中国媒介生物学及控制杂志 ›› 2013, Vol. 24 ›› Issue (2): 98-102.

• 论著 • 上一篇    下一篇

可变数目串联重复序列分析与多位点序列分析在伯氏疏螺旋体分型研究中的应用

周鑫1,2, 侯学霞2, 耿震2, 张琳2, 郝琴2, 赵素莲1   

  1. 1 山西医科大学微生物与免疫教研室,山西太原 030001;
    2 中国疾病预防控制中心传染病预防控制所莱姆病室,传染病预防控制国家重点实验室,北京 102206
  • 收稿日期:2012-12-11 出版日期:2013-04-20 发布日期:2013-04-20
  • 通讯作者: 赵素莲, 郝琴
  • 基金资助:
    国家自然科学基金(31100105);国家科技重大专项课题(2013ZX10004-001)

Application of multiple-locus VNTR analysis and multi-locus sequence analysis in genotyping of Borrelia burgdorferi sensu lato

ZHOU Xin1,2, HOU Xue-xia2, GENG Zhen2, ZHANG Lin2, HAO Qin2, ZHAO Su-lian1   

  1. 1 Department of Microbiology and Immunology, Shanxi Medical University, Taiyuan 030001, Shanxi Province, China;
    2 State Key Laboatory for Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
  • Received:2012-12-11 Online:2013-04-20 Published:2013-04-20
  • Supported by:
    Supported by the National Natural Science Foundation of China(No. 31100105)and National Science and Technology Major Project for Infectious Disease in China(No. 2013ZX10004-001)

摘要: 目的 评价多位点可变数目串联重复序列分析(MLVA)和多位点序列分析(MLSA)两种方法在伯氏疏螺旋体分型研究中的应用.方法 采用MLVA和MLSA两种方法对31株伯氏疏螺旋体分型结果进行比较分析.结果 31株伯氏疏螺旋体用MLVA方法分成4簇,24个基因型,其中21个独立基因型,成簇率达24/31,MLVA的分辨率达到0.969;MLSA可将31株伯氏疏螺旋体分成4簇,每株都可独立分析,但有3个节点步长值(Bootstrap value)<50%.结论 MLVA和MLSA两种方法均适合于伯氏疏螺旋体的分型研究,对于部分分型有异议的菌株,将MLVA与MLSA联合可有效进行伯氏疏螺旋体的分型鉴定.

关键词: 多位点序列分析, 多位点可变数目串联重复序列分析, 伯氏疏螺旋体, 基因分型

Abstract: Objective To evaluate the application of multiple-locus variable-number tandem-repeat (VNTR) analysis (MLVA) and multi-locus sequence analysis (MLSA) in the genotyping of Borrelia burgdorferi sensu lato. Methods Thirty-one strains of B. burgdorferi sensu lato were genotyped by MLVA and MLSA, and the genotyping results were subjected to comparative analysis. Results The MLVA showed that the 31 strains were divided into 4 clusters, with 24 genotypes, 21 of which were unique genotypes; the clustered rate was 24/31, and the distinguishability was 0.969. The MLSA showed that the 31 strains were divided into 4 clusters; every strain was able to be identified separately, but there were 3 nodes with bootstrap values lower than 50%. Conclusion Both MLSA and MLVA are suitable for the genotyping of Lyme disease Borrelia, and a combination of MLVA and MLSA are very useful for genotyping of those uncertain strains.

Key words: Multi-locus sequence analysis, Multiple-locus variable-number tandem-repeat analysis, Borrelia burgdorferi sensu lato, Genotyping

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