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Large-scale genome-wide study reveals climate adaptive variability in a cosmopolitan pest

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  • Yanting Chen

    (State Key Laboratory of Ecological Pest Control for Fujian-Taiwan Crops, Institute of Applied Ecology, Fujian Agriculture and Forestry University
    Joint International Research Laboratory of Ecological Pest Control, Ministry of Education
    Key Laboratory of Integrated Pest Management for Fujian-Taiwan Crops, Ministry of Agriculture
    Institute of Plant Protection, Fujian Academy of Agricultural Sciences)

  • Zhaoxia Liu

    (State Key Laboratory of Ecological Pest Control for Fujian-Taiwan Crops, Institute of Applied Ecology, Fujian Agriculture and Forestry University
    Joint International Research Laboratory of Ecological Pest Control, Ministry of Education
    Key Laboratory of Integrated Pest Management for Fujian-Taiwan Crops, Ministry of Agriculture
    College of Oceanology and Food Science, Quanzhou Normal University)

  • Jacques Régnière

    (Natural Resources Canada, Canadian Forest Service)

  • Liette Vasseur

    (State Key Laboratory of Ecological Pest Control for Fujian-Taiwan Crops, Institute of Applied Ecology, Fujian Agriculture and Forestry University
    Joint International Research Laboratory of Ecological Pest Control, Ministry of Education
    Department of Biological Sciences, Brock University)

  • Jian Lin

    (College of Computer and Information Sciences, Fujian Agriculture and Forestry University)

  • Shiguo Huang

    (College of Computer and Information Sciences, Fujian Agriculture and Forestry University)

  • Fushi Ke

    (State Key Laboratory of Ecological Pest Control for Fujian-Taiwan Crops, Institute of Applied Ecology, Fujian Agriculture and Forestry University
    Joint International Research Laboratory of Ecological Pest Control, Ministry of Education
    Key Laboratory of Integrated Pest Management for Fujian-Taiwan Crops, Ministry of Agriculture
    Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences)

  • Shaoping Chen

    (State Key Laboratory of Ecological Pest Control for Fujian-Taiwan Crops, Institute of Applied Ecology, Fujian Agriculture and Forestry University
    Joint International Research Laboratory of Ecological Pest Control, Ministry of Education
    Key Laboratory of Integrated Pest Management for Fujian-Taiwan Crops, Ministry of Agriculture
    Institute of Plant Protection, Fujian Academy of Agricultural Sciences)

  • Jianyu Li

    (State Key Laboratory of Ecological Pest Control for Fujian-Taiwan Crops, Institute of Applied Ecology, Fujian Agriculture and Forestry University
    Joint International Research Laboratory of Ecological Pest Control, Ministry of Education
    Key Laboratory of Integrated Pest Management for Fujian-Taiwan Crops, Ministry of Agriculture
    Institute of Plant Protection, Fujian Academy of Agricultural Sciences)

  • Jieling Huang

    (State Key Laboratory of Ecological Pest Control for Fujian-Taiwan Crops, Institute of Applied Ecology, Fujian Agriculture and Forestry University
    Joint International Research Laboratory of Ecological Pest Control, Ministry of Education
    Key Laboratory of Integrated Pest Management for Fujian-Taiwan Crops, Ministry of Agriculture)

  • Geoff M. Gurr

    (State Key Laboratory of Ecological Pest Control for Fujian-Taiwan Crops, Institute of Applied Ecology, Fujian Agriculture and Forestry University
    Joint International Research Laboratory of Ecological Pest Control, Ministry of Education
    Graham Centre, Charles Sturt University)

  • Minsheng You

    (State Key Laboratory of Ecological Pest Control for Fujian-Taiwan Crops, Institute of Applied Ecology, Fujian Agriculture and Forestry University
    Joint International Research Laboratory of Ecological Pest Control, Ministry of Education
    Key Laboratory of Integrated Pest Management for Fujian-Taiwan Crops, Ministry of Agriculture)

