Evidence map›Paper›PMID 35923114›Full record

ArticlePlant communications2022

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

Moyang Liu, Wenjun Sun, Zhaotang Ma, Chaocheng Guo, Jiahao Chen, Qi Wu, Xiyin Wang, Hui Chen

Abstract read
In one paragraph

Article in Plant communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
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  3. Review
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  5. Genomic Analysis ofJournal of fungi (Basel, Switzerland) · 2025
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  8. Molecular underpinnings ofPhysiology and molecular biology of plants : an international journal of functional plant biology · 2025
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  9. Article
  10. Article
  11. Metabolomic Analysis ofMolecules (Basel, Switzerland) · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. UV-B promotes flavonoid biosynthesis inHorticulture research · 2023
    Article
  16. Light-Induced Flavonoid Biosynthesis inPlants (Basel, Switzerland) · 2023
    Article
  17. Phenotyping ofPlant phenomics (Washington, D.C.) · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Moyang LiuCollege of Life Science, Sichuan Agricultural University, Ya'an 625014, China; Joint Center for Single Cell Biology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China; Shanghai Collaborative Innovation Center of Agri-Seeds/School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.
Wenjun SunCollege of Life Science, Sichuan Agricultural University, Ya'an 625014, China.
Zhaotang MaCollege of Life Science, Sichuan Agricultural University, Ya'an 625014, China; State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Key Laboratory of Major Crop Diseases and Rice Research Institute, Sichuan Agricultural University, Chengdu 611130, China.
Chaocheng GuoJoint Center for Single Cell Biology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China; Shanghai Collaborative Innovation Center of Agri-Seeds/School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.
Jiahao ChenJoint Center for Single Cell Biology, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China; Shanghai Collaborative Innovation Center of Agri-Seeds/School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.
Qi WuCollege of Life Science, Sichuan Agricultural University, Ya'an 625014, China.
Xiyin WangSchool of Life Science, North China University of Science and Technology, Tangshan 063210, China. Electronic address: wangxiyin@vip.sina.com.
Hui ChenCollege of Life Science, Sichuan Agricultural University, Ya'an 625014, China. Electronic address: chenhui@sicau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

FagopyrumFlavonoidsGene Expression Regulation, PlantPhylogenyPlant ProteinsPlantsFlavonoidsPlant Proteinsdeep learningMYBneofunctionalizationTartary buckwheatUV-B radiation

Identifiers

PMID35923114
PMCPMC9700134

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.