Evidence map›Paper›PMID 40430973›Full record

ArticlePlants (Basel, Switzerland)2025

Mining Key Drought-Resistant Genes of Upland Cotton Based on RNA-Seq and WGCNA Analysis.

Hu Zhang, Wen Zhang, Yu Tang, Yuantao Guo, Jinsheng Wang, Wenju Gao, Qingtao Zeng, Quanjia Chen, Qin Chen

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

9 authors.

Hu ZhangXinjiang Key Laboratory of Crop Biological Breeding, College of Agriculture, Xinjiang Agricultural University, Urumqi 830052, China.
Wen ZhangThe 7th Division of Agricultural Sciences Institute, Xinjiang Production and Construction Corps, Kuitun 833200, China.
Yu TangXinjiang Key Laboratory of Crop Biological Breeding, College of Agriculture, Xinjiang Agricultural University, Urumqi 830052, China.
Yuantao GuoXinjiang Key Laboratory of Crop Biological Breeding, College of Agriculture, Xinjiang Agricultural University, Urumqi 830052, China.ORCID 0009-0007-0579-9180
Jinsheng WangXinjiang Key Laboratory of Crop Biological Breeding, College of Agriculture, Xinjiang Agricultural University, Urumqi 830052, China.
Wenju GaoXinjiang Key Laboratory of Crop Biological Breeding, College of Agriculture, Xinjiang Agricultural University, Urumqi 830052, China.
Qingtao ZengThe 7th Division of Agricultural Sciences Institute, Xinjiang Production and Construction Corps, Kuitun 833200, China.
Quanjia ChenXinjiang Key Laboratory of Crop Biological Breeding, College of Agriculture, Xinjiang Agricultural University, Urumqi 830052, China.
Qin ChenXinjiang Key Laboratory of Crop Biological Breeding, College of Agriculture, Xinjiang Agricultural University, Urumqi 830052, China.

Funding

National Major Project of Agricultural Biological Breeding 2023ZD04040-3National Natural Science Foundation of China 32260503The Seventh Division Financial Science and Technology Program 2023D01
6 · The paper itself

Abstract

Cotton, as a globally important fiber crop, is significantly affected by drought stress during production. This study uses the drought-resistant variety Jin and the drought-sensitive variety TM-1 as test materials. Through multi-period drought stress treatments at 0 d, 7 d, 10 d, 15 d, and 25 d, combined with dynamic monitoring of physiological indicators, RNA sequencing, and weighted gene co-expression network analysis, the molecular mechanism of cotton drought resistance is systematically analyzed. Dynamic monitoring of physiological indicators showed that Jin significantly accumulated proline, maintained superoxide dismutase activity, reduced malondialdehyde accumulation, and delayed chlorophyll degradation. Transcriptome analysis revealed that Jin specifically activated 8544 differentially expressed genes after stress, which were significantly enriched in lipid metabolism (α-linolenic acid, ether lipids) and secondary metabolic pathways. Weighted gene co-expression network analysis identified co-expression modules significantly correlated with proline (r = 0.81) and malondialdehyde (r = 0.86) and selected the key hub gene Gh_A08G154500 (WRKY22), which was expressed 3.2 times higher in Jin than in TM-1 at 15 days of drought stress. Functional validation suggested that WRKY22 may form a "osmotic regulation-membrane protection" co-regulatory network by activating Pro synthesis genes (P5CS) and genes involved in the jasmonic acid signaling pathway. This study reveals, for the first time, the possible dual regulatory mechanism of WRKY22 in cotton's drought resistance, providing a theoretical basis for cotton drought-resistant breeding.

Indexed as

drought stressGossypium hirsutumtranscriptomeweighted gene co-expression network analysisWRKY transcription factor

Identifiers

PMID40430973
PMCPMC12114639

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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.