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Gall-ID: tools for genotyping gall-causing phytopathogenic bacteria

Understanding the population structure and genetic diversity of plant pathogens, as well as the effect of agricultural practices on pathogen evolution, is important for disease management. Developments in molecular methods have contributed to increase the resolution for accurate pathogen identificat...

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Autores principales: Davis II, Edward W., Weisberg, Alexandra J., Tabima, Javier F., Grunwald, Niklaus J., Chang, Jeff H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4958008/
https://www.ncbi.nlm.nih.gov/pubmed/27547538
http://dx.doi.org/10.7717/peerj.2222
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author Davis II, Edward W.
Weisberg, Alexandra J.
Tabima, Javier F.
Grunwald, Niklaus J.
Chang, Jeff H.
author_facet Davis II, Edward W.
Weisberg, Alexandra J.
Tabima, Javier F.
Grunwald, Niklaus J.
Chang, Jeff H.
author_sort Davis II, Edward W.
collection PubMed
description Understanding the population structure and genetic diversity of plant pathogens, as well as the effect of agricultural practices on pathogen evolution, is important for disease management. Developments in molecular methods have contributed to increase the resolution for accurate pathogen identification, but those based on analysis of DNA sequences can be less straightforward to use. To address this, we developed Gall-ID, a web-based platform that uses DNA sequence information from 16S rDNA, multilocus sequence analysis and whole genome sequences to group disease-associated bacteria to their taxonomic units. Gall-ID was developed with a particular focus on gall-forming bacteria belonging to Agrobacterium, Pseudomonas savastanoi, Pantoea agglomerans, and Rhodococcus. Members of these groups of bacteria cause growth deformation of plants, and some are capable of infecting many species of field, orchard, and nursery crops. Gall-ID also enables the use of high-throughput sequencing reads to search for evidence for homologs of characterized virulence genes, and provides downloadable software pipelines for automating multilocus sequence analysis, analyzing genome sequences for average nucleotide identity, and constructing core genome phylogenies. Lastly, additional databases were included in Gall-ID to help determine the identity of other plant pathogenic bacteria that may be in microbial communities associated with galls or causative agents in other diseased tissues of plants. The URL for Gall-ID is http://gall-id.cgrb.oregonstate.edu/.
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spelling pubmed-49580082016-08-19 Gall-ID: tools for genotyping gall-causing phytopathogenic bacteria Davis II, Edward W. Weisberg, Alexandra J. Tabima, Javier F. Grunwald, Niklaus J. Chang, Jeff H. PeerJ Agricultural Science Understanding the population structure and genetic diversity of plant pathogens, as well as the effect of agricultural practices on pathogen evolution, is important for disease management. Developments in molecular methods have contributed to increase the resolution for accurate pathogen identification, but those based on analysis of DNA sequences can be less straightforward to use. To address this, we developed Gall-ID, a web-based platform that uses DNA sequence information from 16S rDNA, multilocus sequence analysis and whole genome sequences to group disease-associated bacteria to their taxonomic units. Gall-ID was developed with a particular focus on gall-forming bacteria belonging to Agrobacterium, Pseudomonas savastanoi, Pantoea agglomerans, and Rhodococcus. Members of these groups of bacteria cause growth deformation of plants, and some are capable of infecting many species of field, orchard, and nursery crops. Gall-ID also enables the use of high-throughput sequencing reads to search for evidence for homologs of characterized virulence genes, and provides downloadable software pipelines for automating multilocus sequence analysis, analyzing genome sequences for average nucleotide identity, and constructing core genome phylogenies. Lastly, additional databases were included in Gall-ID to help determine the identity of other plant pathogenic bacteria that may be in microbial communities associated with galls or causative agents in other diseased tissues of plants. The URL for Gall-ID is http://gall-id.cgrb.oregonstate.edu/. PeerJ Inc. 2016-07-19 /pmc/articles/PMC4958008/ /pubmed/27547538 http://dx.doi.org/10.7717/peerj.2222 Text en ©2016 Davis II et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Agricultural Science
Davis II, Edward W.
Weisberg, Alexandra J.
Tabima, Javier F.
Grunwald, Niklaus J.
Chang, Jeff H.
Gall-ID: tools for genotyping gall-causing phytopathogenic bacteria
title Gall-ID: tools for genotyping gall-causing phytopathogenic bacteria
title_full Gall-ID: tools for genotyping gall-causing phytopathogenic bacteria
title_fullStr Gall-ID: tools for genotyping gall-causing phytopathogenic bacteria
title_full_unstemmed Gall-ID: tools for genotyping gall-causing phytopathogenic bacteria
title_short Gall-ID: tools for genotyping gall-causing phytopathogenic bacteria
title_sort gall-id: tools for genotyping gall-causing phytopathogenic bacteria
topic Agricultural Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4958008/
https://www.ncbi.nlm.nih.gov/pubmed/27547538
http://dx.doi.org/10.7717/peerj.2222
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