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PhyTB: Phylogenetic tree visualisation and sample positioning for M. tuberculosis

BACKGROUND: Phylogenetic-based classification of M. tuberculosis and other bacterial genomes is a core analysis for studying evolutionary hypotheses, disease outbreaks and transmission events. Whole genome sequencing is providing new insights into the genomic variation underlying intra- and inter-st...

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Autores principales: Benavente, Ernest D, Coll, Francesc, Furnham, Nick, McNerney, Ruth, Glynn, Judith R, Campino, Susana, Pain, Arnab, Mohareb, Fady R, Clark, Taane G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4429496/
https://www.ncbi.nlm.nih.gov/pubmed/25968323
http://dx.doi.org/10.1186/s12859-015-0603-3
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author Benavente, Ernest D
Coll, Francesc
Furnham, Nick
McNerney, Ruth
Glynn, Judith R
Campino, Susana
Pain, Arnab
Mohareb, Fady R
Clark, Taane G
author_facet Benavente, Ernest D
Coll, Francesc
Furnham, Nick
McNerney, Ruth
Glynn, Judith R
Campino, Susana
Pain, Arnab
Mohareb, Fady R
Clark, Taane G
author_sort Benavente, Ernest D
collection PubMed
description BACKGROUND: Phylogenetic-based classification of M. tuberculosis and other bacterial genomes is a core analysis for studying evolutionary hypotheses, disease outbreaks and transmission events. Whole genome sequencing is providing new insights into the genomic variation underlying intra- and inter-strain diversity, thereby assisting with the classification and molecular barcoding of the bacteria. One roadblock to strain investigation is the lack of user-interactive solutions to interrogate and visualise variation within a phylogenetic tree setting. RESULTS: We have developed a web-based tool called PhyTB (http://pathogenseq.lshtm.ac.uk/phytblive/index.php) to assist phylogenetic tree visualisation and identification of M. tuberculosis clade-informative polymorphism. Variant Call Format files can be uploaded to determine a sample position within the tree. A map view summarises the geographical distribution of alleles and strain-types. The utility of the PhyTB is demonstrated on sequence data from 1,601 M. tuberculosis isolates. CONCLUSION: PhyTB contextualises M. tuberculosis genomic variation within epidemiological, geographical and phylogenic settings. Further tool utility is possible by incorporating large variants and phenotypic data (e.g. drug-resistance profiles), and an assessment of genotype-phenotype associations. Source code is available to develop similar websites for other organisms (http://sourceforge.net/projects/phylotrack).
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spelling pubmed-44294962015-05-14 PhyTB: Phylogenetic tree visualisation and sample positioning for M. tuberculosis Benavente, Ernest D Coll, Francesc Furnham, Nick McNerney, Ruth Glynn, Judith R Campino, Susana Pain, Arnab Mohareb, Fady R Clark, Taane G BMC Bioinformatics Software BACKGROUND: Phylogenetic-based classification of M. tuberculosis and other bacterial genomes is a core analysis for studying evolutionary hypotheses, disease outbreaks and transmission events. Whole genome sequencing is providing new insights into the genomic variation underlying intra- and inter-strain diversity, thereby assisting with the classification and molecular barcoding of the bacteria. One roadblock to strain investigation is the lack of user-interactive solutions to interrogate and visualise variation within a phylogenetic tree setting. RESULTS: We have developed a web-based tool called PhyTB (http://pathogenseq.lshtm.ac.uk/phytblive/index.php) to assist phylogenetic tree visualisation and identification of M. tuberculosis clade-informative polymorphism. Variant Call Format files can be uploaded to determine a sample position within the tree. A map view summarises the geographical distribution of alleles and strain-types. The utility of the PhyTB is demonstrated on sequence data from 1,601 M. tuberculosis isolates. CONCLUSION: PhyTB contextualises M. tuberculosis genomic variation within epidemiological, geographical and phylogenic settings. Further tool utility is possible by incorporating large variants and phenotypic data (e.g. drug-resistance profiles), and an assessment of genotype-phenotype associations. Source code is available to develop similar websites for other organisms (http://sourceforge.net/projects/phylotrack). BioMed Central 2015-05-13 /pmc/articles/PMC4429496/ /pubmed/25968323 http://dx.doi.org/10.1186/s12859-015-0603-3 Text en © Benavente et al.; licensee BioMed Central. 2015 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, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software
Benavente, Ernest D
Coll, Francesc
Furnham, Nick
McNerney, Ruth
Glynn, Judith R
Campino, Susana
Pain, Arnab
Mohareb, Fady R
Clark, Taane G
PhyTB: Phylogenetic tree visualisation and sample positioning for M. tuberculosis
title PhyTB: Phylogenetic tree visualisation and sample positioning for M. tuberculosis
title_full PhyTB: Phylogenetic tree visualisation and sample positioning for M. tuberculosis
title_fullStr PhyTB: Phylogenetic tree visualisation and sample positioning for M. tuberculosis
title_full_unstemmed PhyTB: Phylogenetic tree visualisation and sample positioning for M. tuberculosis
title_short PhyTB: Phylogenetic tree visualisation and sample positioning for M. tuberculosis
title_sort phytb: phylogenetic tree visualisation and sample positioning for m. tuberculosis
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4429496/
https://www.ncbi.nlm.nih.gov/pubmed/25968323
http://dx.doi.org/10.1186/s12859-015-0603-3
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