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Article

Distribution and Molecular Characteristics of Vibrio Species Isolated from Aquatic Environments in China, 2020

1
National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), State Key Laboratory of Infectious Disease Prevention and Control, Beijing 102206, China
2
Center for Human Pathogenic Culture Collection, China CDC, Beijing 102206, China
3
National Pathogen Resource Center, China CDC, Beijing 102206, China
*
Authors to whom correspondence should be addressed.
Microorganisms 2022, 10(10), 2007; https://doi.org/10.3390/microorganisms10102007
Submission received: 13 September 2022 / Revised: 2 October 2022 / Accepted: 7 October 2022 / Published: 11 October 2022
(This article belongs to the Section Environmental Microbiology)

Abstract

:
To understand the characteristics of Vibrio isolates in aquatic environments in China and their public health significance, this study investigated water samples in six cities in China in 2020. A total of 88 sampling locations were included and Vibrio isolates were identified in 81 of them. A total of 143 Vibrio isolates belonging to 16 species were selected for characterization. The population structure of Vibrio species showed great differences among the six cities, indicating regional specificity. The presence of virulence genes was examined for the isolates (n = 78) of five pathogenic Vibrio species. All isolates except one (n = 77) contained at least one virulence gene and isolates belonging to the same species showed very similar virulence gene profiles. Then, 26 isolates from 12 species were examined by multilocus sequence typing and were assigned to 25 STs, of which 24 STs were new. Also, the presence of antibiotic-resistant genes was investigated for all 143 isolates and only three isolates were found to contain genes from aminoglycosides, phenicols, beta-lactams or the tetracycline family. Our results provide valuable insights into the Vibrio community in Chinese aquatic environments and can be applied as guidance for the environmental surveillance of the risk of Vibrio isolates.

1. Introduction

Vibrio spp. are Gram-negative, halophilic, usually motile rod bacteria belonging to the Gammaproteobacteria [1]. According to the List of Prokaryotic names with Standing in Nomenclature [2] (LPSN, http://www.bacterio.net, accessed on 28 July 2022), there are 137 validly published Vibrio species with correct names, although the recent description of new species may constantly change the taxonomy. Vibrio spp. are highly abundant in aquatic habitats, including estuaries, marine coastal water and sediments, and aquaculture settings worldwide. They also appear frequently in and/or on marine organisms, such as corals, fish, and shrimp [1]. Due to the wide distribution and diverse reservoirs, the genus of Vibrio comprises of opportunistic pathogenic microbes potentially infecting both humans and animals, posing threats to public health.
Among the pathogenic Vibrio species, the most well-known is V. cholerae. While V. cholerae with serogroup O1/O139 cause cholera at epidemic and pandemic levels, non-O1/non-O139 V. cholerae usually cause sporadic cases of diarrhea referred to as cholerae-like illness and extraintestinal tract infection [3]. Non-O1/non-O139 V. cholerae from marine and estuarine environments can cause human infection by direct transmission [4]. V. parahaemolyticus is also a well-recognized human pathogen and can cause gastroenteritis [5]. While V. cholerae and V. parahaemolyticus can cause severe infections in human and marine organisms, other species such as V. mimicus, V. harveyi and V. fluvialis are also reported to cause illness. V. mimicus was formerly recognized as a biotype of V. cholerae but was later reclassified as an independent species due to some differences in biochemical characteristics [6]. V. mimicus can cause gastroenteritis with symptoms similar to those of V. cholerae, such as stomachache, diarrhea and nausea [7]. V. harveyi can cause vibriosis, one of the most prevalent bacterial diseases in marine fish and shellfish, leading to economic losses in the aquaculture industry [8]. V. fluvialis is an emerging foodborne pathogen and can cause acute diarrhea, gastroenteritis and extraintestinal infection such as hemorrhagic cellulites and cerebritis [9]. Other Vibrio species, including V. alginolyticus [10], V. metschnikovii [11], V. azureus [12], V. owensii [13], are also considered to be pathogenic to marine organisms and/or humans. However, some Vibrio species are known as non-pathogenic, such as V. natriegens [14].
The pathogenicity of Vibrio strains is attributed to a broad range of virulence factors encoded by corresponding virulence genes. Virulence factors enable a microorganism to colonize a host niche in which the microorganism proliferates and causes tissue damage or systematic inflammation [15]. Virulence factors not only include secreted proteins and cell-surface structures, which directly invade host cells and contribute to the infection process, but also include gene products such as catalase and regulators, which indirectly involve in pathogenesis. Generally, bacterial virulence factors can be divided into several groups based on the mechanism of virulence and function [16]. For Vibrio, there are five major virulence factors, including capsular polysaccharides, adhesive factors, cytotoxins, lipopolysaccharides and flagella [17]. Due to the highly plastic genomes possessed by Vibrio, the probability of horizontal transfer of virulence genes is high, which contributes to the evolution, antibiotic resistance and pathogenicity of Vibrio community [18]. In recent years, the emergence of multidrug-resistant bacterial strains has become an international health crisis, which poses a significant threat to human well-being.
The diversity of Vibrio strains in aquatic environments leads to an increased interest in analyzing their abundance [19]. 16S rDNA sequencing has been used as an important tool in the accurate identification of bacterial isolates and the discovery of novel bacteria [20]. In addition, multilocus sequence typing (MLST), or multilocus sequence analysis (MLSA), is an efficient tool to achieve genetic characterization and study the molecular evolution of bacterial pathogens [21,22]. In MLST and MLSA, several molecular markers, in single or in concatenated sequences, have been used. Previous studies have used MLST or MLSA to study the phylogenetic relationships of Vibrio at the species or genus level [23,24,25]. In order to identify and characterize a population of Vibrionaceae isolated from the shellfish of Venice Lagoon (Italy) and to understand the natural diversity of Vibrio spp. in that territory, a MLSA scheme was developed based on four housekeeping genes (recA, pyrH, atpA and gyrB) and was demonstrated to be very simple and useful for discriminating Vibrio species (www.pubmlst.org/vibrio, accessed on 28 July 2022) [26].
To under the characteristics of aquatic Vibrio species in China and their public health significance, in this study, we investigated 143 Vibrio strains from aquatic environments in different cities. The population structure and species diversity of these Vibrio strains were analyzed. Also, the virulence gene pattern and the antibiotic resistance profile were examined. Our results provided insights into the characteristics of aquatic Vibrio strains in China and the surveillance of pathogenic Vibrio isolates.

