Navigating the future of bacterial molecular epidemiology.

Technological advances in high-throughput genome sequencing have led to an enhanced appreciation of the genetic diversity found within populations of pathogenic bacteria. Methods based on single nucleotide polymorphisms (SNPs) and insertions or deletions (indels) build upon the framework established...

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Main Authors: Baker, S, Hanage, W, Holt, K
Format: Journal article
Language:English
Published: 2010
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author Baker, S
Hanage, W
Holt, K
author_facet Baker, S
Hanage, W
Holt, K
author_sort Baker, S
collection OXFORD
description Technological advances in high-throughput genome sequencing have led to an enhanced appreciation of the genetic diversity found within populations of pathogenic bacteria. Methods based on single nucleotide polymorphisms (SNPs) and insertions or deletions (indels) build upon the framework established by multi-locus sequence typing (MLST) and permit a detailed, targeted analysis of variation within related organisms. Robust phylogenetics, when combined with epidemiologically informative data, can be applied to study ongoing temporal and geographical fluctuations in bacterial pathogens. As genome sequencing, SNP detection and geospatial information become more accessible these methods will continue to transform the way molecular epidemiology is used to study populations of bacterial pathogens.
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spelling oxford-uuid:3f125e1a-c945-4c11-a4eb-347795e20b612022-03-26T14:29:39ZNavigating the future of bacterial molecular epidemiology.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:3f125e1a-c945-4c11-a4eb-347795e20b61EnglishSymplectic Elements at Oxford2010Baker, SHanage, WHolt, KTechnological advances in high-throughput genome sequencing have led to an enhanced appreciation of the genetic diversity found within populations of pathogenic bacteria. Methods based on single nucleotide polymorphisms (SNPs) and insertions or deletions (indels) build upon the framework established by multi-locus sequence typing (MLST) and permit a detailed, targeted analysis of variation within related organisms. Robust phylogenetics, when combined with epidemiologically informative data, can be applied to study ongoing temporal and geographical fluctuations in bacterial pathogens. As genome sequencing, SNP detection and geospatial information become more accessible these methods will continue to transform the way molecular epidemiology is used to study populations of bacterial pathogens.
spellingShingle Baker, S
Hanage, W
Holt, K
Navigating the future of bacterial molecular epidemiology.
title Navigating the future of bacterial molecular epidemiology.
title_full Navigating the future of bacterial molecular epidemiology.
title_fullStr Navigating the future of bacterial molecular epidemiology.
title_full_unstemmed Navigating the future of bacterial molecular epidemiology.
title_short Navigating the future of bacterial molecular epidemiology.
title_sort navigating the future of bacterial molecular epidemiology
work_keys_str_mv AT bakers navigatingthefutureofbacterialmolecularepidemiology
AT hanagew navigatingthefutureofbacterialmolecularepidemiology
AT holtk navigatingthefutureofbacterialmolecularepidemiology