ABSTRACT
Vibrio cidicii is an opportunistic pathogen that is widely distributed in the environment worldwide. Using whole-genome sequencing (WGS), we investigated the genetic characteristics of V. cidicii isolated from the seawater (named as V. cidicii VC01) by the Chinese Center for Disease Control and Prevention in Nantong, China. VC01 comprised two circular chromosomes, containing 4,013 potential coding sequences and 151 RNA genes. A phylogenetic tree constructed from the 16S rRNA genes of Vibrio spp. indicated that V. cidicii strains were closely related to V. navarrensis strains. The phylogenetic tree of single nucleotide polymorphisms revealed that 19 V. cidicii strains, including 18 V. cidicii strains from the National Center for Biotechnology Information database and VC01, were divided into three genotypes with VC01 belonging to genotype 2. Based on the genetic screening of virulence factors, the 19 strains were classified into nine functional categories, and the differences between strains were mainly in adherence and immune modulation. All V. cidicii strains carried six antimicrobial resistance genes (AMRs), while VC01 carried two additional AMRs (dfrA3 and qnrVC6). We defined five V. cidicii O-genotypes (VCOg, named VCOg1–VCOg5) based on analyses of the O-antigen biosynthesis gene clusters (O-AGCs). The O-AGCs genotype of V. cidicii VC01 was VCOg4. Based on WGS, we found that VC01 carried a Tn7-like transposon with a type I restriction-modification system. Through comparative analysis, we first revealed the O-AGCs diversity in V. cidicii strains and the unique strain VC01 carrying a Tn7-like transposon with a type I restriction-modification system.
IMPORTANCE
Vibrio cidicii strains are opportunistic pathogens causing bacteremia in humans and can be multidrug-resistant. Since few studies report on Vibrio cidicii strains, there is a lack of knowledge of the genetic diversity, presence of antimicrobial resistance genes, and virulence factors in V. cidicii strains. This study revealed the genomic features, phylogeny, and diversity of V. cidicii strains, highlighting five O-antigen biosynthesis gene cluster genotypes in V. cidicii strains and a Tn7-like transposon carrying a type Ⅰ restriction-modification in VC01. These findings provide new insights into the genetic diversity and antimicrobial potential of V. cidicii strains.
KEYWORDS: Vibrio cidicii, comparative genomics, O-antigen, Tn7-like transposon
INTRODUCTION
Vibrio is a gram-negative, facultative anaerobic bacterium widely distributed in the marine environment and generally requires sodium for growth (1). Vibrio cidicii is a rod-shaped and motile bacterium that was first identified by Orata (2016) in USA (2). V. cidicii is widely distributed in river water and seawater samples worldwide (2, 3). V. cidicii is an opportunistic pathogen that causes bacteremia in humans and can be multidrug-resistant (2).
The O-specific polysaccharides (O-antigens) covering the outermost layer of gram-negative bacteria are responsible for serological diversity. This variable constituent of the cell is arguably responsible for the virulence of the bacteria. O-antigen analysis is a key element in the serotyping of Vibrio. The O-antigens have been well studied in Vibrio spp. like V. cholerae, V. parahaemolyticus, and V. metschnikovii (4–6). In V. metschnikovii and V. cholerae, the genes that generate the O-antigen are distributed between the epimerase gene, gmhD, and the cleavage gene, rjg, which are involved in the major stages of lipopolysaccharide-core generation (4, 6). The O-genotypes have not been identified in V. cidicii strains. Thus, a systematic and large-scale analysis of V. cidicii O-antigen biosynthesis gene clusters (O-AGCs) is needed to better understand the diversity of its O-genotypes.
Tn7 is a distinctive bacterial transposon composed of five genes, tnsABCDE (7). The dissemination of Tn7 and related elements, called Tn7-like elements that contain homologs of the Tn7 transposition proteins, is present in highly diverged bacteria adapted to a remarkable number of different environments (8, 9). In V. cholerae strains, the Tn7-like transposon consists of four genes: tnsABC and tniQ (10). TniQ shows homology to TnsD, which targets a sequence-specific site, attTn7, for insertion (11). Tn7-like transposon has not yet been reported in V. cidicii, leaving a significant gap in our understanding of its host range and evolutionary dynamics. Thus, we analyzed V. cidicii strains isolated in our study and from the National Center for Biotechnology Information (NCBI) database to explore the diversity and distribution of Tn7-like transposon, providing insights into its potential role.
The objectives of this study were to investigate the genomic features, genetic diversity, and evolutionary relationships of V. cidicii strains in our study and from the NCBI database, with a focus on the distributions of virulence factors (VFs), antimicrobial resistance genes (AMRs), O-antigens, and Tn7-like transposon. By analyzing V. cidicii strains that have not been systematically analyzed before, this study provides novel insights into the O-AGCs diversity and mobilization potential of Tn7-like transposon in V. cidicii strains.
RESULTS
The genomic characterization of VC01
V. cidicii VC01 was isolated from the seawater by the Center for Disease Control and Prevention (CDC) in Nantong, China. VC01 was initially recognized as Vibrio vulnificus based on colony morphology, salt tolerance, and bioMérieux VITEK 2 compact instrument (bioMérieux, Marcy-l’Étoile, France), and sequenced with V. vulnificus VV2018. The genome completeness and contamination of VC01 were 100% and 0.4%, respectively. The average nucleotide identity (ANI) value between VC01 and V. vulnificus ATCC 27562 (reference genome, ASM222426v1) was 85.52%, while the ANI value between VC01 and other V. cidicii strains available from the NCBI genome database was 98.27% (range: 98.07%–98.36%). Thus, the strain was identified as Vibrio cidicii and named VC01.
