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 exper- iments, providing additional easy-to-access experi- mental information. DRAGO3, the tool for automatic annotation and prediction of plant resistance genes behind PRGdb, has been improved in both accu- racy and sensitivity, leading to more reliable predic- tions. PRGdb offers 199 reference resistance genes and 586.652 putative resistance genes from 182 se- quenced proteomes. Compared to the previous re- lease, PRGdb 4.0 has increased the number of ref- erence resistance genes from 153 to 199, the num- ber 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 agri- cultural 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.

PRGdb 4.0: an updated database dedicated to genes involved in plant disease resistance process

Daniela D'Esposito;
2022

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 exper- iments, providing additional easy-to-access experi- mental information. DRAGO3, the tool for automatic annotation and prediction of plant resistance genes behind PRGdb, has been improved in both accu- racy and sensitivity, leading to more reliable predic- tions. PRGdb offers 199 reference resistance genes and 586.652 putative resistance genes from 182 se- quenced proteomes. Compared to the previous re- lease, PRGdb 4.0 has increased the number of ref- erence resistance genes from 153 to 199, the num- ber 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 agri- cultural 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.
2022
Istituto per la Protezione Sostenibile delle Piante - IPSP
databse
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/532926
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