Evidence map›Paper›PMID 41023625›Full record

ArticleBMC plant biology2025

Genome-wide identification of GhEDS1 gene family members in cotton and expression analysis in response to biotic and abiotic stresses.

Rasmieh Hamid, Bahman Panahi, Amin Nezarat, Zahra Ghorbanzadeh, Feba Jacob, Komal G Lakhani, Mohammad Reza Ghaffari

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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 6 papers.

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6citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Rasmieh HamidDepartment of Plant Breeding, Cotton Research Institute of Iran (CRII), Agricultural Research, Education and Extension Organization (AREEO), Gorgan, Iran. r.hamid@areeo.ac.ir.
Bahman PanahiDepartment of Genomics, Branch for Northwest & West region, Agricultural Biotechnology Research Institute of Iran (ABRII), Agricultural Research, Education and Extension Organization (AREEO), Tabriz, Iran. b.panahi@abrii.ac.ir.
Amin NezaratSenior Researcher, Information and communication technology (ICT) Research Institute, Ministry of ICT, Tehran, Iran.
Zahra GhorbanzadehDepartment of Systems Biology, Agricultural Biotechnology Research Institute of Iran (ABRII), Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran.
Feba JacobCentre for Plant Biotechnology and Molecular Biology, Kerala Agricultural University, Thrissur, India.
Komal G LakhaniHawkesbury institute for the Environment, Western Sydney University, Richmond, NSW, Australia.
Mohammad Reza GhaffariDepartment of Systems Biology, Agricultural Biotechnology Research Institute of Iran (ABRII), Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEnhanced Disease Susceptibility 1 (EDS1) genes are central regulators of plant immunity and abiotic stress responses. Although well studied in model species, their genome-wide characterisation in cotton (Gossypium spp.) remains lacking.

resultsWe identified 268 putative EDS1 genes across four Gossypium species (G. hirsutum, G. barbadense, G. arboreum, and G. raimondii) using HMMER-based domain searches. Phylogenetic analysis grouped the genes into five subfamilies, reflecting both conserved ancestry and subgenome-specific diversification. Chromosomal mapping, collinearity, and Ka/Ks analyses revealed that segmental and whole-genome duplications were the primary drivers of expansion, with most duplicates under purifying selection. Promoter analysis using PlantCARE uncovered cis-regulatory elements responsive to abscisic acid, jasmonic acid, drought (MBS), and light signals (G-box). miRNA target prediction via psRNATarget revealed ghr-miR414 as a key regulator targeting multiple GhEDS1 transcripts. Functional enrichment indicated roles in lipid metabolism and ubiquitin-mediated proteolysis. Finally, RNA-seq data and qRT-PCR confirmed that GhEDS1A-13, GhEDS1D-57, and GhEDS1D-48 were significantly upregulated under PEG-induced drought stress, implicating them in ABA-linked stress adaptation.

conclusionsThis study provides the first comprehensive characterisation of the EDS1 gene family in cotton, highlighting its evolutionary dynamics, regulatory complexity, and potential in improving drought tolerance through molecular breeding.

Indexed as

GossypiumStress, PhysiologicalDNA-Binding ProteinsEvolution, MolecularGene Expression Regulation, PlantGenes, PlantGenome, PlantGenome-Wide Association StudyPhylogenyPlant ProteinsReverse Transcriptase Polymerase Chain ReactionDNA-Binding ProteinsPlant ProteinsDrought stressEDS1 gene familyFunctional genomicsGene duplicationGossypium hirsutumPEG stressPromoter analysisRNA-seq

Identifiers

PMID41023625
PMCPMC12481744

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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.