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PMID: 23657479 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S. Review

Understanding the origin of species with genome-scale data: modelling gene flow.

Nature reviews. Genetics ·Vol. 14 ·No. 6 ·2013-06-00 ·Pages 404-14

Sousa V, Hey J

Abstract

As it becomes easier to sequence multiple genomes from closely related species, evolutionary biologists working on speciation are struggling to get the most out of very large population genomic data sets. Such data hold the potential to resolve long-standing questions in evolutionary biology about the role of gene exchange in species formation. In principle, the new population genomic data can be used to disentangle the conflicting roles of natural selection and gene flow during the divergence process. However, there are great challenges in taking full advantage of such data, especially with regard to including recombination in genetic models of the divergence process. Current data, models, methods and the potential pitfalls in using them will be considered here.

MeSH Terms
Animals Evolution, Molecular Gene Flow Gene Frequency Genetic Speciation Genome, Human Humans Likelihood Functions Linkage Disequilibrium Models, Genetic Polymorphism, Genetic
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Sousa Vitor
Department of Genetics, Rutgers, the State University of New Jersey, Piscataway, New Jersey 08854, USA.
Hey Jody
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Article Info
Journal
Nature reviews. Genetics
Abbr.
Nat Rev Genet
ISSN
1471-0064
DOI
10.1038/nrg3446
Published
2013-06-00
Epub
2013-00-09
Pages
404-14
Language
English
Region
England
NLM ID
100962779
PMCID
PMC5568773
Subset
IM
Grants
NIGMS NIH HHS · R01 GM078204 · United States
External Links
PubMed source DOI: 10.1038/nrg3446 PMC Full Text View journal details
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