2. Materials and Methods

2.1. Collection of Samples

Water was sampled from six cities (Beijing (B), Fuzhou (M), Qingdao (Q), Qinhuangdao (H), Weihai (W) and Yantai (Y)) in China and a total of 88 sampling locations were included. Apart from Fuzhou, which is located in the south of China, the others are northern Chinese cities. Beijing is a representative of northern inland city while Fuzhou, Qingdao, Qinhuangdao, Weihai and Yantai are representatives of coastal cities. Fuzhou is closed to the East Sea while Qingdao, Qinhuangdao, Weihai and Yantai are closed to the Bohai Sea or Yellow Sea. In Beijing, 12 water samples were collected from 4 rivers (Yongding River, Wenyu River, Sha River and Qing River), which cover the northern city waterway. In Fuzhou, 25 water samples were collected from Min River, which is the largest river in Fujian province. In Qingdao, Qinhuangdao, Weihai and Yantai, 51 samples (Qingdao: 12 samples; Qinhuangdao, 9 samples; Weihai: 18 samples; Yantai: 12 samples) were collected from aquatic places in the populous areas of each city. The water samples mentioned above were collected over a period of two months (September 2020–October 2020). September and October were selected because of warm weather and stable temperatures, which contribute to Vibrio abundance.

2.2. Isolation and Identification of Presumptive Vibrio Species

Each water sample was enriched in alkaline peptone water and then incubated at 37 °C for 18–24 h. A loopful from the alkaline peptone water was inoculated onto ten thiosulphate citrate bile salts sucrose (TCBS) agar plates and incubated for another 24 h at 37 °C. Four to six suspected colonies of Vibrio were randomly chosen from each plate and consequently purified on fresh LB agar plates. Then, the purified colonies were detected by mass spectrometry analysis using MALDI-TOF MS EXS3000 (Zybio Inc., Chongqing, China) to select presumptive Vibrio isolates.

2.3. Genomic DNA Extraction and Vibrio Isolates Confirmation

The purified presumptive Vibrio colonies were inoculated in LB medium and incubated at 37 °C for 18–24 h. The overnight bacterial suspension was used to extract genomic DNA by Wizard Genomic DNA Extraction Kit (Promega, Madison, WI, USA) following the manufacturer’s instructions. The genomic DNA was quantified by NanoDrop 2000 spectrophotometry (Thermo Fisher Scientific, Waltham, MA, USA) and then used as the template of polymerase chain amplification (PCR) assay, with the universal primers (27F/1492R) of 16S rRNA gene [27]. The PCR products were then sequenced using the same primers. Subsequently, the sequences were searched by the Basic Local Alignment Search Tool (BLAST) [28] of The National Center of Biotechnology Information (NCBI) database for Vibrio species identification. To further confirm the Vibrio isolates and to classify these isolates into species, a phylogenetic tree was constructed with the 16S rRNA gene sequences of the isolates and valid type strains from The List of Prokaryotic names with Standing in Nomenclature (LPSN) [2] by MEGA 7.0 [29], using the neighboring–joining method. The selected model was Kimura’s two-parameter with partial-deletion (95%) option. The robustness of tree topologies was evaluated with 1000 bootstrap replications. Then, the confirmed Vibrio isolates were chosen for further experiments based on the principle that for one species, only one strain from one isolation place was selected.

2.4. Detection of Virulence Genes

Virulence genes in the isolates (n = 78) of five common pathogenic species (V. cholerae, V. mimicus, V. parahaemolyticus, V. harveyi and V. fluvialis) were identified through a polymerase chain reaction (PCR) assay. The targeted virulence genes in V. cholerae include ctxAB, tcpA (1), tcpA (2) (two pairs of tcpA primers were used to amplify divergent tcpA alleles in the 7th pandemic Vibrio pathogenicity island (VPI)), mshA, hlyA, rtxC, rtxA, IS1004, chxA, SXT, T3SS (vcsV2) and nag-st. The targeted virulence genes in V. mimicus include vmh, tdh, hlx and st. The targeted virulence genes in V. parahaemolyticus include tl, tdh and trh. The targeted virulence genes in V. harveyi include luxR, toxRVh, chiA, serine protease and vhh. The targeted virulence genes in V. fluvialis include vfh, hupO and vfpA. Primers, their annealing temperatures, and amplicon sizes are listed in Table 1. The PCR products were assessed with 1.0% agarose gel electrophoresis.

