Literature DB >> 29753485

Genome-wide association study and in silico functional analysis of the number of embryos produced by Holstein donors.

C Jaton1, F S Schenkel2, M Sargolzaei3, A Cánova2, F Malchiodi2, C A Price4, C Baes2, F Miglior5.   

Abstract

Superovulation or ovum pick-up and in vitro fertilization are technologies used to produce an increased number of embryos from elite females. Embryo production traits have been shown to be heritable, but the genes that cause this variability have not yet been assessed. The main objectives of this study were to perform a genome-wide association study (GWAS) to find single nucleotide polymorphisms (SNP) associated with embryo production traits and to identify candidate genes affecting the number of embryos produced by Holstein donors in Canada that may provide insight into the regulation of embryo production. Breeding values were estimated and de-regressed for all donors and sires using a data set of 150,971 records of superovulation or ovum pick-up and in vitro fertilization. A total of 11,607 animals were genotyped, but of that number only 5,118 were genotyped with at least a 50K SNP panel and had a de-regressed estimated breeding value reliability of at least 10%. For the GWAS, 606,406 imputed SNP on 29 autosomal chromosomes were considered after applying quality control measures. A single-SNP univariate mixed linear animal model was used to perform the GWAS, and a 5% false discovery rate was applied to adjust for multiple testing. We found 36 and 14 significant SNP associated with the total number of embryos and the number of viable embryos, respectively, with most of them located on chromosome 11. Using these significant SNP, positional genes located within 10,000 bp upstream and downstream of the SNP were retrieved. Thirteen genes were harboring or near the significant SNP for the total number of embryos, 4 of them also being near the significant SNP for viable embryos. Some of these genes (CRB2, DENND1A, MAD1L1, NDUFA8, PTGS1) could be considered as potential positional candidate genes related to the number of embryos produced by a donor. This list will need to be validated in an independent population to confirm the role of the genes for embryo production.
Copyright © 2018 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  GWAS; Holstein; candidate gene; embryo production

Mesh:

Year:  2018        PMID: 29753485     DOI: 10.3168/jds.2017-13848

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  5 in total

Review 1.  Physiology and endocrinology symposium: Anti-Müllerian hormone: a biomarker for the ovarian reserve, ovarian function, and fertility in dairy cows.

Authors:  Francesca Mossa; James J Ireland
Journal:  J Anim Sci       Date:  2019-04-03       Impact factor: 3.159

Review 2.  AMH: Could It Be Used as A Biomarker for Fertility and Superovulation in Domestic Animals?

Authors:  Saqib Umer; Shan Jiang Zhao; Abdul Sammad; Bahlibi Weldegebriall Sahlu; Pang Yunwei; Huabin Zhu
Journal:  Genes (Basel)       Date:  2019-12-04       Impact factor: 4.096

3.  Runs of homozygosity in the Italian goat breeds: impact of management practices in low-input systems.

Authors:  Matteo Cortellari; Arianna Bionda; Andrea Talenti; Paola Crepaldi; Alessio Negro; Stefano Frattini; Salvatore Mastrangelo; Elisa Somenzi; Emiliano Lasagna; Francesca M Sarti; Elena Ciani; Roberta Ciampolini; Donata Marletta; Luigi Liotta; Paolo Ajmone Marsan; Fabio Pilla; Licia Colli
Journal:  Genet Sel Evol       Date:  2021-12-11       Impact factor: 4.297

4.  High confidence copy number variants identified in Holstein dairy cattle from whole genome sequence and genotype array data.

Authors:  Adrien M Butty; Tatiane C S Chud; Filippo Miglior; Flavio S Schenkel; Arun Kommadath; Kirill Krivushin; Jason R Grant; Irene M Häfliger; Cord Drögemüller; Angela Cánovas; Paul Stothard; Christine F Baes
Journal:  Sci Rep       Date:  2020-05-15       Impact factor: 4.379

5.  Genome-Wide Scanning for Signatures of Selection Revealed the Putative Genomic Regions and Candidate Genes Controlling Milk Composition and Coat Color Traits in Sahiwal Cattle.

Authors:  Satish Kumar Illa; Sabyasachi Mukherjee; Sapna Nath; Anupama Mukherjee
Journal:  Front Genet       Date:  2021-07-09       Impact factor: 4.599

  5 in total

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