Literature DB >> 29618393

Review: Genomics of bull fertility.

Jeremy F Taylor1, Robert D Schnabel1, Peter Sutovsky1.   

Abstract

Fertility is one of the most economically important traits in both beef and dairy cattle production; however, only female fertility is typically subjected to selection. Male and female fertility have only a small positive genetic correlation which is likely due to the existence of a relatively small number of genetic variants within each breed that cause embryonic and developmental losses. Genomic tools have been developed that allow the identification of lethal recessive loci based upon marker haplotypes. Selection against haplotypes harbouring lethal alleles in conjunction with selection to improve female fertility will result in an improvement in male fertility. Genomic selection has resulted in a two to fourfold increase in the rate of genetic improvement of most dairy traits in US Holstein cattle, including female fertility. Considering the rapidly increasing rate of adoption of high-throughput single nucleotide polymorphism genotyping in both the US dairy and beef industries, genomic selection should be the most effective of all currently available approaches to improve male fertility. However, male fertility phenotypes are not routinely recorded in natural service mating systems and when artificial insemination is used, semen doses may be titrated to lower post-thaw progressively motile sperm numbers for high-merit and high-demand bulls. Standardization of sperm dosages across bull studs for semen distributed from young bulls would allow the capture of sire conception rate phenotypes for young bulls that could be used to generate predictions of genetic merit for male fertility in both males and females. These data would allow genomic selection to be implemented for male fertility in addition to female fertility within the US dairy industry. While the rate of use of artificial insemination is much lower within the US beef industry, the adoption of sexed semen in the dairy industry has allowed dairy herds to select cows from which heifer replacements are produced and cows that are used to produce terminal crossbred bull calves sired by beef breed bulls. Capture of sire conception rate phenotypes in dairy herds utilizing sexed semen will contribute data enabling genomic selection for male fertility in beef cattle breeds. As the commercial sector of the beef industry increasingly adopts fixed-time artificial insemination, sire conception rate phenotypes can be captured to facilitate the development of estimates of genetic merit for male fertility within US beef breeds.

Entities:  

Keywords:  bull fertility; candidate genes; genome-wide association study; genomic selection; quantitative trait loci

Mesh:

Year:  2018        PMID: 29618393      PMCID: PMC6550321          DOI: 10.1017/S1751731118000599

Source DB:  PubMed          Journal:  Animal        ISSN: 1751-7311            Impact factor:   3.240


  44 in total

1.  Prediction of total genetic value using genome-wide dense marker maps.

Authors:  T H Meuwissen; B J Hayes; M E Goddard
Journal:  Genetics       Date:  2001-04       Impact factor: 4.562

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

Authors:  H Khatib; R L Monson; W Huang; R Khatib; V Schutzkus; H Khateeb; J J Parrish
Journal:  J Dairy Sci       Date:  2010-05       Impact factor: 4.034

3.  Genetic analysis of male and female fertility after artificial insemination in sheep: comparison of single-trait and joint models.

Authors:  I David; L Bodin; G Lagriffoul; C Leymarie; E Manfredi; C Robert-Granié
Journal:  J Dairy Sci       Date:  2007-08       Impact factor: 4.034

4.  Estimates of covariances between reproduction and growth in Australian beef cattle.

Authors:  K Meyer; K Hammond; M J Mackinnon; P F Parnell
Journal:  J Anim Sci       Date:  1991-09       Impact factor: 3.159

5.  Estimation of genetic parameters and genome scan for 15 semen characteristics traits of Holstein bulls.

Authors:  T Druet; S Fritz; E Sellem; B Basso; O Gérard; L Salas-Cortes; P Humblot; X Druart; A Eggen
Journal:  J Anim Breed Genet       Date:  2009-08       Impact factor: 2.380

6.  DNA sequence polymorphisms in a panel of eight candidate bovine imprinted genes and their association with performance traits in Irish Holstein-Friesian cattle.