2.5. Multiple Locus Sequence Typing (MLST)

MLST was performed to determine the phylogenetic relationships and genetic heterogeneity among these Vibrio isolates. PCR assays targeting the four housekeeping genes (gyrB, pyrH, recA and atpA) of Vibrio genus were performed for 26 isolates, which belong to 12 different species. Primers, their annealing temperatures, and amplicon sizes are listed in Table 1. The PCR fragments were sequenced and analyzed by comparison with sequences obtained from PubMLST database (https://pubmlst.org/organisms/vibrio-spp, accessed on 28 July 2022) [26,50]. PHYLOViZ version 2.0, using the goeBURST algorithm [51], was used to calculate and visualize clonal complexes (CCs) between STs of isolates in this study and STs from PubMLST database.

2.6. Detection of Antibiotic-Resistant Genes

PCR assays were performed in all isolates (n = 143) to identify various antibiotic-resistant genes. The selected targeting genes include aminoglycosides resistance genes (strA, strB, addA, aac(3)-IIa (aacC2), aph(3’)-Ia (aphA1), aph(3’)-IIa (aphA2)), chloramphenicol resistance genes (cmlA1, catI, catII, floR), beta-lactamase gene (blaTEM), sulfonamide resistance gene (sulI), trimethoprim resistance gene (dfrA1), quinolone resistance gene (qnrA), tetracycline resistance gene (tetA). Primers, their annealing temperatures, and amplicon sizes are listed in Table 1. The PCR products were assessed with 1.0% agarose gel electrophoresis.

3. Results

3.1. Population Structure and Regional Distribution of Vibrio Isolates

Among the 88 sampling locations, Vibrio have been identified in 81 (92%) of them (Beijing: 9/12; Fuzhou: 22/25; Qingdao: 12/12; Qinhuangdao: 9/9; Weihai: 17/18; Yantai: 12/12). A total of 2548 bacterial strains were isolated, in which Vibrio strains accounted for 36% (917). The rates of Vibrio strains in Beijing, Fuzhou, Qingdao, Qinhuangdao, Weihai and Yantai were 22% (283/1261), 33% (130/399), 46% (122/267), 61% (103/169), 61% (158/260) and 63% (121/192), respectively. Based on the principle that only one strain from one sampling location was selected for one Vibrio species, a total of 143 Vibrio strains, which belong to 16 species according to 16S rRNA sequence, were selected. Specifically, 23 V. cholerae, 16 V. mimicus, 15 V. azureus, 14 V. parahaemolyticus, 13 V. harveyi, 12 V. fluvialis, 10 V. natriegens, 7 V. owensii, 6 V. maritimus, 6 V. sinaloensis, 5 V. metoecus, 4 V. alginolyticus, 2 V. metschnikovii, 1 V. campbellii, 1 V. caribbeanicus and 1 V. diabolicus were identified, accounting for 16.08%, 11.19%, 10.49%, 9.79%, 9.09%, 8.39%, 6.99%, 4.90%, 4.20%, 4.20%, 3.50%, 2.80%, 1.40%, 0.70%, 0.70% and 0.70% of the total strains, respectively (Figure 1A,B). Notably, seven strains failed to be identified at the species level by 16S rRNA sequences and were classified as unknown (4.90%).
The composition of Vibrio species showed diversity among different cities (Figure 1C). Some species showed specificity towards regions. Strains of V. cholerae were isolated exclusively in Beijing, while those of V. mimicus and V. fluvialis were isolated exclusively in Fuzhou. Strains of V. metschnikovii and V. caribbeanicus were identified only in Qingdao, while those of V. campbellii and V. diabolicus were identified only in Qinhuangdao. For the isolates from Weihai, nine different species were found. By contrast, for the isolates from Beijing, only two different species were identified.

3.2. Distribution of Virulence Genes in Vibrio Isolates

The virulence genes for five pathogenic species (V. cholerae, V. mimicus, V. parahaemolyticus, V. harveyi and V. fluvialis) were identified in corresponding isolates (n = 78). All isolates except one (n = 77) contained at least one virulence gene. Isolates belonging to the same species showed very similar virulence gene profiles. For the isolates of V. cholerae (Figure 2A), all harbored mshA gene, but ctxAB, tcpA (1), tcpA (2), IS1004, SXT and nag-st genes were not identified. Nearly one third of the V. cholerae isolates (7/23) harbored hlyA, rtxC, rtxA and chxA genes, accounting for 30.4% of the total isolates. Only one strain (4.3%) harbored T3SS (vcsV2) gene. For the isolates of V. mimicus (Figure 2B), all harbored vmh and st genes, but tdh and hlx genes were not identified. For the isolates of V. parahaemolyticus (Figure 2C), all harbored tl gene, but tdh and trh genes were not identified. For the isolates of V. harveyi (Figure 2D), all harbored luxR, chiA and vhh genes, but toxRVh gene was not identified. Also, all V. harveyi isolates except one (12/13, 92.3%) harbored the gene encoding serine protease. For the isolates of V. fluvialis (Figure 2E), all except one (11/12, 91.7%) harbored vfh, hupO and vfpA genes.

