Application of integrative genomics and systems biology to conventional and in vitro reproductive traits in cattle

Gianluca Mazzoni, Hanne S. Pedersen, Gerson A. de Oliveira Junior, Pamela Alexandre, Eduardo M. Razza, Henrik Callesen, Poul Hyttel, Marcelo F. G. Nogueira, Jose Bento S. Ferraz, Haja Kadarmideen

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    Abstract

    Assisted reproductive technologies (ARTs) have a strong impact on breeding especially when coupled with genomic selection (GS). The routine implementation of in vitro production (IVP) and GS of embryos before embryo transfer (ET) in breeding companies is not yet possible. Improvement of oocyte donor and embryo recipient quality is needed to make realistic a commercialization of these procedures in the near future. A better understanding of both biological mechanisms and molecular markers associated to IVPET related traits is necessary to improve the prediction of donor and recipient cow quality for IVP procedures. The huge amount of data generated from high throughput technologies has a tremendous impact in the search for biomarkers of complex traits. This paper reviews integrative genomics and systems biology approaches as applied to both Bos indicus and Bos taurus cattle reproduction by both conventional and ARTs such as OPU-IVP. The integration of systems biology information across different biological layers generates a complete view of the different molecular networks that control complex traits and can provide a strong contribution to the understanding of traits related to ARTs.
    Original languageEnglish
    Title of host publicationProceedings of the 31st Annual Meeting of the Brazilian Embryo Technology Society (SBTE)
    Number of pages7
    Volume14
    Publication date2017
    Pages507-513
    DOIs
    Publication statusPublished - 2017
    Event31st Annual Meeting of the Brazilian Embryo Technology Society - , Brazil
    Duration: 17 Aug 201719 Aug 2017

    Conference

    Conference31st Annual Meeting of the Brazilian Embryo Technology Society
    Country/TerritoryBrazil
    Period17/08/201719/08/2017
    SeriesAnimal Reproduction Science
    ISSN0378-4320

    Keywords

    • Systems biology
    • IVP
    • Reproduction
    • Cattle
    • Biomarkers
    • Data integration

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