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作物学报 ›› 2017, Vol. 43 ›› Issue (08): 1149-1160.doi: 10.3724/SP.J.1006.2017.01149

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

普通菜豆籽粒大小与形状的QTL定位

耿庆河,王兰芬,武晶,王述民*   

  1. 中国农业科学院作物科学研究所，北京 100081
  • 收稿日期:2016-12-21 修回日期:2017-04-20 出版日期:2017-08-12 网络出版日期:2017-04-27
  • 通讯作者: 王述民, E-mail: wangshumin@caas.cn
  • 基金资助:
    本研究由国家自然科学基金项目(31471559), 国家现代农业产业技术体系建设专项(CARS-09)和国家科技支撑计划项目(2013BAD01B03-18a)资助。

QTL Mapping for Seed Size and Shape in Common Bean

GENG Qing-He,WANG Lan-Fen,WU Jing,WANG Shu-Min*   

  1. Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China
  • Received:2016-12-21 Revised:2017-04-20 Published:2017-08-12 Published online:2017-04-27
  • Contact: Wang Shumin, E-mail: wangshumin@caas.cn
  • Supported by:
    This study was supported by the National Natural Science Foundation of China (3141559), the China Agriculture Research System (CARS-09), and the National Key Technology R&D Program of China (2013BAD01B05-2-4).

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摘要： 普通菜豆是世界上最重要的食用豆类作物之一，其籽粒大小和形状与产量及外观品质密切相关。本研究以来自安第斯基因库的大粒品种龙270709和来自中美基因库的小粒品种F5910配置杂交组合，获得的F2分离群体分别在哈尔滨大田与北京昌平温室种植，对百粒重、粒长、粒宽、粒厚、长宽比和长厚比6个籽粒性状进行了相关性分析和QTL定位。相关性分析表明，百粒重与粒长、粒宽、粒厚、长宽比、长厚比5个衡量籽粒大小和形状的性状均显著正相关。利用基于完备区间作图方法的IciMapping 4.1进行QTL定位，哈尔滨环境下定位到38个与百粒重、粒长、粒宽、粒厚、长宽比、长厚比相关的QTL，表型贡献率介于2.39%~17.37%之间，分布在除第1染色体外的其余10条染色体上；北京昌平环境下定位到21个上述性状的QTL，表型贡献率介于5.92%~22.53%之间，分布在第1、第3、第6、第7、第8、第9和第11染色体上。其中，百粒重QTLSW7与SW7’，SW6.1与SW6’，粒长QTLSL6.1与SL6.1’，粒厚QTLSH11与SH11’在2个环境下的标记区间重叠或者重合，SW7、SW6.1、SL6.1、SW6’和SL6.1’的表型贡献率在10%以上。

关键词: 普通菜豆, 籽粒大小, 粒形, 数量性状位点(QTL)

Abstract: Common bean is one of the most important food legumes worldwide. Seed size and shape have a great effect on yield and seed quality. This research used a F2 population derived from a cross of Andean cultivar Long 270709 ? Mesoamerican cultivar F5910 planted in Harbin, Heilongjiang and Beijing respectively to analyze the correlation among seed weight, seed length, seed width, seed height, seed length-to-width ratio and seed length-to-height ratio, and to detect QTL related to these traits. The correlation analysis showed that seed weight had a significant correlation with other traits related to seed size and shape. Software IciMapping 4.1 based on inclusive composite interval mapping was used to identify the additive QTL for seed size and shape. A total of 38 QTL were detected on 10 chromosomes except the first chromosome in Harbin environment with the PVE between 2.39% and 17.37%. A total of 21 QTL were detected on seven chromosomes (Chr.1, Chr.3, Chr.6, Chr.7, Chr.8, Chr.9, Chr.11) in Beijing environment with the PVE between 5.92% and 22.53%. Among them, four pairs of QTL were detected on the same marker interval, including seed weight QTL SW7 and SW7’, seed weight QTL SW6.1 and SW6’, seed length QTL SL6.1 and SL6.1’, and seed height QTL SH11 and SH11’. The PVE of SW7, SW6.1, SL6.1, SW6’, and SL6.1’ was larger than 10%.

Key words: Common bean, Seed size, Seed shape, Quantitative trait locus (QTL)

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