3.3. MLST Analysis of Vibrio Isolates

A total of 26 isolates, belonging to 12 species, were typed by MLST and were assigned to 25 STs (ST24 and ST472–ST495), of which 24 STs were new (ST472–ST495) (Table 2). For the alleles, 22 alleles of gyrB gene (223–244) were new, followed by 20 of recA gene (216–235), 16 of pyrH gene (158–173), and 13 of atpA gene (159–171). The ST24, which was not new in this study, was also found in live marine animals in Italy based on data from the PubMLST database [26,51] (https://pubmlst.org/organisms/vibrio-spp, last accessed 7 June 2022). The ST484, which was identified for the first time in this study, consists of previously identified alleles. Apart from ST484, other new STs consist of new alleles.
We further analyzed the 25 STs using goeBURST algorithm [52] within PHYLOViz [51] to identify clonal complexes (CCs). The formation of CCs is based on the definition that all STs in the same clonal complex should share at least three MLST loci with at least one member from the identical clonal complex. A total of 351 isolates from different countries [26,50], including the 26 isolates in this study, were included. A total of 223 STs were found among these isolates. A full minimum spanning tree (MST) was generated (Figure 3A). 152 CCs were identified, in which 132 CCs were singleton. For the 25 STs assigned by 26 isolates in this study, 24 STs (ST472–ST495) were singletons, while ST24 belonged to CC0, which was the biggest CC and contains 40 STs (Figure 3B).

3.4. Detection of Antibiotic-Resistant Genes in Vibrio Isolates

Resistant genes encoding aminoglycosides, chloramphenicol, beta-lactamase, sulfonamide, trimethoprim, quinolone, and tetracycline, were examined in this study. Aminoglycosides resistance genes strA, strB, aadA, aph(3’)-Ia (aphA1), chloramphenicol resistance genes cmlA1, floR and tetracycline resistance gene tetA were identified in B19. The above genes, except aadA, aph(3’)-Ia (aphA1) and cmlA1, were also identified in B21. Beta-lactamase gene blaTEM was identified in W32. In other isolates, no antibiotic-resistant gene included in this study was identified.

