Cargando…

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

The ejaculate is heterogenous and sperm sub-populations with different kinematic patterns can be identified in various species. Nevertheless, although these sub-populations are statistically well defined, the statistical differences are not always relevant. The aim of the present study was to charac...

Descripción completa

Detalles Bibliográficos
Autores principales: Víquez, Luis, Barquero, Vinicio, Soler, Carles, Roldan, Eduardo R.S., Valverde, Anthony
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7345988/
https://www.ncbi.nlm.nih.gov/pubmed/32604716
http://dx.doi.org/10.3390/biology9060138
_version_ 1783556308173062144
author Víquez, Luis
Barquero, Vinicio
Soler, Carles
Roldan, Eduardo R.S.
Valverde, Anthony
author_facet Víquez, Luis
Barquero, Vinicio
Soler, Carles
Roldan, Eduardo R.S.
Valverde, Anthony
author_sort Víquez, Luis
collection PubMed
description The ejaculate is heterogenous and sperm sub-populations with different kinematic patterns can be identified in various species. Nevertheless, although these sub-populations are statistically well defined, the statistical differences are not always relevant. The aim of the present study was to characterize kinematic sub-populations in sperm from two bovine species, and diluted with different commercial extenders, and to determine the statistical relevance of sub-populations through Bayesian analysis. Semen from 10 bulls was evaluated after thawing. An ISAS(®)v1 computer-assisted sperm analysis (CASA)-Mot system was employed with an image acquisition rate of 50 Hz and ISAS(®)D4C20 counting chambers. Sub-populations of motile spermatozoa were characterized using multivariate procedures such as principal components (PCs) analysis and clustering methods (k-means model). Four different sperm sub-populations were identified from three PCs that involved progressiveness, velocity, and cell undulatory movement. The proportions of the different sperm sub-populations varied with the extender used and in the two species. Despite a statistical difference (p < 0.05) between extenders, the Bayesian analysis confirmed that only one of them (Triladyl(®)) presented relevant differences in kinematic patterns when compared with Tris-EY and OptiXcell(®). Extenders differed in the proportion of sperm cells in each of the kinematic sub-populations. Similar patterns were identified in Bos taurus and Bos indicus. Bayesian results indicate that sub-populations SP(1), SP(2), and SP(3) were different for PC criteria and these differences were relevant. For velocity, linearity, and progressiveness, the SP(4) did not show a relevant difference regarding the other sperm sub-populations. The classical approach of clustering or sperm subpopulation thus may not have a direct biological meaning. Therefore, the biological relevance of sperm sub-populations needs to be reevaluated.
format Online
Article
Text
id pubmed-7345988
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-73459882020-07-14 Kinematic Sub-Populations in Bull Spermatozoa: A Comparison of Classical and Bayesian Approaches Víquez, Luis Barquero, Vinicio Soler, Carles Roldan, Eduardo R.S. Valverde, Anthony Biology (Basel) Article The ejaculate is heterogenous and sperm sub-populations with different kinematic patterns can be identified in various species. Nevertheless, although these sub-populations are statistically well defined, the statistical differences are not always relevant. The aim of the present study was to characterize kinematic sub-populations in sperm from two bovine species, and diluted with different commercial extenders, and to determine the statistical relevance of sub-populations through Bayesian analysis. Semen from 10 bulls was evaluated after thawing. An ISAS(®)v1 computer-assisted sperm analysis (CASA)-Mot system was employed with an image acquisition rate of 50 Hz and ISAS(®)D4C20 counting chambers. Sub-populations of motile spermatozoa were characterized using multivariate procedures such as principal components (PCs) analysis and clustering methods (k-means model). Four different sperm sub-populations were identified from three PCs that involved progressiveness, velocity, and cell undulatory movement. The proportions of the different sperm sub-populations varied with the extender used and in the two species. Despite a statistical difference (p < 0.05) between extenders, the Bayesian analysis confirmed that only one of them (Triladyl(®)) presented relevant differences in kinematic patterns when compared with Tris-EY and OptiXcell(®). Extenders differed in the proportion of sperm cells in each of the kinematic sub-populations. Similar patterns were identified in Bos taurus and Bos indicus. Bayesian results indicate that sub-populations SP(1), SP(2), and SP(3) were different for PC criteria and these differences were relevant. For velocity, linearity, and progressiveness, the SP(4) did not show a relevant difference regarding the other sperm sub-populations. The classical approach of clustering or sperm subpopulation thus may not have a direct biological meaning. Therefore, the biological relevance of sperm sub-populations needs to be reevaluated. MDPI 2020-06-26 /pmc/articles/PMC7345988/ /pubmed/32604716 http://dx.doi.org/10.3390/biology9060138 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Víquez, Luis
Barquero, Vinicio
Soler, Carles
Roldan, Eduardo R.S.
Valverde, Anthony
Kinematic Sub-Populations in Bull Spermatozoa: A Comparison of Classical and Bayesian Approaches
title Kinematic Sub-Populations in Bull Spermatozoa: A Comparison of Classical and Bayesian Approaches
title_full Kinematic Sub-Populations in Bull Spermatozoa: A Comparison of Classical and Bayesian Approaches
title_fullStr Kinematic Sub-Populations in Bull Spermatozoa: A Comparison of Classical and Bayesian Approaches
title_full_unstemmed Kinematic Sub-Populations in Bull Spermatozoa: A Comparison of Classical and Bayesian Approaches
title_short Kinematic Sub-Populations in Bull Spermatozoa: A Comparison of Classical and Bayesian Approaches
title_sort kinematic sub-populations in bull spermatozoa: a comparison of classical and bayesian approaches
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7345988/
https://www.ncbi.nlm.nih.gov/pubmed/32604716
http://dx.doi.org/10.3390/biology9060138
work_keys_str_mv AT viquezluis kinematicsubpopulationsinbullspermatozoaacomparisonofclassicalandbayesianapproaches
AT barquerovinicio kinematicsubpopulationsinbullspermatozoaacomparisonofclassicalandbayesianapproaches
AT solercarles kinematicsubpopulationsinbullspermatozoaacomparisonofclassicalandbayesianapproaches
AT roldaneduardors kinematicsubpopulationsinbullspermatozoaacomparisonofclassicalandbayesianapproaches
AT valverdeanthony kinematicsubpopulationsinbullspermatozoaacomparisonofclassicalandbayesianapproaches