Cargando…
Large-scale genome-wide study reveals climate adaptive variability in a cosmopolitan pest
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...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8664911/ https://www.ncbi.nlm.nih.gov/pubmed/34893609 http://dx.doi.org/10.1038/s41467-021-27510-2 |
_version_ | 1784613940254212096 |
---|---|
author | 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 |
author_facet | 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 |
author_sort | Chen, Yanting |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8664911 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-86649112021-12-27 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 Nat Commun Article 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. Nature Publishing Group UK 2021-12-10 /pmc/articles/PMC8664911/ /pubmed/34893609 http://dx.doi.org/10.1038/s41467-021-27510-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article 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 Large-scale genome-wide study reveals climate adaptive variability in a cosmopolitan pest |
title | Large-scale genome-wide study reveals climate adaptive variability in a cosmopolitan pest |
title_full | Large-scale genome-wide study reveals climate adaptive variability in a cosmopolitan pest |
title_fullStr | Large-scale genome-wide study reveals climate adaptive variability in a cosmopolitan pest |
title_full_unstemmed | Large-scale genome-wide study reveals climate adaptive variability in a cosmopolitan pest |
title_short | Large-scale genome-wide study reveals climate adaptive variability in a cosmopolitan pest |
title_sort | large-scale genome-wide study reveals climate adaptive variability in a cosmopolitan pest |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8664911/ https://www.ncbi.nlm.nih.gov/pubmed/34893609 http://dx.doi.org/10.1038/s41467-021-27510-2 |
work_keys_str_mv | AT chenyanting largescalegenomewidestudyrevealsclimateadaptivevariabilityinacosmopolitanpest AT liuzhaoxia largescalegenomewidestudyrevealsclimateadaptivevariabilityinacosmopolitanpest AT regnierejacques largescalegenomewidestudyrevealsclimateadaptivevariabilityinacosmopolitanpest AT vasseurliette largescalegenomewidestudyrevealsclimateadaptivevariabilityinacosmopolitanpest AT linjian largescalegenomewidestudyrevealsclimateadaptivevariabilityinacosmopolitanpest AT huangshiguo largescalegenomewidestudyrevealsclimateadaptivevariabilityinacosmopolitanpest AT kefushi largescalegenomewidestudyrevealsclimateadaptivevariabilityinacosmopolitanpest AT chenshaoping largescalegenomewidestudyrevealsclimateadaptivevariabilityinacosmopolitanpest AT lijianyu largescalegenomewidestudyrevealsclimateadaptivevariabilityinacosmopolitanpest AT huangjieling largescalegenomewidestudyrevealsclimateadaptivevariabilityinacosmopolitanpest AT gurrgeoffm largescalegenomewidestudyrevealsclimateadaptivevariabilityinacosmopolitanpest AT youminsheng largescalegenomewidestudyrevealsclimateadaptivevariabilityinacosmopolitanpest AT youshijun largescalegenomewidestudyrevealsclimateadaptivevariabilityinacosmopolitanpest |