4. Discussion

Vibrio spp. usually inhabit in estuarine and marine ecosystems and can cause severe infections in humans and animals. Although the presence of pathogenic Vibrio isolates in aquatic environments is gaining attention, the population structure of aquatic Vibrio isolates in Chinese cities is largely unknown. Here, we studied 143 Vibrio isolates collected from different aquatic environments in six cities in China, aiming to understand the distribution and characteristics of these Vibrio strains.
Among the six cities, a total of 88 sampling locations were included and Vibrio isolates were detected in 81 of them (92%). The isolation rates of Vibrio in each city were not compared because the numbers of sampling location in each city were small. In a previous study characterized the population structure of non-O1/non-O139 Vibrio cholerae in fresh rivers in Zhejiang, China, the average isolation rate was 43.9% [53], which is different from our study and can be explained by the differences of geographic factors and focused species. Among the 143 Vibrio isolates, 16 different species were identified, demonstrating abundant and diverse Vibrio populations in Chinses aquatic environments. The diversity of Vibrio community in northern Chinese marginal seas has been confirmed [54], which is consistent with the abundance of Vibrio isolates in the northern coastal cities included in our study. In these cities, the average isolate rate of Vibrio was 99%. Also, a study about Vibrio populations from rustic freshwaters recovered substantial isolates from nine sampling sites [55], suggesting inland freshwater environments are also ideal habitats for Vibrio species.
Vibrio isolates were detected through molecular analysis of 16S rRNA gene and were classified into species through a phylogenetic tree. Previous studies have employed similar methods to confirm Vibrio spp. strains [17]. Although several Vibrio species have nearly identical 16S rRNA sequences, the nearly complete 16S rRNA sequences are likely to give accurate measures of taxonomic diversity [56]. Our subsequent analysis of virulence gene confirmed the correct species classification of most Vibrio isolates. We identified 16 known species among all Vibrio isolates, indicating the diversity of Vibrio community in aquatic environments in China. Vibrio populations in coastal cities were more abundant than those in inland cities, suggesting salinity is a pivotal environmental determinant of the pattern in Vibrio community [57]. The abundant and diverse Vibrio populations have been demonstrated in northern Chinese marginal seas [54], where V. campbellii and V. caribbeanicus were shown to be the most prominent in summer, while V. atlanticus was the most isolated in winter. A study focused on the spatiotemporal dynamics of Vibrio communities and abundance in Dongshan Bay, an important aquaculture base in southern China, have identified 28 species among 167 Vibrio strains in 10 seawater sites spanning four seasons [58]. In this study, the Vibrio isolates were collected from different aquatic environments in populous cities, which may explain the differences observed in Vibrio species distribution. Multiple environmental factors, including temperature, salinity, pH, dissolved oxygen and nutrients contribute to the composition of Vibrio population [57]. Among them, temperature and salinity are considered to be the most important while other variables often have a marginal effect. Previous studies have demonstrated Vibrio populations in marine aquaculture are more abundant in summer than in winter [54,58], which suggests temperature is a key factor that influences Vibrio abundance. However, in summer (July and August), the temperature of surface water in aquatic environments is high so Vibrio abundance across sites may exhibit few variations [54]. In this study, aquatic samples were collected in September and October (the end of summer and the beginning of autumn), when the temperature is more stable, and the weather is still warm. Our results indeed showed great variations across different sites. Among the four coastal cities, the dominant Vibrio species were different. Further studies are needed to explore the environmental factors which influence the population structures of Vibrio in these cities.
The identification of virulence genes in Vibrio strains is important to evaluate their pathogenicity. The virulence genes in five common pathogenic Vibrio species were examined in this study: (1) for V. cholerae, the major virulence factors are toxin-coregulated pili (TCP) and cholera toxin (CTX), which are present in all pandemic strains. All isolates (n = 23) of V. cholerae in this study were negative for ctxAB, tcpA(1) and tcpA(2), indicating they should be non-O1/non-O139 strains. The genes IS1004 encoding an active mobile genetic element [59], SXT encoding an integrative conjugative element carrying multiple drug resistance gene [60] and nag-st encoding heat-stable toxin [61], were also absent in these isolates. Other virulence genes including genes encoding the cytotoxic actin cross-linking repeats in toxin (rtxA, rtxC), cholera toxin transcriptional activator (toxR), hemagglutinin/protease (hapA), hemolysin (hlyA), mannose-sensitive hemagglutinin (mshA), a type 3 secretion system (T3SS), are also common in V. cholerae strains [53]. The T3SS has been shown to play a critical role in colonization and causing diarrhea in strains without TCP and CTX [62]. In this study, the mshA gene was identified in all isolates, while the hlyA, rtxA, rtxC, chxA and T3SS (vcsV2) genes were positive for some isolates, with the ratios of 30.4%, 30.4%, 30.4%, 30.4%, 30.4% and 4.3%, respectively. The V. cholerae isolates (n = 23) were only identified in Beijing, which may explain the homogeneity of virulence gene profiles. The proportions of these virulence genes were consistent with a previous study [61] about the non-O1/non-O139 V. cholerae aquatic isolates from China, in which the mshA gene was the most common while the T3SS gene was the least. (2) For V. mimicus, the major virulence factors are three types of hemolysins, encoded by vmh, tdh, hlx genes, respectively [38]. V. mimicus is also considered as the reservoir of the heat-stable toxin (ST) gene among the species of the genus Vibrio [39]. The st gene encoding ST of V. mimicus is identical to that of V. cholerae non-O1/non-O139. All isolates (n = 16) of V. mimicus in this study were isolated from the Min River in Fujian and were positive for vmh and st genes but negative for tdh and hlx genes. The tdh and hlx genes were demonstrated to only exist in clinical isolates [38,63], which could explain its absence in our aquatic isolates. The vmh gene, which can be identified in both clinical and environmental isolates, is thought to be a common gene of V. mimicus and a useful marker of identification of the species [38,63]. Compared to the nag-st gene in V. cholerae, the st gene detected in V. mimicus was more frequently [63]. (3) For V. parahaemolyticus, the major virulence factors are the thermolabile hemolysin encoded by tl, thermostable direct hemolysin encoded by tdh, and thermostable direct related hemolysin encoded by trh [40]. Our results suggested that