Detecting positive selection in the genome

Population geneticists have long sought to understand the contribution of natural selection to molecular evolution. A variety of approaches have been proposed that use population genetics theory to quantify the rate and strength of positive selection acting in a species' genome. In this review...

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Bibliographic Details
Published in:BMC biology 2017-10, Vol.15 (1), p.98-98, Article 98
Main Authors: Booker, Tom R, Jackson, Benjamin C, Keightley, Peter D
Format: Article
Language:English
Subjects:
Adaptation
Biodiversity
Biological evolution
Data processing
Divergence
Evolution
Evolution, Molecular
Evolutionary genetics
Gene mutation
Genes
Genetic aspects
Genetic diversity
Genetic Variation
Genetics
Genetics, Population - methods
Genome
Genomes
Haplotypes
Hypotheses
Identification and classification
Insects
Molecular evolution
Mutation
Natural selection
Parameter estimation
Physiological aspects
Population
Population genetics
Positive selection
Review
Selection, Genetic
Species diversity
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Summary:Population geneticists have long sought to understand the contribution of natural selection to molecular evolution. A variety of approaches have been proposed that use population genetics theory to quantify the rate and strength of positive selection acting in a species' genome. In this review we discuss methods that use patterns of between-species nucleotide divergence and within-species diversity to estimate positive selection parameters from population genomic data. We also discuss recently proposed methods to detect positive selection from a population's haplotype structure. The application of these tests has resulted in the detection of pervasive adaptive molecular evolution in multiple species.
ISSN:1741-7007
1741-7007
DOI:10.1186/s12915-017-0434-y