微卫星分子标记揭示的杂草稻遗传多样性及群体分化
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  • 英文篇名:Genetic Diversity and Differentiation of Weedy Rice Populations Revealed by Microsatellite Markers
  • 作者:韩光煜 ; 徐俊采 ; 张能 ; 谭文超 ; 毕振佳 ; 刘斌 ; 王薇 ; 何平 ; 王云月
  • 英文作者:Han Guangyu;Xu Juncai;Zhang Neng;Tan Wenchao;Bi Zhenjia;Liu Bin;Wang Wei;He Ping;Wang Yunyue;Key Laboratory of Agricultural Biodiversity and Pest Management Ministry of Education, Yunnan Agricultural University;
  • 关键词:杂草稻 ; 遗传多样性 ; 遗传分化 ; SSR分子标记 ; 基因流
  • 英文关键词:Weedy rice;;Genetic diversity;;Genetic divergence;;SSR molecular markers;;Gene flow
  • 中文刊名:FZZW
  • 英文刊名:Molecular Plant Breeding
  • 机构:云南农业大学农业生物多样性与病虫害控制教育部重点实验室;
  • 出版日期:2019-02-14
  • 出版单位:分子植物育种
  • 年:2019
  • 期:v.17
  • 基金:云南省现代农业水稻产业体系基金项目(A300617)资助
  • 语种:中文;
  • 页:FZZW201903024
  • 页数:7
  • CN:03
  • ISSN:46-1068/S
  • 分类号:195-201
摘要
为了明确不同地理位置杂草稻群体的遗传多样性现状、遗传分化水平以及杂草稻群体之间的基因流。本研究利用24对SSR引物对来自黑龙江、吉林、辽宁、江苏和广东共17个杂草稻群体的469份杂草稻样本进行的遗传多样性及遗传分化分析。结果表明杂草稻群体的总体遗传多样性较为丰富(I=0.36, He=0.23),不同杂草稻群体间的遗传多样性指数差异较大,He在0.07~0.35之间。AMOVA分析结果表明,杂草稻群体70%的变异来源于群体间,30%的变异来源于群体内。聚类分析显示,相邻地区的种群间相似性较高,江苏省杂草稻的不同种群间存在较高遗传分化;遗传分化与基因流结果表明,17个杂草稻种群间总的Nm值为0.117,总Fst值为0.694。地理位置较近的种群间Nm普遍较高,Fst较低;而地理位置较远的种群间Nm普遍较低,Fst较高。总之,本实验中的杂草稻群体总体的遗传多样性水平较高,群体之间的遗传多样性指数差异较大;杂草稻群体间的遗传分化显著大于群体内的分化,符合遗传距离的空间隔离模型;杂草稻群体间和地区间有一定水平的基因流,本研究对理解杂草稻在农田生态系统中的适应性进化及制定杂草稻控制策略具有重要意义。
        To identify the status of genetic diversity, genetic differentiation, and gene flow among weedy rice populations in weedy rice populations in different geographic locations, the genetic diversity and genetic differentiation of 469 weedy rice samples from 17 weedy rice populations in Heilongjiang, Jilin, Liaoning, Jiangsu,and Guangdong province were analyzed by using 24 pairs of SSR primers. The results showed that the overall genetic diversity of weedy rice population indicated relatively high(I=0.36, He=0.23), and the genetic diversity index among different weedy rice populations was quite different, He was between 0.07~0.35. The results of AMOVA analysis showed that 70% of the variation in the weedy rice population originated from inter-population and 30% of the variation originated from within the population. AMOVA analyze showed 70% of genetic variation among weedy rice populations and 30% of genetic variation within weedy rice populations. Cluster analysis showed that there was a high similarity between populations in adjacent regions, and there was a high genetic differentiation among different populations of weedy rice in Jiangsu province. Genetic differentiation and gene flow results showed that the total Nm value of the 17 weedy rice populations was 0.117 and the total Fst value was0.694. The Nm was generally higher and the Fst was lower among the populations with relatively close geographical locations, while the Nm is generally lower and the Fst is higher between the geographically distant populations. Overall, the overall genetic diversity of the weedy rice population in this experiment was high, and the genetic diversity index of the populations was quite different. The genetic differentiation among the weedy rice populations was significantly greater than that within the populations, fitting with the genetic isolation-by-distance model, and there was a certain level of gene flow between the weedy rice populations and the regions. This study might be of great significance in understanding the adaptive evolution of weedy rice in farmland ecosystem and in formulating the control strategy of weedy rice.
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