Ingvarsson, Pär
- Department of Plant Biology, Swedish University of Agricultural Sciences
Research article2022Peer reviewedOpen access
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
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.
Nature Communications
2022, Volume: 13, article number: 6541Publisher: NATURE PORTFOLIO
SDG13 Climate action
SDG15 Life on land
Climate Research
Ecology
Genetics
DOI: https://doi.org/10.1038/s41467-022-34206-8
https://res.slu.se/id/publ/120008