Evidence map›Paper›PMID 40596168›Full record

ArticleScientific reports2025

Integrating multi-omic data to identify key genes and pathways involved in rice bacterial leaf streak disease.

Paniz Abdollahi Saeed, Abozar Ghorbani, Mahsa Rostami, Elham Ashrafi-Dehkordi

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 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

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

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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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Beyond Resistance Genes: Silencing Susceptibility.International journal of molecular sciences · 2026
    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

4 authors.

Paniz Abdollahi SaeedDepartment of Plant Protection, Faculty of Agriculture, University of Zanjan, Zanjan, Iran.
Abozar GhorbaniNuclear Agriculture Research School, Nuclear Science and Technology Research Institute (NSTRI), Karaj, Iran. abghorbany@aeoi.org.ir.
Mahsa RostamiNuclear Agriculture Research School, Nuclear Science and Technology Research Institute (NSTRI), Karaj, Iran.
Elham Ashrafi-DehkordiDepartment of Food Hygiene and Quality Control, Nutrition Research Center, School of Nutrition and Food Sciences, Shiraz University of Medical Sciences, Shiraz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial leaf streak disease (BLS) is caused by Xanthomonas oryzae pv. oryzicola (Xoc), which represents a significant threat to rice (Oryza sativa) crops. The objective of the present work is to identify the genetic regions and signaling pathways that contribute to the infection process caused by Xoc. The study employs RNA-Seq data to investigate gene co-expression networks, with a particular emphasis on essential genes involved in ribosome production. Furthermore, the research investigates codon usage patterns in the context of gene expression and translation processes. The findings highlight the importance of the apoplastic pathway, which plays a crucial role in the infection of plants through the breach of the epidermis in their aerial structures. Bioinformatics tools, including STRING, KEGG, Tomtom, and GoMo, were employed to conduct differential gene expression analyses, pathway enrichment studies, and network construction, thereby facilitating the identification of essential genes involved in stress response and disease resistance. Network cluster analysis corroborated the findings of the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) survey. In total, 16 hub genes were identified through integrated PPI network and CytoHubba analysis, including RPL3B (log2FC = 4.69) and P0650C03.25 (log2FC = 4.4), both involved in ribosomal biogenesis. GO and KEGG pathway enrichment revealed significant activation of ribosome biogenesis, secondary metabolite biosynthesis, and stress-related transcription factors. Promoter motif analysis identified conserved elements associated with transcriptional regulation and water stress responses. Furthermore, key miRNAs (e.g., miR5075 and miR1848) targeting hub genes were predicted. Codon usage analysis showed that several hub genes exhibited high CAI and low ENC, indicating codon optimization under bacterial infection. These findings offer candidate targets for improving rice resistance to BLS. The objective is to furnish insights that can inform the development of efficacious preventive strategies.

Indexed as

OryzaPlant DiseasesXanthomonasComputational BiologyDisease ResistanceGene Expression ProfilingGene Expression Regulation, PlantGene OntologyGene Regulatory NetworksGenes, PlantMultiomicsPlant LeavesSignal TransductionBioinformaticsCodon usageGene ontologymiRNAsPromoter analysisProtein–protein interactionsRice bacterial leaf streak

Identifiers

PMID40596168
PMCPMC12217088

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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.