%0 Journal Article
%T Genetic diversity of different geographical populations of Oxya chinensis based on AFLP analysis<br>中华稻蝗不同地理种群遗传多样性的AFLP分析
%A MA Jin
%A LI Tao
%A LONG Wen-Min
%A AN Wei-Wei
%A GUO Ya-Ping
%A MA En-Bo School of Life Science
%A Technology
%A Shanxi University
%A Taiyuan
%A China
%A Institute of Applied Biology
%A <br>马晋
%A 李涛
%A 龙文敏
%A 安玮玮
%A 郭亚平
%A 马恩波
%J 遗传
%D 2010
%I 
%X In order to study the genetic diversity and genetic structure of populations, 7 populations of Oxya chinensis from 7 provinces (or cities) of China were analyzed using AFLP technique. A total of 336 reproducible bands were amplified with 7 primer combinations from 128 individuals. Two hundred and ninety-two bands (86.90%) were polymorphic. High genetic diversity was found among O. chinensis populations and Wanning population had higher genetic diversity than other populations. Mantel test (r=0.27, P=0.89) suggested that there was no significant association between genetic distance and geographic distance. Remarkable genetic differentiation was found among populations. Unweighted pair group method average (UPGMA) tree showed that the 7 O. chinensis populations were divided into 3 groups: Changping of Beijing, Tai-yuan of Shanxi and Jining of Shandong populations in the north; Hanzhong of Shaanxi, Changsha of Hunan and Laibin of Guangxi populations in the south; and Wanning of Hainan population. Principal component analysis indicated significant genetic differentiation of the north and the south populations and island and continent populations existed in the 7 O. chinensis populations because of geographic isolation.
%K AFLP
%K Oxya chinensis
%K AFLP
%K genetic diversity
%K geographic isolation<br>中华稻蝗
%K AFLP
%K 遗传多样性
%K 地理隔离
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=90BA3D13E7F3BC869AC96FB3DA594E3FE34FBF7B8BC0E591&jid=3E23F50E071DF18E21B2F5AEE4F1FA5E&aid=F41D03449C811738F89F432A34228EC6&yid=140ECF96957D60B2&vid=9971A5E270697F23&iid=0B39A22176CE99FB&sid=D5C9DC4EF2F78008&eid=954CE65414DD94CA&journal_id=0253-9772&journal_name=遗传&referenced_num=1&reference_num=26