中国农业科学 ›› 2024, Vol. 57 ›› Issue (2): 236-249.doi: 10.3864/j.issn.0578-1752.2024.02.002

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

吉林省玉米种质资源SSR和SNP分子身份证的构建及应用

张茗起1,3(), 王蕊1(), 张春宵2, 孙擘1,3, 任洁1, 李淑芳4, 王璐1, 朱少喜1, 张江斌1, 施昕晨1, 王海杰1, 张云龙1, 田红丽1, 赵怡锟1, 匡猛3, 王元东1, 易红梅1, 李晓辉2(), 王凤格1()   

  1. 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 吉林省农业科学院玉米研究所,吉林公主岭 136100
    3 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
    4 吉林省农业科学院作物资源研究所,吉林公主岭 136100
  • 收稿日期:2023-06-05 接受日期:2023-08-01 出版日期:2024-01-16 发布日期:2024-01-19
  • 通信作者:
    王凤格,E-mail:
    李晓辉,E-mail:
  • 联系方式: 张茗起,E-mail:mrzhangmq@foxmail.com。王蕊,E-mail:skywangr@126.com。张茗起和王蕊为同等贡献作者。
  • 基金资助:
    国家重点研发计划(2021YFD1201005); 北京市农林科学院科技创新能力建设专项(KJCX20230303); 北京市农林科学院科研创新平台建设专项(PT2023-34)

The Construction and Application of SSR and SNP Molecular ID for Maize Germplasm Resources of Jilin Province

ZHANG MingQi1,3(), WANG Rui1(), ZHANG ChunXiao2, SUN Bo1,3, REN Jie1, LI ShuFang4, WANG Lu1, ZHU ShaoXi1, ZHANG JiangBin1, SHI XinChen1, WANG HaiJie1, ZHANG YunLong1, TIAN HongLi1, ZHAO YiKun1, KUANG Meng3, WANG YuanDong1, YI HongMei1, LI XiaoHui2(), WANG FengGe1()   

  1. 1 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)/Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Beijing 100097
    2 Maize Research Institute, Jilin Academy of Agricultural Sciences, Gongzhuling 136100, Jilin
    3 Institute of Cotton Research of Chunese Academy of Agricultural Sciences/State Key Laboratory of Cotton Biology, Anyang 455000, Henan
    4 Crop Germplasm Resources Institute, Jilin Academy of Agricultural Sciences, Gongzhuling 136100, Jilin
  • Received:2023-06-05 Accepted:2023-08-01 Published:2024-01-16 Online:2024-01-19

摘要:

【目的】 农作物种质资源具有重要的战略地位。吉林省玉米种质资源库主要存储具有北方春玉米区特色的种质资源。鉴于在传统农作物种质资源管理过程中难以获取真实身份信息的现状,利用分子标记技术构建种质资源分子身份证可以有效鉴定种质资源真实身份,强化种质资源的分类管理。通过深度发掘吉林省玉米种质资源库的优异资源,推动共享利用。【方法】 以吉林省玉米种质资源库中的2 918份玉米种质资源为研究对象,采用玉米品种鉴定检测标准中推荐的40对SSR标记,以及61 214个SNP标记来构建其分子身份证。根据获得的分子身份证信息将种质资源划分为核心、同近源、异质和群体等类进行管理,并进一步针对核心种质进行遗传多样性分析。【结果】 为2 918份种质资源构建了SSR分子身份证,为除异质性种质外的2 502份种质资源构建了SNP分子身份证。分别制定了玉米种质资源SSR和SNP分子身份证的建设规范。其中,SSR分子身份证由40个SSR位点指纹转化为三位数字和一位字母的编码组合构成,并以二维码形式存储;SNP分子身份证由61 214个SNP位点指纹转化为可视化的条形码。根据样品纯合度和指纹特异性等特征,将样品划分为1 561份核心类、705份同近源类、416份异质类及236份群体类种质资源。遗传多样性分析表明,以旅大红骨群、黄改群为代表的国内种质资源是该库的主要种质资源,占全部核心种质资源的64.38%。【结论】 提出了玉米种质资源分子身份证构建流程,为吉林省玉米种质资源库2 918份种质资源构建了全部的SSR分子身份证和2 502份SNP分子身份证;建立了核心、同近源、异质、群体四类种质资源筛选方案,实现了种质资源的分类管理。

关键词: 玉米, 种质资源, 吉林, SSR, SNP, 分子身份证

Abstract:

【Objective】 Crop germplasm resources hold a crucial strategic position. The Maize Germplasm Resources Bank in Jilin Province safeguards a collection of germplasm resources distinctively representative of the Northern Spring Maize Region. Traditional germplasm resource management faces challenges in ascertaining accurate identity information. To address this issue, molecular marker technology has been employed to establish a process for the construction and classification of molecular IDs for germplasm resources, thereby enabling precise identification and bolstering categorical management. Thorough exploration of the exceptional resources within Jilin Province's Maize Germplasm Resources Bank is intended to advance the shared utilization of these valuable germplasm resources. 【Method】 A total of 2 918 maize germplasm resources were utilized from the Jilin Provincial Maize Germplasm Resources Bank as subjects of the study, the molecular IDs were constructed by using 40 pairs of SSR markers and 61 214 SNP markers recommended in maize variety identification standards. Based on the molecular ID information, the germplasm resources were categorized into core, closely related, heterogeneous, and population groups for management purposes. Furthermore, the core germplasms were analyzed on genetic diversity. 【Result】 In this investigation, the SSR molecular IDs were constructed for 2 918 maize germplasm resources, while the SNP molecular IDs were constructed for 2 502 maize germplasm resources, excluding heterogeneous germplasm. The standards for the construction of SSR and SNP molecular IDs were established for maize germplasm resources. The SSR molecular ID is composed of a combination of three-digit numbers and one-letter code converted from 40 SSR loci fingerprints, stored in the form of a QR code. The SNP molecular ID converts the fingerprints of 61 214 SNP loci into visual barcodes. Based on the features of sample homozygosity and fingerprint specificity, the samples were categorized into 1 561 cores, 705 closely related, 416 heterogeneous, and 236 population types of germplasm resources. Genetic diversity analysis indicates that domestic germplasm resources, represented by Lüdahonggu and Huanggai groups, constituting the main germplasm resources in the Jilin Provincial Maize Germplasm Resources Bank, accounting for 64.38% of all core germplasm resources. 【Conclusion】 This research outlines a methodology for constructing molecular IDs for maize germplasm resources. The SSR molecular IDs were constructed for 2 918 accessions stored in the Jilin Provincial Maize Germplasm Resources Bank and the SNP molecular IDs were constructed for 2 502 among them. The germplasm resources were categorized into core, closely related, heterogeneous, and population types to achieve the classification management.

Key words: maize, germplasm resource, Jilin, SSR, SNP, molecular ID