama, J.A. Interactions between plasmids and other mobile genetic elements affect their transmission and persistence. Plasmid 2019, 102, 29–36. [Google Scholar] [CrossRef]
  17. Thomas, C.M.; Nielsen, K.M. Mechanisms of, and barriers to, horizontal gene transfer between bacteria. Nat. Rev. Microbiol. 2005, 3, 711–721. [Google Scholar] [CrossRef]
  18. Soucy, S.M.; Huang, J.; Gogarten, J.P. Horizontal gene transfer: Building the web of life. Nat. Rev. Genet. 2015, 16, 472–482. [Google Scholar] [CrossRef]
  19. Canchaya, C.; Fournous, G.; Chibani-Chennoufi, S.; Dillmann, M.L.; Brüssow, H. Phage as agents of lateral gene transfer. Curr. Opin. Microbiol. 2003, 6, 417–424. [Google Scholar] [CrossRef]
  20. Metzker, M.L. Emerging technologies in DNA sequencing. Genome Res. 2005, 15, 1767–1776. [Google Scholar] [CrossRef] [Green Version]
  21. García, K.; Yáñez, C.; Plaza, N.; Peña, F.; Sepúlveda, P.; Pérez-Reytor, D.; Espejo, R.T. Gene expression of Vibrio parahaemolyticus growing in laboratory isolation conditions compared to those common in its natural ocean environment. BMC Microbiol. 2017, 17, 118. [Google Scholar] [CrossRef] [Green Version]
  22. Tan, C.W.; Rukayadi, Y.; Hasan, H.; Thung, T.Y.; Lee, E.; Rollon, W.D.; Hara, H.; Kayali, A.Y.; Nishibuchi, M.; Radu, S. Prevalence and antibiotic resistance patterns of Vibrio parahaemolyticus isolated from different types of seafood in Selangor, Malaysia. Saudi J. Biol. Sci. 2020, 27, 1602–1608. [Google Scholar] [CrossRef]
  23. Sun, X.; Liu, T.; Peng, X.; Chen, L. Insights into Vibrio parahaemolyticus CHN25 response to artificial gastric fluid stress by transcriptomic analysis. Int. J. Mol. Sci. 2014, 15, 22539–22562. [Google Scholar] [CrossRef]
  24. Zhu, C.; Sun, B.; Liu, T.; Zheng, H.; Gu, W.; He, W.; Sun, F.; Wang, Y.; Yang, M.; Bei, W.; et al. Genomic and transcriptomic analyses reveal distinct biological functions for cold shock proteins (VpaCspA and VpaCspD) in Vibrio parahaemolyticus CHN25 during low-temperature survival. BMC Genom. 2017, 18, 436. [Google Scholar] [CrossRef] [Green Version]
  25. Wenting, Y.; Lianzhi, Y.; Zehuai, S.; Lu, X.; Lanming, C. Identification of salt tolerance-related genes of Lactobacillus plantarum D31 and T9 strains by genomic analysis. Ann. Microbiol. 2020, 70, 10. [Google Scholar] [CrossRef] [Green Version]
  26. Yang, L.; Wang, Y.; Yu, P.; Ren, S.; Zhu, Z.; Jin, Y.; Yan, J.; Peng, X.; Chen, L. Prophage-related gene VpaChn25_0724 contributes to cell membrane integrity and growth of Vibrio parahaemolyticus CHN25. Front. Cell. Infect. Microbiol. 2020, 10, 595709. [Google Scholar] [CrossRef]
  27. Luo, R.; Liu, B.; Xie, Y.; Li, Z.; Huang, W.; Yuan, J.; He, G.; Chen, Y.; Pan, Q.; Liu, Y.; et al. SOAPdenovo2: An empirically improved memory-efficient short-read de novo assembler. GigaScience 2012, 1, 18. [Google Scholar] [CrossRef]
  28. Delcher, A.L.; Bratke, K.A.; Powers, E.C.; Salzberg, S.L. Identifying bacterial genes and endosymbiont DNA with Glimmer. Bioinformatics 2007, 23, 673–679. [Google Scholar] [CrossRef]
  29. Chan, P.P.; Lowe, T.M. tRNAscan-SE: Searching for tRNA genes in genomic sequences. Methods Mol. Biol. 2019, 1962, 1–14. [Google Scholar] [CrossRef]
