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

Krzysztof BartoszekMarta MajchrzakSebastian SakowskiAnna B Kubiak-SzeligowskaIngemar KajPawel Parniewski
Published in: PLoS computational biology (2018)
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.
Keyphrases
  • escherichia coli
  • biofilm formation
  • staphylococcus aureus
  • single cell
  • electronic health record
  • ionic liquid
  • dna methylation
  • gene expression
  • big data
  • multidrug resistant
  • deep learning
  • artificial intelligence