Genetic basis of nitrogen use efficiency and yield stability across environments in winter rapeseed.
Genetic basis of nitrogen use efficiency and yield stability across environments in winter rapeseed.
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氮的遗传基础使用效率和在冬季菜籽环境中跨环境的产量稳定性。
DOI：
10.1186/s12863-016-0432-z
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发表时间：
2016-09-15
期刊：
影响因子：
2.9
通讯作者：
Nesi N
中科院分区：
文献类型：
--
作者：
Bouchet AS;Laperche A;Bissuel-Belaygue C;Baron C;Morice J;Rousseau-Gueutin M;Dheu JE;George P;Pinochet X;Foubert T;Maes O;Dugué D;Guinot F;Nesi N
氮素利用效率是一个重要的育种性状，可以通过改良来提高许多农业作物的可持续性。油菜是一种氮素利用率低的主要油料作物，其生产高度依赖于氮素投入。这一复杂性状可能对基因型×环境互作，特别是基因型×氮互作敏感。因此，在密集的试验网络下对不同油菜群体进行表型分析是研究该作物氮素利用效率的有效途径。本研究旨在确定与冬油菜产量相关的数量性状位点（QTL），并评估这些地区在不同氮素条件下的稳定性，以提高氮素利用效率。对两个多样性集和两个双单倍体群体进行了全基因组关联研究和连锁分析。对这些群体进行了密集的基因分型，并在多环境设计中对产量相关性状进行了评分，包括7个法国地点，6个生长季节（2009年至2014年）和2个氮营养水平（最佳与限制）。基因型×氮素互作很少，大部分QTL在氮素营养条件下保持稳定。为了进一步研究QTL与环境的互作，本研究通过对互作位点的遗传分析，确定了影响QTL与环境互作的基因组区域，并对影响QTL与环境互作的基因组区域进行了分析。鉴定了51个对产量相关性状的加性遗传控制有贡献的关键基因组区域，并研究了这些区域在基因组中的结构组织。结果表明，在本试验条件下，试验效应大于氮素营养水平对籽粒产量相关性状的影响。然而，油菜籽中确定了与产量相关的关键基因组区域，这些区域在不同环境下稳定。本文的在线版本（doi：10.1186/s12863-016-0432-z）包含补充材料，可供授权用户使用。
Nitrogen use efficiency is an important breeding trait that can be modified to improve the sustainability of many crop species used in agriculture. Rapeseed is a major oil crop with low nitrogen use efficiency, making its production highly dependent on nitrogen input. This complex trait is suspected to be sensitive to genotype × environment interactions, especially genotype × nitrogen interactions. Therefore, phenotyping diverse rapeseed populations under a dense network of trials is a powerful approach to study nitrogen use efficiency in this crop. The present study aimed to determine the quantitative trait loci (QTL) associated with yield in winter oilseed rape and to assess the stability of these regions under contrasting nitrogen conditions for the purpose of increasing nitrogen use efficiency. Genome-wide association studies and linkage analyses were performed on two diversity sets and two doubled-haploid populations. These populations were densely genotyped, and yield-related traits were scored in a multi-environment design including seven French locations, six growing seasons (2009 to 2014) and two nitrogen nutrition levels (optimal versus limited). Very few genotype × nitrogen interactions were detected, and a large proportion of the QTL were stable across nitrogen nutrition conditions. In contrast, strong genotype × trial interactions in which most of the QTL were specific to a single trial were found. To obtain further insight into the QTL × environment interactions, genetic analyses of ecovalence were performed to identify the genomic regions contributing to the genotype × nitrogen and genotype × trial interactions. Fifty-one critical genomic regions contributing to the additive genetic control of yield-associated traits were identified, and the structural organization of these regions in the genome was investigated. Our results demonstrated that the effect of the trial was greater than the effect of nitrogen nutrition levels on seed yield-related traits under our experimental conditions. Nevertheless, critical genomic regions associated with yield that were stable across environments were identified in rapeseed. The online version of this article (doi:10.1186/s12863-016-0432-z) contains supplementary material, which is available to authorized users.