Evidence map›Paper›PMID 42661889›Full record

ArticleFrontiers in plant science2026

Integrated multi-omics analysis reveals distinct molecular features of key stages in cotton fiber development in

Zhaolong Gong, Shengmei Li, Lurong Xu, Shuaishuai Qian, Ni Yang, Haihong Chen, Fenglei Sun, Shiwei Geng, Yajun Liang, Xueyuan Li and 2 more

Abstract read
In one paragraph

Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Zhaolong Gong *Xinjiang Key Laboratory of Cotton Genetic Improvement and Intelligent Production/Xinjiang Cotton Technology Innovation Center, Cotton Research Institute of Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region (National Cotton Engineering Technology Research Center), Urumqi, Xinjiang, China.
Shengmei Li *College of Biotechnology, Xinjiang Agricultural Vocational and Technical University, Changji, China.
Lurong Xu *Xinjiang Key Laboratory of Cotton Genetic Improvement and Intelligent Production/Xinjiang Cotton Technology Innovation Center, Cotton Research Institute of Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region (National Cotton Engineering Technology Research Center), Urumqi, Xinjiang, China.
Shuaishuai QianXinjiang Key Laboratory of Cotton Genetic Improvement and Intelligent Production/Xinjiang Cotton Technology Innovation Center, Cotton Research Institute of Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region (National Cotton Engineering Technology Research Center), Urumqi, Xinjiang, China.
Ni YangXinjiang Key Laboratory of Cotton Genetic Improvement and Intelligent Production/Xinjiang Cotton Technology Innovation Center, Cotton Research Institute of Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region (National Cotton Engineering Technology Research Center), Urumqi, Xinjiang, China.
Haihong ChenXinjiang Key Laboratory of Cotton Genetic Improvement and Intelligent Production/Xinjiang Cotton Technology Innovation Center, Cotton Research Institute of Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region (National Cotton Engineering Technology Research Center), Urumqi, Xinjiang, China.
Fenglei SunXinjiang Key Laboratory of Cotton Genetic Improvement and Intelligent Production/Xinjiang Cotton Technology Innovation Center, Cotton Research Institute of Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region (National Cotton Engineering Technology Research Center), Urumqi, Xinjiang, China.
Shiwei GengXinjiang Key Laboratory of Cotton Genetic Improvement and Intelligent Production/Xinjiang Cotton Technology Innovation Center, Cotton Research Institute of Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region (National Cotton Engineering Technology Research Center), Urumqi, Xinjiang, China.
Yajun LiangXinjiang Key Laboratory of Cotton Genetic Improvement and Intelligent Production/Xinjiang Cotton Technology Innovation Center, Cotton Research Institute of Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region (National Cotton Engineering Technology Research Center), Urumqi, Xinjiang, China.
Xueyuan LiXinjiang Key Laboratory of Cotton Genetic Improvement and Intelligent Production/Xinjiang Cotton Technology Innovation Center, Cotton Research Institute of Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region (National Cotton Engineering Technology Research Center), Urumqi, Xinjiang, China.
Juyun ZhengXinjiang Key Laboratory of Cotton Genetic Improvement and Intelligent Production/Xinjiang Cotton Technology Innovation Center, Cotton Research Institute of Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region (National Cotton Engineering Technology Research Center), Urumqi, Xinjiang, China.
Junduo WangXinjiang Key Laboratory of Cotton Genetic Improvement and Intelligent Production/Xinjiang Cotton Technology Innovation Center, Cotton Research Institute of Academy of Agricultural Sciences of Xinjiang Uyghur Autonomous Region (National Cotton Engineering Technology Research Center), Urumqi, Xinjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cotton fiber development is a critical biological process underlying fiber quality, and its regulation involves multiple molecular layers, including transcription, translation, and metabolism. Methods: To systematically elucidate the molecular basis of fiber development in Results: As fiber development progressed, the numbers of differentially expressed genes, proteins, and accumulated metabolites increased in both cultivars, indicating extensive molecular reprogramming during the later stages of development. Cross-omics comparisons identified plant hormone signal transduction, starch and sucrose metabolism, phenylpropanoid biosynthesis, flavonoid biosynthesis, cutin, suberin and wax biosynthesis, and ABC transporters as core pathways commonly involved in fiber development. SM11 exhibited stronger enrichment of phenylpropanoid metabolism, cytochrome P450, and MAPK signaling, whereas YM5 showed more pronounced enrichment of ribosome-related processes, fatty acid elongation, and nitrogen metabolism. Proteomic and metabolomic analyses further confirmed substantial differences between the two cultivars in phenylpropanoid and flavonoid metabolism, sugar metabolism, and lipid metabolism. Integrated multi-omics analysis further demonstrated that phenylpropanoid and flavonoid biosynthesis constitute key coordinated modules across the three omics layers. Metabolites such as taxifolin, dihydromyricetin, and sinapaldehyde were closely associated with candidate genes and proteins, together forming an interconnected regulatory network. Discussion: These findings provide mechanistic insights into the molecular regulation of cotton fiber development and identify candidate molecular targets for fiber quality improvement in

Indexed as

fiber developmentflavonoid biosynthesisGossypium hirsutummulti-omicsphenylpropanoid metabolism

Identifiers

PMID42661889
PMCPMC13518543

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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.