  30. Jensen, L.J.; Julien, P.; Kuhn, M.; von Mering, C.; Muller, J.; Doerks, T.; Bork, P. EggNOG: Automated construction and annotation of orthologous groups of genes. Nucleic Acids Res. 2008, 36, D250–D254. [Google Scholar] [CrossRef]
  31. Bertelli, C.; Laird, M.R.; Williams, K.P.; Lau, B.Y.; Hoad, G.; Winsor, G.L.; Brinkman, F.S.L. IslandViewer 4: Expanded prediction of genomic islands for larger-scale datasets. Nucleic Acids Res. 2017, 45, W30–W35. [Google Scholar] [CrossRef]
  32. Fouts, D.E. Phage_Finder: Automated identification and classification of prophage regions in complete bacterial genome sequences. Nucleic Acids Res. 2006, 34, 5839–5851. [Google Scholar] [CrossRef]
  33. Bland, C.; Ramsey, T.L.; Sabree, F.; Lowe, M.; Brown, K.; Kyrpides, N.C.; Hugenholtz, P. CRISPR recognition tool (CRT): A tool for automatic detection of clustered regularly interspaced palindromic repeats. BMC Bioinform. 2007, 8, 209. [Google Scholar] [CrossRef] [Green Version]
  34. Cury, J.; Jové, T.; Touchon, M.; Néron, B.; Rocha, E.P. Identification and analysis of integrons and cassette arrays in bacterial genomes. Nucleic Acids Res. 2016, 44, 4539–4550. [Google Scholar] [CrossRef] [Green Version]
  35. Siguier, P.; Gourbeyre, E.; Chandler, M. Bacterial insertion sequences: Their genomic impact and diversity. FEMS Microbiol. Rev. 2014, 38, 865–891. [Google Scholar] [CrossRef] [Green Version]
  36. Gong, L.; Yu, P.; Zheng, H.; Gu, W.; He, W.; Tang, Y.; Wang, Y.; Dong, Y.; Peng, X.; She, Q.; et al. Comparative genomics for non-O1/O139 Vibrio cholerae isolates recovered from the Yangtze River Estuary versus V. cholerae representative isolates from serogroup O1. Mol. Genet. Genom. 2019, 294, 417–430. [Google Scholar] [CrossRef] [Green Version]
  37. Li, L.; Stoeckert, C.J., Jr.; Roos, D.S. OrthoMCL: Identification of ortholog groups for eukaryotic genomes. Genome Res. 2003, 13, 2178–2189. [Google Scholar] [CrossRef] [Green Version]
  38. Emms, D.M.; Kelly, S. OrthoFinder: Phylogenetic orthology inference for comparative genomics. Genome Biol. 2019, 20, 238. [Google Scholar] [CrossRef] [Green Version]
  39. Edgar, R.C. MUSCLE: Multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 2004, 32, 1792–1797. [Google Scholar] [CrossRef] [Green Version]
  40. Stamatakis, A. RAxML version 8: A tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics 2014, 30, 1312–1313. [Google Scholar] [CrossRef]
  41. Kong, R.; Xu, X.; Liu, X.; He, P.; Zhang, M.Q.; Dai, Q. 2SigFinder: The combined use of small-scale and large-scale statistical testing for genomic island detection from a single genome. BMC Bioinform. 2020, 21, 159. [Google Scholar] [CrossRef]
  42. Onesime, M.; Yang, Z.; Dai, Q. Genomic island prediction via chi-square test and random forest algorithm. Comput. Math. Methods Med. 2021, 2021, 9969751. [Google Scholar] [CrossRef]
  43. Liu, P.; Huang, D.; Hu, X.; Tang, Y.; Ma, X.; Yan, R.; Han, Q.; Guo, J.; Zhang, Y.; Sun, Q.; et al. Targeting inhibition of smpB by peptide aptamer attenuates the virulence to protect zebrafish against Aeromonas veronii infection. Front. Microbiol. 2017, 8, 1766. [Google Scholar] [CrossRef]
  44. Lee, H.A.; Kim, J.Y.; Kim, J.; Nam, B.; Kim, O. Anti-helicobacter pylori activity of acomplex mixture of Lactobacillus paracasei HP7 including the extract of perilla frutescens var, acuta and glycyrrhiza glabra. Lab. Anim. Res. 2020, 36, 40. [Google Scholar] [CrossRef]
