Evidence map›Paper›PMID 39780042›Full record

ArticleBMC plant biology2025

Phylogeny-based comparative analysis of gene expression modulation upon drought stress across three cotton diploids.

Tong Huan, Xinyu Zhang, Minghua Lv, Haotian Zhou, Yanyan Zhao, Dongliang Yu, Yuqiang Sun

Abstract readComparative Study
In one paragraph

Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Genome-Wide Identification and Characterization of theInternational journal of molecular sciences · 2025
    Article
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  5. 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

7 authors.

Tong Huan *College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, 310018, China.
Xinyu Zhang *College of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, 310018, China.
Minghua LvCollege of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, 310018, China.
Haotian ZhouCollege of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, 310018, China.
Yanyan ZhaoCollege of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, 310018, China.
Dongliang YuCollege of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, 310018, China. yudl@zstu.edu.cn.
Yuqiang SunCollege of Life Sciences and Medicine, Zhejiang Sci-Tech University, Hangzhou, 310018, China.

Funding

Fundamental Research Funds of Zhejiang Sci-Tech University 19042398-YNational Natural Science Foundation of China 32170623
6 · The paper itself

Abstract

backgroundDrought stress is a significant global challenge that negatively impacts cotton fiber yield and quality. Although many drought-stress responsive genes have been identified in cotton species (Gossypium spp.), the diversity of drought response mechanisms across cotton species remains largely unexplored. This study compared gene expression modulation in response to drought stress across three diploid cotton species: G. arboreum, G. stocksii, and G. bickii.

resultsWe observed significant variation in the content and biological roles of differentially expressed genes among the studied species, along with enhanced divergence in ortholog expression patterns under drought stress. These findings suggest a remodeling of drought response mechanisms during the independent evolution of cotton species. Additionally, we identified 287 genes exhibiting similar regulatory responses to drought across species, highlighting pathways including starch and sucrose metabolism, chlorophyll catabolite degradation and synthesis, and hormone-mediated signal transduction. Notably, 16 transcription factors were identified as potential central regulators of the conserved stress response mechanisms.

conclusionsThis study reveals the diversity of drought response mechanisms among individual cotton species, identifies valuable targets for genetically enhancing drought tolerance, and provides a strategic framework for identifying candidate genes for breeding programs.

Indexed as

DroughtsGene Expression Regulation, PlantGossypiumPhylogenyDiploidyGenes, PlantStress, PhysiologicalTranscription FactorsTranscription FactorsOrthologous genesRegulatory networksStress responseWild cotton

Identifiers

PMID39780042
PMCPMC11715489

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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.