Evidence map›Paper›PMID 41184542›Full record

ArticleNature genetics2025

Integrated metabolomic and transcriptomic analyses identify MYB genes regulating key metabolites and agronomic traits in upland cotton Gossypium hirsutum.

Xiaomeng Zhang, Xinquan Tian, Xueke Gao, Gaofei Sun, Zhen Peng, Xiaoli Geng, Jun Peng, Panhong Dai, Xiao Wang, Hongge Li and 17 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Natural variation inScience advances · 2026
    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

27 authors.

Xiaomeng Zhang *State Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Xinquan Tian *State Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Xueke Gao *State Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Gaofei SunAnyang Institute of Technology, Anyang, China.ORCID http://orcid.org/0000-0003-4975-9846
Zhen PengState Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.ORCID http://orcid.org/0000-0001-6723-3819
Xiaoli GengState Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Jun PengState Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.ORCID http://orcid.org/0000-0001-9731-779X
Panhong DaiAnyang Institute of Technology, Anyang, China.ORCID http://orcid.org/0000-0002-0923-4335
Xiao WangState Key Laboratory of Crop Stress Adaptation and Improvement, Henan Joint International Laboratory for Crop Multi-Omics Research, School of Life Sciences, Henan University, Kaifeng, China.
Hongge LiState Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Zhenzhen WangState Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Zhaoe PanState Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.ORCID http://orcid.org/0000-0001-6324-8650
Yinhua JiaState Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.ORCID http://orcid.org/0000-0001-6201-0296
Baojun ChenState Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Daowu HuState Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Liru WangState Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Baoyin PangState Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Aishuang XingState Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Shuai LuNational Supercomputing Center in Zhengzhou, Zhengzhou University, Zhengzhou, China.
Xu GaoNational Supercomputing Center in Zhengzhou, Zhengzhou University, Zhengzhou, China.
Congyang DaiState Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Zhengzhou Research Base, School of Agricultural Sciences, Zhengzhou University, Zhengzhou, China.
Xi WeiState Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Haobo ZhangState Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China.
Jinjie CuiState Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China. cuijinjie@126.com.ORCID http://orcid.org/0000-0001-5435-3985
Shoupu HeState Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China. heshoupu@caas.cn.ORCID http://orcid.org/0000-0001-8434-5484
Lei MaState Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China. malei@caas.cn.ORCID http://orcid.org/0000-0003-0964-3523
Xiongming DuState Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, China. duxiongming@caas.cn.ORCID http://orcid.org/0000-0001-8431-5592

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding early embryonic development is fundamental for unraveling plant cell differentiation and organogenesis. Here we integrate multiomics data from 403 upland cotton ovules to identify 2,960 metabolic quantitative trait loci and 24,485 expression quantitative trait loci. A key locus, ME_A07, influencing 252 known metabolite levels and expression of 4,293 genes, with the MYB gene GhTT2_A07 identified as central regulator, potentially regulated by a 520 kb inversion. GhTT2_A07 orchestrated both primary and secondary metabolite biosynthesis, influencing agronomic traits. Another locus, ME_A06, driven by the MYB gene Proanthocyanidin Regulator (GhPAR), modulates proanthocyanin content and suggests an ecological adaptation. GhTT2_A07 and GhPAR exhibit both shared and distinct expression profiles, contributing variably to fiber quality and yield. These findings highlight the critical role of MYB genes in the early development of cotton ovules and fibers, offering comprehensive multiomics resources that advance cotton research and molecular breeding.

Indexed as

Genes, mybGossypiumPlant ProteinsTranscriptomeCotton FiberGene Expression ProfilingGene Expression Regulation, PlantMetabolomicsOvuleProanthocyanidinsQuantitative Trait LociPlant ProteinsProanthocyanidins

Identifiers

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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.