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Bacterial genomic epidemiology with mixed samples.
Mäklin, Tommi; Kallonen, Teemu; Alanko, Jarno; Samuelsen, Ørjan; Hegstad, Kristin; Mäkinen, Veli; Corander, Jukka; Heinz, Eva; Honkela, Antti.
Afiliação
  • Mäklin T; Helsinki Institute for Information Technology HIIT, Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland.
  • Kallonen T; Department of Biostatistics, University of Oslo, Oslo, Norway.
  • Alanko J; Wellcome Sanger Institute, Hinxton, Cambridgeshire, UK.
  • Samuelsen Ø; Helsinki Institute for Information Technology HIIT, Department of Computer Science, University of Helsinki, Helsinki, Finland.
  • Hegstad K; Norwegian National Advisory Unit on Detection of Antimicrobial Resistance, Department of Microbiology and Infection Control, University Hospital of North Norway, Tromsø, Norway.
  • Mäkinen V; Department of Pharmacy, UT The Arctic University of Norway, Tromsø, Norway.
  • Corander J; Norwegian National Advisory Unit on Detection of Antimicrobial Resistance, Department of Microbiology and Infection Control, University Hospital of North Norway, Tromsø, Norway.
  • Heinz E; Research group for Host-Microbe Interactions, Department of Medical Biology, Faculty of Health Sciences, UT The Arctic University of Norway, Tromsø, Norway.
  • Honkela A; Helsinki Institute for Information Technology HIIT, Department of Computer Science, University of Helsinki, Helsinki, Finland.
Microb Genom ; 7(11)2021 11.
Article em En | MEDLINE | ID: mdl-34779765
ABSTRACT
Genomic epidemiology is a tool for tracing transmission of pathogens based on whole-genome sequencing. We introduce the mGEMS pipeline for genomic epidemiology with plate sweeps representing mixed samples of a target pathogen, opening the possibility to sequence all colonies on selective plates with a single DNA extraction and sequencing step. The pipeline includes the novel mGEMS read binner for probabilistic assignments of sequencing reads, and the scalable pseudoaligner Themisto. We demonstrate the effectiveness of our approach using closely related samples in a nosocomial setting, obtaining results that are comparable to those based on single-colony picks. Our results lend firm support to more widespread consideration of genomic epidemiology with mixed infection samples.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genoma Bacteriano / Genômica Tipo de estudo: Screening_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Genoma Bacteriano / Genômica Tipo de estudo: Screening_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article