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.| File | Dimensione | Formato | |
|---|---|---|---|
|
10.1093-nar-gkab1087.pdf
accesso aperto
Licenza:
Creative commons
Dimensione
1.08 MB
Formato
Adobe PDF
|
1.08 MB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


