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白纹伊蚊微卫星标记的筛选及种群遗传研究
引用本文:魏勇,胡珂,陈钰蓝,王佳甜,郑学礼. 白纹伊蚊微卫星标记的筛选及种群遗传研究[J]. 现代预防医学, 2020, 0(7): 1267-1270
作者姓名:魏勇  胡珂  陈钰蓝  王佳甜  郑学礼
作者单位:南方医科大学公共卫生学院病原生物学系,广东 广州 510515
摘    要:目的 筛选出有效的白纹伊蚊微卫星标记(SSR),并利用这些SSR分析六个不同地区白纹伊蚊种群遗传特征。 方法 通过文献查找已公布于数据库的白纹伊蚊SSR位点,利用聚合酶链式反应(PCR)和生物信息学的方法选定白纹伊蚊SSR,ABI3730测序白纹伊蚊基因组中的这些SSR位点,通过STRUCTURE聚类分析和系统进化树分析六个不同地区种群遗传结构。 结果 查阅文献共找到49个已公布于数据库的白纹伊蚊SSR位点,选取最近发表的29个SSR做PCR鉴定,选取了其中16个多态性高且均匀分布在染色体上的SSR位点,利用这16个SSR位点对6个不同白纹伊蚊种群进行种群遗传分析。分析结果显示地理距离相近的种群遗传距离较近,并确定了最优类群数为2,可将这6个种群分为两个类群,南北方的白纹伊蚊种群分别聚为一个类群。 结论 通过PCR和生物信息学的方法筛选出的白纹伊蚊SSR位点,能够应用于白纹伊蚊种群遗传研究,并将本研究的6个不同白纹伊蚊种群成功地划分为南北两个类群。

关 键 词:白纹伊蚊  微卫星标记  PCR  生物信息学  种群遗传

Screening of microsatellite markers of Aedes albopictus and their application in the population genetics
WEI Yong,HU Ke,CHEN Yu-lan,WANG Jia-tian,ZHENG Xue-li. Screening of microsatellite markers of Aedes albopictus and their application in the population genetics[J]. Modern Preventive Medicine, 2020, 0(7): 1267-1270
Authors:WEI Yong  HU Ke  CHEN Yu-lan  WANG Jia-tian  ZHENG Xue-li
Affiliation:Department of Pathogen Biology, School of Public Health, Southern Medical University, Guangzhou, Guangdong 510515, China
Abstract:To screen out the effective microsatellite markers(SSRs) of Ae. albopictus, and to use these SSRs to analyze the genetic characteristics of Ae. albopictus populations in six different regions. Methods The SSRs of Ae. albopictus, which has been published in the database, were searched by the literature. The final SSR used for the research was selected by polymerase chain reaction(PCR) and bioinformatics methods. ABI3730 was used to sequence the SSR markers of Ae. albopictus. The STRUCTURE clustering analysis and phylogenetic tree were used to analyze the genetic structure of the populations in six different regions. Results A total of 49 SSRs loci in Ae. albopictus were published in the literature. 29 SSRs published recently were selected for PCR identification, and 16 SSRs of them with high polymorphism and evenly distributed on chromosomes were selected and used to analyze population genetics of Ae. albopictus in six different regions. The results showed that the genetic distances of populations with close geographical distances were close. The optimal taxonomic group was determined to be 2, and the 6 populations could be divided into two subgroups, including southern populations and northern populations. Conclusion The effective SSR markers in Ae. albopictus can be selected by PCR and bioinformatics methods, and they can be used in population genetics of Ae. albopictus. The populations in six different regions in this study are clustered into southern populations and northern populations successfully.
Keywords:Ae.albopictus  Microsatellite markers  PCR  Bioinformatics  Population genetics
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