李钰娴, 刘秀峰, 陈凡冰, 陈智伟, 叶海梅, 潘洁茹, 刘杰. 福建省福州市食源性疾病暴发事件副溶血弧菌基因组遗传特征分析[J]. 疾病监测, 2023, 38(5): 548-553. DOI: 10.3784/jbjc.202207120318
引用本文: 李钰娴, 刘秀峰, 陈凡冰, 陈智伟, 叶海梅, 潘洁茹, 刘杰. 福建省福州市食源性疾病暴发事件副溶血弧菌基因组遗传特征分析[J]. 疾病监测, 2023, 38(5): 548-553. DOI: 10.3784/jbjc.202207120318
Li Yuxian, Liu Xiufeng, Chen Fanbing, Chen Zhiwei, Ye Haimei, Pan Jieru, Liu Jie. Genomic characteristics analysis on Vibrio parahaemolyticus isolated from food-borne diseases outbreaks in Fuzhou, Fujian province[J]. Disease Surveillance, 2023, 38(5): 548-553. DOI: 10.3784/jbjc.202207120318
Citation: Li Yuxian, Liu Xiufeng, Chen Fanbing, Chen Zhiwei, Ye Haimei, Pan Jieru, Liu Jie. Genomic characteristics analysis on Vibrio parahaemolyticus isolated from food-borne diseases outbreaks in Fuzhou, Fujian province[J]. Disease Surveillance, 2023, 38(5): 548-553. DOI: 10.3784/jbjc.202207120318

福建省福州市食源性疾病暴发事件副溶血弧菌基因组遗传特征分析

Genomic characteristics analysis on Vibrio parahaemolyticus isolated from food-borne diseases outbreaks in Fuzhou, Fujian province

  • 摘要:
      目的   获得福建省福州市四起暴发事件分离的副溶血弧菌序列分布特点,并分析不同菌株间遗传关系。
      方法  对19株副溶血弧菌进行全基因组序列测定,使用相应的生物信息学软件对测序数据进行基因组装和基因预测,借助相关数据库获得不同菌株的多位点序列分型、耐药基因和毒力基因情况,采取最大似然法构建系统发育树。
      结果  19株副溶血弧菌依据7个管家基因分型,得到 4种序列型(ST),其中 ST3为优势型,1株菌暂定为未知型。 全部菌株均携带β-内酰胺类和四环素类抗生素耐药基因,同时携带影响宿主细胞致病力的重要毒力基因。 2种喹诺酮类耐药基因和trh毒力基因仅在F265菌株中检出。 全基因组系统发育树进化分析结果显示,暴发菌株被分成3个进化分支,E2019、E2020-1和E2020-2的菌株主要集中在lineage B进化分支,E2018的菌株均在lineage C 进化分支。
      结论   四起暴发事件由ST3克隆复合体主导,并伴随其他ST型别菌株的影响。 同起暴发事件分离菌株具有遗传多样性, 菌株测序数据为暴发事件溯源提供技术支持。

     

    Abstract:
      Objective   To obtain the sequence distribution characteristics of Vibrio parahaemolyticus strains isolated from four outbreaks in Fuzhou, Fujian province, and analyze genetic correlations among different strains.
      Methods   The 19 strains of V. parahaemolyticus were sequenced with whole genome sequencing (WGS). Genome assembly and gene prediction for sequenced strains were performed using corresponding bioinformatics software. Multilocus sequence typing, antibiotic resistance genes and virulence genes of the V. parahaemolyticus strains were discovered using relevant databases. The phylogenetic tree was constructed by the maximum likelihood method.
      Results   The 19 V. parahaemolyticus strains were classified into four sequence types according to seven housekeeping genes, ST3 was the predominant STs and there was 1 strain belonged to an unknown ST. All the strains contained β -lactam and tetracycline antibiotic resistance genes, and carried important virulence genes causing pathogenicity of host cells. Two quinolone resistance genes and 1 trh+ virulence gene were detected only in F265 strain. The phylogenetic tree evolution analysis showed that the strains isolated in the outbreaks could be divided into three evolutionary clades, with strains E2019, E2020-1, and E2020-2 mainly in lineage B evolutionary branch and strains E2018 all in lineage C evolutionary branch.
      Conclusion   The V. parahaemolyticus causing the four outbreaks were predominated by ST3 clonal complex accompanied by other STs. The strains isolated from the same outbreak showed genetic diversity. The sequencing data provided technical support for source tracing of the outbreaks.

     

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