Relationship between motile sperm subpopulations identified in frozen‐thawed dog semen samples and their ability to bind to the zona pellucida of canine oocytes

Abstract

Contents Studies performed on ejaculates from several species have identified discrete subpopulations of motile sperm. In dogs, motile sperm subpopulations have also been described in fresh and frozen‐thawed semen. The subpopulation of the most rapid and progressively motile sperm has been suggested to be the most likely source of fertilizing spermatozoa. However, the significance of subpopulation differences among dogs and ejaculates relative to fertility is not known. The aim of this study was to investigate the relationship between the relative proportion of motile sperm subpopulations in frozen‐thawed dog semen samples and their ability to bind to the zona pellucida of canine oocytes. Multiple linear regression analysis indicated that the subpopulation of the most rapid and progressively motile sperm was significantly and positively correlated with zona pellucida‐binding assays (ZBA) outcomes: each 10% increase in this subpopulation was associated with an increase of 1.5 sperm bound per oocyte. Subpopulations of hyperactivated‐like or locally motile sperm were negatively correlated with the ZBA results. It was concluded that subpopulation differences among frozen‐thawed dog semen samples determined differences in the number of sperm bound to the ZP of canine oocytes.

Kinematic Sub-Populations in Bull Spermatozoa: A Comparison of Classical and Bayesian Approaches

“…Other work indicates that fast and nonlinear sperm movements are in fact specific of hyperactivated spermatozoa [ 44 ]. Results of other studies suggest that the sperm SP containing fast and linear spermatozoa is the one with a higher likelihood of sperm-oocyte interaction [ 28 ]. Despite these attempts at linking SP structure and function, including sperm fertility, the abundant data provided by CASA-Mot systems for multivariate procedures, and the resulting SP, are still insufficient to categorize an ejaculate in relation to its quality.…”

“…For example, clustering has been used to find groups of spermatozoa that have similar patterns. Thus, several studies in many species have identified the existence of different sperm SPs, defined by specific kinematic patterns obtained from CASA-Mot systems [ 13 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 ]…”

Multivariate models for estimating jackass semen production and quality

“…In previous studies, multivariate regression model was used to analyse the influencing factors of semen characteristics of boar (Wang et al., 2017) and humans (Ji et al., 2018; Tian et al., 2018), and to predict the fertility of motile sperm subpopulations in rabbit (Quintero‐Moreno et al., 2007) and dog (Pena et al., 2018), and semen cryopreservation outcomes in humans (Jiang et al., 2016). On the basis of the observed data, this approach could establish appropriate dependent relationships between variables, and was usually applied in forecasting and control issues (Jiang et al., 2016).…”

Frecuencia de fotogramas óptima para evaluar la cinética espermática de verracos con un sistema CASA-Mot

“…Desde hace tiempo se reconoce que el eyaculado no es uniforme (Martínez-Pastor et al, 2011). Existen conjuntos celulares con diferentes patrones de movimiento y cinemáticos que están interactuando para asegurar el éxito de la fecundación (Yániz et al, 2017;Peña et al, 2018). El estudio de las subpoblaciones espermáticas ha sido posible por la gran cantidad de datos que aportan los sistemas CASA al analizar miles de espermatozoides en un corto periodo.…”

“…El estudio de las subpoblaciones espermáticas ha sido posible por la gran cantidad de datos que aportan los sistemas CASA al analizar miles de espermatozoides en un corto periodo. Como resultado del análisis espermático por sistemas CASA, se ha determinado que las variables cinéticas de los espermatozoides no se distribuyen según una función de distribución normal, sino que son disímiles y se agrupan en diferentes subpoblaciones definidas por sus características de movilidad y cinética (Amann & Hammerstedt, 1993;Hirai et al, 2001;Soler et al, 2014;Gallego et al, 2015;Valverde et al, 2016;Vásquez et al, 2016;Yániz et al, 2016;Peña et al, 2018;van der Horst et al, 2018;Yániz et al, 2018;Caldeira et al, 2019;García-Molina et al, 2019).…”