叶绿体标记在玉米种质资源快速分组中的应用分析  

Application analysis of chloroplast markers on rapid classification in maize germplasm

作　　者：王蕊[1] 孙擘 张云龙 张茗起 范亚明 田红丽[1] 赵怡锟 易红梅[1] 匡猛[2] 王凤格[1] WANG Rui;SUN Bo;ZHANG Yun-Long;ZHANG Ming-Qi;FAN Ya-Ming;TIAN Hong-Li;ZHAO Yi-Kun;YI Hong-Mei;KUANG Meng;WANG Feng-Ge(Maize Research Institute,Beijing Academy of Agricultural and Forestry Sciences/Key Laboratory of Crop DNA Fingerprinting Innovation and Utilization(Co-construction by Ministry and Province),Ministry of Agriculture and Rural Affairs/Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding,Beijing 100097,China;Institute of Cotton Research,Chinese Academy of Agricultural Sciences/State Key Laboratory of Cotton Biology,Anyang 455000,Henan,China)

机构地区：[1]北京市农林科学院玉米研究所/农业农村部农作物DNA指纹创新利用重点实验室(部省共建)/玉米DNA指纹及分子育种北京市重点实验室,北京100097 [2]中国农业科学院棉花研究所/棉花生物学国家重点实验室,河南安阳455000

出　　处：《作物学报》2024年第7期1867-1876,共10页Acta Agronomica Sinica

基　　金：北京市农林科学院科技创新能力建设专项(KJCX20230301,KJCX20230303);北京市农林科学院科研创新平台建设专项(PT2023-34)资助。

摘　　要：叶绿体标记具有遗传保守性高且不受核基因重组干扰等特点,适于对玉米种质资源进行分类管理。本研究基于Maize6H-60K芯片对玉米叶绿体标记筛选获得叶绿体分组候选位点,使用上述位点对3549份玉米种质资源进行聚类分析,将玉米种质资源划分为B、D、H、C、T共5个类群。通过基因型信息对比筛选出29个叶绿体分组特异标记(Varietal Chloroplast Panel,VCP)并设计KASP引物。开发兼容芯片、KASP平台的快速分组分析算法,算法结果与聚类分析一致。挑选5个类群特异位点利用序贯法对种质资源进行快速分组检测,构建玉米种质资源快速分组方法,减少了95%的检测量,为玉米种质资源提供一种新型高效的分组管理方法。The chloroplast marker has high genetic conservation and is not affected by nuclear gene recombination,making it suitable for the classification and management of maize germplasm resources.Based on the Maize6H-60K chip,candidate markers for chloroplast grouping were obtained and 3549 maize germplasm resources were classified into five groups:B,D,H,C,and T.Twenty-nine specific chloroplast group panels(VCP)were selected and KASP primers were designed by the comparison of genotype information.A rapid group analysis algorithm compatible with chip and KASP platform was developed,which was consistent with the cluster analysis.Five group-specific markers were selected using sequential analysis to rapidly detect the germplasm resources,and a new efficient method for rapid grouping of maize germplasm resources was established,reducing the detection volume by 95%.This method provides a new efficient way to classify and manage maize germplasm resources.

关 键 词：玉米 种质资源 叶绿体标记 KASP 分组方案 

分 类 号：S513[农业科学—作物学]