摘要
目的对广东省1967-2007年自流行性脑脊髓膜炎(流脑)病人中分离的脑膜炎奈瑟菌(neisseria meningitidis,N.meningitidis)进行分子流行病学研究,了解菌株间的遗传进化关系。方法采用多位点序列分型(Multilocus Sequence Typing,MLST)技术,分别对1967-2007年分离的16株N.meningitidis菌株的7个看家基因的序列进行测定,并将序列与PubMLST数据库中储存的序列比对,确定其等位基因谱型及菌株序列型(Sequencetype,ST),并采用Splits Tree在线软件分析菌株之间的进化关系。结果16株N.meningitidis菌株分为13株A群、2株C群和1株W135群,分属5大克隆系,分别为ST-5、ST-1、ST-4821、ST-11克隆系和未知克隆系的ST-254序列型,其中ST-5克隆系所占比例最多,占68.75%(11/16)。1967-2006年的13株A群分离株中,11株属ST-5克隆系,占84.61%(11/13),另有1977年的1株分离株为ST-1克隆系和1株1984年的分离株为未知克隆系的ST-254序列型;2004和2006年的C群分离株属新出现的高致病性克隆系ST-4821;2007年首次分离的1株W135群菌株为ST-2960,属高致病性的ST-11/ET-37克隆系的子克隆。结论分离于不同年代病人的广东N.meningitidis分离株呈多克隆系并存,但近期以高致病性克隆系为主,特别是广东省首次出现高致病性ST-11/ET-37克隆系的W135群,提示应加强流脑的病原学监测。应用MLST分子分型技术,初步揭示了广东省脑膜炎奈瑟菌的遗传进化关系,基于等位基因图谱的MLST基因分型技术具有较高的分辨率,并通过互联网实现了序列数据库信息的全球共享。
Objective To understand molecular biological characteristics of neisseria meningitides （N. meningitidis ） isolates by MLST in Guangdong Province. Methods Muhilocus Sequence Typing （MLST） technique was introduced to identify sequences of 7 housekeeping genes from 16 N. meningitidis isolated between 1967 and 2007. Results were analyzed and compared with sequence information in PubMLST databases to determine a strain allelic profile, and then analyzed genetic evolution relationship by on - line Splits Tree software after each assigned a sequence type （ST）. Results Total 16 isolates divided into 3 sero- subgroups： 13 group A strains, 2 group C strains, and 1 group W135 strain. All belonged to 5 clone sequences： ST-5, ST-I, ST- 11, ST-4821, and unidentified ST-254, with ST-5 had the most proportion of 68.75% （11/16）. Among 13 subgroup A isolates, 11 belonged to ST - 5, accounted for 84.61% （11/13）, one of 1977 to ST - 1 and one of 1984 to unidentified ST -254. Subgroup C of 2004 and 2006 isolates were identified high pathogenetic sequence, ST -4821. One subgroup W135 which first isolated in 2007 was filial clone of high pathogenetic sequence of ST - 11/ET - 37. Conclusion Multiple clonal sequences of N. meningitidis isolates existed in Guangdong Province with high pathogenetic ones prevalent recently to call for intense surveillance efforts and MLST technique was an ideal tool to reveal genetic evolution profile using internet sequence database.
出处
《华南预防医学》
2008年第3期10-14,共5页
South China Journal of Preventive Medicine
基金
广东省应急病原学重点实验室项目(2003B60127)
