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Bacterial genomic epidemiology with mixed samples

Authors :
Tommi Mäklin
Teemu Kallonen
Kristin Hegstad
Veli Mäkinen
Ørjan Samuelsen
Antti Honkela
Jukka Corander
Eva Heinz
Jarno Alanko
Department of Mathematics and Statistics
Department of Computer Science
Source :
Microbial Genomics
Publication Year :
2021
Publisher :
Microbiology Society, 2021.

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.

Details

Language :
English
ISSN :
20575858
Database :
OpenAIRE
Journal :
Microbial Genomics
Accession number :
edsair.doi.dedup.....6c9d9575ba0eb02b52226c1db73fe5b6