Genetic dissection of bull fertility in US Jersey dairy cattle

• Published in: Animal genetics Vol. 49; no. 5; pp. 393 - 402
• Main Authors: Rezende, F. M., Dietsch, G. O., Peñagaricano, F.
• Format: Journal Article
• Language: English
• Published: England Wiley Subscription Services, Inc 01.10.2018; John Wiley and Sons Inc
• Subjects: Acrosome reaction; Bovidae; bulls; calcium; Calcium signalling; Cattle; Cell fusion; Chromosomes; conception rate; Dairy cattle; data collection; Energy metabolism; enzyme activity; Fertility; Gene expression; gene ontology; Genes; Genetic diversity; Genetic factors; Genetic variance; genetic variation; Genomes; genomic scan; Genomics; Genotype & phenotype; Guanosine triphosphatases; guanosinetriphosphatase; herds; Holstein; Jersey; male fertility; MAP kinase; Medical Subject Headings-MeSH; Membrane fusion; Metabolism; mitogen-activated protein kinase; non‐additive effects; Original; pathway analysis; Polymorphism; Signal transduction; Single-nucleotide polymorphism; sire conception rate; sires; Sperm; sperm motility; Spermatogenesis; spermatozoa; testes; United States; United States > US; United States; genomic scan; non-additive effects; sire conception rate; pathway analysis
• ISSN: 0268-9146; 1365-2052; 1365-2052
• DOI: 10.1111/age.12710

Summary The service sire has been recognized as an important factor affecting herd fertility in dairy cattle. Recent studies suggest that genetic factors explain part of the difference in fertility among Holstein sires. The main objective of this study was to dissect the genetic architecture of sire fertility in US Jersey cattle. The dataset included 1.5 K Jersey bulls with sire conception rate (SCR) records and 96 K single nucleotide polymorphism (SNP) markers spanning the whole genome. The analysis included whole‐genome scans for both additive and non‐additive effects and subsequent functional enrichment analyses using KEGG Pathway, Gene Ontology (GO) and Medical Subject Headings (MeSH) databases. Ten genomic regions located on eight different chromosomes explained more than 0.5% of the additive genetic variance for SCR. These regions harbor genes, such as PKDREJ, EPB41L2, PDGFD, STX2, SLC25A20 and IP6K1, that are directly implicated in testis development and spermatogenesis, sperm motility and the acrosome reaction. In addition, the genomic scan for non‐additive effects identified two regions on BTA11 and BTA25 with marked recessive effects. These regions harbor three genes—FER1L5, CNNM4 and DNAH3—with known roles in sperm biology. Moreover, the gene‐set analysis revealed terms associated with calcium regulation and signaling, membrane fusion, sperm cell energy metabolism, GTPase activity and MAPK signaling. These gene sets are directly implicated in sperm physiology and male fertility. Overall, this integrative genomic study unravels genetic variants and pathways affecting Jersey bull fertility. These findings may contribute to the development of novel genomic strategies for improving sire fertility in Jersey cattle.