赵宏群, 刁保卫, 杜小莉, 卢昕, 崔志刚, 阚飙, 逄波. 副溶血弧菌分子分型数据库建立与分析[J]. 疾病监测, 2016, 31(11): 920-924. DOI: 10.3784/j.issn.1003-9961.2016.11.008
引用本文: 赵宏群, 刁保卫, 杜小莉, 卢昕, 崔志刚, 阚飙, 逄波. 副溶血弧菌分子分型数据库建立与分析[J]. 疾病监测, 2016, 31(11): 920-924. DOI: 10.3784/j.issn.1003-9961.2016.11.008
ZHAO Hong-qun, DIAO Bao-wei, DU Xiao-li, LU Xin, CUI Zhi-gang, KAN Biao, PANG Bo. Establishment of molecular typing database for Vibrio parahaemolyticus[J]. Disease Surveillance, 2016, 31(11): 920-924. DOI: 10.3784/j.issn.1003-9961.2016.11.008
Citation: ZHAO Hong-qun, DIAO Bao-wei, DU Xiao-li, LU Xin, CUI Zhi-gang, KAN Biao, PANG Bo. Establishment of molecular typing database for Vibrio parahaemolyticus[J]. Disease Surveillance, 2016, 31(11): 920-924. DOI: 10.3784/j.issn.1003-9961.2016.11.008

副溶血弧菌分子分型数据库建立与分析

Establishment of molecular typing database for Vibrio parahaemolyticus

  • 摘要: 目的 对我国8个省(直辖市)分离的副溶血弧菌使用脉冲场凝胶电泳(PFGE)开展分子分型工作进行回顾性分析;建立副溶血弧菌PFGE分型数据库,分析其特征。方法 对2005-2014年期间分离自8个省(直辖市)的617株副溶血弧菌使用SfiⅠ酶切后进行PFGE实验,使用BioNumerics 5.01软件分析菌株的PFGE图谱并建立副溶血弧菌分子分型数据库。结果 本研究所建立的副溶血弧菌分子分型数据库共包含617条副溶血弧菌的分子分型信息。这些副溶血弧菌的PFGE图谱可以分为360个PFGE型别,按照PulseNet China的规则对这些PFGE型别进行编码。不同PFGE型别的相似系数介于35.8%~99.6%。237株外环境和食品分离菌株有221个PFGE型别,345株患者分离株有127个PFGE型别。相同血清型的副溶血弧菌具有相同或者非常相似的PFGE型别,而不同血清型之间的副溶血弧菌的PFGE型别差异则较大。大流行血清型(如O3:K6和O4:K8)具有多个优势PFGE型别,对于某些血清型,地理位置相近省份分离菌株的PFGE图谱相似性更高。结论 分离自患者菌株的PFGE图谱克隆化程度高,而分离自食品和外环境的菌株,PFGE图谱多态性较大。PFGE在发现病例成簇中能够发挥作用;对于患者相关PFGE图谱成簇的菌株应加强流行病学调查和溯源工作。

     

    Abstract: Objective To conduct pulse field gel electrophoresis (PFGE) for the Vibrio (V.) parahaemolyticus strains isolated in 8 provinces (municipality) in China and establish a PFGE molecular typing database of V. parahaemolyticus. Methods A total of 617 V. parahaemolyticus strains isolated between 2005 and 2014 were typed by SfiⅠ-digested PFGE. PFGE patterns were analyzed and the database was established with software BioNumerics 5.01. Results The established V. parahaemolyticus molecular typing database included 617 pieces of strain information. All the analyzed V. parahaemolyticus strains were divided into 360 PFGE patterns. The PFGE patterns were encoded according to the regulation of PulseNet China. The similarity index ranged from 35.8% to 99.6%. The 237 strains of V. parahaemolyticus isolated from environment or foods had 221 PFGE patterns, while the 345 strains of V. parahaemolyticus isolated from diarrhea patients had 127 PFGE patterns. V. parahaemolyticus strains with identical serotype had same or similar PFGE patterns, while those with different serotypes had quite different PFGE patterns. Multi predominant PFGE patterns were observed in pandemic serotypes of V. parahaemolyticus i.e. O3:K6 and O4:K8. Conclusion V. parahaemolyticus strains isolated from diarrhea patients showed less diversity than those isolated from foods and environment. PFGE analysis is useful in identifying cases clustering. For diarrhea related V. parahaemolyticus strains, which cluster, intensive epidemiological investigation and source tracking should be carried out.

     

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