Effect of sexual steroids on boar kinematic sperm subpopulations.

Here, we show the effects of sexual steroids, progesterone, testosterone, or estradiol on motility parameters of boar sperm. Sixteen commercial seminal doses, four each of four adult boars, were analyzed using computer assisted sperm analysis (CASA). Mean values of motility parameters were analyzed by bivariate and multivariate statistics. Principal component analysis (PCA), followed by hierarchical clustering, was applied on data of motility parameters, provided automatically as intervals by the CASA system. Effects of sexual steroids were described in the kinematic subpopulations identified from multivariate statistics. Mean values of motility parameters were not significantly changed after addition of sexual steroids. Multivariate graphics showed that sperm subpopulations were not sensitive to the addition of either testosterone or estradiol, but sperm subpopulations responsive to progesterone were found. Distribution of motility parameters were wide in controls but sharpened at distinct concentrations of progesterone. We conclude that kinematic sperm subpopulations responsive to progesterone are present in boar semen, and these subpopulations are masked in evaluations of mean values of motility parameters. © 2017 International Society for Advancement of Cytometry.

Effects of repeated electroejaculations on kinematic sperm subpopulations and quality markers of Mexican creole goats.

Here we show the effects of repeated electroejaculation (EE) on mean values of motility, mitochondrial functionality, and expression of active caspases on goat sperm obtained by EE. Evaluations were done using CASA and flow cytometry. A strategy for identification of kinematic sperm subpopulations, when individual data of sperm are not provided by the CASA system, is provided. Fifty semen samples, five of each of ten adult creole goats, were obtained by electroejaculation. Mean values of total motility, progressive motility and flow cytometry evaluations were compared among EEs. Relationships among mean values of variables were investigated using Spearman correlation and principal component analysis (PCA). For identification of kinematic sperm subpopulations, PCA followed by hierarchical clustering was applied on data of the intervals provided automatically by the CASA system. Total motility does no change after repeated EE. Mean values of motility parameters and molecular markers were unrelated in multivariate space, but bivariate correlations were found. Values in upper and lower intervals defined clearly the sperm subpopulations, which had motility parameters changing over time. Taken together, our results show that repeated EE does not affect mean values of total motility, that molecular markers are not related with motility parameters, and that it is possible to identify kinematic sperm subpopulations when individual data, of motility parameters, are not provided by the CASA system.