作物学报 ›› 2024, Vol. 50 ›› Issue (7): 1728-1739.doi: 10.3724/SP.J.1006.2024.34183
丁艺冰1,2(), 辛旭霞1, 冯智尊1, 郭娟1, 曹越1,3, 陈喜明2, 王晓丹1, 曹晓宁3, SANTRA Dipak K4, 陈凌3, 乔治军3,*(), 王瑞云1,3,*()
DING Yi-Bing1,2(), XIN Xu-Xia1, FENG Zhi-Zun1, GUO Juan1, CAO Yue1,3, CHEN Xi-Ming2, WANG Xiao-Dan1, CAO Xiao-Ning3, SANTRA Dipak K4, CHEN Ling3, QIAO Zhi-Jun3,*(), WANG Rui-Yun1,3,*()
摘要:
优异种质资源是糜子新品种选育和产业发展的基础。本研究以190份东北春播区糜子核心种质为材料, 利用前期构建的SSR标记在5°端标注荧光, 进行PCR扩增和毛细管电泳。根据毛细管电泳检测的片段有无采用“0/1”表示, 利用ID Analysis4.0进行区分, 使用PopGene、PowerMarker、MEGA、Structure、NTSYS进行遗传多样性分析。试验结果表明, 3个荧光SSR标记组合(RYW3+RYW6+RYW28)可区分190份材料, 共检测出等位变异73个, 平均为24.3333; 有效等位基因数(Ne)为5.4728 (RYW3)~15.8922 (RYW6), 平均为9.6496; 检出Shannon多样性指数(I)为2.0851 (RYW3)~2.9457 (RYW6), 平均为2.4896; 观测杂合度(Ho)为0.7529 (RYW6)~0.9574 (RYW28), 平均为0.8876; 期望观测杂合度(He)为0.8194 (RYW3)~0.9398 (RYW6), 平均为0.8765; Nei’s基因多样性指数(Nei)为0.817 3(RYW3)~0.9371 (RYW6), 平均为0.8741; 多态性信息含量(PIC)为0.8656 (RYW3)~0.9722 (RYW6), 平均为0.9198。基于UPGMA将190份资源划分为3个群组。基于Structure的遗传结构分析(K=3)将糜子核心种质分为3个类群, 来源于东北地区的4个基因库(黑龙江、吉林、辽宁和内蒙古的一部分)。基于主成分分析将材料分为4个类群, 与地理来源一致。利用在线二维码技术(
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