用微卫星标记分析北方春糜子区黍稷的遗传差异  

Analysis of Genetic Differences of Broomcorn Millet in Northern Spring-sowing Ecotope by Microsatellite Markers

作　　者：段政勇 邢志 王海岗[2] 陈凌[2] Dipak K Santra 王瑞云[1,2] 乔治军 DUAN Zhengyong;XING Zhi;WANG Haigang;CHEN Ling;DIPAK K Santra;WANG Ruiyun;QIAO Zhijun(College of Agriculture,Shanxi Agricultural University,Taigu 030801,China;Center for Agricultural Genetic Resources Research,Shanxi Agricultural University/Key Laboratory of Crop Gene Resources and Germplasm Enhancement on Loess Plateau,Ministry of Agriculture and Rural Affairs/Shanxi Key Laboratory of Genetic Resources and Genetic Improvement of Minor Crops,Taiyuan 030031,China;Alternative Crops Breeding Specialist Panhandle Research and Extension Center 4502 Avenue I,University of Nebraska-Lincoln,Scottsbluff,NE 69361,US)

机构地区：[1]山西农业大学农学院,山西太谷030801 [2]山西农业大学农业基因资源研究中心/农业农村部黄土高原作物基因资源与种质创制重点实验室/杂粮种质资源发掘与遗传改良山西省重点实验室,山西太原030031 [3]内布拉斯加大学林肯分校农艺系小宗粮豆研究与推广中心,美国内布拉斯加州69361

出　　处：《山西农业科学》2022年第4期494-503,共10页Journal of Shanxi Agricultural Sciences

基　　金：国家现代农业产业技术体系建设专项(CARS-06-13.5-A16);国家自然科学基金项目(31271791);山西省现代农业产业技术体系建设(杂粮)项目(2022-03);山西省自然科学基金项目(201901D11126)。

摘　　要：利用80对高基元SSR引物检测北方春糜子区48份黍稷材料的多态性,用PowerMarker 3.25对多态性进行分析,用Structure 2.2对群体遗传结构进行分析,使用MEGA 5.0构建聚类图,通过PopGen 1.32进行等位基因、有效等位基因数和多样性指数的计算,用NTSYSpc 2.11软件进行主成分分析。结果表明,80个标记在48份材料中检测到206个等位变异,每个位点检测到2~3个,平均2.575个;其中,产生2个变异的位点有34个,产生3个变异的位点有46个。80个位点多样性指数介于0.6655(RYW95)~1.0786(RYW166),平均为0.8608;80个位点PIC值介于0.1850(RYW151)~0.7062(RYW111),平均为0.4536。不同地区的黍稷种质间的遗传距离为0.0286~0.0456,遗传一致度为0.9555~0.9736。基于UPGMA聚类分析,48份黍稷分为3个类群,类群Ⅰ、Ⅱ和Ⅲ分别以青海、山西和内蒙古材料为主。Structure分析结果将参试材料分为4个群组,分别以青海、内蒙古、甘肃和山西材料为主。PCA主成分分析发现,第1类群试验材料均来自青海,第2类群试验材料均来自甘肃,第3类群试验材料均来自内蒙古,第4类群试验材料均来自山西。通过对北方春糜子区48份样本黍稷的遗传多样性、遗传距离和遗传一致性分析,发现青海省材料具有最丰富的遗传多样性和复杂的遗传背景。In this paper,the polymorphisms of 48 broomcorn millet accessions in northern spring-sowing broomcorn millet ecotope were detected by 80 pairs of high motif SSR primers,the polymorphisms were analyzed by PowerMarker 3.25,the population genetic structure was analyzed by Structure 2.2,the cluster diagram was constructed by MEGA 5.0,and the number of alleles and effective alleles,and diversity index were calculated by PopGen 1.32.Principal component analysis was performed with NTSYSpc 2.11 software.The results showed that 206 allelic variants were detected in 48 accessions using a total of 80markers,2-3 variants were detected per locus,with an average of 2.575;among them,34 loci produced 2 variants and 46 loci produced 3 variants.The diversity index of 80 loci ranged from 0.6655(RYW95)-1.0786(RYW166),with an average of 0.8608;The PIC value of 80 loci ranged from 0.1850(RYW151)-0.7062(RYW111),with an average of 0.4536.The genetic distance between broomcorn millet germplasm in different regions was 0.0286-0.0456,and the genetic consistency was 0.9555-0.9736.Based on UPGMA cluster analysis,48 accessions were divided into three groups(Ⅰ,ⅡandⅢ).GroupsⅠ,ⅡandⅢwere mainly from Qinghai,Shanxi and Inner Mongolia,respectively.According to the results of Structure analysis,the tested materials were divided into four groups,mainly were those from Qinghai,Inner Mongolia,Gansu and Shanxi,respectively.Principal component analysis showed that the first group of test materials was all from Qinghai,the second group of test materials was all from Gansu,the third group of test materials was all from Inner Mongolia,and the fourth group of test materials was all from Shanxi.Through the analysis of genetic diversity,genetic distance and genetic consistency of broomcorn millet in 48 accessions from northern spring-sowing ecotope,it was found that accessions from Qinghai province had the most abundant genetic diversity and complex genetic background.

关 键 词：黍稷 高基元SSR 遗传多样性 遗传结构 聚类分析 

分 类 号：S516[农业科学—作物学]