Skip to main content
Research article - Peer-reviewed, 2022

Genomic insights into local adaptation and future climate-induced vulnerability of a keystone forest tree in East Asia

Sang, Yupeng; Long, Zhiqin; Dan, Xuming; Feng, Jiajun; Shi, Tingting; Jia, Changfu; Zhang, Xinxin; Lai, Qiang; Yang, Guanglei; Zhang, Hongying; Xu, Xiaoting; Liu, Huanhuan; Jiang, Yuanzhong; Ingvarsson, Par K.; Liu, Jianquan; Mao, Kangshan; Wang, Jing

Abstract

Assessment of population vulnerability and adaptive capacity under climate change is crucial for informing conservation strategies. Sang et al. assemble a reference genome for Populus koreana and combine population genomics and modelling to predict spatiotemporal responses to climate change.Rapid global climate change is posing a substantial threat to biodiversity. The assessment of population vulnerability and adaptive capacity under climate change is crucial for informing conservation and mitigation strategies. Here we generate a chromosome-scale genome assembly and re-sequence genomes of 230 individuals collected from 24 populations for Populus koreana, a pioneer and keystone tree species in temperate forests of East Asia. We integrate population genomics and environmental variables to reveal a set of climate-associated single-nucleotide polymorphisms, insertion/deletions and structural variations, especially numerous adaptive non-coding variants distributed across the genome. We incorporate these variants into an environmental modeling scheme to predict a highly spatiotemporal shift of this species in response to future climate change. We further identify the most vulnerable populations that need conservation priority and many candidate genes and variants that may be useful for forest tree breeding with special aims. Our findings highlight the importance of integrating genomic and environmental data to predict adaptive capacity of a key forest to rapid climate change in the future.

Published in

Nature Communications
2022, volume: 13, article number: 6541
Publisher: NATURE PORTFOLIO

Authors' information

Sang, Yupeng
Sichuan University
Long, Zhiqin
Sichuan University
Dan, Xuming
Sichuan University
Feng, Jiajun
Sichuan University
Shi, Tingting
Sichuan University
Jia, Changfu
Sichuan University
Zhang, Xinxin
Sichuan University
Lai, Qiang
Sichuan University
Yang, Guanglei
Sichuan University
Zhang, Hongying
Sichuan University
Xu, Xiaoting
Sichuan University
Liu, Huanhuan
Sichuan University
Jiang, Yuanzhong
Sichuan University
Swedish University of Agricultural Sciences, Department of Plant Biology
Liu, Jianquan
Sichuan University
Mao, Kangshan
Sichuan University
Wang, Jing
Sichuan University

UKÄ Subject classification

Climate Research
Ecology
Genetics

Publication Identifiers

DOI: https://doi.org/10.1038/s41467-022-34206-8

URI (permanent link to this page)

https://res.slu.se/id/publ/120008