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Integrated network analyses identify MYB4R1 neofunctionalization in the UV-B adaptation of Tartary buckwheat

A hallmark of adaptive evolution is innovation in gene function, which is associated with the development of distinct roles for genes during plant evolution; however, assessing functional innovation over long periods of time is not trivial. Tartary buckwheat (Fagopyrum tataricum) originated in the H...

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Autores principales: Liu, Moyang, Sun, Wenjun, Ma, Zhaotang, Guo, Chaocheng, Chen, Jiahao, Wu, Qi, Wang, Xiyin, Chen, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9700134/
https://www.ncbi.nlm.nih.gov/pubmed/35923114
http://dx.doi.org/10.1016/j.xplc.2022.100414
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author Liu, Moyang
Sun, Wenjun
Ma, Zhaotang
Guo, Chaocheng
Chen, Jiahao
Wu, Qi
Wang, Xiyin
Chen, Hui
author_facet Liu, Moyang
Sun, Wenjun
Ma, Zhaotang
Guo, Chaocheng
Chen, Jiahao
Wu, Qi
Wang, Xiyin
Chen, Hui
author_sort Liu, Moyang
collection PubMed
description A hallmark of adaptive evolution is innovation in gene function, which is associated with the development of distinct roles for genes during plant evolution; however, assessing functional innovation over long periods of time is not trivial. Tartary buckwheat (Fagopyrum tataricum) originated in the Himalayan region and has been exposed to intense UV-B radiation for a long time, making it an ideal species for studying novel UV-B response mechanisms in plants. Here, we developed a workflow to obtain a co-functional network of UV-B responses using data from more than 10,000 samples in more than 80 projects with multi-species and multi-omics data. Dissecting the entire network revealed that flavonoid biosynthesis was most significantly related to the UV-B response. Importantly, we found that the regulatory factor MYB4R1, which resides at the core of the network, has undergone neofunctionalization. In vitro and in vivo experiments demonstrated that MYB4R1 regulates flavonoid and anthocyanin accumulation in response to UV-B in buckwheat by binding to L-box motifs in the FtCHS, FtFLS, and FtUFGT promoters. We used deep learning to develop a visual discrimination model of buckwheat flavonoid content based on natural populations exposed to global UV-B radiation. Our study highlights the critical role of gene neofunctionalization in UV-B adaptation.
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spelling pubmed-97001342022-11-27 Integrated network analyses identify MYB4R1 neofunctionalization in the UV-B adaptation of Tartary buckwheat Liu, Moyang Sun, Wenjun Ma, Zhaotang Guo, Chaocheng Chen, Jiahao Wu, Qi Wang, Xiyin Chen, Hui Plant Commun Research Article A hallmark of adaptive evolution is innovation in gene function, which is associated with the development of distinct roles for genes during plant evolution; however, assessing functional innovation over long periods of time is not trivial. Tartary buckwheat (Fagopyrum tataricum) originated in the Himalayan region and has been exposed to intense UV-B radiation for a long time, making it an ideal species for studying novel UV-B response mechanisms in plants. Here, we developed a workflow to obtain a co-functional network of UV-B responses using data from more than 10,000 samples in more than 80 projects with multi-species and multi-omics data. Dissecting the entire network revealed that flavonoid biosynthesis was most significantly related to the UV-B response. Importantly, we found that the regulatory factor MYB4R1, which resides at the core of the network, has undergone neofunctionalization. In vitro and in vivo experiments demonstrated that MYB4R1 regulates flavonoid and anthocyanin accumulation in response to UV-B in buckwheat by binding to L-box motifs in the FtCHS, FtFLS, and FtUFGT promoters. We used deep learning to develop a visual discrimination model of buckwheat flavonoid content based on natural populations exposed to global UV-B radiation. Our study highlights the critical role of gene neofunctionalization in UV-B adaptation. Elsevier 2022-08-02 /pmc/articles/PMC9700134/ /pubmed/35923114 http://dx.doi.org/10.1016/j.xplc.2022.100414 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Liu, Moyang
Sun, Wenjun
Ma, Zhaotang
Guo, Chaocheng
Chen, Jiahao
Wu, Qi
Wang, Xiyin
Chen, Hui
Integrated network analyses identify MYB4R1 neofunctionalization in the UV-B adaptation of Tartary buckwheat
title Integrated network analyses identify MYB4R1 neofunctionalization in the UV-B adaptation of Tartary buckwheat
title_full Integrated network analyses identify MYB4R1 neofunctionalization in the UV-B adaptation of Tartary buckwheat
title_fullStr Integrated network analyses identify MYB4R1 neofunctionalization in the UV-B adaptation of Tartary buckwheat
title_full_unstemmed Integrated network analyses identify MYB4R1 neofunctionalization in the UV-B adaptation of Tartary buckwheat
title_short Integrated network analyses identify MYB4R1 neofunctionalization in the UV-B adaptation of Tartary buckwheat
title_sort integrated network analyses identify myb4r1 neofunctionalization in the uv-b adaptation of tartary buckwheat
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9700134/
https://www.ncbi.nlm.nih.gov/pubmed/35923114
http://dx.doi.org/10.1016/j.xplc.2022.100414
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