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中国油料作物学报 ›› 2021, Vol. 43 ›› Issue (6): 1025-1030.doi: 10.19802/j.issn.1007-9084.2021015

• 遗传育种 • 上一篇    下一篇

花生百果质量和百仁质量性状的QTL定位分析

崔凤高1, 胡晓辉1, 苗华荣1, 张胜忠1, 王娟1, 王嵩2, 侯刚3, 隋洁4, 张建成1(), 陈静1()   

  1. 1.山东省花生研究所,山东 青岛,266100
    2.安徽省农业科学院作物研究所,安徽 合肥,230001
    3.铁岭市农业科学院,辽宁 铁岭,112616
    4.山东省农业科学院,山东 济南,250100
  • 收稿日期:2021-01-06 出版日期:2021-12-22 发布日期:2021-12-23
  • 通讯作者: 张建成,陈静 E-mail:13863920622@163.com;mianbaohua2008@126.com;13863920622@163.com
  • 作者简介:崔凤高(1965- ),男,副研究员,主要从事花生示范推广工作;|胡晓辉(1980- ),女,助理研究员,主要从事花生遗传育种研究
  • 基金资助:
    山东省农业良种工程(2020LZG001);山东省农业科学院创新工程(CXGC2021A09);青岛市民生科技计划项目(20-3-4-26-nsh)

QTL mapping for 100-pod and 100-seed weights in cultivated peanut

Feng-gao CUI1, Xiao-hui HU1, Hua-rong MIAO1, Sheng-zhong ZHANG1, Juan WANG1, Song WANG2, Gang HOU3, Jie SUI4, Jian-cheng ZHANG1(), Jing CHEN1()   

  1. 1.Shandong Peanut Research Institute, Qingdao 266100, China
    2.Institute of Crops, Anhui Academy of Agricultural Science, Hefei 230001, China
    3.Tieling Agricultural Research Institute, Tieling 112616, China
    4.Shandong Academy of Agricultural Sciences,Jinan 250100, China
  • Received:2021-01-06 Online:2021-12-22 Published:2021-12-23
  • Contact: Jian-cheng ZHANG,Jing CHEN E-mail:13863920622@163.com;mianbaohua2008@126.com;13863920622@163.com

摘要:

为探索栽培种花生百果质量和百仁质量遗传机制,以花育28号和P76为亲本构建了包含146个家系的重组自交系(recombinant inbred line,RIL)群体,测定了3个环境下的百果质量与百仁质量表型数据,并利用单环境和多环境联合定位进行QTL的鉴定。结果表明,在不同环境下RIL群体百果质量和百仁质量均表现为超亲遗传。基于多环境QTL分析检测到5个与百果质量、10个与百仁质量相关的QTL。基于单环境QTL分析共检测到3个百果质量相关位点qHPW05.1、qHPW07.1qHPW19.1,分布于3个连锁群上。其中qHPW07.1在三个环境下稳定表达,表型贡献率4.610%~8.840%;qHPW19.1在两个环境下稳定表达,表型贡献率9.985%~11.224%。检测到4个百仁质量相关位点qHSW05.1、qHSW07.1、qHSW19.1qHSW20.1,分布于4个连锁群上。其中qHSW 07.1在两个环境下稳定表达,表型贡献率7.155%~10.464%;qHSW 19.1在三个环境下稳定表达,表型贡献率7.239%~13.845%。获得控制百果质量和百仁质量的QTL簇2个,分别位于LG07(Cluster I)和LG19(Cluster II)。本研究结果为后续相关基因克隆和花生产量性状改良提供了理论基础。

关键词: 花生, 百果质量, 百仁质量, QTL

Abstract:

A peanut recombinant inbred population with Huayu 28 and P76 as parents was used to perform genetic mapping for 100-pod and 100-seed weight. Phenotypic data of 100-pod and 100-seed weight were collected in 3 environments. QTL mapping analysis was performed with individual environmental analysis and multi-environmental joint analysis. Multi-environmental joint analysis demonstrated 5 QTLs for 100-pod weight and 10 QTLs for 100-seed weight. Individual environmental analysis yielded 3 QTLs for 100-pod weight (qHPW05.1, qHPW07.1, qHPW19.1) on 3 linkage groups, and 4 QTLs for 100-seed weight (qHSW05.1, qHSW07.1, qHSW19.1, qHSW20.1) on 4 linkage groups. Among these, qHPW07.1, qHPW19.1, qHSW 07.1 and qHSW 19.1 could be detected in two or three environments with phenotypic variation explained (PVE) ranging from 4.610%-8.840%, 9.985%-11.224%, 7.155%-10.464% and 7.239%-13.845%. qHPW07.1 could be detected in 3 environments with phenotypic variation explained (PVE) of 4.610%-8.840%. Comparative analysis of all QTLs revealed two QTL clusters on LG07 (Cluster I) and LG19 (ClusterⅡ). These results provided a theoretical basis for both improvement of peanut yield and cloning of associated genes.

Key words: peanut, 100 pod weight, 100 seed weight, QTL

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