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Bacterial genomic epidemiology with mixed samples
- 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.
- Subjects :
- STRATEGIES
pseudoalignment
DIVERSITY
Computational biology
Biology
genomic epidemiology
METAGENOMICS
CULTURE
EMERGENCE
03 medical and health sciences
SINGLE-CELL
Methods
Probabilistic modelling
ALGORITHM
POPULATION-STRUCTURE
R PACKAGE
qu_460
pathogen surveillance
030304 developmental biology
11832 Microbiology and virology
Genomic Methodologies
0303 health sciences
Whole Genome Sequencing
030306 microbiology
1184 Genetics, developmental biology, physiology
General Medicine
Genomics
DNA extraction
plate sweeps
3. Good health
ESCHERICHIA-COLI
qw_50
probabilistic modelling
qu_470
Sequence Analysis
Genome, Bacterial
Mixed infection
Subjects
Details
- Language :
- English
- ISSN :
- 20575858
- Database :
- OpenAIRE
- Journal :
- Microbial Genomics
- Accession number :
- edsair.doi.dedup.....6c9d9575ba0eb02b52226c1db73fe5b6