Literature DB >> 20831557

Effective population size of an indigenous Swiss cattle breed estimated from linkage disequilibrium.

C Flury1, M Tapio, T Sonstegard, C Drögemüller, T Leeb, H Simianer, O Hanotte, S Rieder.   

Abstract

Effective population size is an important parameter for the assessment of genetic diversity within a livestock population and its development over time. If pedigree information is not available, linkage disequilibrium (LD) analysis might offer an alternative perspective for the estimation of effective population size. In this study, 128 individuals of the Swiss Eringer breed were genotyped using the Illumina BovineSNP50 beadchip. We set bin size at 50 kb for LD analysis, assuming that LD for proximal single nucleotide polymorphism (SNP)-pairs reflects distant breeding history while LD from distal SNP-pairs would reflect near history. Recombination rates varied among different regions of the genome. The use of physical distances as an approximation of genetic distances (e.g. setting 1 Mb = 0.01 Morgan) led to an upward bias in LD-based estimates of effective population size for generations beyond 50, while estimates for recent history were unaffected. Correction for restricted sample size did not substantially affect these results. LD-based actual effective population size was estimated in the range of 87-149, whereas pedigree-based effective population size resulted in 321 individuals. For conservation purposes, requiring knowledge of recent history (<50 generations), approximation assuming constant recombination rate seemed adequate. Copyright 2010 Blackwell Verlag GmbH.

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Year:  2010        PMID: 20831557     DOI: 10.1111/j.1439-0388.2010.00862.x

Source DB:  PubMed          Journal:  J Anim Breed Genet        ISSN: 0931-2668            Impact factor:   2.380


  29 in total

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8.  SNeP: a tool to estimate trends in recent effective population size trajectories using genome-wide SNP data.

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9.  Effective Population Size and Signatures of Selection Using Bovine 50K SNP Chips in Korean Native Cattle (Hanwoo).

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Journal:  Heredity (Edinb)       Date:  2014-04-16       Impact factor: 3.821

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