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棉花学报 ›› 2020, Vol. 32 ›› Issue (5): 463-471.doi: 10.11963/1002-7807.gyhyjw.202009

• 化学调控 • 上一篇    下一篇

棉花陆海回交自交系群体叶绿素含量性状QTL定位

耿延会1#,边盈盈1#,裴文锋1,刘国元1,吴嫚1,臧新山1,李丹1,李兴丽1,Zhang Jinfa2,于霁雯1*   

  1. 1.棉花生物学国家重点试验室/中国农业科学院棉花研究所/农业部棉花生物学与遗传育种重点试验室,河南 安阳455000;2.新墨西哥州立大学,新墨西哥州 拉斯克鲁塞斯88003,美国
  • 收稿日期:2020-04-13 出版日期:2020-09-15 发布日期:2020-10-09
  • 通讯作者: yujw666@hotmail.com
  • 作者简介:耿延会(1989―),女,硕士,13733183665@163.com; # 同等贡献
  • 基金资助:
    国家重点研发计划(2018YFD0100402;2018YFD0100300)

QTL Mapping of Chlorophyll Content in Gossypium hirsutum and Gossypium barbadense Backcross Inbred Lines

Geng Yanhui1#, Bian Yingying1#, Pei Wenfeng1, Liu Guoyuan1, Wu Man1, Zang Xinshan1, Li Dan1, Li Xingli1, Zhang Jinfa2, Yu Jiwen1*   

  1. 1.State Key Laboratory of Cotton Biology, Cotton Institute of the Chinese Academy of Agricultural Sciences, Key Laboratory of Cotton Genetic Improvement, Ministry of Agriculture, Anyang, Henan 455000, China. 2. New Mexico State University, Las Cruces, New Mexico 88003, USA
  • Received:2020-04-13 Online:2020-09-15 Published:2020-10-09

摘要: 【目的】对棉花叶片叶绿素含量数量性状位点(Quantitative trait loci, QTL)进行定位。【方法】以中36为轮回亲本与海7124配制的195个BC1F7家系为研究材料。根据本课题已构建的高密度遗传图谱,利用QTL IciMapping 4.1中的BIP(QTL mapping in bi-parental populations)和MET(QTL mapping for multi-enviromental trials)模型采用完备区间作图法(Inclusive composite interval mapping, ICIM)分别对初花期和结铃期基于Soil and Plant Analyzer Development(SPAD)读值的叶绿素含量进行QTL分析。【结果】检测到9个与叶绿素含量相关的QTLs分布在6条染色体上。其中,与初花期叶绿素含量显著相关的q-SPAD-A11-1与结铃期检测到的q-SPAD-A11-2具有较大重叠,表型贡献率分别为5.08%和5.75%;q-SPAD-D08-2位于D08染色体的48.71~53.65 Mb与前人定位结果相近。【结论】本研究首次鉴定的与叶绿素含量性状稳定相关q-SPAD-A11为叶绿素含量性状进一步的精细定位奠定了基础。

关键词: 数量性状; 叶绿素含量; 棉花; QTL定位

Abstract: [Objective] The purpose of this study was to map quantitative trait loci (QTL) related to chlorophyll content based on Soil and Plant Analyzer Development (SPAD) readings in cotton. [Method] The 195 BILs (Backcross Inbred Lines) were produced by a cross between Gossypium barbadense Hai 7124 and G. hirsutum CRI 36, using CRI 36 as the recurrent parent for backcrossing with F1 to produce BC1F1, followed by seven generations of selfing. The genetic linkage map was constructed in a previous study. QTLs of chlorophyll SPAD value in the first flowering and boll development stages were identified with inclusive composite interval mapping (ICIM) method of the BIP and MET models in IciMapping 4.1 software, respectively. [Result] In total, nine chlorophyll SPAD reading QTLs were identified on 6 chromosomes. The q-SPAD-A11-1 detected at the first flowering stage overlapped with q-SPAD-A11-2 detected at the boll development stage, contributing 5.08% and 5.75% of the phenotypic variation, respectively. The q-SPAD-D08-2 physical position ranged from 48.71 to 53.65 Mb on chromosome D08, which overlapped with a chlorophyll content QTL detected in a previous study. [Conclusion] The novel stable QTLs, q-SPAD-A11-1 and q-SPAD-A11-2 detected in this study provide an important piece of information for fine mapping chlorophyll content in cotton.

Key words: quantitative trait; chlorophyll content; cotton; QTL mapping