Authors:  David A Magee; Klaudia M Sikora; Erik W Berkowicz; Donagh P Berry; Dawn J Howard; Michael P Mullen; Ross D Evans; Charles Spillane; David E MacHugh
Journal:  BMC Genet       Date:  2010-10-13       Impact factor: 2.797

7.  Inheritance of fertility in broiler chickens.

Authors:  Anna Wolc; Ian Ms White; Victor E Olori; William G Hill
Journal:  Genet Sel Evol       Date:  2009-10-29       Impact factor: 4.297

8.  Development and characterization of a high density SNP genotyping assay for cattle.

Authors:  Lakshmi K Matukumalli; Cynthia T Lawley; Robert D Schnabel; Jeremy F Taylor; Mark F Allan; Michael P Heaton; Jeff O'Connell; Stephen S Moore; Timothy P L Smith; Tad S Sonstegard; Curtis P Van Tassell
Journal:  PLoS One       Date:  2009-04-24       Impact factor: 3.240

9.  Two-stage genome-wide association study identifies integrin beta 5 as having potential role in bull fertility.

Authors:  Jean M Feugang; Abdullah Kaya; Grier P Page; Lang Chen; Tapan Mehta; Kashif Hirani; Lynne Nazareth; Einko Topper; Richard Gibbs; Erdogan Memili
Journal:  BMC Genomics       Date:  2009-04-24       Impact factor: 3.969

10.  Comprehensive proteomic analysis of bovine spermatozoa of varying fertility rates and identification of biomarkers associated with fertility.

Authors:  Divyaswetha Peddinti; Bindu Nanduri; Abdullah Kaya; Jean M Feugang; Shane C Burgess; Erdogan Memili
Journal:  BMC Syst Biol       Date:  2008-02-22
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  17 in total

1.  Weak genotype x environment interaction suggests that measuring scrotal circumference at 12 and 18 mo of age is helpful to select precocious Brahman cattle.

Authors:  Bárbara M Nascimento; Roberto Carvalheiro; Rodrigo de A Teixeira; Laila T Dias; Marina R S Fortes
Journal:  J Anim Sci       Date:  2022-09-01       Impact factor: 3.338

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

Authors:  Miriama Štiavnická; Aurélie Chaulot-Talmon; Jean-Philippe Perrier; Petr Hošek; David A Kenny; Patrick Lonergan; Hélène Kiefer; Sean Fair
Journal:  BMC Genomics       Date:  2022-05-18       Impact factor: 4.547

Review 3.  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 4.  Candidate Genes in Bull Semen Production Traits: An Information Approach Review.

Authors:  Mamokoma Cathrine Modiba; Khathutshelo Agree Nephawe; Khanyisile Hadebe Mdladla; Wenfa Lu; Bohani Mtileni
Journal:  Vet Sci       Date:  2022-03-23

5.  Activation of cryptic splicing in bovine WDR19 is associated with reduced semen quality and male fertility.

Authors:  Maya Hiltpold; Guanglin Niu; Naveen Kumar Kadri; Danang Crysnanto; Zih-Hua Fang; Mirjam Spengeler; Fritz Schmitz-Hsu; Christian Fuerst; Hermann Schwarzenbacher; Franz R Seefried; Frauke Seehusen; Ulrich Witschi; Angelika Schnieke; Ruedi Fries; Heinrich Bollwein; Krzysztof Flisikowski; Hubert Pausch
Journal:  PLoS Genet       Date:  2020-05-14       Impact factor: 5.917

6.  Bos taurus-indicus hybridization correlates with intralocus sexual-conflict effects of PRDM9 on male and female fertility in Holstein cattle.

Authors:  Eyal Seroussi; Andrey Shirak; Moran Gershoni; Ephraim Ezra; Daniel Jordan de Abreu Santos; Li Ma; George E Liu
Journal:  BMC Genet       Date:  2019-08-28       Impact factor: 2.797

7.  A new Approach for Accurate Detection of Chromosome Rearrangements That Affect Fertility in Cattle.

Authors:  Rebecca L Jennings; Darren K Griffin; Rebecca E O'Connor
Journal:  Animals (Basel)       Date:  2020-01-10       Impact factor: 2.752

Review 8.  Genomic Analysis, Progress and Future Perspectives in Dairy Cattle Selection: A Review.

Authors:  Miguel A Gutierrez-Reinoso; Pedro M Aponte; Manuel Garcia-Herreros
Journal:  Animals (Basel)       Date:  2021-02-25       Impact factor: 3.231

9.  Genetic dissection of bull fertility in US Jersey dairy cattle.

Authors:  F M Rezende; G O Dietsch; F Peñagaricano
Journal:  Anim Genet       Date:  2018-08-14       Impact factor: 3.169

10.  Association of α/β-Hydrolase D16B with Bovine Conception Rate and Sperm Plasma Membrane Lipid Composition.

Authors:  Shuwen Shan; Fangzheng Xu; Martina Bleyer; Svenja Becker; Torben Melbaum; Wilhelm Wemheuer; Marc Hirschfeld; Christin Wacker; Shuhong Zhao; Ekkehard Schütz; Bertram Brenig
Journal:  Int J Mol Sci       Date:  2020-01-17       Impact factor: 5.923

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