The complete genome of VC01 comprised two chromosomes, Chr I and Chr II. The Chr I consisted of 3,273,343 bp with a GC content of 48.08% containing 2,868 predicted coding sequences (CDSs), 105 tRNA genes, and 31 rRNA genes (Table 1T). The Chr II consisted of 1,363,011 bp with a GC content of 47.90% containing 1,145 predicted CDSs, 12 tRNA genes, and 3 rRNA genes (Table 1). A total of 330 representative sequences were used to investigate the phylogenetic relationships between V. cidicii and the other Vibrio spp. (Table S1). The phylogenetic tree of the 16S rRNA genes of representative Vibrio spp. indicated that V. cidicii strains were closely related to V. navarrensis strains (Fig. 1).
TABLE 1.
Genomic characteristics of the V. cidicii VC01
| Feature | Chr I | Chr II |
|---|---|---|
| Length (bp) | 3,273,343 | 1,363,011 |
| G+C content (%) | 48.08 | 47.90 |
| Predicted CDSs | 2,868 | 1,145 |
| Average length (bp) | 965 | 1,031 |
| Known proteins | 1,825 | 601 |
| Hypothetical proteins | 1,043 | 544 |
| Protein coding (%) | 84.62 | 86.67 |
| tRNA genes | 105 | 12 |
| 16S rRNA genes | 10 | 1 |
| 23S rRNA genes | 10 | 1 |
| 5S rRNA genes | 11 | 1 |
Fig 1.
The 16S rRNA gene phylogenetic tree obtained in iTOL using the 16S rRNA gene sequences of Vibrio spp. and their related taxa using the maximum likelihood method. Aliivibrio finisterrensis A32 was used as the outgroup.
Functional analyses of VC01
The Cluster of Orthologous Groups (COG) and Kyoto Encyclopedia of Genes and Genomes (KEGG) annotations are shown in Fig. 2. The COG annotation of the VC01 genome involved 22 categories. The highest number of genes was identified with unknown functionality, suggesting the presence of potentially novel adaptive traits. The five other categories with the largest number of genes were transcription, signal transduction mechanisms, amino acid transport and metabolism, inorganic ion transport and metabolism, and translation, ribosomal structure, and biogenesis (Fig. 2A).
Fig 2.
The functional annotation of CDSs in the whole genome of V. cidicii VC01. (A) The COG functional annotation of CDSs of V. cidicii VC01. (B) The KEGG functional annotation of CDSs of V. cidicii VC01.
Based on KEGG annotations, the VC01 genome had eight major categories including 47 KEGG pathways. Among them, the BRITE hierarchies category contained the highest gene count (approximately 1,616), involving in signaling and cellular processes and genetic information processing, followed by the biosynthesis of metabolism (approximately 1,382), involving in carbohydrate metabolism and amino acid metabolism (Fig. 2B).
The CAZyme repertoire of VC01 consisted of 78 unique proteins with 84 CAZyme domains (Fig. 3). The genome of VC01 was dominated by 49 glycoside hydrolases (GH), followed by 16 glycosyltransferases (GT), 9 carbohydrate-binding modules (CBM), 6 carbohydrate esterases (CE), and 4 auxiliary activity (AA) family proteins. The GHs, GTs, CBMs, and CEs belonged to 23, 11, 7, and 4 families, respectively. The AAs were classified into three families: families 3, 6, and 10. Among the GHs, GH13 was the dominant family, with 12 representative members involved in the hydrolysis of α-linkages in glucans.
Fig 3.
Family-wise distribution of different CAZyme classes in the genome of V. cidicii VC01. The different CAZyme classes shown are AA, auxiliary activities; CBM, carbohydrate-binding modules; CE, carbohydrate esterases; GH, glycoside hydrolases; and GT, glycosyltransferases.
Comparative genomic analysis of VC01
A total of 19 V. cidicii strains, including VC01, were used to construct the phylogenetic tree based on the core single nucleotide polymorphisms (SNPs) (Table S2 and Fig. 4). Most strains (17/19, 89.47%) were isolated from the environment, while only two strains were isolated from humans in USA. The phylogenetic tree of core SNPs showed that 19 V. cidicii strains were divided into three genotypes, including genotype 1, genotype 2, and genotype 3. Genotype 1 and genotype 2 each contained only one strain: 2423-01 and VC01 strain, respectively. The other 17 V. cidicii strains were clustered in genotype 3, where the V. cidicii strains isolated from Denmark were all in a sub-lineage.
Fig 4.
An unrooted maximum likelihood phylogenetic tree of V. cidicii VC01 with 18 other V. cidicii strains based on core genome SNPs.
A total of 117 VFs were predicted among the 19 V. cidicii strains, and these VFs were mainly associated with motility (peritrichous flagella and polar flagella), adherence (MSHA pili and type IV pili), immune modulation (capsule and capsular polysaccharide), effector delivery system (Eps T2SS), and nutritional/metabolic factor (viuPDGC system) (Fig. 5). The largest difference among V. cidicii strains was in adherence and immune modulation, which likely affected their niche adaptation and survival in different environments. With the exception of the mshA gene, the VC01 strain encoded the most VFs associated with adherence compared to the other 18 V. cidicii strains. Compared to the other 18 V. cidicii strains, VC01 lacked VFs associated with immune modulation, including rmlA, wbfUY, wecBC, and wcaJ.
Fig 5.