  45. Heidelberg, J.F.; Eisen, J.A.; Nelson, W.C.; Clayton, R.A.; Gwinn, M.L.; Dodson, R.J.; Haft, D.H.; Hickey, E.K.; Peterson, J.D.; Umayam, L.; et al. DNA sequence of both chromosomes of the cholera pathogen Vibrio cholerae. Nature 2000, 406, 477–483. [Google Scholar] [CrossRef] [Green Version]
  46. Garin-Fernandez, A.; Wichels, A. Looking for the hidden: Characterization of lysogenic phages in potential pathogenic Vibrio species from the North Sea. Mar. Genom. 2020, 51, 100725. [Google Scholar] [CrossRef]
  47. Llanos Salinas, S.P.; Castillo Sánchez, L.O.; Castañeda Miranda, G.; Rodríguez Reyes, E.A.; Ordoñez López, L.; Mena Bañuelos, R.; Alcaraz Sosa, L.E.; Núñez Carrera, M.G.; José Manuel, R.O.; Carmona Gasca, C.A.; et al. GspD, the type II secretion system secretin of Leptospira, protects hamsters against lethal infection with a virulent L. interrogans isolate. Vaccines 2020, 8, 759. [Google Scholar] [CrossRef]
  48. Bisht, S.C.; Joshi, G.K.; Mishra, P.K. CspA encodes a major cold shock protein in Himalayan psychrotolerant Pseudomonas strains. Interdiscip. Sci. 2014, 6, 140–148. [Google Scholar] [CrossRef]
  49. An, X.L.; Chen, Q.L.; Zhu, D.; Zhu, Y.G.; Gillings, M.R.; Su, J.Q. Impact of wastewater treatment on the prevalence of integrons and the genetic diversity of integron gene cassettes. Appl. Environ. Microb. 2018, 84, e02766-17. [Google Scholar] [CrossRef] [Green Version]
  50. Sabbagh, P.; Rajabnia, M.; Maali, A.; Ferdosi-Shahandashti, E. Integron and its role in antimicrobial resistance: A literature review on some bacterial pathogens. Iran. J. Basic Med. Sci. 2021, 24, 136–142. [Google Scholar] [CrossRef]
  51. Vaisvila, R.; Morgan, R.D.; Posfai, J.; Raleigh, E.A. Discovery and distribution of super-integrons among pseudomonads. Mol. Microbiol. 2001, 42, 587–601. [Google Scholar] [CrossRef]
  52. Fraikin, N.; Goormaghtigh, F.; Van Melderen, L. Type II toxin-antitoxin systems: Evolution and revolutions. J. Bacteriol. 2020, 202, e00763-19. [Google Scholar] [CrossRef] [Green Version]
  53. Lux, T.M.; Lee, R.; Love, J. Genome-wide phylogenetic analysis of the pathogenic potential of Vibrio furnissii. Front. Microbiol. 2014, 5, 435. [Google Scholar] [CrossRef] [Green Version]
  54. Mahillon, J.; Chandler, M. Insertion sequences. Microbiol. Mol. Biol. Rev. 1998, 62, 725–774. [Google Scholar] [CrossRef] [Green Version]
  55. McDonald, N.D.; Regmi, A.; Morreale, D.P.; Borowski, J.D.; Boyd, E.F. CRISPR-Cas systems are present predominantly on mobile genetic elements in Vibrio species. BMC Genom. 2019, 20, 105. [Google Scholar] [CrossRef] [Green Version]
  56. Hensel, M.; Shea, J.E.; Raupach, B.; Monack, D.; Falkow, S.; Gleeson, C.; Kubo, T.; Holden, D.W. Functional analysis of ssaJ and the ssaK/U operon, 13 genes encoding components of the type III secretion apparatus of Salmonella pathogenicity island 2. Mol. Microbiol. 1997, 24, 155–167. [Google Scholar] [CrossRef] [Green Version]
  57. Liu, Y.; Zhang, D.F.; Zhou, X.; Xu, L.; Zhang, L.; Shi, X. Comprehensive analysis reveals two distinct evolution patterns of Salmonella Flagellin gene clusters. Front. Microbiol. 2017, 8, 2604. [Google Scholar] [CrossRef]
  58. Martin, R.M.; Bachman, M.A. Colonization, infection, and the accessory genome of Klebsiella pneumoniae. Front. Cell. Infect. Microbiol. 2018, 8, 4. [Google Scholar] [CrossRef] [Green Version]
