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The impact of host metapopulation structure on the population genetics of colonizing bacteria.
Numminen, Elina; Gutmann, Michael; Shubin, Mikhail; Marttinen, Pekka; Méric, Guillaume; van Schaik, Willem; Coque, Teresa M; Baquero, Fernando; Willems, Rob J L; Sheppard, Samuel K; Feil, Edward J; Hanage, William P; Corander, Jukka.
Afiliação
  • Numminen E; Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland.
  • Gutmann M; Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland; Helsinki Institute for Information Technology HIIT, Department of Information and Computer Science, Aalto University, Finland.
  • Shubin M; Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland.
  • Marttinen P; Helsinki Institute for Information Technology HIIT, Department of Information and Computer Science, Aalto University, Finland.
  • Méric G; College of Medicine, Swansea University, Institute of Life Science, Swansea, UK.
  • van Schaik W; Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Coque TM; Department of Microbiology, Ramón y Cajal University Hospital, Madrid, Spain.
  • Baquero F; Department of Microbiology, Ramón y Cajal University Hospital, Madrid, Spain.
  • Willems RJ; Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Sheppard SK; College of Medicine, Swansea University, Institute of Life Science, Swansea, UK.
  • Feil EJ; Department of Biology and Biochemistry, University of Bath, Claverton Down, Bath, UK.
  • Hanage WP; Center for Communicable Disease Dynamics, Harvard School of Public Health, Boston, MA, USA.
  • Corander J; Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland.
J Theor Biol ; 396: 53-62, 2016 May 07.
Article em En | MEDLINE | ID: mdl-26916623
ABSTRACT
Many key bacterial pathogens are frequently carried asymptomatically, and the emergence and spread of these opportunistic pathogens can be driven, or mitigated, via demographic changes within the host population. These inter-host transmission dynamics combine with basic evolutionary parameters such as rates of mutation and recombination, population size and selection, to shape the genetic diversity within bacterial populations. Whilst many studies have focused on how molecular processes underpin bacterial population structure, the impact of host migration and the connectivity of the local populations has received far less attention. A stochastic neutral model incorporating heightened local transmission has been previously shown to fit closely with genetic data for several bacterial species. However, this model did not incorporate transmission limiting population stratification, nor the possibility of migration of strains between subpopulations, which we address here by presenting an extended model. We study the consequences of migration in terms of shared genetic variation and show by simulation that the previously used summary statistic, the allelic mismatch distribution, can be insensitive to even large changes in microepidemic and migration rates. Using likelihood-free inference with genotype network topological summaries we fit a simpler model to commensal and hospital samples from the common nosocomial pathogens Staphylococcus aureus, Staphylococcus epidermidis, Enterococcus faecalis and Enterococcus faecium. Only the hospital data for E. faecium display clearly marked deviations from the model predictions which may be attributable to its adaptation to the hospital environment.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bactérias / Modelos Genéticos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bactérias / Modelos Genéticos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article