Presence/absence of VFs and resistance-related genes in each V. cidicii genome.
Nine AMRs were identified in the genome of 19 V. cidicii strains (Fig. 5). All 19 V. cidicii strains encoded six AMRs, including tet(35), qnrVC1, msbA, rsmA, crp, and ugd. The VC01 strain and 2538-88 strain encoded the dfrA3 gene. The VC01 strain exclusively encodes the qnrVC6 gene that is required to confirm the phenotypic impact of this gene, while the VN-3125 strain uniquely encodes the aph6-Id gene.
O-AGCs of V. cidicii
The 19 V. cidicii genome sequences were used to analyze the O-AGCs of V. cidicii strains (Table S2). Due to the draft genomes of some V. cidicii strains, only five V. cidicii genomes had contiguous, fully assembled sequences covering the region between gmhD and rjg (encoding epimerase and metallo-hydrolase). The five O-AGCs of V. cidicii strains were all different and grouped into five clearly distinguishable O-antigen genotypes based on their genetic organization (Fig. 6) and termed as VCOg1–VCOg5, respectively. The O-AGCs genotype of VC01 was VCOg4.
Fig 6.
The genetic structures of the five V. cidicii O-genotypes identified from the V. cidicii reference strains. The different colored arrows indicate the function, location, and direction of gene transcripts in the O-AGCs.
The O-AGCs in V. cidicii strains exhibited high diversity due to variations in their arrangement and organization (Table S3). However, they all contained three major classes of genes, namely nucleotide sugar biosynthesis genes, GT genes, and polysaccharide biosynthesis and export genes. Nucleotide sugar biosynthesis genes showed distinct distributions across clusters (Table S3). For putative glycosyltransferase genes, each genotype contained 1–6 genes, with genes in families 2, 4, and 8 being widely distributed. For polysaccharide biosynthesis and export genes, three conserved genes (wza, wzb, and wzc) as shown in Fig. 6, which are responsible for polymerization control and the translocation of CPS, were present in all genotypes (VCOg1–VCOg5).
The genes between gmhD and rjg were similar among VCOg1–VCOg4, with other functions (Table S3). Furthermore, the O-AGCs genotype of VCOg4 of the VC01 strain was very similar to VCOg3 of the 2756-81 strain. Besides the three major classes of genes, both VCOg3 and VCOg4 contained GDP-sugar pathway genes (gmd, fcl, gmm, manA, manB, and manC) responsible for the formation of GDP-D-Man, and some inserted sequences (IS, like ISAs1).
Comparative analysis of the Tn7-like transposon of VC01
Based on comparative analysis with the 18 other V. cidicii strains, the Tn7-like transposon was found in the VC01 genome (Fig. 7). The sequence of the 2756-81 strain was used as the representative sequence for the sequences of the other 17 V. cidicii strains. The Tn7-like transposon in the VC01 strain was integrated downstream of uspB and upstream of yhiN (encoding NAD(P)/FAD-dependent oxidoreductase and bifunctional diguanylate cyclase/phosphodiesterase). The Tn7-like transposon in the VC01 and VN-3139 strains comprises the transposase genes, tnsABCD, and a target-site selector tniQ/tnsD. The transposon contained type I restriction-modification system subunits (hsdS-hsdM-hsdS and hsdR), phospholipase, nucleotidyltransferase, and other genes of unknown function in VC01. The Tn7-like transposon lacking tnsC in VN-3139 contained genes encoding ATP-binding protein, nucleotidyltransferase, thiamine, and Mov34/MPN/PAD-1 family protein. The sequences of tnsABD and tniQ showed high divergence in VC01 and VN-3139.
Fig 7.
Comparative genomic analysis of the genetic context of Tn7-like genes in V. cidicii VC01 with the sequences of two other V. cidicii strains. The location and polarity of CDSs are shown with arrows. The extent of homologous regions is indicated by dark gray shading.
The 23 sequences of Vibrio genus with high identity compared with the Tn7-like transposons in NCBI database were used for further analysis (Table S4). Of 23 strains, 73.91% were Vibrio parahaemolyticus, all isolated from China, followed by Vibrio cholerae (13.04%), Vibrio metoecus (8.70%), and Vibrio fluvialis (4.35%). The 24 sequences, including VC01, were grouped into seven clusters. Most of the sequences (14/24, 58.33%) were grouped into cluster 2.
Seven sequences were used as representative sequences for further analyses (Fig. S1). All Tn7-like transposons contained tnsABCD, hsdS-hsdM-hsdS, hsdR, and tniQ except Vibrio parahaemolyticus C3_5 and Vibrio parahaemolyticus Vb2627. Despite low sequence identity, the downstream gene hsdS of hsdM was annotated with the same name as in other sequences, retaining the same functional designation. As shown in Fig. S1, the sequence of the Tn7-like transposon of VC01 was similar to that of Vibrio fluvialis VF035 isolated from a fish in Shandong, China. Because the genome of V. fluvialis VF035 was a draft, the tnsA gene was truncated, and the genes upstream of tnsA were not found. The gene downstream of the Tn7-like transposon in VC01 was yhiN, while there were araH and araG in V. fluvialis VF035.
