Abstract
吕冰,Christine,Pourcel,刘敬华,董海燕,张媛媛,蒋毅,刘志广,赵秀芹,万康林.结核分枝杆菌多位点可变数目串联重复序列分型方法标准化操作程序的建立[J].Chinese journal of Epidemiology,2008,29(9):919-924
结核分枝杆菌多位点可变数目串联重复序列分型方法标准化操作程序的建立
Establishment of the standard operation program on multiple loci variable numbers tandem repeats analysis typing on Mycobacterium tuberculosis
Received:April 21, 2008  
DOI:
KeyWord: 结核分枝杆菌|多位点可变数目串联重复序列分析|标准化操作程序
English Key Word: Mycobacterium tuberculosis|Multiple loci variable numbers tandem repeats analysis|Standard operation program
FundProject:国家自然科学基金资助项目(30771853)
Author NameAffiliationE-mail
LV Bing State Key laboratory for Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China  
Christine Polymorphisrn and MinisateUites (GPMS), Institute of Genetics and Microbiology(IGM), France  
POURCEL State Key laboratory for Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China  
LIU Jing-hua State Key laboratory for Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China  
DONG Hai-yan State Key laboratory for Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China  
ZHANG Yuan-yuan State Key laboratory for Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China  
JIANG Yi State Key laboratory for Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China  
LIU Zhi-guang State Key laboratory for Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China  
ZHAO Xiu-qin State Key laboratory for Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China  
WAN Kang-lin ############################################################################################################################################################################################################################################################### wankanglin@icdc.cn 
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Abstract:
      目的 建立结核分枝杆菌多位点可变数目串联重复序列分析(MLVA)的标准化方法,评价该方法的分型能力、应用价值。方法 选取15个位点,采用核酸提取、PCR和琼脂糖凝胶电泳等技术,结合BioNumeries(Version 5.0)软件,对中国54株结核分枝杆菌临床分离株进行分型。结果确定标准化的MLVA方法,包括细菌分离培养、核酸提取、PCR、琼脂糖凝胶电泳等实验步骤及标化参数的相关数据分析软件的使用。VNTR位点确定为ETRA、ETRB、ETRC、ETRD、ETRE、MIRU10、MIRU16、MIRU23、MIRU26、MIRU27、MIRU39、MIRU40、Mtub21、Mtub30和Mtub39。结论建立MLVA标准化技术方案,该方法操作简便,分型鉴定能力及实验室间结果可比性强,便于网络化,有利于结核病流行中追溯传染源,分析流行趋势。
English Abstract:
      Objective To establish and evaluate the standardized protocol of multiple loci variable numbers tandem repeats (VNTR) analysis (MLVA) for genotyping Mycobacterium tuberculosis (M.tuberculosis).Methods 15 VNTR loci were chosen for genotyping 54 Chinese M.tuberculosis strains by PCR-electmphoresis-based VNTR analysis and the results were analyzed by software BioNumerics (Version 5.0).Results MLVA method was successfully established and standardized,including the standard protocol for bacterial culture,DNA isolation,PCR and agarose gel electrophoresis and the software analysis. 15 VNTR loci were confirmed,including ETRA,ETRB,ETRC,ETRD,ETRE,MIRU10,MIRU16,MIRU23,MIRU26,MIRU27,MIRU39,MIRU40,Mtub21,Mtub30 and Mtub39,to be suitable for MLVA analysis of M.tuberculosis.Conclusion The standardized MLVA method has been established successfully.This method is simple and has powerful capacity for genotyping and strain differentiation,can be used for the network surveillance on pathogens of M.tuberculosis,and the data are comparable between laboratories.It is valuable for tracing the source and studying the trend of prevalence during investigation of M.tuberculosis infections.
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