Literature DB >> 12429687

Recombination in evolutionary genomics.

David Posada1, Keith A Crandall, Edward C Holmes.   

Abstract

Recombination can be a dominant force in shaping genomes and associated phenotypes. To better understand the impact of recombination on genomic evolution, we need to be able to identify recombination in aligned sequences. We review bioinformatic approaches for detecting recombination and measuring recombination rates. We also examine the impact of recombination on the reconstruction of evolutionary histories and the estimation of population genetic parameters. Finally, we review the role of recombination in the evolutionary history of bacteria, viruses, and human mitochondria. We conclude by highlighting a number of areas for future development of tools to help quantify the role of recombination in genomic evolution.

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Year:  2002        PMID: 12429687     DOI: 10.1146/annurev.genet.36.040202.111115

Source DB:  PubMed          Journal:  Annu Rev Genet        ISSN: 0066-4197            Impact factor:   16.830


  105 in total

1.  Finding haplotype block boundaries by using the minimum-description-length principle.

Authors:  Eric C Anderson; John Novembre
Journal:  Am J Hum Genet       Date:  2003-07-11       Impact factor: 11.025

2.  Recombination shapes the structure of an environmental Vibrio cholerae population.

Authors:  Daniel P Keymer; Alexandria B Boehm
Journal:  Appl Environ Microbiol       Date:  2010-11-12       Impact factor: 4.792

3.  Gene conversion and functional divergence in the beta-globin gene family.

Authors:  Gabriela Aguileta; Joseph P Bielawski; Ziheng Yang
Journal:  J Mol Evol       Date:  2004-08       Impact factor: 2.395

4.  Evidence of recombination in the norovirus capsid gene.

Authors:  Jacques Rohayem; Julia Münch; Axel Rethwilm
Journal:  J Virol       Date:  2005-04       Impact factor: 5.103

5.  Mosaic nature of the wolbachia surface protein.

Authors:  Laura Baldo; Nathan Lo; John H Werren
Journal:  J Bacteriol       Date:  2005-08       Impact factor: 3.490

6.  Population genetics of microbial pathogens estimated from multilocus sequence typing (MLST) data.

Authors:  Marcos Pérez-Losada; Emily B Browne; Aaron Madsen; Thierry Wirth; Raphael P Viscidi; Keith A Crandall
Journal:  Infect Genet Evol       Date:  2005-03-24       Impact factor: 3.342

Review 7.  New methods for inferring population dynamics from microbial sequences.

Authors:  Marcos Pérez-Losada; Megan L Porter; Loubna Tazi; Keith A Crandall
Journal:  Infect Genet Evol       Date:  2006-04-19       Impact factor: 3.342

8.  Recombination estimation under complex evolutionary models with the coalescent composite-likelihood method.

Authors:  Antonio Carvajal-Rodríguez; Keith A Crandall; David Posada
Journal:  Mol Biol Evol       Date:  2006-02-01       Impact factor: 16.240

9.  An exact nonparametric method for inferring mosaic structure in sequence triplets.

Authors:  Maciej F Boni; David Posada; Marcus W Feldman
Journal:  Genetics       Date:  2007-04-03       Impact factor: 4.562

10.  Concerted evolution of a tandemly arrayed family of mating-specific genes in Phytophthora analyzed through inter- and intraspecific comparisons.

Authors:  Cristina Cvitanich; Martha Salcido; Howard S Judelson
Journal:  Mol Genet Genomics       Date:  2005-12-02       Impact factor: 3.291

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