  59. Domínguez-Bernal, G.; Pucciarelli, M.G.; Ramos-Morales, F.; García-Quintanilla, M.; Cano, D.A.; Casadesús, J.; García-del Portillo, F. Repression of the RcsC-YojN-RcsB phosphorelay by the IgaA protein is a requisite for Salmonella virulence. Mol. Microbiol. 2004, 53, 1437–1449. [Google Scholar] [CrossRef]
  60. Pillay, S.; Zishiri, O.T.; Adeleke, M.A. Prevalence of virulence genes in Enterococcus species isolated from companion animals and livestock. Onderstepoort J. Vet. Res. 2018, 85, e1–e8. [Google Scholar] [CrossRef] [Green Version]
  61. Wu, Z.; Nybom, P.; Magnusson, K.E. Distinct effects of Vibrio cholerae haemagglutinin/protease on the structure and localization of the tight junction-associated proteins occludin and ZO-1. Cell Microbiol. 2000, 2, 11–17. [Google Scholar] [CrossRef] [PubMed]
  62. Kobylka, J.; Kuth, M.S.; Müller, R.T.; Geertsma, E.R.; Pos, K.M. AcrB: A mean, keen, drug efflux machine. Ann. N. Y. Acad. Sci. 2020, 1459, 38–68. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. He, X.; Szewczyk, P.; Karyakin, A.; Evin, M.; Hong, W.X.; Zhang, Q.; Chang, G. Structure of a cation-bound multidrug and toxic compound extrusion transporter. Nature 2010, 467, 991–994. [Google Scholar] [CrossRef] [PubMed]
  64. Lin, C.W.; Lin, H.C.; Huang, Y.W.; Chung, T.C.; Yang, T.C. Inactivation of mrcA gene derepresses the basal-level expression of L1 and L2 β-lactamases in Stenotrophomonas maltophilia. J. Antimicrob. Chemother. 2011, 66, 2033–2037. [Google Scholar] [CrossRef] [Green Version]
  65. Rees, D.C.; Johnson, E.; Lewinson, O. ABC transporters: The power to change. Nat. Rev. Mol. Cell Biol. 2009, 10, 218–227. [Google Scholar] [CrossRef] [Green Version]
  66. Kumar, V.; Garg, S.; Gupta, L.; Gupta, K.; Diagne, C.T.; Missé, D.; Pompon, J.; Kumar, S.; Saxena, V. Delineating the role of aedes aegypti ABC transporter gene family during mosquito development and arboviral infection via transcriptome analyses. Pathogens 2021, 10, 1127. [Google Scholar] [CrossRef]
  67. Yoon, J.-H.; Lee, S.-Y. Characteristics of viable-but-nonculturable Vibrio parahaemolyticus induced by nutrient-deficiency at cold temperature. Crit. Rev. Food Sci. 2020, 60, 1302–1320. [Google Scholar] [CrossRef]
  68. Matsuda, S.; Hiyoshi, H.; Tandhavanant, S.; Kodama, T. Advances on Vibrio parahaemolyticus research in the postgenomic era. Microbiol. Immunol. 2020, 64, 167–181. [Google Scholar] [CrossRef]
  69. Pazhani, G.P.; Chowdhury, G.; Ramamurthy, T. Adaptations of Vibrio parahaemolyticus to stress during environmental survival, host colonization, and infection. Front. Microbiol. 2021, 12, 737299. [Google Scholar] [CrossRef]
  70. Magaziner, S.J.; Zeng, Z.; Chen, B.; Salmond, G.P.C. The prophages of citrobacter rodentium represent a conserved family of horizontally acquired mobile genetic elements associated with enteric evolution towards pathogenicity. J. Bacteriol. 2019, 201, e00638-18. [Google Scholar] [CrossRef] [Green Version]
  71. Ridder, M.J.; Daly, S.M.; Hall, P.R.; Bose, J.L. Quantitative hemolysis assays. Methods Mol. Biol. 2021, 2341, 25–30. [Google Scholar] [CrossRef] [PubMed]
  72. Buongermino Pereira, M.; Österlund, T.; Eriksson, K.M.; Backhaus, T.; Axelson-Fisk, M.; Kristiansson, E. A comprehensive survey of integron-associated genes present in metagenomes. BMC Genom. 2020, 21, 495. [Google Scholar] [CrossRef] [PubMed]
