Evidence map›Paper›PMID 41523157›Full record

ArticleFrontiers in plant science2025

Multiomic analyses reveal transcription factors involved in the fatty acid biosynthesis pathway under cold stress in upland cotton (

Ni Yang, Zhaolong Gong, Zihui Li, Juyun Zheng, Zhi Liu, Binyue Wang, Shiwei Geng, Fenglei Sun, Haihong Chen, Shengmei Li and 2 more

Abstract read
In one paragraph

Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Ni YangXinjiang Cotton Technology Innovation Center/Xinjiang Key Laboratory of Cotton Genetic Improvement and Intelligent Production/National Cotton Engineering Technology Research Center, Cotton Research Institute of Xinjiang Uyghur Autonomous Region Academy of Agricultural Sciences, Urumqi, China.
Zhaolong GongXinjiang Cotton Technology Innovation Center/Xinjiang Key Laboratory of Cotton Genetic Improvement and Intelligent Production/National Cotton Engineering Technology Research Center, Cotton Research Institute of Xinjiang Uyghur Autonomous Region Academy of Agricultural Sciences, Urumqi, China.
Zihui LiAgricultural and Forestry Grassland Center, 16th Regiment of the First Division of Xinjiang Production and Construction Corps, Alar, China.
Juyun ZhengXinjiang Cotton Technology Innovation Center/Xinjiang Key Laboratory of Cotton Genetic Improvement and Intelligent Production/National Cotton Engineering Technology Research Center, Cotton Research Institute of Xinjiang Uyghur Autonomous Region Academy of Agricultural Sciences, Urumqi, China.
Zhi LiuCollege of Bioscience and Biotechnology, Hunan Agricultural University, Changsha, China.
Binyue WangCollege of Agronomy, Xinjiang Agricultural University, Urumqi, China.
Shiwei GengXinjiang Cotton Technology Innovation Center/Xinjiang Key Laboratory of Cotton Genetic Improvement and Intelligent Production/National Cotton Engineering Technology Research Center, Cotton Research Institute of Xinjiang Uyghur Autonomous Region Academy of Agricultural Sciences, Urumqi, China.
Fenglei SunXinjiang Cotton Technology Innovation Center/Xinjiang Key Laboratory of Cotton Genetic Improvement and Intelligent Production/National Cotton Engineering Technology Research Center, Cotton Research Institute of Xinjiang Uyghur Autonomous Region Academy of Agricultural Sciences, Urumqi, China.
Haihong ChenXinjiang Cotton Technology Innovation Center/Xinjiang Key Laboratory of Cotton Genetic Improvement and Intelligent Production/National Cotton Engineering Technology Research Center, Cotton Research Institute of Xinjiang Uyghur Autonomous Region Academy of Agricultural Sciences, Urumqi, China.
Shengmei LiXinjiang Agricultural Vocational and Technical University, Changji, China.
Junduo WangXinjiang Cotton Technology Innovation Center/Xinjiang Key Laboratory of Cotton Genetic Improvement and Intelligent Production/National Cotton Engineering Technology Research Center, Cotton Research Institute of Xinjiang Uyghur Autonomous Region Academy of Agricultural Sciences, Urumqi, China.
Yajun LiangXinjiang Cotton Technology Innovation Center/Xinjiang Key Laboratory of Cotton Genetic Improvement and Intelligent Production/National Cotton Engineering Technology Research Center, Cotton Research Institute of Xinjiang Uyghur Autonomous Region Academy of Agricultural Sciences, Urumqi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Chromatin accessibility is broadly implicated in plant abiotic stress responses; nevertheless, its role under cold stress in upland cotton ( Methods: Here, we integrated the transcriptomic, metabolomic, and ATAC-seq profiles of a cold-tolerant line, Xinluzao 52 (X52), and a cold-sensitive line, Dai 4554 (D4554), which were sampled before (0 h) and after (6 h) cold treatment. Results: Compared with the respective 0-h controls, the 6-h cold exposure group had specifically enriched differentially expressed genes (DEGs) related to the fatty acid metabolism pathway in X52, while no comparable enrichment was observed in D4554. Among all the DEGs from comparison groups D4554-C vs. X52-C, D4554-C vs. D4554-T, D4554-T vs. X52-T, and X52-C vs. X52-T, a total of 3, 338 differentially expressed transcription factors (TFs) were identified, of which the MYB, bHLH, NAC, and WRKY families were predominated. Coexpression analysis partitioned these TFs into nine modules and identified 24 hub TFs. Metabolomic profiling revealed that fatty acids accounted for ~10% of the differentially expressed metabolites (DEMs), and eight of the nine TF coexpression modules were strongly correlated with fatty acid pathway metabolites (|r| > 0.9,

Indexed as

chromatin accessibilitycold stressfatty acid metabolismmultiomicstranscription factorupland cotton

Identifiers

PMID41523157
PMCPMC12785178

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.