Evidence map›Paper›PMID 41381819›Full record

ArticleScientific reports2025

Comprehensive genome-wide identification and analysis of MYB transcription factors related to abiotic and biotic stress regulation in rice.

Md Atik Mas-Ud, Changxi Yin, Sadiya Arefin Juthee, Md Hosenuzzaman, Md Enamul Haque, Yanchun Zhu, Md Azizul Haque, Mohammad Nurul Matin

Abstract read
In one paragraph

Article in Scientific reports, 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. Review
  3. Genome-Wide Identification and Transcriptomic Analysis ofInternational journal of molecular sciences · 2026
    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

8 authors.

Md Atik Mas-UdCollege of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China.ORCID 0000-0002-4677-1404
Changxi YinCollege of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China.ORCID 0000-0002-7240-0201
Sadiya Arefin JutheeDepartment of Crop Botany, Bangladesh Agricultural University, Mymensingh, 2202, Bangladesh.ORCID 0000-0001-5466-7079
Md HosenuzzamanDepartment of Soil Science, Bangladesh Agricultural University, Mymensingh, 2202, Bangladesh.ORCID 0000-0003-1192-894X
Md Enamul HaqueDepartment of Biotechnology and Genetic Engineering, Gopalganj Science and Technology University, Gopalganj, 8100, Bangladesh.ORCID 0000-0001-7352-1956
Yanchun ZhuCollege of Plant Science and Technology, Huazhong Agricultural University, Wuhan, 430070, China.ORCID 0009-0000-6925-3688
Md Azizul HaqueDepartment of Health Informatics, Faculty of Medicine and Health Sciences, Frontier University, Garowe Campus, Puntland, Somalia. azizul@ynu.ac.kr.ORCID 0000-0002-5158-4558
Mohammad Nurul MatinDepartment of Genetic Engineering and Biotechnology, University of Rajshahi, Rajshahi, 6205, Bangladesh. nmatin@ru.ac.bd.ORCID 0000-0002-3594-2570

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The myeloblastosis (MYB) transcript factors (TFs) are well-known for their significant roles in stress tolerance in rice. Although numerous types of MYB have been reported, however, the key genes (KGs) of the MYB family and their specific functions for abiotic and biotic stresses in rice remain largely unexplored. In this study, 183 putative OsMYB TFs randomly distributed in rice genomes were identified, and 12 uncloned KGs (OsMYB91, OsMYB103, OsMYB124, OsMYBR5, OsMYBR11, OsMYBR17, OsMYBR21, OsMYBR51, OsMYBR62, OsMYBR63, OsMYBR67, and OsMYBR72) were identified by analyzing CytoHubba computational algorithms, which were found randomly distributed on seven chromosomes. The phylogenetic studies classified these genes into three different subfamilies and found that to show the evolutionary links among these KG families. We also critically analyzed the gene structure, domain architecture, conserved motifs, phytohormonal cis-acting elements, and protein structure by conducting bioinformatics and molecular biology methods. Moreover, syntenic pair analysis revealed that the 12 KGs have multiple relationships between rice and other plant species. Expressology tree analysis indicated that the genes might have various functions under development and stress conditions. Gene Ontology (GO) enrichment analysis revealed that KGs are significantly associated with key biological processes, molecular functions, and cellular components, particularly highlighting roles in gene expression regulation, transcription factor activity, and nuclear localization. The gene expression data analysis showed that the expression of the 12 KGs is abiotic stresses (drought, salt, cold, and heat) and different biotic stress-induced TFs, which are likely involved in stress response in rice. Relative gene expression results through qRT-PCR analysis revealed that the KGs are heat and salt-induced and play crucial roles in rice responses to heat and salt stress. Finally, we identified 12 KGs, and these KGs have potential roles for developing abiotic and biotic-tolerant rice varieties.

Indexed as

Genome, PlantOryzaPlant ProteinsStress, PhysiologicalTranscription FactorsComputational BiologyGene Expression Regulation, PlantMultigene FamilyPhylogenyPlant ProteinsTranscription FactorsAbiotic stressBiotic stressGene expressionKey genesMYBTranscript factors

Identifiers

PMID41381819
PMCPMC12712036

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Registered trials

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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.