Cargando…
PRGdb 3.0: a comprehensive platform for prediction and analysis of plant disease resistance genes
The Plant Resistance Genes database (PRGdb; http://prgdb.org) has been redesigned with a new user interface, new sections, new tools and new data for genetic improvement, allowing easy access not only to the plant science research community but also to breeders who want to improve plant disease resi...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753367/ https://www.ncbi.nlm.nih.gov/pubmed/29156057 http://dx.doi.org/10.1093/nar/gkx1119 |
_version_ | 1783290260800667648 |
---|---|
author | Osuna-Cruz, Cristina M Paytuvi-Gallart, Andreu Di Donato, Antimo Sundesha, Vicky Andolfo, Giuseppe Aiese Cigliano, Riccardo Sanseverino, Walter Ercolano, Maria R |
author_facet | Osuna-Cruz, Cristina M Paytuvi-Gallart, Andreu Di Donato, Antimo Sundesha, Vicky Andolfo, Giuseppe Aiese Cigliano, Riccardo Sanseverino, Walter Ercolano, Maria R |
author_sort | Osuna-Cruz, Cristina M |
collection | PubMed |
description | The Plant Resistance Genes database (PRGdb; http://prgdb.org) has been redesigned with a new user interface, new sections, new tools and new data for genetic improvement, allowing easy access not only to the plant science research community but also to breeders who want to improve plant disease resistance. The home page offers an overview of easy-to-read search boxes that streamline data queries and directly show plant species for which data from candidate or cloned genes have been collected. Bulk data files and curated resistance gene annotations are made available for each plant species hosted. The new Gene Model view offers detailed information on each cloned resistance gene structure to highlight shared attributes with other genes. PRGdb 3.0 offers 153 reference resistance genes and 177 072 annotated candidate Pathogen Receptor Genes (PRGs). Compared to the previous release, the number of putative genes has been increased from 106 to 177 K from 76 sequenced Viridiplantae and algae genomes. The DRAGO 2 tool, which automatically annotates and predicts (PRGs) from DNA and amino acid with high accuracy and sensitivity, has been added. BLAST search has been implemented to offer users the opportunity to annotate and compare their own sequences. The improved section on plant diseases displays useful information linked to genes and genomes to connect complementary data and better address specific needs. Through, a revised and enlarged collection of data, the development of new tools and a renewed portal, PRGdb 3.0 engages the plant science community in developing a consensus plan to improve knowledge and strategies to fight diseases that afflict main crops and other plants. |
format | Online Article Text |
id | pubmed-5753367 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-57533672018-01-05 PRGdb 3.0: a comprehensive platform for prediction and analysis of plant disease resistance genes Osuna-Cruz, Cristina M Paytuvi-Gallart, Andreu Di Donato, Antimo Sundesha, Vicky Andolfo, Giuseppe Aiese Cigliano, Riccardo Sanseverino, Walter Ercolano, Maria R Nucleic Acids Res Database Issue The Plant Resistance Genes database (PRGdb; http://prgdb.org) has been redesigned with a new user interface, new sections, new tools and new data for genetic improvement, allowing easy access not only to the plant science research community but also to breeders who want to improve plant disease resistance. The home page offers an overview of easy-to-read search boxes that streamline data queries and directly show plant species for which data from candidate or cloned genes have been collected. Bulk data files and curated resistance gene annotations are made available for each plant species hosted. The new Gene Model view offers detailed information on each cloned resistance gene structure to highlight shared attributes with other genes. PRGdb 3.0 offers 153 reference resistance genes and 177 072 annotated candidate Pathogen Receptor Genes (PRGs). Compared to the previous release, the number of putative genes has been increased from 106 to 177 K from 76 sequenced Viridiplantae and algae genomes. The DRAGO 2 tool, which automatically annotates and predicts (PRGs) from DNA and amino acid with high accuracy and sensitivity, has been added. BLAST search has been implemented to offer users the opportunity to annotate and compare their own sequences. The improved section on plant diseases displays useful information linked to genes and genomes to connect complementary data and better address specific needs. Through, a revised and enlarged collection of data, the development of new tools and a renewed portal, PRGdb 3.0 engages the plant science community in developing a consensus plan to improve knowledge and strategies to fight diseases that afflict main crops and other plants. Oxford University Press 2018-01-04 2017-11-16 /pmc/articles/PMC5753367/ /pubmed/29156057 http://dx.doi.org/10.1093/nar/gkx1119 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Osuna-Cruz, Cristina M Paytuvi-Gallart, Andreu Di Donato, Antimo Sundesha, Vicky Andolfo, Giuseppe Aiese Cigliano, Riccardo Sanseverino, Walter Ercolano, Maria R PRGdb 3.0: a comprehensive platform for prediction and analysis of plant disease resistance genes |
title | PRGdb 3.0: a comprehensive platform for prediction and analysis of plant disease resistance genes |
title_full | PRGdb 3.0: a comprehensive platform for prediction and analysis of plant disease resistance genes |
title_fullStr | PRGdb 3.0: a comprehensive platform for prediction and analysis of plant disease resistance genes |
title_full_unstemmed | PRGdb 3.0: a comprehensive platform for prediction and analysis of plant disease resistance genes |
title_short | PRGdb 3.0: a comprehensive platform for prediction and analysis of plant disease resistance genes |
title_sort | prgdb 3.0: a comprehensive platform for prediction and analysis of plant disease resistance genes |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753367/ https://www.ncbi.nlm.nih.gov/pubmed/29156057 http://dx.doi.org/10.1093/nar/gkx1119 |
work_keys_str_mv | AT osunacruzcristinam prgdb30acomprehensiveplatformforpredictionandanalysisofplantdiseaseresistancegenes AT paytuvigallartandreu prgdb30acomprehensiveplatformforpredictionandanalysisofplantdiseaseresistancegenes AT didonatoantimo prgdb30acomprehensiveplatformforpredictionandanalysisofplantdiseaseresistancegenes AT sundeshavicky prgdb30acomprehensiveplatformforpredictionandanalysisofplantdiseaseresistancegenes AT andolfogiuseppe prgdb30acomprehensiveplatformforpredictionandanalysisofplantdiseaseresistancegenes AT aieseciglianoriccardo prgdb30acomprehensiveplatformforpredictionandanalysisofplantdiseaseresistancegenes AT sanseverinowalter prgdb30acomprehensiveplatformforpredictionandanalysisofplantdiseaseresistancegenes AT ercolanomariar prgdb30acomprehensiveplatformforpredictionandanalysisofplantdiseaseresistancegenes |