Comparative analysis of Tn7-like sequences
A total of 413 sequences containing tnsA were downloaded from the NCBI database for further analysis (Table S5). Only one V. cidicii strain, V. cidicii VN-3139, encoding tnsA was found in the database. Most of the strains encoding tnsA were Enterobacter hormaechei (145, 35.02%) and Vibrio cholerae (123, 29.71%). The tnsA was positioned in the genomic region flanked by the genes encoding NAD(P)/FAD-dependent oxidoreductase and TnsBCD in most sequences (93, 22.46%) (Fig. 8). All genes encoding restriction endonuclease system proteins were downstream of tnsABCD. Aside from restriction endonuclease system genes, the genes (ktrA and ktrB) encoding the Ktr system potassium uptake proteins were found downstream of tnsABCD in some strains, such as Vibrio cholerae and Vibrio anguillarum.
Fig 8.
Sankey diagrams for the function of genes upstream and downstream of TnsA among different strains. The length of the columns represents the proportion of the isolates. The thicker the line, the greater the number of isolates involved.
DISCUSSION
Genomic analysis confirmed that VC01 belongs to V. cidicii, consistent with established species delineation criteria (12). Until now, only two studies have reported the isolation and genomic features of V. cidicii strains (2, 3). This is the first report of a comparative genomic analysis of VC01 strain isolated from Nantong, China. The genome of the VC01 strain consisted of two chromosomes without plasmids, as determined by PlasmidFinder. The phylogenetic tree of 16S rRNA genes showed that the V. cidicii strains were closely related to V. navarrensis strains, corresponding with the result of the phylogenetic tree of four housekeeping genes and whole-genome variations in Vibrio spp. (2). As few reports studied the function of V. cidicii genes, about 40% of genes in VC01 had unknown functions. Thus, further investigation is needed to elucidate the functions of the remaining genes of unknown function, using approaches such as gene knockouts or overexpression, transcriptomic and proteomic analyses, and protein functional assays.
The COG and KEGG analysis of the CDSs of VC01 indicated that most of the genes were assigned to the functional categories for transcription, cellular signaling, and metabolism (especially carbohydrate metabolism and amino acid metabolism), which are frequently associated with bacterial life cycle activities and energy metabolism; thus, suggesting that they possess a strong ability to metabolize amino acids and carbohydrates. Those findings further corroborated the importance of carbohydrates as an energy source for the biological functions of VC01 strains (13). The GH family of genes plays an important role in a variety of biological processes including sugar biosynthesis (14). The GH13 was the dominant GH family in the VC01 strain, indicating their potential to degrade starch and pullulan (15). The VC01 strain encoded the most VFs associated with adherence (including mshCD) and did not encode the mshA gene. A previous study reported that Vibrio parahaemolyticus strains with mshCD, but lacking mshA, were identified as strong biofilm-forming strains (16). Compared with 18 other V. cidicii strains, the gmd gene was found in three V. cidicii strains including VC01. GMD catalyzes the conversion of GDP-D-mannose to GDP-4-dehydro-6-deoxy-D-mannose (17). The gmd gene was also a part of O-AGCs (VCOg3 and VCOg4) that can modulate c-di-GMP levels (18). The absence of VFs associated with the immune modulation of VC01 (rmlA, wbfUY, wecBC, and wcaJ) may exhibit potential toxic effects via adherence or antiphagocytosis or act directly as toxins (19). Six antibiotic resistance genes (crp, ugd, msbA, rsmA, tet(35), and qnrVC1) were found in all V. cidicii genomes. Those genes might increase the resistance of V. cidicii strains to macrolides, penams, fluoroquinolones, polymyxins, colistins, nitroimidazoles, diaminopyrimidines, phenicols, tetracyclines, and quinolones (20, 21). The VC01 strain encoded a quinolone resistance gene (qnrVC6) and a trimethoprim resistance gene (dfrA3) (22, 23). The ISNCY family transposase was detected downstream of qnrVC6, suggesting that ISNCY and qnrVC6 might be transmitted via horizontal gene transfer. The O-AGCs based on Vibrio serotyping have become the “gold standard” for the clinical detection and epidemiological surveillance of human Vibrio pathogens (24). We defined five O-genotypes, named VCOg1–VCOg5, respectively. Assembly errors from short reads or variations resulting from different assembly methods require attention (25, 26). A potential mechanism for recombination and deletion events could also contribute to the antigenic diversity (27). We found that V. cidicii had considerable O-antigen diversity, suggesting that the genetic differences among those strains were also representative. Conversely, 14 V. cidicii strains had O-genotypes still to be identified in future work as their genome sequences were drafts. Although our findings suggested that the natural O-AGCs diversity among V. cidicii strains may be broader than currently recognized, this hypothesis required further validation. Future studies employing whole-genome sequencing and systematic screening of V. cidicii isolates will be essential to comprehensively assess the extent of O-AGCs diversity.
The Tn7 and Tn7-like transposons are widely dispersed in bacteria, such as Acinetobacter baumannii, Burkholderia, Pseudomonas syringae, and Vibrio cholerae (28–31). The cargo genes, including antibiotic resistance gene cassettes, heavy metal resistance genes, iron-sequestering siderophores, nonribosomal peptide synthases, restriction-modification enzymes, and many other genes of unknown function, were transferred by Tn7 and Tn7-like transposons (8, 9, 30, 32). By comparative analyses, we found that Tn7-like transposons were widely dispersed in Vibrio spp. and other strains, such as Enterobacter hormaechei and Klebsiella pneumoniae. The cargo genes encoding the proteins of unknown function, restriction endonuclease systems, and Ktr system potassium uptake proteins were carried by Tn7-like transposons. In Vibrio cholerae, the type I restriction-modification system is also associated with Tn7-like transposons (31). The acquisition of a restriction-modification system is indicative of traits that may be critical for bacterial fitness, either when competing in a polymicrobial setting (e.g., the gut) or in its native aquatic environment (31).