  73. Kumar, S.; Bansal, K.; Patil, P.P.; Kaur, A.; Kaur, S.; Jaswal, V.; Gautam, V.; Patil, P.B. Genomic insights into evolution of extensive drug resistance in Stenotrophomonas maltophilia complex. Genomics 2020, 112, 4171–4178. [Google Scholar] [CrossRef] [PubMed]
  74. Rowe-Magnus, D.A.; Guérout, A.M.; Mazel, D. Super-integrons. Res. Microbiol. 1999, 150, 641–651. [Google Scholar] [CrossRef]
  75. Gonçalves, O.S.; Campos, K.F.; de Assis, J.C.S.; Fernandes, A.S.; Souza, T.S.; do Carmo Rodrigues, L.G.; Queiroz, M.V.; Santana, M.F. Transposable elements contribute to the genome plasticity of Ralstonia solanacearum species complex. Microb. Genom. 2020, 6, e000374. [Google Scholar] [CrossRef]
  76. Mackow, N.A.; Shen, J.; Adnan, M.; Khan, A.S.; Fries, B.C.; Diago-Navarro, E. CRISPR-Cas influences the acquisition of antibiotic resistance in Klebsiella pneumoniae. PLoS ONE 2019, 14, e0225131. [Google Scholar] [CrossRef] [Green Version]
  77. Koonin, E.V.; Makarova, K.S. Origins and evolution of CRISPR-Cas systems. Philos. Trans. R. Soc. Lond. B Biol. Sci. 2019, 374, 20180087. [Google Scholar] [CrossRef]
  78. Castillo, D.; Pérez-Reytor, D.; Plaza, N.; Ramírez-Araya, S.; Blondel, C.J.; Corsini, G.; Bastías, R.; Loyola, D.E.; Jaña, V.; Pavez, L.; et al. Exploring the genomic traits of non-toxigenic Vibrio parahaemolyticus strains isolated in southern chile. Front. Microbiol. 2018, 9, 161. [Google Scholar] [CrossRef] [Green Version]
  79. Ahmed, E.; Rehman, A.; Ali, M.A. Validation of serum C-reactive protein for the diagnosis and monitoring of antibiotic therapy in neonatal sepsis. Pak. J. Med. Sci. 2017, 33, 1434–1437. [Google Scholar] [CrossRef]
  80. El-Razik, K.A.A.; Arafa, A.A.; Hedia, R.H.; Ibrahim, E.S. Tetracycline resistance phenotypes and genotypes of coagulase-negative staphylococcal isolates from bubaline mastitis in Egypt. Vet. World. 2017, 10, 702–710. [Google Scholar] [CrossRef] [Green Version]
  81. Jo, S.; Shin, C.; Shin, Y.; Kim, P.H.; Park, J.I.; Kim, M.; Park, B.; So, J.S. Heavy metal and antibiotic co-resistance in Vibrio parahaemolyticus isolated from shellfish. Mar. Pollut. Bull. 2020, 156, 111246. [Google Scholar] [CrossRef]
Diversity 14 00350 g001 550
Figure 1. Survival of six V. parahaemolyticus isolates in different pH conditions. The isolates were incubated in TSB medium (3% NaCl) at 37 °C. (A–F): V. parahaemolyticus L7-7, N1-22, N3-33, N4-46, N8-42, and Q8-15, respectively.
Figure 1. Survival of six V. parahaemolyticus isolates in different pH conditions. The isolates were incubated in TSB medium (3% NaCl) at 37 °C. (A–F): V. parahaemolyticus L7-7, N1-22, N3-33, N4-46, N8-42, and Q8-15, respectively.
Diversity 14 00350 g001
Diversity 14 00350 g002 550
Figure 2. Survival of six V. parahaemolyticus isolates under different concentrations of NaCl. The isolates were incubated in TSB medium (pH 8.5) at 37 °C. (A–F): V. parahaemolyticus L7-7, N1-22, N3-33, N4-46, N8-42, and Q8-15, respectively.
Figure 2. Survival of six V. parahaemolyticus isolates under different concentrations of NaCl. The isolates were incubated in TSB medium (pH 8.5) at 37 °C. (A–F): V. parahaemolyticus L7-7, N1-22, N3-33, N4-46, N8-42, and Q8-15, respectively.
