Population structure of clinical Vibrio parahaemolyticus from 17 coastal countries, determined through multilocus sequence analysis.

Population structure of clinical Vibrio parahaemolyticus from 17 coastal countries, determined through multilocus sequence analysis.
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通过多位点序列分析确定 17 个沿海国家临床副溶血性弧菌的种群结构。

DOI:
10.1371/journal.pone.0107371
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发表时间:
2014
期刊:
影响因子:
3.7
通讯作者:
Han C
Han C
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Han D;Tang H;Lu J;Wang G;Zhou L;Min L;Han C

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副溶血性弧菌是全球食源性胃肠炎的主要原因。虽然这种细菌一直是许多研究的主题,但来自世界各地的临床菌株的种群结构仍然基本上没有描述,并且记录的副溶血性弧菌胃肠炎爆发突出了对该物种进行亚型分型的需要。我们通过多位点序列分析(MLST)对来自17个沿海国家的490株副溶血性弧菌临床分离株进行了广泛的系统发育分析。490个供试菌株分为161个序列型(ST)。eBURST算法显示,161个临床相关ST属于8个克隆复合体,11个双联体和94个单联体,显示出较高的遗传多样性。CC 3是副溶血性弧菌的全球流行克隆,ST-3是唯一具有国际分布的ST。观察到recA进化更快,表现出最高程度的核苷酸多样性(0.028)和最大数量的多态性核苷酸位点(177)。我们还发现recA的高变异性是eBURST和ME树分析结果之间差异的重要原因,这表明recA对基于当前MLST方案的副溶血性弧菌的表观进化分类具有更大的影响。总之,很明显,副溶血性弧菌种群内的高度遗传多样性和多种序列类型导致了世界各地的疾病负担。MLST具有完全可提取的数据库,是一个强大的系统,用于分析全球范围内菌株的克隆关系。随着更多菌株的加入,pubMLST数据库将提供更详细、更准确的信息,这将有利于我们未来对副溶血性弧菌种群结构的研究。
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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