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环境间开花时间的遗传结构与适应性

Genetic architecture and adaptation of flowering time among environments.

作者信息

Yan Wenjie, Wang Baosheng, Chan Emily, Mitchell-Olds Thomas

机构信息

College of Marine Life Sciences, Ocean University of China, Qingdao, 266003, China.

Department of Biology, Duke University, Box 90338, Durham, NC, 27708, USA.

出版信息

New Phytol. 2021 May;230(3):1214-1227. doi: 10.1111/nph.17229. Epub 2021 Feb 25.

Abstract

The genetic basis of flowering time changes across environments, and pleiotropy may limit adaptive evolution of populations in response to local conditions. However, little information is known about how genetic architecture changes among environments. We used genome-wide association studies (GWAS) in Boechera stricta (Graham) Al-Shehbaz, a relative of Arabidopsis, to examine flowering variation among environments and associations with climate conditions in home environments. Also, we used molecular population genetics to search for evidence of historical natural selection. GWAS found 47 significant quantitative trait loci (QTLs) that influence flowering time in one or more environments, control plastic changes in phenology between experiments, or show associations with climate in sites of origin. Genetic architecture of flowering varied substantially among environments. We found that some pairs of QTLs showed similar patterns of pleiotropy across environments. A large-effect QTL showed molecular signatures of adaptive evolution and is associated with climate in home environments. The derived allele at this locus causes later flowering and predominates in sites with greater water availability. This work shows that GWAS of climate associations and ecologically important traits across diverse environments can be combined with molecular signatures of natural selection to elucidate ecological genetics of adaptive evolution.

摘要

开花时间的遗传基础会随环境变化,而基因多效性可能会限制种群对当地条件的适应性进化。然而,关于基因结构如何在不同环境间变化,我们所知甚少。我们利用拟南芥的近缘种——窄叶臂形草(Boechera stricta (Graham) Al-Shehbaz)进行全基因组关联研究(GWAS),以探究不同环境下的开花变异以及与原生环境气候条件的关联。此外,我们还运用分子群体遗传学来寻找历史自然选择的证据。GWAS发现了47个显著的数量性状位点(QTL),这些位点在一种或多种环境中影响开花时间,控制实验间物候的可塑性变化,或在原生地表现出与气候的关联。开花的基因结构在不同环境间有很大差异。我们发现一些QTL对在不同环境中表现出相似的基因多效性模式。一个具有较大效应的QTL显示出适应性进化的分子特征,并且与原生环境的气候相关。该位点的衍生等位基因导致开花延迟,且在水资源更丰富的地区占主导地位。这项研究表明,跨不同环境的气候关联和生态重要性状的GWAS可以与自然选择的分子特征相结合,以阐明适应性进化的生态遗传学。

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