Unraveling the Complex Trait of Crop Yield With Quantitative Trait Loci Mapping in Brassica napus
Unraveling the Complex Trait of Crop Yield With Quantitative Trait Loci Mapping in Brassica napus
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DOI：
10.1534/genetics.109.101642
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发表时间：
2009-07-01
期刊：
影响因子：
3.3
通讯作者：
Meng, Jinling
中科院分区：
文献类型：
--
作者：
Shi, Jiaqin;Li, Ruiyuan;Meng, Jinling
产量是作物遗传改良中最重要、最复杂的性状。尽管对产量和产量相关性状的遗传基础进行了大量研究，但在每一个这样的实验中，产量的遗传结构和决定因素仍然是模棱两可的。最棘手的问题之一是基因和环境之间的相互作用。我们从10个自然环境和两个油菜相关群体中定位了85个影响种子产量的数量性状基因座(QTL)，以及8个产量相关性状的785个QTL。逐个性状的Meta分析显示，共有401个QTL，其中82.5%集中在111个多效性唯一QTL中，其中47个是相关的。为了种子产量。产量的遗传结构的复杂性，说明了产量QTL的多效性、综合性、变异性和可塑性。估计产量QTL的指标QTL和识别产量的潜在候选基因的思想为复杂性状的研究提供了方法学上的进步。
Yield is the most important and complex trait for the genetic improvement of crops. Although much research into the genetic basis of yield and yield-associated traits lifts been reported, in each such experiment the genetic architecture and determinants of yield have remained ambiguous. One of the most intractable problems is the interaction between genes and the environment. We identified 85 quantitative trait loci (QTL) for seed yield along with 785 QTL for eight yield-associated traits, from 10 natural environments and two related populations of rapeseed. A trait-by-trait meta-analysis revealed 401 consensus QTL, of which 82.5% were clustered mid integrated into 111 pleiotropic unique QTL by meta-analysis 47 of which were relevant. for seed yield. The complexity of the genetic architecture of yield was demonstrated, illustrating the pleiotropy, synthesis, variability, and plasticity of yield QTL. The idea of estimating indicator QTL for yield QTL and identifying potential candidate genes for yield provides an advance in methodology for complex traits.