Conclusion
This study investigated the genomic features of VC01 isolated from seawater in Nantong, China. It is the first study of the function of genes in VC01 and the diversity of VFs and AMRs among V. cidicii strains using comparative analysis. The phylogenetic tree of the core SNPs showed that 19 V. cidicii strains were divided into three genotypes. The VC01 strain belonged to genotype 2. We first reported and revealed the genomic structure of five O-AGCs of V. cidicii strains (VCOg1–VCOg5). We first found that the Tn7-like transposon carried a type I restriction-modification system in VC01. In addition, we found that Tn7-like transposons carried different cargo genes among bacteria.
MATERIALS AND METHODS
Bacterial strain and genomic DNA extraction
VC01 was isolated from the seawater by the CDC in Nantong, China, in 2019. The VC01 strain was initially recognized as Vibrio vulnificus, and was identified by ANI analysis. The genomic DNA of VC01 was extracted using a TIANamp Bacteria DNA Kit (Tiangen Biotech Company Ltd., Beijing, China) according to the manufacturer’s protocol.
Genomic DNA sequencing, assembly, and annotation
The extracted genomic DNA of VC01 was sequenced using the PacBio Sequel system (Pacific Biosciences, Menlo Park, CA, USA) and Illumina HiSeq X Ten system (Illumina, San Diego, CA, USA). The PacBio long reads were assembled using Hifiasm v0.13-r308 and Canu v2.2 to ensure a robust genome assembly from long-read data (33, 34), and the Illumina short reads were mapped onto the assembled contigs to correct the primary assembly and control assembly quality using Pilon 1.22 and Quiver (35, 36). The genomic completeness and contamination of VC01 were evaluated by CheckM2 v1.0.1 with default settings (37). The rRNA and tRNA sequences were annotated using RNAmmer and tRNAscan-SE, respectively (38, 39). The potential CDSs were predicted and annotated by Prokka v1.14.6 due to its efficiency and accuracy in bacterial genome annotation (40). The CDSs of interest were annotated manually using the UniProtKB/SWISS-Prot database (41). KEGG and COG were analyzed using KofamScan v1.3.0 and eggNOG-mapper (http://eggnog-mapper.embl.de/), respectively (42, 43). The putative VFs and AMRs were identified using the virulence factors database (VFDB_setB) by BLASTx and the Resistance Gene Identifier v6.0.3 (https://github.com/arpcard/rgi) against the Comprehensive Antibiotic Resistance Database, respectively, because they are widely recognized and regularly updated resources for AMRs and VFs (44, 45).
Phylogenetic analysis
A total of 330 representative sequences of Vibrio and Aliivibrio finisterrensis A32 used as outgroup were downloaded from the NCBI database to construct the phylogenetic tree of 16S rRNA genes. The sequences of the 16S rRNA genes were annotated using RNAmmer. The 16S rRNA genes were aligned using MAFFT v7.520 and trimmed using trimAl v1.4 (46, 47). The maximum likelihood (ML) phylogenetic analysis of the 16S rRNA genes was performed using IQ-TREE v2.2.6 with the TPM3+I+R10 model (1,000 bootstraps) and illustrated by iTOL v6.6 (48, 49).
Comparative genomic analysis
A total of 18 available V. cidicii genome sequences, 24 Vibrio spp. sequences, and 413 sequences encoding tnsA were downloaded for further analysis. The whole-genome ANI between pairwise V. cidicii strains was calculated by the average_nucleotide_identity.py program in the pyani packages (https://github.com/widdowquinn/pyani). The core genome of these strains was produced by Harvest v1.1.2 using the Vibrio cidicii 2423-01 genome as the reference (50). Recombination events were removed from the core-genome alignment using Gubbins v2.2.0 (51). SNPs were then extracted from the recombination-free core genome alignment using SNP-sites v2.4.0 (52). The ML phylogenetic tree of SNPs was constructed using RAxML v8.2.12 in the GTRGAMMA model (1,000 bootstrap) and illustrated by iTOL v6.6 (53). The gmhD and rjg were used as marker genes to analyze the O-AGCs of V. cidicii strains. The CD-HIT was used to cluster the retained sequences with identity of 90% and coverage of 90% (54). Comparisons of the O-AGC sequences and Tn7-like region sequences were visualized using EasyFig v2.2.5 (55).
ACKNOWLEDGMENTS
S.W., X. Li, and X. Luo collected the strains and performed the experiments. M.Z. analyzed the experimental results. F.W. performed the bioinformatic analysis. F.W., S.J., and R.L. co-led the writing of the manuscript. R.L. designed the work. All authors read and approved the final manuscript. F.W. and S.W. contributed equally to this work.
Contributor Information
Shenjie Ji, Email: 1275558317@qq.com.
Renfei Lu, Email: rainman78@163.com.
Sudhir Pratap Singh, Gujarat Biotechnology University, Gandhinagar, Gujarat, India.
DATA AVAILABILITY
The genome sequences of V. cidicii VC01 are deposited in the NCBI database under BioProject accession number PRJNA1284038.
SUPPLEMENTAL MATERIAL
The following material is available online at https://doi.org/10.1128/spectrum.02209-25.
Comparative analysis of the Tn7-ike regions of seven representatives from 24 sequences.
The 16S rRNA gene of representative strains downloaded from the NCBI database.
Information concerning V. cidicii strains from the NCBI database.
The gene clusters and their key genes with predicted function in the O-AGCs genotype.
The details of Vibrio spp. containing Tn7-like sequences.