all V. parahaemolyticus isolates (n = 14) contained tl gene. A study including 111 V. parahaemolyticus isolates from different origins found that all isolates possessed tl gene [40], indicating tl gene may be species-specific, as vmh gene for V. mimicus. The absence of tdh or trh gene in the aquatic isolates of V. parahaemolyticus in this study suggested they have no pathogenicity towards human because either tdh or trh gene is needed for clinical significance [64]. (4) For V. harveyi, many virulence factors such as caseinase, gelatinase, phospholipase, lipase, haemolysin, cysteine protease, metalloprotease, serine protease and chitinase, have been identified [41]. The chiA gene encoding chitinase, and vhh gene encoding hemolysin, were identified in all V. harveyi isolates (n = 13) in this study. The gene encoding serine protease was present in all isolates except one (n = 12). The high prevalence of chiA, vhh, and serine protease genes were consistent with previous studies [17,41]. luxR is the main regulatory gene of the signal transduction cascade of the V. harveyi quorum-sensing system [65] and was present in all V. harveyi isolates in our study, indicating the conserved quorum-sensing system of this species. ToxR, the gene product of toxR, is a transmembrane transcription regulator, which controls the coordinate expression of virulence genes in vibrios [66]. In this study, toxRVh was absent in all V. harveyi isolates, which was different from previous studies, in which the high prevalence of toxRVh gene was identified [17,41]. Interestingly, despite the similar virulence gene profiles, the V. harveyi isolates were collected from different regions and various aquatic environments. (5) For V. fluvialis, major virulence factors include hemolysin, protease, lipase and cytotoxin. The genes vfh encoding hemolysin, hupO encoding heme utilization protein and vfpA encoding protease, were identified in all isolates except one (n = 11). The high prevalence of these virulence gene was consistent with a previous study in which vfh, hupO and vfpA were detected in all V. fluvialis strains from patients and environment in China [9]. A recent study about the Vibrio isolates from rustic environmental freshwaters in South Africa found that the proportions of hupO, vfpA and vfh genes in V. fluvialis isolates were 14.6%, 0 and 19.5%, respectively [55]. Therefore, the virulence gene profiles in V. fluvialis isolates are likely to be influenced by geographic sites, weather pattern, habitat characteristics and other environmental factors.
Multilocus sequence typing (MLST) is an efficient tool to achieve the genetic characterization of bacterial pathogens [21] and has been applied to study the molecular evolution of members in Vibrionaceae [25]. In this study, the population structure and genetic diversity of 26 isolates was identified by MLST based on a scheme for Vibrio species [26]. Among the 26 isolates, only two isolates belonging to V. cholerae shared the same ST (ST473), and the remaining 24 isolates were divided into 24 different STs (ST24, ST472, ST474–495). The isolate Vi_36 of ST24 in PubMLST database, which belongs to V. alginolyticus/diabolicus, was sourced from live marine animals in Italy in 2007. The isolate H10 of ST24 in our study belongs to V. diabolicus based on the 16S rRNA sequence and was isolated from seawater in Qinhuangdao, Hebei Province in China. The differences indicates that this sequence type is not regional- or host-specific. The ST472–495 were identified for the first time, while the ST24 has been reported before. The new STs were due to the combination of new alleles or the new combination of previously reported alleles. The two V. cholerae isolates (B3 and B22) sharing the same ST (ST473) were collected from different freshwater rivers in Beijing, although the profiles of virulence genes were identical. However, the isolates (M1 and M6) of V. mimicus were collected from the same place and shared identical virulence gene profiles but showed very different allele combinations and thus STs. The isolates of other species, such as V. parahaemolyticus, despite the identical virulence gene profiles, were collected from different regions, and also showed different STs. Therefore, the diversity of STs identified in this study should be a complex interaction of many environmental factors and the rapid evolution of Vibrio isolates in aquatic habitats. Vibrio strains isolated from environment have been demonstrated to show a high degree of genetic diversity in previous studies [25,53].
Among the 143 isolates, only three isolates were shown to contain antibiotic-resistant genes analyzed in this study. The antibiotic-resistant genes were selected based on previous studies about Vibrio investigation [55,67]. Many different classes of antibiotics were included in order to identify multidrug resistant isolates. According to a study about the antibiotic resistance of Vibrio parahaemolyticus and Vibrio vulnificus in various countries, environmental and clinical Vibrio isolates were shown to share similar antibiotic resistance profiles [68]. Therefore, apart from antibiotics genes commonly seen in environmental Vibrio isolates, tetA gene encoding for tetracycline, which is commonly used to treat clinical Vibrio infection, was included. In this study, for most V. cholerae strains, the absence of antibiotic-resistant genes may because of the absence of the SXT element, which contributes to the trend of drug resistance [69]. Several aminoglycosides resistance genes strA, strB, aadA, aph(3’)-Ia (aphA1), two chloramphenicol resistance genes cmlA1, floR and one tetracycline resistance gene tetA were identified in strain B19, indicating that environmental isolates could be reservoirs of resistance genes [70]. The proportion of antibiotic-resistant gene containing isolates (2.1%, 3/143) in our study was lower than in previous studies focused on environmental Vibrio isolates. Resistance to cefazolin, ampicillin and imipenem was identified in 68.70%, 47.83% and 27.83% non-O1/non-O139 V. cholerae isolates from freshwater rivers in Zhejiang, China [53]. In addition, among all these isolates, 36.52% were defined as multidrug resistant [53]. Resistant genes encoding for aminoglycoside, phenicols, beta-lactams, carbapenems and fluoroquinolones were identified in most Vibrio isolates from rustic environmental freshwaters [55]. The prevalence of antibiotic-resistant genes is likely achieved through horizontal transfer from other bacteria strains in the aquatic environment [71]. Genetic interactions leading to the acquisition of plasmids, transposable elements, super-integron and integrating conjugative elements (ICEs) gene can confer antibiotic resistance to Vibrio species [72].
In conclusion, our study provides a comprehensive investigation of the Vibrio isolates from different aquatic environments in China in 2020, in terms of species composition, virulence gene distribution, sequence type, and antibiotic resistance. The findings suggest that aquatic Vibrio isolates are potential sources of human infection and show a high degree of genetic diversity, indicating that routine surveillance of aquatic Vibrio community will be of significance to public health.

