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广东省肺结核临床分离菌株DNA指纹分析 被引量:3

Analysis for DNA fingerprinting of M.tuberculosis strainsin Guangdong province
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摘要 目的 构建结核分支杆菌IS6 110DNA指纹图谱 ,从分子水平探讨广东省结核分支杆菌的特征。方法 参照VanEmbden推荐的结核分支杆菌DNA指纹标准方法 ,构建标准菌株Mt14 32 3和广东省的 74株临床分离株的以RFLP为基础的结核分支杆菌的IS6 110DNA指纹图谱 ;经互联网与世界结核菌DNA指纹库进行相似性比较 ;应用Gelcompar 4 .1(AppliedMaths ,Kortrijk ,Belgium )软件对上述菌株的指纹图谱进行聚类分析。结果 Mt14 32 3标准菌株和 74例临床分离菌株IS6 110DNA指纹图谱结果与国外同类报道一致 ;其中 2 4 .3% (18/74 )的结核菌株的IS6 110DNA指纹相似值在 1~ 0 .6 5之间 ,鉴定结果为它们均是北京家族结核分支杆菌 ;IS6 110 0 1个拷贝和 2个拷贝菌株较多 (2 1/74 )。结论 目前“北京家族”结核分支杆菌菌株一定程度上在广东地区流行。 Objective To establish DNA IS6110 fingerprinting patterns of M.tuberculosis strains and to explore distributing characters of the M.tuberculosis of Guangdong province in the molecular epidemiology.Methods The standardize method of M.tuberculosis DNA fingerprinting that is recommended by Van Embden was used for establishing the standard M.tuberculosis strains of Mt14323 and the DNA IS6110 fingerprinting patterns of seventy-four clinical isolates from Guangdong province.The data of fingerprinting patterns we detected were compared with the fingerprinting patterns data of the world by internet. The software of Gel compar 4.1(Applied Maths, Kortrijk, Belgium) were applied to analyze to the fingerprinting patterns of the strains in clustering.Results The DNA IS6110 fingerprinting patterns of Mt14323 standard strains and seventy-four clinical isolates are the same with the reports in the other country. Among 74 clinical isolates, the similar value of DNA IS6110 fingerprinting patterns of 24.3%(18/74) was form 1 to 0.65. And the result of identification showed that all of them are belong to Beijing family. It is more the isolates which have 1 copy and 2 copy (21/74).Conclusion At present, the M.tuberculosis strains of Beijing family has been prevailing in the area of Guangdong province in a certain level.
出处 《中国防痨杂志》 CAS 北大核心 2004年第1期24-26,共3页 Chinese Journal of Antituberculosis
基金 广东省卫生厅立项课题 (编号 :wstjj 2 0 0 10 10 5 ) 广东省科委科研基金资助
关键词 广东 肺结核 菌株 DNA指纹法 分支杆菌 分子生物学 M.tuberculosis DNA fingerprinting technology clustering analysis
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