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• W2107198312 abstract "Convergent evolution represents one of the best lines of evidence for adaptation, but few cases of phenotypic convergence are understood at the genetic level. Guppies inhabiting the Northern Mountain Range of Trinidad provide a classic example of phenotypic convergent evolution, where adaptation to low or high predation environments has been found for a variety of traits. A major advantage of this system is the possibility of long-term experimental studies in nature, including transplantation from high to low predation sites. We used genome scans of guppies from three natural high and low predation populations and from two experimentally established populations and their sources to examine whether phenotypic convergent evolution leaves footprints at the genome level. We used population-genetic modelling approaches to reconstruct the demographic history and migration among sampled populations. Naturally colonized low predation populations had signatures of increased effective population size since colonization, while introduction populations had signatures of decreased effective population size. Only a small number of regions across the genome had signatures of selection in all natural populations. However, the two experimental populations shared many genomic regions under apparent selection, more than expected by chance. This overlap coupled with a population decrease since introduction provides evidence for convergent selection occurring in the two introduced populations. The lack of genetic convergence in the natural populations suggests that convergent evolution is lacking in these populations or that the effects of selection become difficult to detect after a long-time period." @default.
• W2107198312 created "2016-06-24" @default.
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• W2107198312 creator A5087866745 @default.
• W2107198312 date "2015-01-01" @default.
• W2107198312 modified "2023-10-06" @default.
• W2107198312 title "Population genomics of natural and experimental populations of guppies (<i>Poecilia reticulata</i>)" @default.
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• W2107198312 doi "https://doi.org/10.1111/mec.13022" @default.
• W2107198312 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25444454" @default.
• W2107198312 hasPublicationYear "2015" @default.
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