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Open AccessJournal ArticleDOI

Porcine colonization of the Americas: a 60k SNP story

TLDR
In this paper, the authors provided a genome wide study of these issues by genotyping, with a 60k SNP chip, 206 village pigs sampled across 14 countries and 183 pigs from outgroup breeds that are potential founders of American populations, including wild boar, Iberian, international and Chinese breeds.
Abstract
The pig, Sus scrofa, is a foreign species to the American continent. Although pigs originally introduced in the Americas should be related to those from the Iberian Peninsula and Canary islands, the phylogeny of current creole pigs that now populate the continent is likely to be very complex. Because of the extreme climates that America harbors, these populations also provide a unique example of a fast evolutionary phenomenon of adaptation. Here, we provide a genome wide study of these issues by genotyping, with a 60k SNP chip, 206 village pigs sampled across 14 countries and 183 pigs from outgroup breeds that are potential founders of the American populations, including wild boar, Iberian, international and Chinese breeds. Results show that American village pigs are primarily of European ancestry, although the observed genetic landscape is that of a complex conglomerate. There was no correlation between genetic and geographical distances, neither continent wide nor when analyzing specific areas. Most populations showed a clear admixed structure where the Iberian pig was not necessarily the main component, illustrating how international breeds, but also Chinese pigs, have contributed to extant genetic composition of American village pigs. We also observe that many genes related to the cardiovascular system show an increased differentiation between altiplano and genetically related pigs living near sea level.

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Citations
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Population history and genomic signatures for high-altitude adaptation in Tibetan pigs

TL;DR: Tibetan pig populations have experienced substantial genetic differentiation during the long history of colonization in the Plateau and have developed a complex biological adaptation mechanism that could be different from that of Tibetans and other animals.
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The Evolution of Suidae

TL;DR: The current knowledge of this fascinating group of Cetartiodactyla is reviewed and a comprehensive evolutionary history from the Oligocene to the present day is provided.
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Comparative aspects of rodent and nonrodent animal models for mechanistic and translational diabetes research.

TL;DR: In this review, anatomic, biochemical, physiological, and morphologic aspects relevant to diabetes research will be compared between different animal species, that is, mouse, rat, rabbit, pig, and non-human primates.
References
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Journal ArticleDOI

Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources.

TL;DR: By following this protocol, investigators are able to gain an in-depth understanding of the biological themes in lists of genes that are enriched in genome-scale studies.
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PLINK: A Tool Set for Whole-Genome Association and Population-Based Linkage Analyses

TL;DR: This work introduces PLINK, an open-source C/C++ WGAS tool set, and describes the five main domains of function: data management, summary statistics, population stratification, association analysis, and identity-by-descent estimation, which focuses on the estimation and use of identity- by-state and identity/descent information in the context of population-based whole-genome studies.
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Principal components analysis corrects for stratification in genome-wide association studies

TL;DR: This work describes a method that enables explicit detection and correction of population stratification on a genome-wide scale and uses principal components analysis to explicitly model ancestry differences between cases and controls.
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Fast model-based estimation of ancestry in unrelated individuals

TL;DR: The results show that ADMIXTURE's computational speed opens up the possibility of using a much larger set of markers in model-based ancestry estimation and that its estimates are suitable for use in correcting for population stratification in association studies.
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adegenet: a R package for the multivariate analysis of genetic markers

TL;DR: The package adegenet for the R software is dedicated to the multivariate analysis of genetic markers by implementing formal classes and functions to manipulate and analyse genetic markers.
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