The sequences containing tnsA downloaded from the NCBI database.
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REFERENCES
- 1. Homma M, Nishikino T, Kojima S. 2022. Achievements in bacterial flagellar research with focus on Vibrio species. Microbiol Immunol 66:75–95. doi: 10.1111/1348-0421.12954 [DOI] [PubMed] [Google Scholar]
- 2. Orata FD, Xu Y, Gladney LM, Rishishwar L, Case RJ, Boucher Y, Jordan IK, Tarr CL. 2016. Characterization of clinical and environmental isolates of Vibrio cidicii sp. nov., a close relative of Vibrio navarrensis. Int J Syst Evol Microbiol 66:4148–4155. doi: 10.1099/ijsem.0.001327 [DOI] [PubMed] [Google Scholar]
- 3. Hounmanou YMG, Hougbenou B-GJ, Dougnon VT, Hammerl J-A, Dalsgaard A. 2025. Vibrio cidicii genomes recovered from Baltic Sea samples in Denmark. Microbiol Resour Announc 14:e0112124. doi: 10.1128/mra.01121-24 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Lee I, Ha S-M, Baek M, Kim DW, Yi H, Chun J. 2021. VicPred: a Vibrio cholerae genotype prediction tool. Front Microbiol 12:691895. doi: 10.3389/fmicb.2021.691895 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. van der Graaf-van Bloois L, Chen H, Wagenaar JA, Zomer AL. 2023. Development of Kaptive databases for Vibrio parahaemolyticus O- and K-antigen genotyping. Microb Genom 9. doi: 10.1099/mgen.0.001007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Huang Z, Yu K, Lan R, Glenn Morris J, Xiao Y, Ye J, Zhang L, Luo L, Gao H, Bai X, Wang D. 2023. Vibrio metschnikovii as an emergent pathogen: analyses of phylogeny and O-antigen and identification of possible virulence characteristics. Emerg Microbes Infect 12:2252522. doi: 10.1080/22221751.2023.2252522 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Murase K, Arakawa E, Izumiya H, Iguchi A, Takemura T, Kikuchi T, Nakagawa I, Thomson NR, Ohnishi M, Morita M. 2022. Genomic dissection of the Vibrio cholerae O-serogroup global reference strains: reassessing our view of diversity and plasticity between two chromosomes. Microb Genom 8. doi: 10.1099/mgen.0.000860 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Parks AR, Peters JE. 2009. Tn7 elements: engendering diversity from chromosomes to episomes. Plasmid 61:1–14. doi: 10.1016/j.plasmid.2008.09.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Parks AR, Peters JE. 2007. Transposon Tn 7 is widespread in diverse bacteria and forms genomic islands. J Bacteriol 189:2170–2173. doi: 10.1128/JB.01536-06 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Alalmaie A, Diaf S, Khashan R. 2023. Insight into the molecular mechanism of the transposon-encoded type I-F CRISPR-Cas system. J Genet Eng Biotechnol 21:60. doi: 10.1186/s43141-023-00507-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. McDonald ND, Regmi A, Morreale DP, Borowski JD, Boyd EF. 2019. CRISPR-Cas systems are present predominantly on mobile genetic elements in Vibrio species. BMC Genomics 20:105. doi: 10.1186/s12864-019-5439-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Goris J, Konstantinidis KT, Klappenbach JA, Coenye T, Vandamme P, Tiedje JM. 2007. DNA-DNA hybridization values and their relationship to whole-genome sequence similarities. Int J Syst Evol Microbiol 57:81–91. doi: 10.1099/ijs.0.64483-0 [DOI] [PubMed] [Google Scholar]
- 13. Lu W, Zha B, Lyu J, LingHu C, Chen J, Deng S, Zhang X, Li L, Wang G. 2024. Whole-genome sequencing and genomic analysis of four Akkermansia strains newly isolated from human feces. Front Microbiol 15:1500886. doi: 10.3389/fmicb.2024.1500886 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Lammens W, Le Roy K, Schroeven L, Van Laere A, Rabijns A, Van den Ende W. 2009. Structural insights into glycoside hydrolase family 32 and 68 enzymes: functional implications. J Exp Bot 60:727–740. doi: 10.1093/jxb/ern333 [DOI] [PubMed] [Google Scholar]
- 15. Graebin NG, Schöffer J da N, Andrades D de, Hertz PF, Ayub MAZ, Rodrigues RC. 2016. Immobilization of glycoside hydrolase families GH1, GH13, and GH70: state of the art and perspectives. Molecules 21:1074. doi: 10.3390/molecules21081074 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Wang D, Fletcher GC, On SLW, Palmer JS, Gagic D, Flint SH. 2023. Biofilm formation, sodium hypochlorite susceptibility and genetic diversity of Vibrio parahaemolyticus. Int J Food Microbiol 385:110011. doi: 10.1016/j.ijfoodmicro.2022.110011 [DOI] [PubMed] [Google Scholar]
