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ZENODO
Dataset . 2016
License: CC 0
Data sources: ZENODO
DRYAD
Dataset . 2016
License: CC 0
Data sources: Datacite
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Data from: Unexpected but welcome. Artificially selected traits may increase fitness in wild boar

Authors: Fulgione, Domenico; Rippa, Daniela; Buglione, Maria; Trapanese, Martina; Petrelli, Simona; Maselli, Valeria;

Data from: Unexpected but welcome. Artificially selected traits may increase fitness in wild boar

Abstract

Artificial selection affects phenotypes differently by natural selection. Domestic traits, which pass into the wild, are usually negatively selected. Yet, exceptionally, this axiom may fail to apply if genes, from the domestic animals, increase fertility in the wild. We studied a rare case of a wild boar population under the framework of Wright's interdemic selection model, which could explain gene flow between wild boar and pig, both considered as demes. We analysed the MC1R gene and microsatellite neutral loci in 62 pregnant wild boars as markers of hybridization, and we correlated nucleotide mutations on MC1R (which are common in domestic breeds) to litter size, as an evaluation of fitness in wild sow. Regardless of body size and phyletic effects, wild boar sows bearing nonsynonymous MC1R mutations produced larger litters. This directly suggests that artificially selected traits reaching wild populations, through interdemic gene flow, could bypass natural selection if and only if they increase the fitness in the wild.

MC1R alignment_Fulgione et al. 2016.fastaMC1R sequences of pregnant wild boar samples collectedmtDNA alignment_Fulgione et al. 2016mtDNA sequences of pregnant wild boar samples collected

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Keywords

pig, Development and Evolution, Holocene, Sus scrofa, Wildlife Management, wild boar

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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