  • Shijun You

    (State Key Laboratory of Ecological Pest Control for Fujian-Taiwan Crops, Institute of Applied Ecology, Fujian Agriculture and Forestry University
    Joint International Research Laboratory of Ecological Pest Control, Ministry of Education
    Key Laboratory of Integrated Pest Management for Fujian-Taiwan Crops, Ministry of Agriculture)

Abstract

Understanding the genetic basis of climatic adaptation is essential for predicting species’ responses to climate change. However, intraspecific variation of these responses arising from local adaptation remains ambiguous for most species. Here, we analyze genomic data from diamondback moth (Plutella xylostella) collected from 75 sites spanning six continents to reveal that climate-associated adaptive variation exhibits a roughly latitudinal pattern. By developing an eco-genetic index that combines genetic variation and physiological responses, we predict that most P. xylostella populations have high tolerance to projected future climates. Using genome editing, a key gene, PxCad, emerged from our analysis as functionally temperature responsive. Our results demonstrate that P. xylostella is largely capable of tolerating future climates in most of the world and will remain a global pest beyond 2050. This work improves our understanding of adaptive variation along environmental gradients, and advances pest forecasting by highlighting the genetic basis for local climate adaptation.

Suggested Citation

  • Yanting Chen & Zhaoxia Liu & Jacques Régnière & Liette Vasseur & Jian Lin & Shiguo Huang & Fushi Ke & Shaoping Chen & Jianyu Li & Jieling Huang & Geoff M. Gurr & Minsheng You & Shijun You, 2021. "Large-scale genome-wide study reveals climate adaptive variability in a cosmopolitan pest," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-27510-2
    DOI: 10.1038/s41467-021-27510-2
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    References listed on IDEAS

    as
    1. Shouzhen Zeng & Wei Li & José M. Merigó, 2013. "Extended Induced Ordered Weighted Averaging Distance Operators And Their Application To Group Decision-Making," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 12(04), pages 789-811.
    2. Gergely Torda & Jennifer M. Donelson & Manuel Aranda & Daniel J. Barshis & Line Bay & Michael L. Berumen & David G. Bourne & Neal Cantin & Sylvain Foret & Mikhail Matz & David J. Miller & Aurelie Moya, 2017. "Rapid adaptive responses to climate change in corals," Nature Climate Change, Nature, vol. 7(9), pages 627-636, September.
    3. Minsheng You & Fushi Ke & Shijun You & Zhangyan Wu & Qingfeng Liu & Weiyi He & Simon W. Baxter & Zhiguang Yuchi & Liette Vasseur & Geoff M. Gurr & Christopher M. Ward & Hugo Cerda & Guang Yang & Lu Pe, 2020. "Variation among 532 genomes unveils the origin and evolutionary history of a global insect herbivore," Nature Communications, Nature, vol. 11(1), pages 1-8, December.
    4. Ligang Zhou & Huayou Chen & Jinpei Liu, 2013. "Generalized Multiple Averaging Operators and their Applications to Group Decision Making," Group Decision and Negotiation, Springer, vol. 22(2), pages 331-358, March.
    5. Detlef Vuuren & Jae Edmonds & Mikiko Kainuma & Keywan Riahi & Allison Thomson & Kathy Hibbard & George Hurtt & Tom Kram & Volker Krey & Jean-Francois Lamarque & Toshihiko Masui & Malte Meinshausen & N, 2011. "The representative concentration pathways: an overview," Climatic Change, Springer, vol. 109(1), pages 5-31, November.
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    Cited by:

    1. Yilin Chen & Zhiyong Jiang & Ping Fan & Per G. P. Ericson & Gang Song & Xu Luo & Fumin Lei & Yanhua Qu, 2022. "The combination of genomic offset and niche modelling provides insights into climate change-driven vulnerability," Nature Communications, Nature, vol. 13(1), pages 1-15, December.

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