PLoS Computational Biology (Jan 2018)

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

  • Krzysztof Bartoszek,
  • Marta Majchrzak,
  • Sebastian Sakowski,
  • Anna B Kubiak-Szeligowska,
  • Ingemar Kaj,
  • Pawel Parniewski

DOI
https://doi.org/10.1371/journal.pcbi.1005931
Journal volume & issue
Vol. 14, no. 1
p. e1005931

Abstract

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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.