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Large-scale genome-wide study reveals climate adaptive variability in a cosmopolitan pest.
Chen, Yanting; Liu, Zhaoxia; Régnière, Jacques; Vasseur, Liette; Lin, Jian; Huang, Shiguo; Ke, Fushi; Chen, Shaoping; Li, Jianyu; Huang, Jieling; Gurr, Geoff M; You, Minsheng; You, Shijun.
Afiliação
  • Chen Y; State Key Laboratory of Ecological Pest Control for Fujian-Taiwan Crops, Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
  • Liu Z; Joint International Research Laboratory of Ecological Pest Control, Ministry of Education, Fuzhou, 350002, China.
  • Régnière J; Key Laboratory of Integrated Pest Management for Fujian-Taiwan Crops, Ministry of Agriculture, Fuzhou, 350002, China.
  • Vasseur L; Institute of Plant Protection, Fujian Academy of Agricultural Sciences, Fuzhou, 350013, China.
  • Lin J; State Key Laboratory of Ecological Pest Control for Fujian-Taiwan Crops, Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
  • Huang S; Joint International Research Laboratory of Ecological Pest Control, Ministry of Education, Fuzhou, 350002, China.
  • Ke F; Key Laboratory of Integrated Pest Management for Fujian-Taiwan Crops, Ministry of Agriculture, Fuzhou, 350002, China.
  • Chen S; College of Oceanology and Food Science, Quanzhou Normal University, Quanzhou, 362000, China.
  • Li J; Natural Resources Canada, Canadian Forest Service, Quebec City, QC, G1V 4C7, Canada.
  • Huang J; State Key Laboratory of Ecological Pest Control for Fujian-Taiwan Crops, Institute of Applied Ecology, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
  • Gurr GM; Joint International Research Laboratory of Ecological Pest Control, Ministry of Education, Fuzhou, 350002, China.
  • You M; Department of Biological Sciences, Brock University, St. Catharines, ON, L2S 3A1, Canada.
  • You S; College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Nat Commun ; 12(1): 7206, 2021 12 10.
Article em En | MEDLINE | ID: mdl-34893609
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Adaptação Fisiológica / Clima / Estudo de Associação Genômica Ampla / Mariposas Idioma: En Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Adaptação Fisiológica / Clima / Estudo de Associação Genômica Ampla / Mariposas Idioma: En Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China