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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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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. |
format | Online Article Text |
id | pubmed-5809097 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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