Abstract

Assessing footprints of natural selection through PCA analysis in cattle

Highlights

  • The development of sequencing and genotyping technologies will make possible to answer many important biological questions in conservation genetics that have been intractable until now

  • In order to provide a list of variants that are potentially involved in natural selection, genome scans measure the genetic differentiation between populations considering that extreme values correspond to candidate regions (Duforet-Frebourg et al, 2015)

  • An alternative approach based on PCA analysis (DuforetFrebourg et al, 2014; Duforet-Frebourg et al, 2015) has been used to determine the population structure without a priori information about population subdivision and to perform genome scan to identify SNPs associated to local adaptation in cattle

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Summary

Introduction

The development of sequencing and genotyping technologies will make possible to answer many important biological questions in conservation genetics that have been intractable until now. The cattle genome represents a valuable source for identifying genetic variation that contributes to evaluation of phenotypic diversity. A challenge of genome-wide analysis is to determine patterns of nucleotide variation that can be explained by random drift versus selection pressure. The process by which organisms that are best adapted to their environment have an increased contribution of genetic variants to future generations, acts in at least three ways: positive, purifying and balancing selection (Oleksyk et al, 2010; Martins et al, 2016). Positive natural selection or local adaptation is the driving force behind the adaptation of individuals to their environment. High levels of differentiation can have various causes, adaptation of individuals to their local environment is a prominent explanation to such patterns of differentiation for adaptive loci exceeding neutral expectations (DuforetFrebourg et al, 2014)

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