Diversity 14 00350 g002
Diversity 14 00350 g003 550
Figure 3. Genome circle maps of the six V. parahaemolyticus isolates. (A,B): represents the larger and smaller chromosomes of the six V. parahaemolyticus isolates, respectively. Circles from the inwards to outside: the first circle represents GC-skew (purple value is greater than zero, green value is less than zero); the second circle (in black), GC contents (outward part means higher than average, inward part means lower than average); the third circle (in light purple), the reference genome of V. parahaemolyticus RIMD 2210633; the fourth to nineth circles (in light blue to light green), V. parahaemolyticus L7-7, N1-22, N3-33, N4-46, N8-42, and Q8-15 genomes, respectively; and the tenth circle (in red), CDSs on the positive and negative chains (inward and outward parts), respectively.
Figure 3. Genome circle maps of the six V. parahaemolyticus isolates. (A,B): represents the larger and smaller chromosomes of the six V. parahaemolyticus isolates, respectively. Circles from the inwards to outside: the first circle represents GC-skew (purple value is greater than zero, green value is less than zero); the second circle (in black), GC contents (outward part means higher than average, inward part means lower than average); the third circle (in light purple), the reference genome of V. parahaemolyticus RIMD 2210633; the fourth to nineth circles (in light blue to light green), V. parahaemolyticus L7-7, N1-22, N3-33, N4-46, N8-42, and Q8-15 genomes, respectively; and the tenth circle (in red), CDSs on the positive and negative chains (inward and outward parts), respectively.
Diversity 14 00350 g003
Diversity 14 00350 g004 550
Figure 4. Phylogenetic tree showing the relationship of the 69 V. parahaemolyticus genomes. Complete genome sequences of the 63 V. parahaemolyticus isolates were retrieved from GenBank database with accession numbers showed in the tree. *: genome sequences of the six V. parahaemolyticus isolates determined in this study. The phylogenetic tree was constructed using the maximum likelihood approach with 1000 bootstrap replications, and the cutoff threshold for bootstrap values was above 50%.
Figure 4. Phylogenetic tree showing the relationship of the 69 V. parahaemolyticus genomes. Complete genome sequences of the 63 V. parahaemolyticus isolates were retrieved from GenBank database with accession numbers showed in the tree. *: genome sequences of the six V. parahaemolyticus isolates determined in this study. The phylogenetic tree was constructed using the maximum likelihood approach with 1000 bootstrap replications, and the cutoff threshold for bootstrap values was above 50%.
Diversity 14 00350 g004
Diversity 14 00350 g005 550
Figure 5. Gene organizations of the GIs identified in the six V. parahaemolyticus genomes (A,B). Different colors referred to COG classification to mark gene functions and genes not annotated to COG database were displayed in grey.
Figure 5. Gene organizations of the GIs identified in the six V. parahaemolyticus genomes (A,B). Different colors referred to COG classification to mark gene functions and genes not annotated to COG database were displayed in grey.
Diversity 14 00350 g005
Diversity 14 00350 g006 550
Figure 6. Structure diagram of the prophage gene clusters identified in the V. parahaemolyticus genomes.
Figure 6. Structure diagram of the prophage gene clusters identified in the V. parahaemolyticus genomes.
Diversity 14 00350 g006
Diversity 14 00350 g007 550
Figure 7. Structure diagram of the integrons identified in the six V. parahaemolyticus genomes. The complete integrons and incomplete gene cassettes identified in V. parahaemolyticus L7-7, N1-22, N3-33, N4-46, N8-42, and Q8-15 genomes are shown from light yellow to light purple, with the predicted attc/attl sites and ORFs.
Figure 7. Structure diagram of the integrons identified in the six V. parahaemolyticus genomes. The complete integrons and incomplete gene cassettes identified in V. parahaemolyticus L7-7, N1-22, N3-33, N4-46, N8-42, and Q8-15 genomes are shown from light yellow to light purple, with the predicted attc/attl sites and ORFs.
Diversity 14 00350 g007
Diversity 14 00350 g008 550
Figure 8. The structural features of CRISPRs identified in the V. parahaemolyticus genomes. The repeat sequences were shown by the rectangle of different colors and the spacer regions were represented by rhombuses of different colors.
Figure 8. The structural features of CRISPRs identified in the V. parahaemolyticus genomes. The repeat sequences were shown by the rectangle of different colors and the spacer regions were represented by rhombuses of different colors.
Diversity 14 00350 g008
Diversity 14 00350 g009 550
Figure 9. Venn diagram showing the core genes and strain-specific genes in the six V. parahaemolyticus genomes.
Figure 9. Venn diagram showing the core genes and strain-specific genes in the six V. parahaemolyticus genomes.
