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利用基因组关联分析和环境数据解析冷适应的多基因基础:以花旗松为例。

Dissecting the Polygenic Basis of Cold Adaptation Using Genome-Wide Association of Traits and Environmental Data in Douglas-fir.

机构信息

School of Forestry, Northern Arizona University, 200 E. Pine Knoll, Flagstaff, AZ 86011, USA.

Center for Computational Biology, Department of Biomedical Engineering, Computer Science and Biostatistics, John Hopkins University, 3100 Wyman Park Dr, Wyman Park Building, Room S220, Baltimore, MD 21211, USA.

出版信息

Genes (Basel). 2021 Jan 18;12(1):110. doi: 10.3390/genes12010110.

DOI:10.3390/genes12010110
PMID:33477542
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7831106/
Abstract

Understanding the genomic and environmental basis of cold adaptation is key to understand how plants survive and adapt to different environmental conditions across their natural range. Univariate and multivariate genome-wide association (GWAS) and genotype-environment association (GEA) analyses were used to test associations among genome-wide SNPs obtained from whole-genome resequencing, measures of growth, phenology, emergence, cold hardiness, and range-wide environmental variation in coastal Douglas-fir (). Results suggest a complex genomic architecture of cold adaptation, in which traits are either highly polygenic or controlled by both large and small effect genes. Newly discovered associations for cold adaptation in Douglas-fir included 130 genes involved in many important biological functions such as primary and secondary metabolism, growth and reproductive development, transcription regulation, stress and signaling, and DNA processes. These genes were related to growth, phenology and cold hardiness and strongly depend on variation in environmental variables such degree days below 0c, precipitation, elevation and distance from the coast. This study is a step forward in our understanding of the complex interconnection between environment and genomics and their role in cold-associated trait variation in boreal tree species, providing a baseline for the species' predictions under climate change.

摘要

理解低温适应的基因组和环境基础对于了解植物如何在其自然分布范围内生存和适应不同的环境条件至关重要。使用单变量和多变量全基因组关联 (GWAS) 和基因型-环境关联 (GEA) 分析来测试从全基因组重测序获得的全基因组 SNPs 与生长、物候、出现、耐寒性和沿海道格拉斯冷杉 (Pseudotsuga menziesii var. menziesii) 全范围环境变异之间的关联。结果表明,低温适应的基因组结构复杂,其中性状要么高度多基因控制,要么受大、小效应基因控制。在道格拉斯冷杉中发现的与低温适应相关的新关联包括 130 个基因,这些基因参与许多重要的生物学功能,如初级和次级代谢、生长和生殖发育、转录调控、应激和信号转导以及 DNA 过程。这些基因与生长、物候和耐寒性有关,并且强烈依赖于环境变量的变化,如 0°C 以下的度日数、降水、海拔和距海岸的距离。这项研究是我们理解环境和基因组之间复杂相互关系及其在北方树种与寒冷相关性状变异中的作用的一个重要步骤,为该物种在气候变化下的预测提供了一个基线。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9965/7831106/7b05d7be15aa/genes-12-00110-g003.jpg
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