Author Contributions

Conceptualization, Y.X. and Z.H.; methodology, Y.X. and D.W.; formal analysis, Y.X.; investigation, Y.X.; writing—original draft preparation, Y.X.; writing—review and editing, Z.H., K.Y., H.G. and X.B.; funding acquisition, M.J. and D.W.; resources, Z.H., K.Y. and M.W.; supervision, D.W. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the National Science and Technology Infrastructure of China (National Pathogen Resource Center-NPRC-32) and the National Science and Technology Fundamental Resources Investigation Program of China (2021FY100904).

Data Availability Statement

The datasets generated and analyzed during the current study are available from the corresponding author on reasonable request.

Acknowledgments

We thank the researchers who facilitated the completion of this study.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. The Vibrio species composition and regional distribution: (A) the phylogenetic tree reconstructed by neighbor-joining method based on genes of 16S rRNA. Vibrio type strains were involved and accession numbers of 16S rRNA sequences were shown in the adjacent parentheses. Strain number of tested strains for each compact cluster (black triangle) was shown in the final parentheses. Unclassified tested strains were indicated by black circles. Bootstrap values were calculated from 1000 replications and values >70% were shown at branch points. Bar and value estimated nucleotide substitutions per site. The type strain of Salinivibrio costicola subsp. costicola ATCC 33508 was served as an outgroup; and (B) species composition (%) of Vibrio isolates. (C) Regional distribution of Vibrio isolates.
Figure 1. The Vibrio species composition and regional distribution: (A) the phylogenetic tree reconstructed by neighbor-joining method based on genes of 16S rRNA. Vibrio type strains were involved and accession numbers of 16S rRNA sequences were shown in the adjacent parentheses. Strain number of tested strains for each compact cluster (black triangle) was shown in the final parentheses. Unclassified tested strains were indicated by black circles. Bootstrap values were calculated from 1000 replications and values >70% were shown at branch points. Bar and value estimated nucleotide substitutions per site. The type strain of Salinivibrio costicola subsp. costicola ATCC 33508 was served as an outgroup; and (B) species composition (%) of Vibrio isolates. (C) Regional distribution of Vibrio isolates.
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Figure 2. Distribution of virulence genes among five common pathogenic species. The bars represent the proportions of virulence genes in each species (AE).
Figure 2. Distribution of virulence genes among five common pathogenic species. The bars represent the proportions of virulence genes in each species (AE).
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Figure 3. The goeBURST analysis based on the four loci used for MLST typing: (A) the full minimum spanning tree generated by 223 STs (including the 25 STs identified in this study) from pubMLST database for Vibrio spp. Isolates from different countries are represented by different colors. Node sizes are proportional to the number of isolates; (B) clonal complex 0 of 40 STs. STs are marked inside the circle. The ST24 identified in this study is marked by red circle.
Figure 3. The goeBURST analysis based on the four loci used for MLST typing: (A) the full minimum spanning tree generated by 223 STs (including the 25 STs identified in this study) from pubMLST database for Vibrio spp. Isolates from different countries are represented by different colors. Node sizes are proportional to the number of isolates; (B) clonal complex 0 of 40 STs. STs are marked inside the circle. The ST24 identified in this study is marked by red circle.
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Table 1. Primers for virulence genes, MLST, and antibiotic-resistant genes.
Table 1. Primers for virulence genes, MLST, and antibiotic-resistant genes.
GeneSequence (5′-3′)Ta aAmplicon Size (bp)References
ctxABF: CTCAGACGGGATTTGTTAGGCACG55302[30]
R: TCTATCTCTGTAGCCCCTATTACG
tcpA (1) bF: GTGACTGAAAGTCATCTCTTC551248[31]
R: AATCCGACACCTTGTTGGTA
tcpA (2) bF: ATATGCAATTATTAAAACAGC551052[31]
R: TTATTATTACCCGTTGTCGG
mshAF: CGCACAATGAGGTTCGCCAAG60512[32]
R: CCGAAAATTGACCGCCATTATC
hlyAcF: GGCAAACAGCGAAACAAATACC60481[33]
R: CTCAGCGGGCTAATACGGTTTA
rtxCF: CGACGAAGATCATTGACGAC55263[34]
R: CATCGTCGTTATGTGGTTGC
rtxAF: CTGAATATGAGTGGGTGACTTACG55417[34]
R: GTGTATTGTTCGATATCCGCTACG
IS1004F: ATTGTCATCCCTAAACCACC60603[35]
R: AGGCGGTTTTAATATAAGCC
chxAF: TGTGTGATGATGCTTCTGG522000[36]
