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dc.contributor.authorBeirão, J.-
dc.contributor.authorCabrita, Elsa-
dc.contributor.authorPérez-Cerezales, Serafín-
dc.contributor.authorMartínez-Páramo, S.-
dc.contributor.authorHerráez, M. P.-
dc.date.accessioned2011-12-20T07:52:10Z-
dc.date.available2011-12-20T07:52:10Z-
dc.date.issued2010-11-26-
dc.identifier.citationCryobiology 62(1): 22-31 (2011)es_ES
dc.identifier.issn0011-2240-
dc.identifier.otherPMID: 21112321-
dc.identifier.urihttp://hdl.handle.net/10261/43479-
dc.description10 páginas, 5 figuras, 4 tablas.es_ES
dc.description.abstractThe evaluation of the motility data obtained with a CASA system, applying a Two-Step Cluster analysis, identified in seabream sperm 3 different sperm subpopulations that correlated differently with embryo hatching rates. Hence, we designed an experiment to understand the effect of the application of different cryopreservation protocols in these sperm motility-based subpopulations. We analyzed Sparus aurata frozen/thawed semen motility 15, 30, 45 and 60 s after activation, using CASA software. Different protocols were applied for cryopreservation: three different cryoprotectants (Dimethyl Sulfoxide (Me2SO), Ethylene Glycol (EG) and Propylene Glycol (PG)) each at two different concentrations and two packaging volumes (0.5 ml straws, and 1.8 ml cryovials) were tested. Different freezing rates were evaluated corresponding to 1, 2, 3, 4 and 8 cm above the liquid nitrogen surface for the straws and 1, 2 and 4 cm for the cryovials. Motility parameters rendered by CASA were treated with a Two-Step Cluster analysis. Three different subpopulations were obtained: SP1 – slow non-linear spermatozoa, SP2 – slow linear spermatozoa and SP3 – fast linear spermatozoa. We considered SP3 as the subpopulation of interest and focused further analyses on it. Generally, SP3 was the best represented subpopulation 15 s after activation and was also the one showing a greater decrease in time, being the least represented after 60 s. According to the applied univariate general linear model, samples frozen in straws with 5% Me2SO and in cryovials with 10% Me2SO at 2 and 1 cm from the LN2, respectively, produced the best results (closer to the control). Clustering analysis allowed the detection of fish sperm subpopulations according to their motility pattern and showed that sperm composition in terms of subpopulations was differentially affected by the cryopreservation protocol depending on the cryoprotectant used, freezing rates and packaging systems.es_ES
dc.description.sponsorshipThis work was supported by a PhD grant (SFRH/BD/31990/2006) and by the project Petri (PTR 95.1026.OP.01).es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsclosedAccesses_ES
dc.subjectCASAes_ES
dc.subjectCryopreservationes_ES
dc.subjectSparus aurataes_ES
dc.subjectSperm qualityes_ES
dc.subjectSubpopulationses_ES
dc.titleEffect of cryopreservation on fish sperm subpopulationses_ES
dc.typeartículoes_ES
dc.identifier.doi10.1016/j.cryobiol.2010.11.005-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.cryobiol.2010.11.005es_ES
dc.identifier.e-issn1090-2392-
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.openairetypeartículo-
item.fulltextNo Fulltext-
item.languageiso639-1en-
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