• Login
    View Item 
    •   T-Stór
    • Other
    • Teagasc publications in Biomed Central
    • View Item
    •   T-Stór
    • Other
    • Teagasc publications in Biomed Central
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of T-StórCommunitiesPublication DateAuthorsTitlesSubjectsFunderThis CollectionPublication DateAuthorsTitlesSubjectsFunderProfilesView

    My Account

    LoginRegister

    Information

    Deposit AgreementLicense

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Sperm DNA methylation patterns at discrete CpGs and genes involved in embryonic development are related to bull fertility

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    12864_2022_Article_8614.pdf
    Size:
    2.242Mb
    Format:
    PDF
    Download
    Author
    Štiavnická, Miriama
    Chaulot-Talmon, Aurélie
    Perrier, Jean-Philippe
    Hošek, Petr
    Kenny, David A.
    Lonergan, Patrick
    Kiefer, Hélène
    Fair, Sean
    Keyword
    bull fertility
    biomarkers
    DNA methylation patterns
    embryo development
    Date
    2022-05-18
    
    Metadata
    Show full item record
    Statistics
    Display Item Statistics
    URI
    http://hdl.handle.net/11019/2805
    Citation
    Štiavnická, M., Chaulot-Talmon, A., Perrier, JP. et al. Sperm DNA methylation patterns at discrete CpGs and genes involved in embryonic development are related to bull fertility. BMC Genomics 23, 379 (2022). https://doi.org/10.1186/s12864-022-08614-5
    Abstract
    Background Despite a multifactorial approach being taken for the evaluation of bull semen quality in many animal breeding centres worldwide, reliable prediction of bull fertility is still a challenge. Recently, attention has turned to molecular mechanisms, which could uncover potential biomarkers of fertility. One of these mechanisms is DNA methylation, which together with other epigenetic mechanisms is essential for the fertilising sperm to drive normal embryo development and establish a viable pregnancy. In this study, we hypothesised that bull sperm DNA methylation patterns are related to bull fertility. We therefore investigated DNA methylation patterns from bulls used in artificial insemination with contrasting fertility scores. Results The DNA methylation patterns were obtained by reduced representative bisulphite sequencing from 10 high-fertility bulls and 10 low-fertility bulls, having average fertility scores of − 6.6 and + 6.5%, respectively (mean of the population was zero). Hierarchical clustering analysis did not distinguish bulls based on fertility but did highlight individual differences. Despite this, using stringent criteria (DNA methylation difference ≥ 35% and a q-value < 0.001), we identified 661 differently methylated cytosines (DMCs). DMCs were preferentially located in intergenic regions, introns, gene downstream regions, repetitive elements, open sea, shores and shelves of CpG islands. We also identified 10 differently methylated regions, covered by 7 unique genes (SFRP1, STXBP4, BCR, PSMG4, ARSG, ATP11A, RXRA), which are involved in spermatogenesis and early embryonic development. Conclusion This study demonstrated that at specific CpG sites, sperm DNA methylation status is related to bull fertility, and identified seven differently methylated genes in sperm of subfertile bulls that may lead to altered gene expression and potentially influence embryo development.
    Funder
    Science Foundation Ireland
    Grant Number
    16/IA/4474
    ae974a485f413a2113503eed53cd6c53
    https://doi.org/10.1186/s12864-022-08614-5
    Scopus Count
    Collections
    Teagasc publications in Biomed Central

    entitlement

     
    DSpace software copyright © 2002-2017  DuraSpace
    Quick Guide | Contact Us | Send Feedback
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.