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微卫星锚定PCR技术研究云南微小按蚊群体遗传结构
引用本文:郑彬,;汤林华,;马雅军,;王学忠,;施文琦,;周水森. 微卫星锚定PCR技术研究云南微小按蚊群体遗传结构[J]. 广东寄生虫学会年报, 2007, 0(6): 529-532
作者姓名:郑彬,  汤林华,  马雅军,  王学忠,  施文琦,  周水森
作者单位:[1]中国疾病预防控制中心寄生虫病预防控制所,世界卫生组织疟疾、血吸虫病和丝虫病合作中心,上海200025; [2]解放军第二军医大学,上海200433; [3]云南省寄生虫病防治所,思茅665000
摘    要:目的研究云南不同地理来源微小按蚊的群体遗传结构,探讨不同群体间的遗传结构和分化现象。方法在云南省东、西、南、北及中部各选择1~2个自然村,用紫外诱蚊灯于每晚17时至次日7时诱蚊,收集雌成蚊以氯仿麻醉,经形态学鉴别为微小按蚊的样本取单蚊蚊腿,再经复合PCR方法鉴别微小按蚊A或C。采用微卫星锚定PCR技术(SSR-PCR)扩增微小按蚊单蚊基因组DNA,用BIOSIS,RAPDFST,RAPDDIST及PHILIP等软件统计分析基因位点多态性、固定指数FST及θ、种群间的迁移率(Nm)以及遗传距离、聚类分析构建系统树。结果以多态位点比例衡量各种群的遗传多态性,云南不同地区微小按蚊均共享较高多态性,其中元江(C)的变异程度较低,为43.3%,潞西(A)的变异程度较高,为78.6%。FST和θ结果提示,微小按蚊的遗传变异主要存在于种群内部。微小按蚊A与C分别或两者合并分析,Nm均大于1。系统树主要分为两支,元阳(C)、大关(C)和勐腊(C)聚为一支;另一支分为元江(C)与潞西(A),新平(A)和临沧(C),以及勐腊(A)共3层。结论各群体间遗传距离部分与亲缘种分类有关,未发现与地理距离相关。

关 键 词:微卫星锚定PCR  微小按蚊  群体遗传结构

Population Genetics Study on Anopheles minimus in Yunnan Province by SSR-PCR
Affiliation:ZHENG Bin, TANG Lin-hua, MA Ya-jun, WNAG Xue-zhong, SHI Wen-qi, ZHOU Shui-sen (1. National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, WHO Collaborating Center for Malaria, Schistosomiasis and Filariasis, Shanghai 200025; 2. The Second Military Medical University of People's Army of China, Shanghai 200433; 3. Institute of Parasitic Diseases of Yunnan Province, Simao 665000, China)
Abstract:Objective To study the genetic variations of Anopheles minimus in Yunnan Province. Method An.minimus samples were collected from the villages of Yunnan Province. Muhiplex-PCR and morphological examination were used for species identification. PCR products were obtained by SSR-PCR. BIOSIS, RAPDFST, RAPDDIST, PHILIP were used for calculation and analysis of the population diversity, FST, 0, Nm and genetic distance of each population, then dendrogram was constructed. Result A high level of genetic diversity in An. minimus was observed. The genetic variation in An.minimus C in Yuanjiang was lowest (43.3%), and was highest in An.minimus A (78.6%) in Luxi. According to the values of FST and 0, the genetic variation was mainly inside the population itself. In the analysis of gene flow among An.minimus A and C, the value of Nm was smaller than 1. Phylogenetic analysis revealed that the eight populations of An.minimus can be classified into two divisions, namely the An.minimus C in Daguan, Yuanyang and Mengla, and An.minimus C in Yuanjiang, An.minimus A in Luxi, An. minimus C in Lincang, An.minimus A in Xinping, and An.minimus A in Mengla. Conclusion The genetic distance and classification of An.minimus was established. The genetic variation is not correlated with the geographical distribution of the species.
Keywords:SSR-PCR  Anopheles minima.s  population genetics
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