Literature DB >> 33961226

Phylogenetic Methods for Genome-Wide Association Studies in Bacteria.

Xavier Didelot1.   

Abstract

Genome-wide association studies in bacteria have great potential to deliver a better understanding of the genetic basis of many biologically important phenotypes, including antibiotic resistance, pathogenicity, and host adaptation. Such studies need however to account for the specificities of bacterial genomics, especially in terms of population structure, homologous recombination, and genomic plasticity. A powerful way to tackle this challenge is to use a phylogenetic approach, which is based on long-standing methodology for the evolutionary analysis of bacterial genomic data. Here we present both the theoretical and practical aspects involved in the use of phylogenetic methods for bacterial genome-wide association studies.

Keywords:  Bacterial evolution; Bacterial genomics; Genome-wide association study (GWAS); Phylogenetics; Population structure; Recombination

Year:  2021        PMID: 33961226     DOI: 10.1007/978-1-0716-1099-2_13

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  67 in total

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4.  Genomics. The genomic view of bacterial diversification.

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Review 5.  Sequence-based identification of microbial pathogens: a reconsideration of Koch's postulates.

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Review 6.  Twenty years of bacterial genome sequencing.

Authors:  Nicholas J Loman; Mark J Pallen
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Review 7.  A tutorial on statistical methods for population association studies.

Authors:  David J Balding
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Review 8.  Routine use of microbial whole genome sequencing in diagnostic and public health microbiology.

Authors:  Claudio U Köser; Matthew J Ellington; Edward J P Cartwright; Stephen H Gillespie; Nicholas M Brown; Mark Farrington; Matthew T G Holden; Gordon Dougan; Stephen D Bentley; Julian Parkhill; Sharon J Peacock
Journal:  PLoS Pathog       Date:  2012-08-02       Impact factor: 6.823

Review 9.  Transforming clinical microbiology with bacterial genome sequencing.

Authors:  Xavier Didelot; Rory Bowden; Daniel J Wilson; Tim E A Peto; Derrick W Crook
Journal:  Nat Rev Genet       Date:  2012-08-07       Impact factor: 53.242

Review 10.  Insights from genomics into bacterial pathogen populations.

Authors:  Daniel J Wilson
Journal:  PLoS Pathog       Date:  2012-09-06       Impact factor: 6.823

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  1 in total

1.  A graph-based approach for the visualisation and analysis of bacterial pangenomes.

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  1 in total

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