Detecting signatures of positive selection in non-model species using genomic data
نویسندگان
چکیده
منابع مشابه
Detecting natural selection in genomic data.
The past fifty years have seen the development and application of numerous statistical methods to identify genomic regions that appear to be shaped by natural selection. These methods have been used to investigate the macro- and microevolution of a broad range of organisms, including humans. Here, we provide a comprehensive outline of these methods, explaining their conceptual motivations and s...
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The detection of "signatures of selection" is now possible on a genome-wide scale in many plant and animal species, and can be performed in a population-specific manner due to the wealth of per-population genome-wide genotype data that is available. With genomic regions that exhibit evidence of having been under selection shown to also be enriched for genes associated with biologically importan...
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To characterize natural selection, various analytical methods for detecting candidate genomic regions have been developed. We propose to perform genome-wide scans of natural selection using principal component analysis (PCA). We show that the common FST index of genetic differentiation between populations can be viewed as the proportion of variance explained by the principal components. Conside...
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چکیده ندارد.
Detecting signatures of selection from DNA sequences using Datamonkey.
Natural selection is a fundamental process affecting all evolving populations. In the simplest case, positive selection increases the frequency of alleles that confer a fitness advantage relative to the rest of the population, or increases its genetic diversity, and negative selection removes those alleles that are deleterious. Codon-based models of molecular evolution are able to infer signatu...
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ژورنال
عنوان ژورنال: Zoological Journal of the Linnean Society
سال: 2018
ISSN: 0024-4082,1096-3642
DOI: 10.1093/zoolinnean/zly007