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

Author

Listed:
  • Yupeng Sang

    (Sichuan University)

  • Zhiqin Long

    (Sichuan University)

  • Xuming Dan

    (Sichuan University)

  • Jiajun Feng

    (Sichuan University)

  • Tingting Shi

    (Sichuan University)

  • Changfu Jia

    (Sichuan University)

  • Xinxin Zhang

    (Sichuan University)

  • Qiang Lai

    (Sichuan University)

  • Guanglei Yang

    (Sichuan University)

  • Hongying Zhang

    (Sichuan University)

  • Xiaoting Xu

    (Sichuan University)

  • Huanhuan Liu

    (Sichuan University)

  • Yuanzhong Jiang

    (Sichuan University)

  • Pär K. Ingvarsson

    (Swedish University of Agricultural Sciences)

  • Jianquan Liu

    (Sichuan University)

  • Kangshan Mao

    (Sichuan University)

  • Jing Wang

    (Sichuan University)

Abstract

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.

Suggested Citation

  • Yupeng Sang & Zhiqin Long & Xuming Dan & Jiajun Feng & Tingting Shi & Changfu Jia & Xinxin Zhang & Qiang Lai & Guanglei Yang & Hongying Zhang & Xiaoting Xu & Huanhuan Liu & Yuanzhong Jiang & Pär K. In, 2022. "Genomic insights into local adaptation and future climate-induced vulnerability of a keystone forest tree in East Asia," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-34206-8
    DOI: 10.1038/s41467-022-34206-8
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    References listed on IDEAS

    as
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