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Cluster analysis reveals seasonal variation of sperm subpopulations in extended boar semen
This study aimed to identify motile sperm subpopulations in extended boar semen and to observe the presumptive seasonal variation in their distribution. Data from 4837 boar ejaculates collected over a two-year period were analyzed in terms of kinematic parameters by Computer Assisted Sperm Analysis...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Society for Reproduction and Development
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5830356/ https://www.ncbi.nlm.nih.gov/pubmed/29081440 http://dx.doi.org/10.1262/jrd.2017-083 |
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author | IBĂNESCU, Iulian LEIDING, Claus BOLLWEIN, Heinrich |
author_facet | IBĂNESCU, Iulian LEIDING, Claus BOLLWEIN, Heinrich |
author_sort | IBĂNESCU, Iulian |
collection | PubMed |
description | This study aimed to identify motile sperm subpopulations in extended boar semen and to observe the presumptive seasonal variation in their distribution. Data from 4837 boar ejaculates collected over a two-year period were analyzed in terms of kinematic parameters by Computer Assisted Sperm Analysis (CASA). Individual sperm data were used to determine subgroups of motile sperm within the ejaculates using cluster analysis. Four motile sperm subpopulations (SP) were identified, with distinct movement patterns: SP1 sperm with high velocity and high linearity; SP2 sperm with high velocity but low linearity; SP3 sperm with low velocity but high linearity; and SP4 sperm with low velocity and low linearity. SP1 constituted the least overall proportion within the ejaculates (P < 0.05). Season of semen collection significantly influenced the different proportions of sperm subpopulations. Spring was characterized by similar proportions of SP1 and SP4 (NS) and higher proportions of SP3. Summer brought a decrease in both subgroups containing fast sperm (SP1 and SP2) (P < 0.05). During autumn, increases in SP2 and SP4 were recorded. Winter substantially affected the proportions of all sperm subpopulations (P < 0.05) and SP2 became the most represented subgroup, while SP1 (fast and linear) reached its highest proportion compared to other seasons. In conclusion, extended boar semen is structured in distinct motile sperm subpopulations whose proportions vary according to the season of collection. Summer and autumn seem to have a negative impact on the fast and linear subpopulation. Cluster analysis can be useful in revealing differences in semen quality that are not normally detected by classical evaluation based on mean values. |
format | Online Article Text |
id | pubmed-5830356 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | The Society for Reproduction and Development |
record_format | MEDLINE/PubMed |
spelling | pubmed-58303562018-03-06 Cluster analysis reveals seasonal variation of sperm subpopulations in extended boar semen IBĂNESCU, Iulian LEIDING, Claus BOLLWEIN, Heinrich J Reprod Dev Original Article This study aimed to identify motile sperm subpopulations in extended boar semen and to observe the presumptive seasonal variation in their distribution. Data from 4837 boar ejaculates collected over a two-year period were analyzed in terms of kinematic parameters by Computer Assisted Sperm Analysis (CASA). Individual sperm data were used to determine subgroups of motile sperm within the ejaculates using cluster analysis. Four motile sperm subpopulations (SP) were identified, with distinct movement patterns: SP1 sperm with high velocity and high linearity; SP2 sperm with high velocity but low linearity; SP3 sperm with low velocity but high linearity; and SP4 sperm with low velocity and low linearity. SP1 constituted the least overall proportion within the ejaculates (P < 0.05). Season of semen collection significantly influenced the different proportions of sperm subpopulations. Spring was characterized by similar proportions of SP1 and SP4 (NS) and higher proportions of SP3. Summer brought a decrease in both subgroups containing fast sperm (SP1 and SP2) (P < 0.05). During autumn, increases in SP2 and SP4 were recorded. Winter substantially affected the proportions of all sperm subpopulations (P < 0.05) and SP2 became the most represented subgroup, while SP1 (fast and linear) reached its highest proportion compared to other seasons. In conclusion, extended boar semen is structured in distinct motile sperm subpopulations whose proportions vary according to the season of collection. Summer and autumn seem to have a negative impact on the fast and linear subpopulation. Cluster analysis can be useful in revealing differences in semen quality that are not normally detected by classical evaluation based on mean values. The Society for Reproduction and Development 2017-10-28 2018-02 /pmc/articles/PMC5830356/ /pubmed/29081440 http://dx.doi.org/10.1262/jrd.2017-083 Text en ©2018 Society for Reproduction and Development This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives (by-nc-nd) License. (CC-BY-NC-ND 4.0: https://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | Original Article IBĂNESCU, Iulian LEIDING, Claus BOLLWEIN, Heinrich Cluster analysis reveals seasonal variation of sperm subpopulations in extended boar semen |
title | Cluster analysis reveals seasonal variation of sperm subpopulations in extended boar semen |
title_full | Cluster analysis reveals seasonal variation of sperm subpopulations in extended boar semen |
title_fullStr | Cluster analysis reveals seasonal variation of sperm subpopulations in extended boar semen |
title_full_unstemmed | Cluster analysis reveals seasonal variation of sperm subpopulations in extended boar semen |
title_short | Cluster analysis reveals seasonal variation of sperm subpopulations in extended boar semen |
title_sort | cluster analysis reveals seasonal variation of sperm subpopulations in extended boar semen |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5830356/ https://www.ncbi.nlm.nih.gov/pubmed/29081440 http://dx.doi.org/10.1262/jrd.2017-083 |
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