R: TTATTTCAGTTCATCTTTTCGC
SXTF: TCGGGTATCGCCCAAGGGCA60946[37]
R: GCGAAGATCATGCATAGACC
T3SS (vcsV2)F: ATGCAGATCTTTTGGCTCACTTGATGGG55742[35]
R: ATGCGTCGACGCCACATCATTGCTTGCT
nag-stF: TATTATTTTCTTCAATCGCATTTAGC60206[32]
R: ATTTAAACATCCAAAGCAAGCTGG
vmhF: GGTAGCCATCAGTCTTATCACG55289[38]
R: ATCGTGTCCCAATACTTCACCG
tdh (V. mimicus)F: GGTACTAAATGGCTGACATC55251[38]
R: CCACTACCACTCTCATATGC
hlxF: CTGCCCATTAGAAACACCCT55382[38]
R: GTTGCTCATTCTCTGTCACC
stF: GAGAAACCTATTCATTGCA50216[39]
R: GCAAGCTGGATTGCAAC
tlF: AAAGCGGATTATGCAGAAGCACTG58450[40]
R: GCTACTTTCTAGCATTTTCTCTGC
tdh (V. parahaemolyticus)F: GTAAAGGTCTCTGACTTTTGGAC58269[40]
R: TGGAATAGAACCTTCATCTTCACC
trhF: TTGGCTTCGATATTTTCAGTATCT58500[40]
R: CATAACAAACATATGCCCATTTCCG
luxRF: ATGGACTCAATTGCAAAGAG50618[41]
R: TTAGTGATGTTCACGGTTGT
toxRVhF: CGACAACCAAAATACGGAA50131[41]
R: AGAGCAATTTGCTGAAGCTA
chiAF: GGAAGATGGCGTGATTGACT50232[41]
R: GGCATCAATTTCCCAAGAGA
serine proteaseF: TGCACGACCAGTTGCTTTAG50232[41]
R: AAGTGGTCGTCAGCAAATCC
vhhF: TTCACGCTTGATGGCTACTG50234[41]
R: GTCACCCAATGCTACGACCT
vfhF: GCGCGTCAGTGGTGGTGAAG61800[9]
R: TCGGTCGAACCGCTCTCGCTT
hupOF: ATTACGCACAACGAGTCGAAC56600[9]
R: ATTGAGATGGTAAACAGCGCC
vfpAF: TACAACGTCAAGTTAAAGGC551790[9]
R: GTAGGCGCTGTAGCCTTTCA
DNA gyrase, β subunit (gyrB)F: GAAGGTGGTATTCAAGCGTT55570[26]
R: CGGTCATGATGATGATGTTGT
Uridylate kinase (pyrH)F: CCCTAAACCAGCGTATCAACGTATTC55501[26]
R: CGGATWGGCATTTTGTGGTCACGWGC
Recombinase A (recA)F: TGCGCTAGGTCAAATTGAAA55462[26]
R: GTTTCWGGGTTACCRAACATYACACC
ATP synthase, α subunit (atpA)F: ATCGGTGACCGTCARACWGGTAAAAC60489[26]
R: ATACCTGGGTCAACCGCTGG
strAF: CTTGGTGATAACGGCAATTC 53548[42]
R: CCAATCGCAGATAGAAGGC
strBF: ATCGTCAAGGGATTGAAACC53509[42]
R: GGATCGTAGAACATATTGGC
aadAF: GTGGATGGCGGCCTGAAGCC68525[43]
R: AATGCCCAGTCGGCAGCG
aac(3)-IIa (aacC2)F: CGGAAGGCAATAACGGAG 50740[44]
R: TCGAACAGGTAGCACTGAG
aph(3’)-Ia (aphA1)F: ATGGGCTCGCGATAATGTC50600[44]
R: CTCACCGAGGCAGTTCCAT
aph(3’)-IIa (aphA2)F: GAACAAGATGGATTGCACGC 50680[44]
R: GCTCTTCAGCAATATCACGG
cmlA1F: CACCAATCATGACCAAG60115[45]
R: GGCATCACTCGGCATGGACATG
catIF: AGTTGCTCAATGTACCTATAACC50547[44]
R: TTGTAATTCATTAAGCATTCTGCC
catIIF: ACACTTTGCCCTTTATCGTC50543[44]
R: TGAAAGCCATCACATACTGC
floRF: CGCCGTCATTCCTCACCTTC50215[44]
R: GATCACGGGCCACGCTGTGTC
blaTEMF: TTTCGTGTCGCCCTTATTCC60690[46]
R: CCGGCTCCAGATTTATCAGC
sulIF: TTCGGCATTCTGAATCTCAC50822[44]
R: ATGATCTAACCCTCGGTCTC
dfrA1F: CGAAGAATGGAGTTATCGGG60.5372[47]
R: TGCTGGGGATTTCAGGAAAG
qnrAF: TTCAGCAAGAGGATTTCTCA55628[48]
R: GGCAGCACTATTACTCCCAA
tetAF: GCTACATCCTGCTTGCCTTC55210[49]
R: CATAGATCGCCGTGAAGAGG
a Annealing temperature; b Two pairs of tcpA primers were used. These two primer pairs have been used previously to amplify divergent tcpA alleles in the 7th pandemic Vibrio pathogenicity island (VPI) [31]; c The hlyA primers were used for V. cholerae O1 E1 Tor.
Table 2. The allelic profiles and STs of the analyzed isolates.
Table 2. The allelic profiles and STs of the analyzed isolates.
Strain No.gyrBpyrHrecAatpAST
H102220221624
B2224158216159472
B3223159217160473
B22223159217160473
B12225160218161474
M122616121990475
M622716222090476
M142295522160477
H3228365219478
W1523016344162479
Y32314022219480
M21232164223163481
H22332022416482
W611217225129483
Y17410810716484
H8234165226164485
W7235166227165486
Q3236167228166487
W31237168229166488
Q1238169230167489
W5240170231169490
B1239171232168491
W1241172233170492
H142421923417493
W202431913817494
Q12244173235171495
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Xiao, Y.; Huang, Z.; Yu, K.; Wang, M.; Gao, H.; Bai, X.; Jiang, M.; Wang, D. Distribution and Molecular Characteristics of Vibrio Species Isolated from Aquatic Environments in China, 2020. Microorganisms 2022, 10, 2007. https://doi.org/10.3390/microorganisms10102007

AMA Style

Xiao Y, Huang Z, Yu K, Wang M, Gao H, Bai X, Jiang M, Wang D. Distribution and Molecular Characteristics of Vibrio Species Isolated from Aquatic Environments in China, 2020. Microorganisms. 2022; 10(10):2007. https://doi.org/10.3390/microorganisms10102007

Chicago/Turabian Style

Xiao, Yue, Zhenzhou Huang, Keyi Yu, Maoshu Wang, He Gao, Xuemei Bai, Mengnan Jiang, and Duochun Wang. 2022. "Distribution and Molecular Characteristics of Vibrio Species Isolated from Aquatic Environments in China, 2020" Microorganisms 10, no. 10: 2007. https://doi.org/10.3390/microorganisms10102007

APA Style

Xiao, Y., Huang, Z., Yu, K., Wang, M., Gao, H., Bai, X., Jiang, M., & Wang, D. (2022). Distribution and Molecular Characteristics of Vibrio Species Isolated from Aquatic Environments in China, 2020. Microorganisms, 10(10), 2007. https://doi.org/10.3390/microorganisms10102007

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