Dairy cattle reproduction is a tightly regulated genetic process: Highlights on genes, pathways, and biological processes

Valour, Damien; Michot, Pauline; Eozénou, Caroline; Lefebvre, Rachel; Bonnet, Amandine; Capitan, Aurélien; Uzbekova, Svetlana; Sellem, Eli; Ponsart, Claire; Schibler, Laurent

doi:10.2527/af.2015-0006

Cited by 16 publications

(10 citation statements)

References 89 publications

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“…Further SNPs for DFI were found on BTA1‐4‐16‐23‐28. With respect to BTA28, in this chromosome, QTL were previously detected for several semen quality traits (Valour et al., ). The complete list of suggestive SNPs for seminological traits and ERCR is presented as Table S1.…”

Section: Resultsmentioning

confidence: 96%

Genomewide analysis of bull sperm quality and fertility traits

Puglisi

Gaspa

Balduzzi

et al. 2016

Reprod Domestic Animals

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Because the priority of AI industry is to identify subfertile bulls, a predictive model that allowed for the prediction of 91% bulls of low fertility was implemented based on seminological (motility) parameters and DNA status assessed both as DNA fragmentation index (DFI) and by TUNEL assay using sperm of 105 Holstein-Friesian bulls (four batches per bull) selected based on in vivo estimated relative conception rates (ERCR). Thereafter, sperm quality and male fertility traits of bulls were explored by GWAS using a high-density (777K) Illumina chip. After data editing, 85 bulls and 591,988 SNPs were retained for GWAS. Of 12 SNPs with false discovery rate <0.2, four SNPs located on BTA28 and BTA18 were significantly associated (LD-adjusted Bonferroni <0.05) with the non-compensatory sperm parameters DFI and TUNEL. Other SNPs of interest for potential association with TUNEL were found on BTA3, in the same chromosome where associations with non-compensatory in vivo bull fertility were already reported. Further suggestive SNPs for sperm membrane integrity were located on BTA28, the chromosome where QTL studies previously reported associations with sperm quality traits. Suggestive SNPs for ERCR were found on BTA18 in the vicinity of a site already associated with in vivo bull fertility. Additional SNPs associated with ERCR and sperm kinetic parameters were also identified. In contrast to other, but very few GWAS on fertility traits in bovine spermatozoa, which reported significant SNPs located on BTX, we have not identified SNPs of interest in this sexual chromosome.

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Section: Resultsmentioning

confidence: 96%

Genomewide analysis of bull sperm quality and fertility traits

Puglisi

Gaspa

Balduzzi

et al. 2016

Reprod Domestic Animals

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“…In domestic livestock, specifically cattle, reproductive loss and inefficiency results in ∼$600 million to $1.4 billion lost annually ( Bellows et al, 2002 ; De Vries, 2006 ). While these losses are multifaceted and influenced by many factors such as disease states ( Michi et al, 2016 ), male and female gametes ( Druet et al, 2009 ; Valour et al, 2015 ), and genetics related to male and female fertility ( Berry et al, 2014 ; Carthy et al, 2014 ), these factors cannot account for all reproductive related losses.…”

Section: Introductionmentioning

confidence: 99%

Vaginal and Uterine Bacterial Communities in Postpartum Lactating Cows

et al. 2017

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Reproductive inefficiency in cattle has major impacts on overall productivity of cattle operations, increasing cost of production, and impacting the sustainability of the cattle enterprise. Decreased reproductive success and associated disease states have been correlated with the presence of specific microbes and microbial community profiles, yet details of the relationship between microbial communities and host physiology are not well known. The present study profiles and compares the microbial communities in the bovine uterus and vagina using 16S rRNA sequencing of the V1–V3 hypervariable region at the time of artificial insemination. Significant differences (p < 0.05) between the vaginal and uterine communities were observed at the level of α-diversity metrics, including Chao1, Shannon’s Diversity Index, and observed OTU. Greater clustering of vaginal OTU was apparent in principal coordinate analysis compared to uterine OTU, despite greater diversity in the vaginal community in both weighted and unweighted UniFrac distance matrices (p < 0.05). There was a significantly greater relative abundance of unassigned taxa in the uterus (p = 0.008), otherwise there were few differences between the overall community profiles. Both vaginal and uterine communities were dominated by Firmicutes, although the relative abundance of rRNA sequences corresponding to species in this phylum was significantly (p = 0.007) lower in the uterine community. Additional differences were observed at the genus level, specifically in abundances within Clostridium (p = 0.009), Anaerofustis (p = 0.018), Atopobium (p = 0.035), Oscillospira (p = 0.035), 5-7N15 (p = 0.035), Mycoplasma (p = 0.035), Odoribacter (p = 0.042), and within the families Clostridiaceae (p = 0.006), Alcaligenaceae (p = 0.021), and Ruminococcaceae (p = 0.021). Overall, the comparison revealed differences and commonalities among bovine reproductive organs, which may be influenced by host physiology. The increased abundance of unassigned taxa found in the uterus may play a significant biological role in the reproductive status of the animal. The study represents an initial dataset for comparing bacterial communities prior to establishment of pregnancy.

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“…Moreover, genome-wide analysis has been used to detect biomarkers associated with reproduction and has gradually become a better way to explain key genes and pathways. For example, the gene polymorphisms of epidermal growth factor (EGF) and signal transducer and activator of transcription 5A (STAT5A), a missense mutation of prophet of Pit 1 (PROP1), and the deletion of Ribonuclease H2 Subunit B (RNASEH2B) were associated with milk production [ 30 ]. Overall, genomic selection will be a promising approach to estimating breeding values in the future.…”

Section: Genomics In Lactation Researchmentioning

confidence: 99%

The Use of “Omics” in Lactation Research in Dairy Cows

Wang

Lin

et al. 2017

IJMS

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“Omics” is the application of genomics, transcriptomics, proteomics, and metabolomics in biological research. Over the years, tremendous amounts of biological information has been gathered regarding the changes in gene, mRNA and protein expressions as well as metabolites in different physiological conditions and regulations, which has greatly advanced our understanding of the regulation of many physiological and pathophysiological processes. The aim of this review is to comprehensively describe the advances in our knowledge regarding lactation mainly in dairy cows that were obtained from the “omics” studies. The “omics” technologies have continuously been preferred as the technical tools in lactation research aiming to develop new nutritional, genetic, and management strategies to improve milk production and milk quality in dairy cows.

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Dairy cattle reproduction is a tightly regulated genetic process: Highlights on genes, pathways, and biological processes

Cited by 16 publications

References 89 publications

Genomewide analysis of bull sperm quality and fertility traits

Genomewide analysis of bull sperm quality and fertility traits

Vaginal and Uterine Bacterial Communities in Postpartum Lactating Cows

The Use of “Omics” in Lactation Research in Dairy Cows

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