- 17. Huang Z, Yu K, Fang Y, Dai H, Cai H, Li Z, Kan B, Wei Q, Wang D. 2020. Comparative genomics and transcriptomics analyses reveal a unique environmental adaptability of Vibrio fujianensis. Microorganisms 8:555. doi: 10.3390/microorganisms8040555 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Zamorano-Sánchez D, Xian W, Lee CK, Salinas M, Thongsomboon W, Cegelski L, Wong GCL, Yildiz FH. 2019. Functional specialization in Vibrio cholerae diguanylate cyclases: distinct modes of motility suppression and c-di-GMP production. mBio 10:e00670-19. doi: 10.1128/mBio.00670-19 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Xue M, Huang X, Xue J, He R, Liang G, Liang H, Liu J, Wen C. 2022. Comparative genomic analysis of seven Vibrio alginolyticus strains isolated from shrimp larviculture water with emphasis on chitin utilization. Front Microbiol 13:925747. doi: 10.3389/fmicb.2022.925747 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Singh H, Velamakanni S, Deery MJ, Howard J, Wei SL, van Veen HW. 2016. ATP-dependent substrate transport by the ABC transporter MsbA is proton-coupled. Nat Commun 7:12387. doi: 10.1038/ncomms12387 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Fuesslin V, Krautwurst S, Srivastava A, Winter D, Liedigk B, Thye T, Herrera-León S, Wohl S, May J, Fobil JN, Eibach D, Marz M, Schuldt K. 2022. Prediction of antibiotic susceptibility profiles of Vibrio cholerae isolates from whole genome illumina and nanopore sequencing data: cholerAegon. Front Microbiol 13:909692. doi: 10.3389/fmicb.2022.909692 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Zhang Y, Zheng Z, Chan EW-C, Dong N, Xia X, Chen S. 2018. Molecular characterization of qnrVC genes and their novel alleles in Vibrio spp. isolated from food products in China. Antimicrob Agents Chemother 62:e00529-18. doi: 10.1128/AAC.00529-18 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Liu J, Zhao Z, Deng Y, Shi Y, Liu Y, Wu C, Luo P, Hu C. 2017. Complete genome sequence of Vibrio campbellii LMB 29 isolated from red drum with four native megaplasmids. Front Microbiol 8:2035. doi: 10.3389/fmicb.2017.02035 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Li Z, Lu X, Wang D, Liang WL, Zhang J, Li J, Xu J, Pang B, Kan B. 2019. Genomic comparison of serogroups O159 and O170 with other Vibrio cholerae serogroups. BMC Genomics 20:241. doi: 10.1186/s12864-019-5603-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Salzberg SL, Yorke JA. 2005. Beware of mis-assembled genomes. Bioinformatics 21:4320–4321. doi: 10.1093/bioinformatics/bti769 [DOI] [PubMed] [Google Scholar]
- 26. Collins A. 2018. The challenge of genome sequence assembly. TOBIOIJ 11:231–239. doi: 10.2174/1875036201811010231 [DOI] [Google Scholar]
- 27. Drummelsmith J, Amor PA, Whitfield C. 1997. Polymorphism, duplication, and IS1-mediated rearrangement in the chromosomal his-rfb-gnd region of Escherichia coli strains with group IA and capsular K antigens. J Bacteriol 179:3232–3238. doi: 10.1128/jb.179.10.3232-3238.1997 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Correa A III, Shehreen S, Machado LC, Thesier J, Cunic LM, Petassi MT, Chu J, Kapili BJ, Jia Y, England KA, Peters JE. 2024. Novel mechanisms of diversity generation in Acinetobacter baumannii resistance islands driven by Tn7-like elements. Nucleic Acids Res 52:3180–3198. doi: 10.1093/nar/gkae129 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Lan Y, Liu M, Song Y, Cao Y, Li F, Luo D, Qiao D. 2023. Distribution, characterization, and evolution of heavy metal resistance genes and Tn7-like associated heavy metal resistance Gene Island of Burkholderia. Front Microbiol 14:1252127. doi: 10.3389/fmicb.2023.1252127 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Aprile F, Heredia-Ponce Z, Cazorla FM, de Vicente A, Gutiérrez-Barranquero JA. 2021. A large Tn7-like transposon confers hyper-resistance to copper in Pseudomonas syringae pv. syringae. Appl Environ Microbiol 87:e02528-20. doi: 10.1128/AEM.02528-20 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Adade NE, Aniweh Y, Mosi L, Valvano MA, Duodu S, Ahator SD. 2022. Comparative analysis of Vibrio cholerae isolates from Ghana reveals variations in genome architecture and adaptation of outbreak and environmental strains. Front Microbiol 13:998182. doi: 10.3389/fmicb.2022.998182 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Hamidian M, Hall RM. 2021. Dissemination of novel Tn7 family transposons carrying genes for synthesis and uptake of fimsbactin siderophores among Acinetobacter baumannii isolates. Microb Genom 7:mgen000548. doi: 10.1099/mgen.0.000548 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Cheng H, Concepcion GT, Feng X, Zhang H, Li H. 2021. Haplotype-resolved de novo assembly using phased assembly graphs with hifiasm. Nat Methods 18:170–175. doi: 10.1038/s41592-020-01056-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Koren S, Walenz BP, Berlin K, Miller JR, Bergman NH, Phillippy AM. 2017. Canu: scalable and accurate long-read assembly via adaptive k-mer weighting and repeat separation. Genome Res 27:722–736. doi: 10.1101/gr.215087.116 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Walker BJ, Abeel T, Shea T, Priest M, Abouelliel A, Sakthikumar S, Cuomo CA, Zeng Q, Wortman J, Young SK, Earl AM. 2014. Pilon: an integrated tool for comprehensive microbial variant detection and genome assembly improvement. PLoS One 9:e112963. doi: 10.1371/journal.pone.0112963 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Chin CS, Alexander DH, Marks P, Klammer AA, Drake J, Heiner C, Clum A, Copeland A, Huddleston J, Eichler EE, Turner SW, Korlach J. 2013. Nonhybrid, finished microbial genome assemblies from long-read SMRT sequencing data. Nat Methods 10:563–569. doi: 10.1038/nmeth.2474 [DOI] [PubMed] [Google Scholar]
