利用回交导入系群体定位大豆蛋白质含量与脂肪含量QTL
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国家自然科学基金项目(面上项目,重点项目,重大项目),中国科学院知识创新项目


Detection of Soybean Protein and Oil Content QTL with Backcross Introgression Lines
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    摘要:

    对大豆的蛋白质含量和脂肪含量进行QTL定位,可为其分子标记辅助育种提供依据。以回交导入系群体中黄13×中黄20的BC2F5的100个家系为材料,分析群体的SSR标记多态性,采用近红外光谱分析技术测定群体蛋白质含量和脂肪含量。构建了一张涵盖大豆20个连锁群、总长为948.01 cM、平均遗传距离为8.78 cM、包含108个SSR标记的大豆遗传连锁图谱。共检测到与蛋白质含量相关的QTL 5个,与脂肪含量相关的QTL 9个,其中Satt445~Sat_303连续两年被检测到与脂肪含量相关,Satt445~Sat_303与Satt543~Satt574均被检测到与蛋白质含量和脂肪含量相关,Sat_389~Satt590、Satt238~Satt388及Satt685~Sat_381均与脂肪含量相关。

    Abstract:

    Quantitative trait loci (QTL) analysis of protein content and oil content in Soybean is providing the theoretical basis for quality breeding of higher content of the protein and oil. There were 100 BC2 lines of backcross introgression lines from Zhonghuang 13 and Zhonghuang 20. SSR marker polymorphism of the population of BC2F5 was analysed. The protein content and oil content were measured by near infrared spectroscopy. A linkage map including 20 linkage groups with a total length of 948.01 cM and an average genetic distance of 8.78 cM with a total of 108 SSR markers was constructed. 5 QTLs related to protein content and 9 QTLs related to oil content were detected, including Satt445-Sat_303 for oil content detected in two years and Satt445-Sat_303 and Satt543-Satt574 for protein content and oil content detected in the same year, Sat_389-Satt590, Satt238-Satt388 and Satt685-Sat_381 for oil content.

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朱明月,韩粉霞,孙君明,等.利用回交导入系群体定位大豆蛋白质含量与脂肪含量QTL[J].植物遗传资源学报,2017,18(6):1204-1209.

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  • 收稿日期:2017-02-28
  • 最后修改日期:2017-04-14
  • 录用日期:2017-04-17
  • 在线发布日期: 2017-11-01
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