Genomic vulnerability to climate change in Quercus acutissima, a dominant tree species in East Asian deciduous forests

被引:22
作者
Yuan, Shuai [1 ,2 ,3 ]
Shi, Yong [1 ,2 ,3 ]
Zhou, Biao-Feng [1 ,2 ,3 ]
Liang, Yi-Ye [1 ,2 ,3 ]
Chen, Xue-Yan [1 ,2 ,3 ]
An, Qing-Qing [1 ,2 ,3 ]
Fan, Yan-Ru [1 ,2 ,3 ]
Shen, Zhao [1 ,2 ,3 ]
Ingvarsson, Par K. [4 ]
Wang, Baosheng [1 ,2 ,3 ,5 ]
机构
[1] Chinese Acad Sci, Key Lab Plant Resources Conservat & Sustainable Ut, South China Bot Garden, Guangzhou, Peoples R China
[2] Guangdong Prov Key Lab Appl Bot, Guangzhou, Peoples R China
[3] South China Natl Bot Garden, Guangzhou, Peoples R China
[4] Swedish Univ Agr Sci, Linnean Ctr Plant Biol, Dept Plant Biol, Uppsala Bioctr, Uppsala, Sweden
[5] Chinese Acad Sci, Key Lab Plant Resources Conservat & Sustainable Ut, South China Bot Garden, Guangzhou 510650, Peoples R China
基金
中国国家自然科学基金;
关键词
demographic history; genetic offset; genomic variation; oak; polygenic adaptation; GENETIC-STRUCTURE; LOCAL ADAPTATION; BACKGROUND SELECTION; POPULATION; LANDSCAPE; ASSOCIATION; DIVERGENCE; NUMBER; DIFFERENTIATION; INTROGRESSION;
D O I
10.1111/mec.16843
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Understanding the evolutionary processes that shape the landscape of genetic variation and influence the response of species to future climate change is critical for biodiversity conservation. Here, we sampled 27 populations across the distribution range of a dominant forest tree, Quercus acutissima, in East Asia, and applied genome-wide analyses to track the evolutionary history and predict the fate of populations under future climate. We found two genetic groups (East and West) in Q. acutissima that diverged during Pliocene. We also found a heterogeneous landscape of genomic variation in this species, which may have been shaped by population demography and linked selections. Using genotype-environment association analyses, we identified climate-associated SNPs in a diverse set of genes and functional categories, indicating a model of polygenic adaptation in Q. acutissima. We further estimated three genetic offset metrics to quantify genomic vulnerability of this species to climate change due to the complex interplay between local adaptation and migration. We found that marginal populations are under higher risk of local extinction because of future climate change, and may not be able to track suitable habitats to maintain the gene-environment relationships observed under the current climate. We also detected higher reverse genetic offsets in northern China, indicating that genetic variation currently present in the whole range of Q. acutissima may not adapt to future climate conditions in this area. Overall, this study illustrates how evolutionary processes have shaped the landscape of genomic variation, and provides a comprehensive genome-wide view of climate maladaptation in Q. acutissima.
引用
收藏
页码:1639 / 1655
页数:17
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