- 37. Chklovski A, Parks DH, Woodcroft BJ, Tyson GW. 2023. CheckM2: a rapid, scalable and accurate tool for assessing microbial genome quality using machine learning. Nat Methods 20:1203–1212. doi: 10.1038/s41592-023-01940-w [DOI] [PubMed] [Google Scholar]
- 38. Lagesen K, Hallin P, Rødland EA, Staerfeldt HH, Rognes T, Ussery DW. 2007. RNAmmer: consistent and rapid annotation of ribosomal RNA genes. Nucleic Acids Res 35:3100–3108. doi: 10.1093/nar/gkm160 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Lowe TM, Chan PP. 2016. tRNAscan-SE On-line: integrating search and context for analysis of transfer RNA genes. Nucleic Acids Res 44:W54–W57. doi: 10.1093/nar/gkw413 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Seemann T. 2014. Prokka: rapid prokaryotic genome annotation. Bioinformatics 30:2068–2069. doi: 10.1093/bioinformatics/btu153 [DOI] [PubMed] [Google Scholar]
- 41. Bateman A, Martin M-J, Orchard S, Magrane M, Ahmad S, Alpi E, Bowler-Barnett EH, Britto R, Bye-A-Jee H, Cukura A, et al. 2023. UniProt: the universal protein knowledgebase in 2023. Nucleic Acids Res 51:D523–D531. doi: 10.1093/nar/gkac1052 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Aramaki T, Blanc-Mathieu R, Endo H, Ohkubo K, Kanehisa M, Goto S, Ogata H. 2020. KofamKOALA: KEGG Ortholog assignment based on profile HMM and adaptive score threshold. Bioinformatics 36:2251–2252. doi: 10.1093/bioinformatics/btz859 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Huerta-Cepas J, Forslund K, Coelho LP, Szklarczyk D, Jensen LJ, von Mering C, Bork P. 2017. Fast genome-wide functional annotation through orthology assignment by eggNOG-mapper. Mol Biol Evol 34:2115–2122. doi: 10.1093/molbev/msx148 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Liu B, Zheng D, Zhou S, Chen L, Yang J. 2022. VFDB 2022: a general classification scheme for bacterial virulence factors. Nucleic Acids Res 50:D912–D917. doi: 10.1093/nar/gkab1107 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Alcock BP, Raphenya AR, Lau TTY, Tsang KK, Bouchard M, Edalatmand A, Huynh W, Nguyen A-LV, Cheng AA, Liu S, et al. 2020. CARD 2020: antibiotic resistome surveillance with the comprehensive antibiotic resistance database. Nucleic Acids Res 48:D517–D525. doi: 10.1093/nar/gkz935 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Katoh K, Standley DM. 2013. MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Mol Biol Evol 30:772–780. doi: 10.1093/molbev/mst010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Capella-Gutiérrez S, Silla-Martínez JM, Gabaldón T. 2009. trimAl: a tool for automated alignment trimming in large-scale phylogenetic analyses. Bioinformatics 25:1972–1973. doi: 10.1093/bioinformatics/btp348 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Nguyen L-T, Schmidt HA, von Haeseler A, Minh BQ. 2015. IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol Biol Evol 32:268–274. doi: 10.1093/molbev/msu300 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Letunic I, Bork P. 2024. Interactive Tree of Life (iTOL) v6: recent updates to the phylogenetic tree display and annotation tool. Nucleic Acids Res 52:W78–W82. doi: 10.1093/nar/gkae268 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Treangen TJ, Ondov BD, Koren S, Phillippy AM. 2014. The Harvest suite for rapid core-genome alignment and visualization of thousands of intraspecific microbial genomes. Genome Biol 15:524. doi: 10.1186/s13059-014-0524-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Croucher NJ, Page AJ, Connor TR, Delaney AJ, Keane JA, Bentley SD, Parkhill J, Harris SR. 2015. Rapid phylogenetic analysis of large samples of recombinant bacterial whole genome sequences using Gubbins. Nucleic Acids Res 43:e15. doi: 10.1093/nar/gku1196 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Page AJ, Taylor B, Delaney AJ, Soares J, Seemann T, Keane JA, Harris SR. 2016. SNP-sites: rapid efficient extraction of SNPs from multi-FASTA alignments. Microb Genom 2:e000056. doi: 10.1099/mgen.0.000056 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Stamatakis A. 2014. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies. Bioinformatics 30:1312–1313. doi: 10.1093/bioinformatics/btu033 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Li W, Godzik A. 2006. Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences. Bioinformatics 22:1658–1659. doi: 10.1093/bioinformatics/btl158 [DOI] [PubMed] [Google Scholar]
- 55. Sullivan MJ, Petty NK, Beatson SA. 2011. Easyfig: a genome comparison visualizer. Bioinformatics 27:1009–1010. doi: 10.1093/bioinformatics/btr039 [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
Comparative analysis of the Tn7-ike regions of seven representatives from 24 sequences.
The 16S rRNA gene of representative strains downloaded from the NCBI database.
Information concerning V. cidicii strains from the NCBI database.
The gene clusters and their key genes with predicted function in the O-AGCs genotype.
The details of Vibrio spp. containing Tn7-like sequences.
The sequences containing tnsA downloaded from the NCBI database.
Data Availability Statement
The genome sequences of V. cidicii VC01 are deposited in the NCBI database under BioProject accession number PRJNA1284038.








