Literature DB >> 16782339

Genome-wide association mapping in bacteria?

Daniel Falush1, Rory Bowden.   

Abstract

Bacteria display many interesting phenotypes such as virulence, tissue specificity and host range, for which it would be useful to know the genetic basis. Association mapping involves identifying causal variants by showing that particular genotypes are statistically associated with a phenotypic trait in a sample of strains taken from a natural population. With the advent of high-throughput genotyping, association mapping is becoming an increasingly powerful approach. However, until recently, association studies had not been used in bacteria because of their strong population structure, which can produce false positives and/or loss of statistical power unless elucidated and taken into account in analyses. Here, we describe how association mapping could be successfully applied to bacteria and outline the necessary sampling and genotyping strategies.

Mesh:

Year:  2006        PMID: 16782339     DOI: 10.1016/j.tim.2006.06.003

Source DB:  PubMed          Journal:  Trends Microbiol        ISSN: 0966-842X            Impact factor:   17.079


  39 in total

Review 1.  Microbial Speciation.

Authors:  B Jesse Shapiro; Martin F Polz
Journal:  Cold Spring Harb Perspect Biol       Date:  2015-09-09       Impact factor: 10.005

2.  Inference of bacterial microevolution using multilocus sequence data.

Authors:  Xavier Didelot; Daniel Falush
Journal:  Genetics       Date:  2006-12-06       Impact factor: 4.562

3.  Frequent emergence and limited geographic dispersal of methicillin-resistant Staphylococcus aureus.

Authors:  Ulrich Nübel; Philippe Roumagnac; Mirjam Feldkamp; Jae-Hoon Song; Kwan Soo Ko; Yhu-Chering Huang; Geoffrey Coombs; Margaret Ip; Henrik Westh; Robert Skov; Marc J Struelens; Richard V Goering; Birgit Strommenger; Annette Weller; Wolfgang Witte; Mark Achtman
Journal:  Proc Natl Acad Sci U S A       Date:  2008-09-04       Impact factor: 11.205

4.  Phylogenetic Methods for Genome-Wide Association Studies in Bacteria.

Authors:  Xavier Didelot
Journal:  Methods Mol Biol       Date:  2021

Review 5.  Ordering microbial diversity into ecologically and genetically cohesive units.

Authors:  B Jesse Shapiro; Martin F Polz
Journal:  Trends Microbiol       Date:  2014-03-13       Impact factor: 17.079

6.  Population genomics of Sinorhizobium medicae based on low-coverage sequencing of sympatric isolates.

Authors:  Xavier Bailly; Elisa Giuntini; M Connor Sexton; Ryan P J Lower; Peter W Harrison; Nitin Kumar; J Peter W Young
Journal:  ISME J       Date:  2011-05-12       Impact factor: 10.302

7.  High-throughput sequencing provides insights into genome variation and evolution in Salmonella Typhi.

Authors:  Kathryn E Holt; Julian Parkhill; Camila J Mazzoni; Philippe Roumagnac; François-Xavier Weill; Ian Goodhead; Richard Rance; Stephen Baker; Duncan J Maskell; John Wain; Christiane Dolecek; Mark Achtman; Gordon Dougan
Journal:  Nat Genet       Date:  2008-07-27       Impact factor: 38.330

8.  Genealogical typing of Neisseria meningitidis.

Authors:  Xavier Didelot; Rachel Urwin; Martin C J Maiden; Daniel Falush
Journal:  Microbiology (Reading)       Date:  2009-07-30       Impact factor: 2.777

Review 9.  Meningococcal carriage and disease--population biology and evolution.

Authors:  Dominique A Caugant; Martin C J Maiden
Journal:  Vaccine       Date:  2009-05-21       Impact factor: 3.641

10.  Detecting SNPs and estimating allele frequencies in clonal bacterial populations by sequencing pooled DNA.

Authors:  Kathryn E Holt; Yik Y Teo; Heng Li; Satheesh Nair; Gordon Dougan; John Wain; Julian Parkhill
Journal:  Bioinformatics       Date:  2009-06-03       Impact factor: 6.937

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