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Predicting pathogenicity behavior in Escherichia coli population through a state dependent model and TRS profiling

The Binary State Speciation and Extinction (BiSSE) model is a branching process based model that allows the diversification rates to be controlled by a binary trait. We develop a general approach, based on the BiSSE model, for predicting pathogenicity in bacterial populations from microsatellites pr...

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Detalles Bibliográficos
Autores principales: Bartoszek, Krzysztof, Majchrzak, Marta, Sakowski, Sebastian, Kubiak-Szeligowska, Anna B., Kaj, Ingemar, Parniewski, Pawel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5809097/
https://www.ncbi.nlm.nih.gov/pubmed/29385125
http://dx.doi.org/10.1371/journal.pcbi.1005931
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author Bartoszek, Krzysztof
Majchrzak, Marta
Sakowski, Sebastian
Kubiak-Szeligowska, Anna B.
Kaj, Ingemar
Parniewski, Pawel
author_facet Bartoszek, Krzysztof
Majchrzak, Marta
Sakowski, Sebastian
Kubiak-Szeligowska, Anna B.
Kaj, Ingemar
Parniewski, Pawel
author_sort Bartoszek, Krzysztof
collection PubMed
description The Binary State Speciation and Extinction (BiSSE) model is a branching process based model that allows the diversification rates to be controlled by a binary trait. We develop a general approach, based on the BiSSE model, for predicting pathogenicity in bacterial populations from microsatellites profiling data. A comprehensive approach for predicting pathogenicity in E. coli populations is proposed using the state-dependent branching process model combined with microsatellites TRS-PCR profiling. Additionally, we have evaluated the possibility of using the BiSSE model for estimating parameters from genetic data. We analyzed a real dataset (from 251 E. coli strains) and confirmed previous biological observations demonstrating a prevalence of some virulence traits in specific bacterial sub-groups. The method may be used to predict pathogenicity of other bacterial taxa.
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spelling pubmed-58090972018-02-28 Predicting pathogenicity behavior in Escherichia coli population through a state dependent model and TRS profiling Bartoszek, Krzysztof Majchrzak, Marta Sakowski, Sebastian Kubiak-Szeligowska, Anna B. Kaj, Ingemar Parniewski, Pawel PLoS Comput Biol Research Article The Binary State Speciation and Extinction (BiSSE) model is a branching process based model that allows the diversification rates to be controlled by a binary trait. We develop a general approach, based on the BiSSE model, for predicting pathogenicity in bacterial populations from microsatellites profiling data. A comprehensive approach for predicting pathogenicity in E. coli populations is proposed using the state-dependent branching process model combined with microsatellites TRS-PCR profiling. Additionally, we have evaluated the possibility of using the BiSSE model for estimating parameters from genetic data. We analyzed a real dataset (from 251 E. coli strains) and confirmed previous biological observations demonstrating a prevalence of some virulence traits in specific bacterial sub-groups. The method may be used to predict pathogenicity of other bacterial taxa. Public Library of Science 2018-01-31 /pmc/articles/PMC5809097/ /pubmed/29385125 http://dx.doi.org/10.1371/journal.pcbi.1005931 Text en © 2018 Bartoszek 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, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Bartoszek, Krzysztof
Majchrzak, Marta
Sakowski, Sebastian
Kubiak-Szeligowska, Anna B.
Kaj, Ingemar
Parniewski, Pawel
Predicting pathogenicity behavior in Escherichia coli population through a state dependent model and TRS profiling
title Predicting pathogenicity behavior in Escherichia coli population through a state dependent model and TRS profiling
title_full Predicting pathogenicity behavior in Escherichia coli population through a state dependent model and TRS profiling
title_fullStr Predicting pathogenicity behavior in Escherichia coli population through a state dependent model and TRS profiling
title_full_unstemmed Predicting pathogenicity behavior in Escherichia coli population through a state dependent model and TRS profiling
title_short Predicting pathogenicity behavior in Escherichia coli population through a state dependent model and TRS profiling
title_sort predicting pathogenicity behavior in escherichia coli population through a state dependent model and trs profiling
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5809097/
https://www.ncbi.nlm.nih.gov/pubmed/29385125
http://dx.doi.org/10.1371/journal.pcbi.1005931
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