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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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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. |
format | Online Article Text |
id | pubmed-9700134 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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