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基因组关联与表型和家庭环境的相干综合。

Coherent synthesis of genomic associations with phenotypes and home environments.

机构信息

Department of Biology, Pennsylvania State University, University Park, PA, USA.

Nicholas School of the Environment, Duke University, Durham, NC, USA.

出版信息

Mol Ecol Resour. 2018 Jan;18(1):91-106. doi: 10.1111/1755-0998.12714. Epub 2017 Sep 16.

Abstract

Local adaptation is often studied via (i) multiple common garden experiments comparing performance of genotypes in different environments and (ii) sequencing genotypes from multiple locations and characterizing geographic patterns in allele frequency. Both approaches aim to characterize the same pattern (local adaptation), yet the complementary information from each has not yet been coherently integrated. Here, we develop a genome-wide association model of genotype interactions with continuous environmental gradients (G × E), that is reaction norms. We present an approach to impute relative fitness, allowing us to coherently synthesize evidence from common garden and genome-environment associations. Our approach identifies loci exhibiting environmental clines where alleles are associated with higher fitness in home environments. Simulations show our approach can increase power to detect loci causing local adaptation. In a case study on Arabidopsis thaliana, most identified SNPs exhibited home allele advantage and fitness trade-offs along climate gradients, suggesting selective gradients can maintain allelic clines. SNPs exhibiting G × E associations with fitness were enriched in genic regions, putative partial selective sweeps and associations with an adaptive phenotype (flowering time plasticity). We discuss extensions for situations where only adaptive phenotypes other than fitness are available. Many types of data may point towards the loci underlying G × E and local adaptation; coherent models of diverse data provide a principled basis for synthesis.

摘要

本地适应通常通过以下两种方法进行研究

(i)多个比较不同环境下基因型表现的共同温室实验,以及(ii)对来自多个地点的基因型进行测序并描述等位基因频率的地理模式。这两种方法都旨在描述相同的模式(本地适应),但尚未将每种方法提供的互补信息进行一致地整合。在这里,我们开发了一种用于基因型与连续环境梯度(G×E)相互作用的全基因组关联模型,即反应规范。我们提出了一种估算相对适合度的方法,使我们能够一致地综合来自共同温室和基因组-环境关联的证据。我们的方法确定了表现出环境渐变的基因座,其中等位基因与在家居环境中的更高适应度相关。模拟表明,我们的方法可以提高检测导致本地适应的基因座的能力。在对拟南芥的案例研究中,大多数鉴定出的 SNP 表现出在家居等位基因优势和适应度沿着气候梯度的权衡,表明选择梯度可以维持等位基因渐变。与适应度呈 G×E 关联的 SNP 在基因区域、假定的部分选择清扫和与适应表型(开花时间可塑性)的关联中富集。我们讨论了在仅提供适应度以外的适应性表型的情况下的扩展情况。许多类型的数据可能指向 G×E 和本地适应的潜在基因座;多种数据的一致模型为综合提供了一个有原则的基础。

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