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A User's Guide to a Data Base of the Diversity of Pseudomonas syringae and Its Application to Classifying Strains in This Phylogenetic Complex

The Pseudomonas syringae complex is composed of numerous genetic lineages of strains from both agricultural and environmental habitats including habitats closely linked to the water cycle. The new insights from the discovery of this bacterial species in habitats outside of agricultural contexts per...

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Detalles Bibliográficos
Autores principales: Berge, Odile, Monteil, Caroline L., Bartoli, Claudia, Chandeysson, Charlotte, Guilbaud, Caroline, Sands, David C., Morris, Cindy E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4153583/
https://www.ncbi.nlm.nih.gov/pubmed/25184292
http://dx.doi.org/10.1371/journal.pone.0105547
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author Berge, Odile
Monteil, Caroline L.
Bartoli, Claudia
Chandeysson, Charlotte
Guilbaud, Caroline
Sands, David C.
Morris, Cindy E.
author_facet Berge, Odile
Monteil, Caroline L.
Bartoli, Claudia
Chandeysson, Charlotte
Guilbaud, Caroline
Sands, David C.
Morris, Cindy E.
author_sort Berge, Odile
collection PubMed
description The Pseudomonas syringae complex is composed of numerous genetic lineages of strains from both agricultural and environmental habitats including habitats closely linked to the water cycle. The new insights from the discovery of this bacterial species in habitats outside of agricultural contexts per se have led to the revelation of a wide diversity of strains in this complex beyond what was known from agricultural contexts. Here, through Multi Locus Sequence Typing (MLST) of 216 strains, we identified 23 clades within 13 phylogroups among which the seven previously described P. syringae phylogroups were included. The phylogeny of the core genome of 29 strains representing nine phylogroups was similar to the phylogeny obtained with MLST thereby confirming the robustness of MLST-phylogroups. We show that phenotypic traits rarely provide a satisfactory means for classification of strains even if some combinations are highly probable in some phylogroups. We demonstrate that the citrate synthase (cts) housekeeping gene can accurately predict the phylogenetic affiliation for more than 97% of strains tested. We propose a list of cts sequences to be used as a simple tool for quickly and precisely classifying new strains. Finally, our analysis leads to predictions about the diversity of P. syringae that is yet to be discovered. We present here an expandable framework mainly based on cts genetic analysis into which more diversity can be integrated.
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spelling pubmed-41535832014-09-05 A User's Guide to a Data Base of the Diversity of Pseudomonas syringae and Its Application to Classifying Strains in This Phylogenetic Complex Berge, Odile Monteil, Caroline L. Bartoli, Claudia Chandeysson, Charlotte Guilbaud, Caroline Sands, David C. Morris, Cindy E. PLoS One Research Article The Pseudomonas syringae complex is composed of numerous genetic lineages of strains from both agricultural and environmental habitats including habitats closely linked to the water cycle. The new insights from the discovery of this bacterial species in habitats outside of agricultural contexts per se have led to the revelation of a wide diversity of strains in this complex beyond what was known from agricultural contexts. Here, through Multi Locus Sequence Typing (MLST) of 216 strains, we identified 23 clades within 13 phylogroups among which the seven previously described P. syringae phylogroups were included. The phylogeny of the core genome of 29 strains representing nine phylogroups was similar to the phylogeny obtained with MLST thereby confirming the robustness of MLST-phylogroups. We show that phenotypic traits rarely provide a satisfactory means for classification of strains even if some combinations are highly probable in some phylogroups. We demonstrate that the citrate synthase (cts) housekeeping gene can accurately predict the phylogenetic affiliation for more than 97% of strains tested. We propose a list of cts sequences to be used as a simple tool for quickly and precisely classifying new strains. Finally, our analysis leads to predictions about the diversity of P. syringae that is yet to be discovered. We present here an expandable framework mainly based on cts genetic analysis into which more diversity can be integrated. Public Library of Science 2014-09-03 /pmc/articles/PMC4153583/ /pubmed/25184292 http://dx.doi.org/10.1371/journal.pone.0105547 Text en © 2014 Berge 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Berge, Odile
Monteil, Caroline L.
Bartoli, Claudia
Chandeysson, Charlotte
Guilbaud, Caroline
Sands, David C.
Morris, Cindy E.
A User's Guide to a Data Base of the Diversity of Pseudomonas syringae and Its Application to Classifying Strains in This Phylogenetic Complex
title A User's Guide to a Data Base of the Diversity of Pseudomonas syringae and Its Application to Classifying Strains in This Phylogenetic Complex
title_full A User's Guide to a Data Base of the Diversity of Pseudomonas syringae and Its Application to Classifying Strains in This Phylogenetic Complex
title_fullStr A User's Guide to a Data Base of the Diversity of Pseudomonas syringae and Its Application to Classifying Strains in This Phylogenetic Complex
title_full_unstemmed A User's Guide to a Data Base of the Diversity of Pseudomonas syringae and Its Application to Classifying Strains in This Phylogenetic Complex
title_short A User's Guide to a Data Base of the Diversity of Pseudomonas syringae and Its Application to Classifying Strains in This Phylogenetic Complex
title_sort user's guide to a data base of the diversity of pseudomonas syringae and its application to classifying strains in this phylogenetic complex
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4153583/
https://www.ncbi.nlm.nih.gov/pubmed/25184292
http://dx.doi.org/10.1371/journal.pone.0105547
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