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中国农学通报 ›› 2023, Vol. 39 ›› Issue (13): 19-24.doi: 10.11924/j.issn.1000-6850.casb2022-0330

• 生物科学 • 上一篇    下一篇

菜薹抽薹时间、开花时间QTL定位及候选基因分析

李桂花(), 符梅, 罗文龙, 骆善伟, 郭巨先()   

  1. 广东省农业科学院蔬菜研究所/广东省蔬菜新技术研究重点实验室,广州 510640
  • 收稿日期:2022-04-27 修回日期:2022-09-29 出版日期:2023-05-05 发布日期:2023-04-27
  • 通讯作者: 郭巨先,研究员,硕士,研究方向:主要从事特色蔬菜研究。通信地址:510640 广州市天河区五山金颖路66号 广东省农业科学院蔬菜研究所,Tel:020-85647264,E-mail:823522867@qq.com
  • 作者简介:

    李桂花,女,1975年出生,江西新干人,研究员,博士,研究方向:特色蔬菜育种。E-mail:

  • 基金资助:
    广州市科技计划项目(2023B03J1270); 广东省农业厅项目(2022-NBA-00-014); 广东省农业厅项目(2023KJ122); 国家外专局项目(QN2022030025L)

QTL Mapping and Candidate Gene Analysis for Bolting and Flowering Time of Flowering Chinese Cabbage

LI Guihua(), FU Mei, LUO Wenlong, LUO Shanwei, GUO Juxian()   

  1. Vegetable Research Institute, Guangdong Academy of Agricultural Sciences/ Guangdong Key Laboratory for New Technology Research of Vegetables, Guangzhou 510640
  • Received:2022-04-27 Revised:2022-09-29 Online:2023-05-05 Published:2023-04-27

摘要:

菜薹的抽薹天数和开花天数是数量性状,受多基因控制,同时该性状还受到多种环境因素(光照、温度、土壤、激素等)的影响,阐明菜心抽薹开花的分子遗传机制较为复杂。试验选用抽薹时间、开花时间天数差异大的2个高代自交系材料作为亲本进行杂交获得F2群体,取150株用于高密度遗传图谱的构建,结合田间性状调查并通过混合线性复合区间作图法分析,得出如下结果:利用北京百迈客生物科技有限公司简化基因组测序技术构建了包含4253个位点、10940个SNP标记、图谱总长1030.04 cM的高密度分子遗传图谱,获得抽薹时间、开花时间的QTL共4个,用生物信息学筛选到了一些候选基因。在主效QTL区域内筛选到3个相关候选基因(Bra004125、Bra004162、Bra004165),其控制花器官的形成,并且与诱导植物早期开花的不同信号传导途径相互作用。

关键词: 菜薹, 遗传图谱, QTL定位, 抽薹开花时间, 候选基因分析

Abstract:

Bolting and flowering days are the two critical quantitative traits of flowering Chinese cabbage, at the same time, these traits are also affected by various environmental factors (temperature, light, soil, hormones, etc.), so clarifying the molecular genetic mechanism of the bolting and flowering process of flowering Chinese cabbage is quite difficult. In this experiment, two plant materials with significant differences in bolting and flowering days were selected as parents for crossbreeding. A total of 150 lines were selected from the F2 population for genetic map construction. The map constructed contained 4253 loci, representing 10940 single nucleotide polymorphism (SNP) markers spanning 1030.04 centi Morgans (cM) over 10 linkage groups (LGs). A total of 4 QTLs for bolting time and flowering time were obtained. Mixed linear composite interval mapping method was used to conduct QTL analysis for bolting and flowering traits of flowering Chinese cabbage, and bioinformatics was applied to identify some candidate genes. Three candidate genes (Bra004125, Bra004162 and Bra004165) were identified in the main QTL regions, which could control the formation of floral organs and interact with multiple signaling pathways that induce early flowering in plants.

Key words: flowering Chinese cabbage, genetic map, QTL mapping, bolting and flowering time, candidate gene analysis