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Wheat kernel dimensions: how do they contribute to kernel weight at an individual QTL level?

机译:小麦籽粒尺寸:它们如何在单个QTL水平上对籽粒重量做出贡献?

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摘要

Kernel dimensions (KD) contribute greatly to thousand-kernel weight (TKW) in wheat. In the present study, quantitative trait loci (QTL) for TKW, kernel length (KL), kernel width (KW) and kernel diameter ratio (KDR) were detected by both conditional and unconditional QTL mapping methods. Two related F8:9 recombinant inbred line (RIL) populations, comprising 485 and 229 lines, respectively, were used in this study, and the trait phenotypes were evaluated in four environments. Unconditional QTL mapping analysis detected 77 additive QTL for four traits in two populations. Of these, 24 QTL were verified in at least three trials, and five of them were major QTL, thus being of great value for marker assisted selection in breeding programmes. Conditional QTL mapping analysis, compared with unconditional QTL mapping analysis, resulted in reduction in the number of QTL for TKW due to the elimination of TKW variations caused by its conditional traits; based on which we first dissected genetic control system involved in the synthetic process between TKW and KD at an individual QTL level. Results indicated that, at the QTL level, KW had the strongest influence on TKW, followed by KL, and KDR had the lowest level contribution to TKW. In addition, the present study proved that it is not all-inclusive to determine genetic relationships of a pairwise QTL for two related/causal traits based on whether they were co-located. Thus, conditional QTL mapping method should be used to evaluate possible genetic relationships of two related/causal traits.
机译:内核尺寸(KD)极大地影响了小麦的千内核重量(TKW)。在本研究中,通过条件和非条件QTL定位方法检测了TKW的数量性状基因座(QTL),籽粒长度(KL),籽粒宽度(KW)和籽粒直径比(KDR)。本研究使用了两个相关的F8:9重组自交系(RIL)种群,分别包括485和229系,并在四个环境中评估了性状表型。无条件QTL定位分析检测到两个种群中四个性状的77个加成QTL。其中,至少有3个试验验证了24个QTL,其中5个是主要QTL,因此对于育种计划中的标记辅助选择具有重要价值。有条件的QTL映射分析与无条件的QTL映射分析相比,由于消除了TKW因其条件性状而引起的变异,因此减少了TKW的QTL数量。在此基础上,我们首先在单个QTL水平上剖析了TKW和KD之间合成过程中涉及的遗传控制系统。结果表明,在QTL级别上,KW对TKW的影响最大,其次是KL,而KDR对TKW的影响最低。另外,本研究证明,基于两个相关/因果特征是否成对定位来确定成对QTL的遗传关系不是全包的。因此,应使用条件性QTL定位方法来评估两个相关/因果性状的可能遗传关系。

著录项

  • 来源
    《Journal of Genetics》 |2011年第3期|p.409-425|共17页
  • 作者单位

    State Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, Taian Subcenter of National Wheat Improvement Center, College of Agronomy, Shandong Agricultural University, Taian, 271018, People’s Republic of China;

    State Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, Taian Subcenter of National Wheat Improvement Center, College of Agronomy, Shandong Agricultural University, Taian, 271018, People’s Republic of China;

    State Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, Taian Subcenter of National Wheat Improvement Center, College of Agronomy, Shandong Agricultural University, Taian, 271018, People’s Republic of China;

    State Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, Taian Subcenter of National Wheat Improvement Center, College of Agronomy, Shandong Agricultural University, Taian, 271018, Peo;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    wheat; kernel dimensions; thousand-kernel weight; conditional QTL mapping; genetic relationship;

    机译:小麦;籽粒大小;千粒重;条件QTL定位;遗传关系;

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