Literature DB >> 20412940

Short communication: Validation of in vitro fertility genes in a Holstein bull population.

H Khatib1, R L Monson, W Huang, R Khatib, V Schutzkus, H Khateeb, J J Parrish.   

Abstract

Previously, we constructed an in vitro fertilization system for the identification of genes affecting fertility traits in dairy cattle. The efficiency of this system has been demonstrated by the identification of several genes affecting fertilization rate and early embryonic survival. However, to employ these genetic markers in marker- and gene-assisted selection programs, there is a need to validate in vitro results in phenotypic data sets collected in vivo. Thus, the objective of this study was to validate, in a population of Holstein bulls, the fertility trait genes we previously identified in an in vitro system. Estimated relative conception rate (ERCR) data from 222 Holstein bulls were obtained from 5 different artificial insemination companies in the United States. Bulls were genotyped for the genes FGF2, POU1F1, PRL, PRLR, GH, GHR, STAT5A, OPN, and UTMP, and the data were analyzed for association with ERCR using a mixed effects sire model. A stepwise model selection procedure revealed evidence of association with ERCR for FGF2 and STAT5A polymorphisms. The in vivo validation suggests that these genes can be used in gene-assisted selection programs for reproductive performance in dairy cattle. The genotypes found to be associated with low bull fertility in this study have been reported to be associated with high milk composition in previous studies. These findings provide molecular evidence for the antagonistic relationship between milk production and fertility observed for many years in different breeds of dairy cattle. Copyright 2010 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20412940     DOI: 10.3168/jds.2009-2805

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


  11 in total

1.  Polymorphisms within the prolactin and growth hormone/insulin-like growth factor-1 functional pathways associated with fertility traits in Holstein cows raised in a hot-humid climate.

Authors:  Jose C Leyva-Corona; Javier R Reyna-Granados; Ricardo Zamorano-Algandar; Miguel A Sanchez-Castro; Milton G Thomas; R Mark Enns; Scott E Speidel; Juan F Medrano; Gonzalo Rincon; Pablo Luna-Nevarez
Journal:  Trop Anim Health Prod       Date:  2018-06-20       Impact factor: 1.559

Review 2.  Marker-assisted selection vis-à-vis bull fertility: coming full circle-a review.

Authors:  Varinder Singh Raina; Aneet Kour; Atish Kumar Chakravarty; Vikas Vohra
Journal:  Mol Biol Rep       Date:  2020-10-24       Impact factor: 2.316

Review 3.  Review: Genomics of bull fertility.

Authors:  Jeremy F Taylor; Robert D Schnabel; Peter Sutovsky
Journal:  Animal       Date:  2018-04-05       Impact factor: 3.240

4.  Influences of sire conception rate on pregnancy establishment in dairy cattle.

Authors:  M Sofia Ortega; João G N Moraes; David J Patterson; Michael F Smith; Susanta K Behura; Scott Poock; Thomas E Spencer
Journal:  Biol Reprod       Date:  2018-12-01       Impact factor: 4.285

5.  Unravelling the genomic architecture of bull fertility in Holstein cattle.

Authors:  Yi Han; Francisco Peñagaricano
Journal:  BMC Genet       Date:  2016-11-14       Impact factor: 2.797

6.  Identification of single nucleotide polymorphism in protein phosphatase 1 regulatory subunit 11 gene in Murrah bulls.

Authors:  Varsha Jain; Brijesh Patel; Farhat Paul Umar; H M Ajithakumar; Suraj K Gurjar; I D Gupta; Archana Verma
Journal:  Vet World       Date:  2017-02-23

7.  Discovery of single nucleotide polymorphisms in candidate genes associated with fertility and production traits in Holstein cattle.

Authors:  Sarah D Cochran; John B Cole; Daniel J Null; Peter J Hansen
Journal:  BMC Genet       Date:  2013-06-07       Impact factor: 2.797

8.  Inferring quantitative trait pathways associated with bull fertility from a genome-wide association study.

Authors:  Francisco Peñagaricano; Kent A Weigel; Guilherme J M Rosa; Hasan Khatib
Journal:  Front Genet       Date:  2013-01-11       Impact factor: 4.599

9.  Genetic variants in mammary development, prolactin signalling and involution pathways explain considerable variation in bovine milk production and milk composition.

Authors:  Lesley-Ann Raven; Benjamin G Cocks; Michael E Goddard; Jennie E Pryce; Ben J Hayes
Journal:  Genet Sel Evol       Date:  2014-04-29       Impact factor: 4.297

10.  Whole-genome scan reveals significant non-additive effects for sire conception rate in Holstein cattle.

Authors:  Paula Nicolini; Rocío Amorín; Yi Han; Francisco Peñagaricano
Journal:  BMC Genet       Date:  2018-02-27       Impact factor: 2.797

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