作物学报 ›› 2022, Vol. 48 ›› Issue (4): 908-919.doi: 10.3724/SP.J.1006.2022.14034
陈小红1(), 林元香1, 王倩1, 丁敏1, 王海岗2, 陈凌2, 高志军3, 王瑞云1,2,*(), 乔治军2,*()
CHEN Xiao-Hong1(), LIN Yuan-Xiang1, WANG Qian1, DING Min1, WANG Hai-Gang2, CHEN Ling2, GAO Zhi-Jun3, WANG Rui-Yun1,2,*(), QIAO Zhi-Jun2,*()
摘要:
为快速鉴定黍稷(Panicum miliaceum)资源, 建立大数据管理平台, 为种质身份标识和溯源管理提供理论依据。本研究以来源于4个生态栽培区的130份资源为材料, 基于35个高基元SSR (四、五和六碱基重复各21、10和4个)构建分子身份证。结果表明, 35个标记中有30个扩增条带稳定, 可用于分子身份证构建。30个标记共检出等位变异(Na) 90个, 平均为30个; 有效等位变异(Ne)为2.3186~2.9982, 平均为2.7607; Shannon多样性指数(I)为0.9158~1.0873, 平均为1.0472; Nei’s基因多样性指数(Nei)为0.5687~0.6665, 平均为0.6360; 多态性信息含量(PIC)为0.5151~0.7898, 平均为0.6966; 观测杂合度(Ho)为0.5000~ -0.8678, 平均为0.7168; 期望观测杂合度(He)为0.5710~0.6691, 平均为0.6386。基于UPGMA聚类将材料划为3个类群(I、II、III), 就山西省材料而言, 地方品种和育成品种分别划归类群I和III, 农家种在3个类群中均有分布。主成分分析将试材归为4类, 聚类结果与其地理来源一致。基于最少标记区分最多种质的原则, 剔除相似系数高的3个标记(RYW23、RYW49和RYW51), 筛选其余27个标记, 发现仅用17个标记组合(RYW35、RYW40、RYW37、RYW18、RYW30、RYW16、RYW20、RYW19、RYW8、RYW5、RYW3、RYW7、RYW1、RYW14、RYW9、RYW6和RYW10)可将全部材料区分。用ID Analysis 4.0、在线条形码生成器和二维码技术(
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