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PMID: 23161682 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

PRGdb 2.0: towards a community-based database model for the analysis of R-genes in plants.

Nucleic acids research ·Vol. 41 ·No. Database issue ·2013-01-00 ·Pages D1167-71

Sanseverino W, Hermoso A, D'Alessandro R, Vlasova A, Andolfo G, Frusciante L, Lowy E, Roma G, Ercolano MR

Abstract

The Plant Resistance Genes database (PRGdb; http://prgdb.org) is a comprehensive resource on resistance genes (R-genes), a major class of genes in plant genomes that convey disease resistance against pathogens. Initiated in 2009, the database has grown more than 6-fold to recently include annotation derived from recent plant genome sequencing projects. Release 2.0 currently hosts useful biological information on a set of 112 known and 104 310 putative R-genes present in 233 plant species and conferring resistance to 122 different pathogens. Moreover, the website has been completely redesigned with the implementation of Semantic MediaWiki technologies, which makes our repository freely accessed and easily edited by any scientists. To this purpose, we encourage plant biologist experts to join our annotation effort and share their knowledge on resistance-gene biology with the rest of the scientific community.

MeSH Terms
Databases, Genetic Disease Resistance/genetics Genes, Plant Genome, Plant Internet Models, Genetic
Authors & Affiliations
9 authors, click to expand affiliations / ORCID
Sanseverino Walter
Department of Soil, Plant, Environmental and Animal Production Sciences, University of Naples "Federico II", Via Università 100, 80055 Portici, Italy.
Hermoso Antonio
D'Alessandro Raffaella
Vlasova Anna
Andolfo Giuseppe
Frusciante Luigi
Lowy Ernesto
Roma Guglielmo
Ercolano Maria Raffaella
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Article Info
Journal
Nucleic acids research
Abbr.
Nucleic Acids Res
ISSN
1362-4962
DOI
10.1093/nar/gks1183
Published
2013-01-00
Epub
2012-00-17
Pages
D1167-71
Language
English
Region
England
NLM ID
0411011
PMCID
PMC3531111
Subset
IM
External Links
PubMed source DOI: 10.1093/nar/gks1183 PMC Full Text View journal details
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