University Library
  • Login
A gateway to Melbourne's research publications
Minerva Access is the University's Institutional Repository. It aims to collect, preserve, and showcase the intellectual output of staff and students of the University of Melbourne for a global audience.
View Item 
  • Minerva Access
  • Veterinary and Agricultural Sciences
  • Agriculture and Food Systems
  • Agriculture and Food Systems - Research Publications
  • View Item
  • Minerva Access
  • Veterinary and Agricultural Sciences
  • Agriculture and Food Systems
  • Agriculture and Food Systems - Research Publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

    Multiple-trait QTL mapping and genomic prediction for wool traits in sheep

    Thumbnail
    Download
    published version (3.891Mb)

    Citations
    Scopus
    Web of Science
    Altmetric
    10
    11
    Author
    Bolormaa, S; Swan, AA; Brown, DJ; Hatcher, S; Moghaddar, N; van der Werf, JH; Goddard, ME; Daetwyler, HD
    Date
    2017-08-15
    Source Title
    Genetics Selection Evolution
    Publisher
    BMC
    University of Melbourne Author/s
    Goddard, Michael
    Affiliation
    Agriculture and Food Systems
    Metadata
    Show full item record
    Document Type
    Journal Article
    Citations
    Bolormaa, S., Swan, A. A., Brown, D. J., Hatcher, S., Moghaddar, N., van der Werf, J. H., Goddard, M. E. & Daetwyler, H. D. (2017). Multiple-trait QTL mapping and genomic prediction for wool traits in sheep. GENETICS SELECTION EVOLUTION, 49 (1), https://doi.org/10.1186/s12711-017-0337-y.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/256875
    DOI
    10.1186/s12711-017-0337-y
    Abstract
    BACKGROUND: The application of genomic selection to sheep breeding could lead to substantial increases in profitability of wool production due to the availability of accurate breeding values from single nucleotide polymorphism (SNP) data. Several key traits determine the value of wool and influence a sheep's susceptibility to fleece rot and fly strike. Our aim was to predict genomic estimated breeding values (GEBV) and to compare three methods of combining information across traits to map polymorphisms that affect these traits. METHODS: GEBV for 5726 Merino and Merino crossbred sheep were calculated using BayesR and genomic best linear unbiased prediction (GBLUP) with real and imputed 510,174 SNPs for 22 traits (at yearling and adult ages) including wool production and quality, and breech conformation traits that are associated with susceptibility to fly strike. Accuracies of these GEBV were assessed using fivefold cross-validation. We also devised and compared three approximate multi-trait analyses to map pleiotropic quantitative trait loci (QTL): a multi-trait genome-wide association study and two multi-trait methods that use the output from BayesR analyses. One BayesR method used local GEBV for each trait, while the other used the posterior probabilities that a SNP had an effect on each trait. RESULTS: BayesR and GBLUP resulted in similar average GEBV accuracies across traits (~0.22). BayesR accuracies were highest for wool yield and fibre diameter (>0.40) and lowest for skin quality and dag score (<0.10). Generally, accuracy was higher for traits with larger reference populations and higher heritability. In total, the three multi-trait analyses identified 206 putative QTL, of which 20 were common to the three analyses. The two BayesR multi-trait approaches mapped QTL in a more defined manner than the multi-trait GWAS. We identified genes with known effects on hair growth (i.e. FGF5, STAT3, KRT86, and ALX4) near SNPs with pleiotropic effects on wool traits. CONCLUSIONS: The mean accuracy of genomic prediction across wool traits was around 0.22. The three multi-trait analyses identified 206 putative QTL across the ovine genome. Detailed phenotypic information helped to identify likely candidate genes.

    Export Reference in RIS Format     

    Endnote

    • Click on "Export Reference in RIS Format" and choose "open with... Endnote".

    Refworks

    • Click on "Export Reference in RIS Format". Login to Refworks, go to References => Import References


    Collections
    • Minerva Elements Records [45689]
    • Agriculture and Food Systems - Research Publications [542]
    Minerva AccessDepositing Your Work (for University of Melbourne Staff and Students)NewsFAQs

    BrowseCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects
    My AccountLoginRegister
    StatisticsMost Popular ItemsStatistics by CountryMost Popular Authors