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PRGdb 4.0: an updated database dedicated to genes involved in plant disease resistance process
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,...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8729912/ https://www.ncbi.nlm.nih.gov/pubmed/34850118 http://dx.doi.org/10.1093/nar/gkab1087 |
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author | Calle García, Joan Guadagno, Anna Paytuvi-Gallart, Andreu Saera-Vila, Alfonso Amoroso, Ciro Gianmaria D’Esposito, Daniela Andolfo, Giuseppe Aiese Cigliano, Riccardo Sanseverino, Walter Ercolano, Maria Raffaella |
author_facet | Calle García, Joan Guadagno, Anna Paytuvi-Gallart, Andreu Saera-Vila, Alfonso Amoroso, Ciro Gianmaria D’Esposito, Daniela Andolfo, Giuseppe Aiese Cigliano, Riccardo Sanseverino, Walter Ercolano, Maria Raffaella |
author_sort | Calle García, Joan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8729912 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-87299122022-01-06 PRGdb 4.0: an updated database dedicated to genes involved in plant disease resistance process Calle García, Joan Guadagno, Anna Paytuvi-Gallart, Andreu Saera-Vila, Alfonso Amoroso, Ciro Gianmaria D’Esposito, Daniela Andolfo, Giuseppe Aiese Cigliano, Riccardo Sanseverino, Walter Ercolano, Maria Raffaella Nucleic Acids Res Database Issue 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. Oxford University Press 2021-11-24 /pmc/articles/PMC8729912/ /pubmed/34850118 http://dx.doi.org/10.1093/nar/gkab1087 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Issue Calle García, Joan Guadagno, Anna Paytuvi-Gallart, Andreu Saera-Vila, Alfonso Amoroso, Ciro Gianmaria D’Esposito, Daniela Andolfo, Giuseppe Aiese Cigliano, Riccardo Sanseverino, Walter Ercolano, Maria Raffaella PRGdb 4.0: an updated database dedicated to genes involved in plant disease resistance process |
title | PRGdb 4.0: an updated database dedicated to genes involved in plant disease resistance process |
title_full | PRGdb 4.0: an updated database dedicated to genes involved in plant disease resistance process |
title_fullStr | PRGdb 4.0: an updated database dedicated to genes involved in plant disease resistance process |
title_full_unstemmed | PRGdb 4.0: an updated database dedicated to genes involved in plant disease resistance process |
title_short | PRGdb 4.0: an updated database dedicated to genes involved in plant disease resistance process |
title_sort | prgdb 4.0: an updated database dedicated to genes involved in plant disease resistance process |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8729912/ https://www.ncbi.nlm.nih.gov/pubmed/34850118 http://dx.doi.org/10.1093/nar/gkab1087 |
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