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An eco-evo-devo genetic network model of stress response
The capacity of plants to resist abiotic stresses is of great importance to agricultural, ecological and environmental sustainability, but little is known about its genetic underpinnings. Existing genetic tools can identify individual genetic variants mediating biochemical, physiological, and cellul...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9433980/ https://www.ncbi.nlm.nih.gov/pubmed/36061617 http://dx.doi.org/10.1093/hr/uhac135 |
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author | Feng, Li Dong, Tianyu Jiang, Peng Yang, Zhenyu Dong, Ang Xie, Shang-Qian Griffin, Christopher H Wu, Rongling |
author_facet | Feng, Li Dong, Tianyu Jiang, Peng Yang, Zhenyu Dong, Ang Xie, Shang-Qian Griffin, Christopher H Wu, Rongling |
author_sort | Feng, Li |
collection | PubMed |
description | The capacity of plants to resist abiotic stresses is of great importance to agricultural, ecological and environmental sustainability, but little is known about its genetic underpinnings. Existing genetic tools can identify individual genetic variants mediating biochemical, physiological, and cellular defenses, but fail to chart an overall genetic atlas behind stress resistance. We view stress response as an eco-evo-devo process by which plants adaptively respond to stress through complex interactions of developmental canalization, phenotypic plasticity, and phenotypic integration. As such, we define and quantify stress response as the developmental change of adaptive traits from stress-free to stress-exposed environments. We integrate composite functional mapping and evolutionary game theory to reconstruct omnigenic, information-flow interaction networks for stress response. Using desert-adapted Euphrates poplar as an example, we infer salt resistance-related genome-wide interactome networks and trace the roadmap of how each SNP acts and interacts with any other possible SNPs to mediate salt resistance. We characterize the previously unknown regulatory mechanisms driving trait variation; i.e. the significance of a SNP may be due to the promotion of positive regulators, whereas the insignificance of a SNP may result from the inhibition of negative regulators. The regulator-regulatee interactions detected are not only experimentally validated by two complementary experiments, but also biologically interpreted by their encoded protein–protein interactions. Our eco-evo-devo model of genetic interactome networks provides an approach to interrogate the genetic architecture of stress response and informs precise gene editing for improving plants’ capacity to live in stress environments. |
format | Online Article Text |
id | pubmed-9433980 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-94339802022-09-01 An eco-evo-devo genetic network model of stress response Feng, Li Dong, Tianyu Jiang, Peng Yang, Zhenyu Dong, Ang Xie, Shang-Qian Griffin, Christopher H Wu, Rongling Hortic Res Method The capacity of plants to resist abiotic stresses is of great importance to agricultural, ecological and environmental sustainability, but little is known about its genetic underpinnings. Existing genetic tools can identify individual genetic variants mediating biochemical, physiological, and cellular defenses, but fail to chart an overall genetic atlas behind stress resistance. We view stress response as an eco-evo-devo process by which plants adaptively respond to stress through complex interactions of developmental canalization, phenotypic plasticity, and phenotypic integration. As such, we define and quantify stress response as the developmental change of adaptive traits from stress-free to stress-exposed environments. We integrate composite functional mapping and evolutionary game theory to reconstruct omnigenic, information-flow interaction networks for stress response. Using desert-adapted Euphrates poplar as an example, we infer salt resistance-related genome-wide interactome networks and trace the roadmap of how each SNP acts and interacts with any other possible SNPs to mediate salt resistance. We characterize the previously unknown regulatory mechanisms driving trait variation; i.e. the significance of a SNP may be due to the promotion of positive regulators, whereas the insignificance of a SNP may result from the inhibition of negative regulators. The regulator-regulatee interactions detected are not only experimentally validated by two complementary experiments, but also biologically interpreted by their encoded protein–protein interactions. Our eco-evo-devo model of genetic interactome networks provides an approach to interrogate the genetic architecture of stress response and informs precise gene editing for improving plants’ capacity to live in stress environments. Oxford University Press 2022-06-07 /pmc/articles/PMC9433980/ /pubmed/36061617 http://dx.doi.org/10.1093/hr/uhac135 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nanjing Agricultural University https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Method Feng, Li Dong, Tianyu Jiang, Peng Yang, Zhenyu Dong, Ang Xie, Shang-Qian Griffin, Christopher H Wu, Rongling An eco-evo-devo genetic network model of stress response |
title | An eco-evo-devo genetic network model of stress response |
title_full | An eco-evo-devo genetic network model of stress response |
title_fullStr | An eco-evo-devo genetic network model of stress response |
title_full_unstemmed | An eco-evo-devo genetic network model of stress response |
title_short | An eco-evo-devo genetic network model of stress response |
title_sort | eco-evo-devo genetic network model of stress response |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9433980/ https://www.ncbi.nlm.nih.gov/pubmed/36061617 http://dx.doi.org/10.1093/hr/uhac135 |
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