摘要
为研究镇巴天麻的遗传多样性,分析不同天麻种质资源间的差异,本研究利用11对SSR引物对镇巴产红天麻和全国其他地区不同变型的天麻种质资源进行遗传多样性分析,并构建其DNA指纹图谱。研究结果表明:11对引物共检测出64个基因位点,平均每对引物5.82个;镇巴红天麻种群具有较高的遗传多样性(A=2.7273,H=0.5625,I=0.8915);天麻种群间遗传分化强烈(F_(st)=0.3431);聚类分析结果显示,相同变型的天麻种群首先聚在了一起,相同变型的不同种群也能被完全区别开来,SSR指纹图谱在变型水平和种群水平上鉴定效率良好;从20个镇巴红天麻样本中共检测出有20种基因型,Simpson指数(D)为1.000,表明SSR指纹图谱在个体水平上也有着良好的鉴定效率。本研究为天麻种质资源保护及良种选育提供理了理论依据和技术支持。
In order to study the genetic diversity,to reveal the differences among germplasms,11 pairs of SSR primer were used to analyze the genetic diversity of Gastrodia elata Bl.f.elata sampled from Zhenba county and other different forms sampled from other parts of the country.The fingerprinting was constructed for all the samples.As the results,a total of 64 loci were detected by the 11 pair of primers,with an average of 5.82 per pair.The genetic diversity of Zhenba population was high(A=2.7273,H=0.5625,I=0.8915),the genetic differentiation between populations was strong(F_(st)=0.3431).Cluster analysis showed that population of same form were clustered together firstly,different populations with same form could be completely separated,which indicated the SSR markers had good identification efficiency on both form level and population level.A total of 20 genotypes were detected from the 20 samples in Zhenba population,the Simpson index(D)was 1000,indicating the SSR finger printing had a good identification efficiency on the individual level.The study provided theoretical basis and technical support for the germplasms conversation and improved variety breeding of G.elata.
作者
王齐
周天华
王佳
邓百万
陈琛
成世强
张世超
周代贵
Wang Qi;Zhou Tianhua;Wang Jia;Deng Baiwan;Chen Chen;Cheng Shiqiang;Zhang Shichao;Zhou Daigui(College of Biological Science and Engineering,Shaanxi University of Technology,Hanzhong,723001;Zhenba County Science and Technology Progress Promotion Center,Zhenba,723600;Zhenba County Agricultural Technology Promotion Station,Zhenba,723600)
出处
《分子植物育种》
CAS
北大核心
2022年第13期4425-4433,共9页
Molecular Plant Breeding
基金
陕西省教育厅专项科研计划项目(18JK0156)
陕西省科技创新项目(2019HBGC-19)
陕西省重点研发计划项目(2020NY-139)共同资助。