Diversity 14 00350 g009
Table
Table 1. Genome features of the six V. parahaemolyticus isolates originating in edible aquatic animals.
Table 1. Genome features of the six V. parahaemolyticus isolates originating in edible aquatic animals.
Genome FeatureV. parahaemolyticus Isolate
L7-7N1-22N3-33N4-46N8-42Q8-15
Genome size (bp)4,937,0425,067,7785,018,9895,049,5145,010,4764,993,599
G + C (%)45.3645.2045.3245.2945.3945.34
DNA Scaffold545860776136
Total predicted gene474949194815487848324756
Protein-coding gene462447914707476847064622
RNA gene125128108110126134
Genes assigned to COG386238923852388638753854
Genes with unknown function106410941086110711021093
GI696675
Prophage gene cluster010121
CRISPR-Cas023001
Integron2151186
IS301011
16S rDNA sequence accession no.MW386441MW386442MW386445MW386446MW386450MW386453
Table
Table 2. The antimicrobial and heavy metal resistance-associated genes identified in the six V. parahaemolyticus genomes.
Table 2. The antimicrobial and heavy metal resistance-associated genes identified in the six V. parahaemolyticus genomes.
Antimicrobial AgentGeneV. parahaemolyticus Isolates
CephalosporinacrBL7-7, N1-22, N3-33, N4-46, N8-42, Q8-15
PhenicolcatBL7-7, N1-22, N3-33, N4-46, N8-42, Q8-15
SoxRL7-7, N1-22, N3-33, N4-46, N8-42, Q8-15
FluoroquinolonehnsL7-7, N1-22, N3-33, N4-46, N8-42, Q8-15
acrBL7-7, N1-22, N3-33, N4-46, N8-42, Q8-15
qnrL7-7, N1-22, N3-33, N4-46, N8-42, Q8-15
crpL7-7, N1-22, N3-33, N4-46, N8-42, Q8-15
Tetracyclinetet(35)L7-7, N1-22, N3-33, N4-46, N8-42, Q8-15
tet(34)L7-7, N1-22, N3-33, N4-46, N8-42, Q8-15
hnsL7-7, N1-22, N3-33, N4-46, N8-42, Q8-15
acrBL7-7, N1-22, N3-33, N4-46, N8-42, Q8-15
SoxRL7-7, N1-22, N3-33, N4-46, N8-42, Q8-15
Beta-lactamblaCARB-18N3-33
blaCARB-19L7-7, N1-22, N8-42, Q8-15
blaCARB-21L7-7, N1-22, N3-33, N8-42, Q8-15
blaCARB-23N4-46
blaCARB-29N3-33, N4-46,Q8-15
blaCARB-35N1-22
blaCARB-33N3-33
blaCARB-41N3-33
blaCARB-44L7-7, N8-42
blaCARB-45N1-22
blaCARB-48N1-22
DiaminopyrimidinefolAL7-7, N1-22, N3-33, N4-46, N8-42, Q8-15
MacrolidemacBL7-7, N1-22, N3-33, N4-46, N8-42, Q8-15
NitroimidazolemsbAL7-7, N1-22, N3-33, N4-46, N8-42, Q8-15
Heavy metalcusAL7-7, N1-22, N3-33, N4-46, N8-42, Q8-15
Heavy metalcusRL7-7, N1-22, N3-33, N4-46, N8-42, Q8-15
Heavy metalcusSL7-7, N1-22, N3-33, N4-46, N8-42, Q8-15
Heavy metalzntAL7-7, N1-22, N3-33, N4-46, N8-42, Q8-15
Heavy metalcopAL7-7, Q8-15
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Xu, D.; Peng, X.; Xie, L.; Chen, L. Survival and Genome Diversity of Vibrio parahaemolyticus Isolated from Edible Aquatic Animals. Diversity 2022, 14, 350. https://doi.org/10.3390/d14050350

AMA Style

Xu D, Peng X, Xie L, Chen L. Survival and Genome Diversity of Vibrio parahaemolyticus Isolated from Edible Aquatic Animals. Diversity. 2022; 14(5):350. https://doi.org/10.3390/d14050350

Chicago/Turabian Style

Xu, Dingxiang, Xu Peng, Lu Xie, and Lanming Chen. 2022. "Survival and Genome Diversity of Vibrio parahaemolyticus Isolated from Edible Aquatic Animals" Diversity 14, no. 5: 350. https://doi.org/10.3390/d14050350

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop