Evidence map›Paper›PMID 39673124›Full record

ArticlePlant communications2025

Cotton metabolism regulatory network: Unraveling key genes and pathways in fiber development and growth regulation.

Zhao Liu, Liqiang Fan, Sheng Shu, Ghulam Qanmber, Eryong Chen, Jinquan Huang, Fuguang Li, Zuoren Yang

Abstract read
In one paragraph

Article in Plant communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
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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.

Zhao LiuZhengzhou Research Base, State Key Laboratory of Cotton Bio-breeding and Integrated Utilization, School of Agricultural Sciences, Zhengzhou University, Zhengzhou 450001, Henan, China; Xinjiang Key Laboratory of Crop Gene Editing and Germplasm Innovation, Institute of Western Agricultural of CAAS, Changji, Xinjiang 831100, China.
Liqiang FanState Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, Henan, China; Xinjiang Key Laboratory of Crop Gene Editing and Germplasm Innovation, Institute of Western Agricultural of CAAS, Changji, Xinjiang 831100, China.
Sheng ShuZhengzhou Research Base, State Key Laboratory of Cotton Bio-breeding and Integrated Utilization, School of Agricultural Sciences, Zhengzhou University, Zhengzhou 450001, Henan, China.
Ghulam QanmberZhengzhou Research Base, State Key Laboratory of Cotton Bio-breeding and Integrated Utilization, School of Agricultural Sciences, Zhengzhou University, Zhengzhou 450001, Henan, China.
Eryong ChenHenan Engineering Research Center of Crop Genome Editing, School of Agriculture, Henan Institute of Science and Technology, Xinxiang 453000, Henan, China.
Jinquan HuangNational Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai 200032, China.
Fuguang LiZhengzhou Research Base, State Key Laboratory of Cotton Bio-breeding and Integrated Utilization, School of Agricultural Sciences, Zhengzhou University, Zhengzhou 450001, Henan, China; State Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, Henan, China; Xinjiang Key Laboratory of Crop Gene Editing and Germplasm Innovation, Institute of Western Agricultural of CAAS, Changji, Xinjiang 831100, China. Electronic address: aylifug@caas.cn.
Zuoren YangZhengzhou Research Base, State Key Laboratory of Cotton Bio-breeding and Integrated Utilization, School of Agricultural Sciences, Zhengzhou University, Zhengzhou 450001, Henan, China; State Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, Henan, China; Xinjiang Key Laboratory of Crop Gene Editing and Germplasm Innovation, Institute of Western Agricultural of CAAS, Changji, Xinjiang 831100, China. Electronic address: yangzuoren@caas.cn.

Funding

Non-US Government Research Support type
6 · The paper itself

Abstract

Cotton (Gossypium hirsutum L.) is one of the world's most important commercial crops. However, the dynamics of metabolite abundance and potential regulatory networks throughout its life cycle remain poorly understood. In this study, we developed a cotton metabolism regulatory network (CMRN) that spans various developmental stages and encompasses 2138 metabolites and 90 309 expressed genesin upland cotton. By integrating high-resolution spatiotemporal metabolome and transcriptome data, we identified 1958 differentially accumulated metabolites and 13 597 co-expressed differentially expressed genes between the dwarf mutant pagoda1 and its wild-type counterpart Zhongmiansuo 24. These metabolites and genes were categorized into seven clusters based on tissue-specific accumulation patterns and gene expression profiles across different developmental stages. Kyoto Encyclopedia of Genes and Genomes enrichment analysis revealed significant differential enrichment in the fatty acid elongation pathway, particularly in fibers. The differential involvement of genes and metabolites in very-long-chain fatty acid (VLCFA) synthesis led to the identification of GhKCS1b_Dt as a key gene. Overexpression of GhKCS1b_Dt significantly promoted fiber elongation, while its silencing markedly inhibited cotton fiber growth, affirming its positive regulatory role in fiber elongation. This dataset provides a valuable resource for further research into metabolic pathways and gene regulatory networks, offering novel insights for advancing cotton breeding strategies.

Indexed as

Cotton FiberGene Regulatory NetworksGossypiumGene Expression Regulation, PlantGenes, PlantMetabolomePlant ProteinsTranscriptomePlant ProteinsCMRNcottonmetabolic regulatory networkmetabolomepag1transcriptome

Identifiers

PMID39673124
PMCPMC11956105

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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.