ArticleNucleic acids research2022
PRGdb 4.0: an updated database dedicated to genes involved in plant disease resistance process.
Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.
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Who cites it
59 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Unraveling the genetic basis of quantitative resistance to diseases in tomato: a meta-QTL analysis and mining of transcript profiles.Plant cell reports · 2024Pooled it
- Computational studies deciphered the role of key genes and associated networks regulating the defense mechanism in chickpea underPlant signaling & behavior · 2026Article
- PlantRG: A Comprehensive and User-Friendly Database for Plant Resistance Gene Analogs (RGAs).Plant biotechnology journal · 2026Article
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- funPlantGenes: A pan-species curated knowledgebase bridging crop genomics and improvement.Plant communications · 2026Article
- Integrative approach to identify robust pattern recognition receptors in Eucalyptus grandis: novel candidates for disease resistance.Plant molecular biology · 2026Article
- Pan-NLRome analysis uncovers genetic diversity and evolutionary dynamics among rice, maize and sorghum.The plant genome · 2026Article
- WheatRPred: deep learning framework for predicting disease resistance protein in wheat and its wild relatives.Journal, genetic engineering & biotechnology · 2026Article
- Integrated Single-Cell and Spatial Transcriptomics Reveal Cell-Type-Specific Immune Regulatory Networks in Maize Responding to Southern Corn Rust.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Haplotype-resolved genome of Citrus × sinensis 'Pera IAC', the most widely cultivated sweet orange in Brazil.Scientific data · 2026Article
- Allelic structural variation at the NLR25-1 locus enhances defense against Pseudomonas syringae in kiwifruit.Genome biology · 2026Article
- NLRSeek: A reannotation-based pipeline for mining missing NLR genes in sequenced genomes.aBIOTECH · 2026Article
- Accelerating Resistance Breeding: Emerging Methods to Identify and Validate Plant Immunity Genes.Plants (Basel, Switzerland) · 2026Review
- Genome-wide identification, evolutionary analysis, and expression profiling of pathogen recognition genes in Gastrodia elata.BMC plant biology · 2026Article
- A comprehensive analysis of two Chinese cucumber genomes and a mutant population as resources for precision breeding.Horticulture research · 2026Article
- Article
- Integrated transcriptomic analysis reveals transcriptional changes associated with begomovirus infection in the medicinal plantFrontiers in plant science · 2026Article
- Turning Susceptibility into Strength: A New Era of Durable Resistance in Plants Through Genome Editing.Plants (Basel, Switzerland) · 2025Review
- Whole genome sequencing reveals transcriptional and translational elements potentially regulating biotic and abiotic stress responses in cowpea.Scientific reports · 2025Article
- A gap and synergy analysis of the European research infrastructure (RI) ecosystem: advancing the novel GRACE-RI dedicated to plant genetic resources.Annals of botany · 2025Article
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Authors and funding
10 authors.
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Abstract
The Plant Resistance Genes database (PRGdb; http://prgdb.org/prgdb4/) has been greatly expanded, keeping pace with the increasing amount of available knowledge and data (sequenced proteomes, cloned genes, public analysis data, etc.). The easy-to-use style of the database website has been maintained, while an updated prediction tool, more data and a new section have been added. This new section will contain plant resistance transcriptomic experiments, providing additional easy-to-access experimental information. DRAGO3, the tool for automatic annotation and prediction of plant resistance genes behind PRGdb, has been improved in both accuracy and sensitivity, leading to more reliable predictions. PRGdb offers 199 reference resistance genes and 586.652 putative resistance genes from 182 sequenced proteomes. Compared to the previous release, PRGdb 4.0 has increased the number of reference resistance genes from 153 to 199, the number of putative resistance genes from 177K from 76 proteomes to 586K from 182 sequenced proteomes. A new section has been created that collects plant-pathogen transcriptomic data for five species of agricultural interest. Thereby, with these improvements and data expansions, PRGdb 4.0 aims to serve as a reference to the plant scientific community and breeders worldwide, helping to further study plant resistance mechanisms that contribute to fighting pathogens.
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