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Population Structure of Clinical Vibrio parahaemolyticus from 17 Coastal Countries,Determined through Multilocus Sequence Analysis
Authors:Dongsheng Han  Hui Tang  Jun Lu  Guangzhou Wang  Lin Zhou  Lingfeng Min  Chongxu Han
Institution:1. Clinical Medical Examination Center, Northern Jiangsu People’s Hospital, Yangzhou, Jiangsu, China.; 2. Biobank Department, Northern Jiangsu People’s Hospital, Yangzhou, Jiangsu, China.; 3. Department of Respiratory Medicine, Northern Jiangsu People’s Hospital, Yangzhou, Jiangsu, China.; University of Ulster, United Kingdom,
Abstract:Vibrio parahaemolyticus is a leading cause of food-borne gastroenteritis worldwide. Although this bacterium has been the subject of much research, the population structure of clinical strains from worldwide collections remains largely undescribed, and the recorded outbreaks of V. parahaemolyticus gastroenteritis highlight the need for the subtyping of this species. We present a broad phylogenetic analysis of 490 clinical V. parahaemolyticus isolates from 17 coastal countries through multilocus sequence analysis (MLST). The 490 tested isolates fell into 161 sequence types (STs). The eBURST algorithm revealed that the 161 clinically relevant STs belonged to 8 clonal complexes, 11 doublets, and 94 singletons, showing a high level of genetic diversity. CC3 was found to be a global epidemic clone of V. parahaemolyticus, and ST-3 was the only ST with an international distribution. recA was observed to be evolving more rapidly, exhibiting the highest degree of nucleotide diversity (0.028) and the largest number of polymorphic nucleotide sites (177). We also found that the high variability of recA was an important cause of differences between the results of the eBURST and ME tree analyses, suggesting that recA has a much greater influence on the apparent evolutionary classification of V. parahaemolyticus based on the current MLST scheme. In conclusion, it is evident that a high degree of genetic diversity within the V. parahaemolyticus population and multiple sequence types are contributing to the burden of disease around the world. MLST, with a fully extractable database, is a powerful system for analysis of the clonal relationships of strains at a global scale. With the addition of more strains, the pubMLST database will provide more detailed and accurate information, which will be conducive to our future research on the population structure of V. parahaemolyticus.
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