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...

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Detalles Bibliográficos
Autores: Víquez, Luis, Barquero, Vinicio, Soler, Carles, Roldán, Eduardo R. S., Valverde, Anthony
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/215643
Acceso en línea:http://hdl.handle.net/10261/215643
Access Level:acceso abierto
Palabra clave:Spermatozoa
Bulls
Cluster
Kinematics
Motility
CASA
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spelling Kinematic Sub-Populations in Bull Spermatozoa: A Comparison of Classical and Bayesian ApproachesVíquez, LuisBarquero, VinicioSoler, CarlesRoldán, Eduardo R. S.Valverde, AnthonySpermatozoaBullsClusterKinematicsMotilityCASAThe 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 SP1, SP2, and SP3 were different for PC criteria and these differences were relevant. For velocity, linearity, and progressiveness, the SP4 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.This work was supported by Fundación para el Fomento y Promoción de la Investigación y Transferencia de Tecnología Agropecuaria de Costa Rica (FITTACORI) and Costa Rica Institute of Technology (Vice-Chancellor’s office of Research and Extension; VIE (Vicerrectoría de investigación y Extensión); Project 5402-2151-1014-). The funders had no role in study design, data collection, and analysis, decision to publish, or preparation of the manuscript.Peer reviewedMultidisciplinary Digital Publishing InstituteFundación para el Fomento y Promoción de la Investigación y Transferencia de Tecnología Agropecuaria de Costa RicaTecnológico de Costa RicaConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2020202020202020info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/215643reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttps://doi.org/10.3390/biology9060138Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2156432026-05-22T06:33:51Z
dc.title.none.fl_str_mv 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
spellingShingle Kinematic Sub-Populations in Bull Spermatozoa: A Comparison of Classical and Bayesian Approaches
Víquez, Luis
Spermatozoa
Bulls
Cluster
Kinematics
Motility
CASA
title_short 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_sort Kinematic Sub-Populations in Bull Spermatozoa: A Comparison of Classical and Bayesian Approaches
dc.creator.none.fl_str_mv Víquez, Luis
Barquero, Vinicio
Soler, Carles
Roldán, Eduardo R. S.
Valverde, Anthony
author Víquez, Luis
author_facet Víquez, Luis
Barquero, Vinicio
Soler, Carles
Roldán, Eduardo R. S.
Valverde, Anthony
author_role author
author2 Barquero, Vinicio
Soler, Carles
Roldán, Eduardo R. S.
Valverde, Anthony
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Fundación para el Fomento y Promoción de la Investigación y Transferencia de Tecnología Agropecuaria de Costa Rica
Tecnológico de Costa Rica
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Spermatozoa
Bulls
Cluster
Kinematics
Motility
CASA
topic Spermatozoa
Bulls
Cluster
Kinematics
Motility
CASA
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 SP1, SP2, and SP3 were different for PC criteria and these differences were relevant. For velocity, linearity, and progressiveness, the SP4 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.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020
2020
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/215643
url http://hdl.handle.net/10261/215643
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://doi.org/10.3390/biology9060138
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812455

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