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作物学报 ›› 2014, Vol. 40 ›› Issue (08): 1386-1391.doi: 10.3724/SP.J.1006.2014.01386

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

利用SNP高密度遗传连锁图谱定位甘蓝型油菜种子硫苷含量的QTL

荐红举,魏丽娟,李加纳,徐新福,谌利,刘列钊*   

  1. 西南大学农学与生物科技学院 / 重庆市油菜工程技术研究中心, 重庆 400716
  • 收稿日期:2014-02-15 修回日期:2014-04-16 出版日期:2014-08-12 网络出版日期:2014-06-03
  • 通讯作者: liezhao2003@126.com, Tel: 023-68250701
  • 基金资助:

    This research was supported by The National Natural Science Foundation of China (No. 31171584), The Chongqing Natural Science Foundation (No.cstc2011jjA8000g), and The Program of Introducing International Super Agricultural Science and Technology (948 Program) (No.2011-G23).

Quantitative Traits Loci Analysis of Seed Glucosinolate Content in Brassica napus Using High-density SNP Map

JIAN Hong-Ju,WEI Li-Juan,LI Jia-Na,XU Xin-Fu,CHEN Li,LIU Lie-Zhao*   

  1. Chongqing Engineering Research Center for Rapeseed / College of Agronomy and Biotechnology, Southwest University, Chongqing 400716, China
  • Received:2014-02-15 Revised:2014-04-16 Published:2014-08-12 Published online:2014-06-03
  • Supported by:

    This research was supported by The National Natural Science Foundation of China (No. 31171584), The Chongqing Natural Science Foundation (No.cstc2011jjA8000g), and The Program of Introducing International Super Agricultural Science and Technology (948 Program) (No.2011-G23).

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摘要：

种子硫苷在甘蓝型油菜中有着重要的生物学作用和经济价值。本文旨在通过复合区间作图法利用高密度SNP遗传连锁图谱定位种子硫苷的QTL。用近红外扫描获得种子硫苷含量，每株系扫描3次，取平均值。所用的高密度SNP遗传图谱包含2795个SNP多态性标记位点，图谱总长1832.9 cM，相邻标记间平均距离为0.66 cM。定位了2年的种子硫苷含量QTL，其中有5个在2年内被重复检测到，分别分布在A03、A09和C02染色体上，LOD阈值在2.90~10.40之间。这些QTL在2011和2012年试验中分别解释了56.9%和55.1%的表型变异。另外有5个QTL仅在其中一年被检测到，这些QTL能够解释4.1%~7.9%的表型变异，QTL阈值在2.53~3.83之间。

关键词: 甘蓝型油菜, 单核苷酸多态性, 数量性状位点, 种子硫苷含量

Abstract:

Seed glucosinolate plays important biological and economic roles in Brassica napus. In this study, we aimed at identifying QTLs related to seed glucosinolate content of B. napus using the composite interval mapping (CIM) method based on the high density SNP genetic map. The total seed glucosinolate content was analyzed via Near Infrared Spectroscopy (NIR) using standard methods with three technical replicates. The QTLs related to seed glucosinolate content in two years were detected using the SNP genetic map constructed in 2013, which contains 2795 SNP markers with the total map length of 1832.9 cM and an average distance of 0.66 cM. Five QTLs for seed total glucosinolate content were identified on A03, A09, C02 in both 2011 and 2012, and LOD threshold values for significant QTLs both in 2011 and in 2012 were determined to be 2.90–10.4. These QTLs explained for 56.9% and 55.1% of the total phenotypic variance in 2011 and 2012, respectively. Another five minor QTLs were also detected either in 2011 or 2012. These QTLs accounted for 4.1%–7.9% of the phenotypic variance and the LOD threshold values were 2.53–3.83.

Key words: Brassica napus, Single nucleotide polymorphism, Quantitative trait loci, Seed glucosinolate content

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