There is considerable interest in breeding programs to “rescue” semen with poor post-thaw fertility from bulls known as “bad freezers”. We hypothesized that there may be an interaction between the post-thaw recovery of sperm and the efficacy of antioxidant addition to extenders. The current study assesses the effects of antioxidant additives hydroxytyrosol (HT) and resveratrol (RSV) on the post-thaw semen parameters in two groups of bulls classified as either high or low cryotolerant (i.e., “good” and “bad” freezers). Semen samples were collected from 40 bulls and processed in the extenders containing different concentrations of HT (experiment 1; 0, 25 and 50 µM) and RSV (experiment 2; 0.0, 0.01, 0.1 and 1 mM). In experiment 1, bulls in the low cryotolerance group had a significant improvement in post-thaw recovery at 25 µM and 50 µM (P < 0.05). These improvements were observed in motility and several cellular parameters. However, post-thaw semen quality in the high cryotolerance group was not significantly affected by the HT addition. In experiment 2, although RSV did not have any positive impact in high cryotolerance group, post-thaw recovery in the low cryotolerance bulls was significantly improved in 0.1 mM RSV. Oxidative stress markers in either high or low cryotolerance groups were not significantly changed by RSV addition (P > 0.05). It can be concluded that addition of optimized concentrations of HT and RSV to the extender could be a strategy for improving the post-thaw semen, especially in bulls with high genetic merit but low initial cryotolerance.

Cryopreservation provides a critical tool for dairy herd genetics management. Due to widely varying inter- and within-bull post thaw fertility, recent research on cryoprotectant extender medium has not dramatically improved suboptimal post-thaw recovery in industry. This progress is stymied by the interactions between samples and the many components of extender media and is often compounded by industry irrelevant sample sizes. To address these challenges, here we demonstrate blank-slate optimization of bull sperm cryopreservation media by supervised machine learning. We considered two supervised learning models: artificial neural networks and Gaussian process regression (GPR). Eleven media components and initial concentrations were identified from publications in bull semen cryopreservation, and an initial 200 extender-post-thaw motility pairs were used to train and 32 extender-post-thaw motility pairs to test the machine learning algorithms. The median post-thaw motility after coupling differential evolution with GPR the increased from 52.6 ± 6.9% to 68.3 ± 6.0% at generations 7 and 17 respectively, with several media performing dramatically better than control media counterparts. This is the first study in which machine learning was used to determine the best combination of constituents to optimize bull sperm cryopreservation media, and provides a template for optimization in other cell types.

A number of studies have explored the use of membrane permeable (usually metabolizable) and membrane impermeable saccharides to protect cells in general, and sperm in particular during cryopreservation. Critical concentrations for protective levels of sugars frequently range between 50 mmol/L and 500 mmol/L, where efficacy is attributed to the sugar's membrane stabilizing and glass forming attributes and colligative effects that reduce intra- and extracellular salt concentrations during freezing. Many studies on bull sperm have demonstrated that both permeating and non-permeating sugars have negligible positive effects on post-thaw viability. Recently, however, a non-metabolizable sugar, 3-O-Methylglucose (3-OMG), was shown to protect hepatocytes during liver cryopreservation at 0.1-0.3 mol/L. Because glucose is readily transported into sperm, we hypothesized that 3-OMG could be a new class of cryoprotectant to explore in bull sperm. Here we present positive results demonstrating that 3-OMG improves post thaw viability in bull sperm, and that this effect is not likely due to improved glass forming capabilities. In particular, in experiment 1, 3-OMG was added to the Tris-egg yolk-glycerol base media at levels from 0 mmol/L to 200 mmol/L. Semen from four bulls was collected and diluted with one of the cryopreservation media, cooled, and frozen following industry standard practices. Motility and mitochondrial activity were negatively impacted when concentration of 3-OMG was more than 25 mmol/L. Therefore, we explored lower concentrations in experiment 2, where semen from eight bulls was used to evaluate concentrations 5 mmol/L, 15 mmol/L and 25 mmol/L of 3-OMG compared with control. Motility and progressive motility in 5 mmol/L 3-OMG and in the control were significantly higher than 15 mmol/L and 25 mmol/L 3-OMG, whereas mitochondrial activity and acrosome integrity in 5 mmol/L 3-OMG were significantly better than the control freezing medium. In experiment 3, to evaluate whether the improved effects of 3-OMG are due to its non-metabolizing property, or due to colligative effects, we compared post-thaw viability in semen from four bulls cryopreserved with 5 mmol/L glucose, sucrose, or 3-OMG. Motility and progressive motility was significantly improved in 3-OMG compared to glucose or sucrose groups which were comparable to the EY control. In conclusion, 3-OMG at a concentration of 5 mmol/L in Tris-egg yolk-glycerol medium improves the post thaw motility, progressive motility and viability of bull sperm. The mechanism of action is not understood but because the efficacy is maximal at low concentrations, it is not likely due to improved intra- or extracellular glass forming abilities and may demonstrate a different protective mechanism than was shown in hepatocytes.

In the context of artificial insemination, male fertility is defined as the ability to produce functional spermatozoa able to withstand cryopreservation. We hypothesized that interindividual variations in fertility depend on the proportion of the fully functional sperm population contained in the insemination dose. The objective of this study was to identify protein markers of the fully functional sperm subpopulation. Insemination doses from four high-fertility (HF) and four low-fertility (LF) bulls with comparable post-thaw quality parameters were selected for proteomic analysis using iTRAQ technology. Thawed semen was centrifuged through a Percoll gradient to segregate the motile (high density [HD]) from the immotile (low density [LD]) sperm populations. Sperm proteins were extracted with sodium deoxycholate and four groups were compared: LD and HD spermatozoa from LF and HF bulls. A total of 498 unique proteins were identified and quantified. Comparison of HD spermatozoa from HF and LF bulls revealed that five proteins were significantly more abundant in the HF group (AK8, TPI1, TSPAN8, OAT, and DBIL5) whereas five proteins were more abundant in the LF group (RGS22, ATP5J, CLU, LOC616319, and CCT5). Comparison of LD spermatozoa from HF and LF bulls revealed that four proteins were significantly more abundant in the HF group (IL4I1, CYLC2, OAT, and ARMC3) whereas 15 proteins were significantly more abundant in the LF group (HADHA, HSP90AA1, DNASE1L3, SLC25A20, GPX5, TCP1, HIP1, CLU, G5E622, LOC616319, HSPA2, NUP155, DPY19L2, SPERT, and SERPINE2). DBIL5, TSPAN8, and TPI1 showed potential as putative markers of the fully functional sperm subpopulation.

Quality control (QC) is a fundamental area of management for semen production centers (SPCs) supplying bovine semen to breeders and producers. Semen production centers are moving away from subjective semen assessment, that is largely uncorrelated to field fertility, to objective semen analyses that incorporate computer assisted sperm analysis (CASA) and flow cytometry. A multiparametric approach to semen analysis using a combination of CASA and flow cytometry can provide SPCs with the highest QC for all semen production. In this paper we review probes used for labelling spermatozoa for viability, acrosomal integrity, mitochondrial activity, DNA integrity and calcium release. Limitations of CASA and flow cytometry when analyzing spermatozoa, especially frozen-thawed samples, are discussed. Finally, we described how a multiparametric approach using CASA and flow cytometry could be applied in SPCs to establish QC of production before the release of the product in the field.