Seasonal dynamics of sperm morphometric subpopulations and its association with sperm quality parameters in ram ejaculates

Sperm morphologic assessment is considered an irreplaceable part of standard laboratory routine analyses in the diagnosis of male fertility. Thus, in an attempt to quantify the effects of season on sperm morphology and its functional significance in relation to sperm quality parameters, sperm head morphometric traits were analyzed by using an objective computerized analysis combined with principal components analysis (PCA) cluster analysis to establish the relationship between the distribution of the subpopulations found and sperm quality in each season. There were slight variations on sperm motility and sperm membrane integrity indexes (P > 0.05). However, the mean values for sperm concentration substantially changed among seasons in all individuals studied (P < 0.01). There were significant differences in sperm morphometric parameters (P < 0.01) as well as in the distribution of morphometric subpopulations between seasons (P < 0.001). In conclusion, this study confirmed that there was an important seasonal effect on sperm morphometric traits. In addition, the distribution of these subpopulations seems to be related to the season studied and the ejaculate quality which would be a very important indicator of sperm function. The substantial information derived from these morphometric subpopulations has provided new knowledge which can be used in future studies using sperm morphometry as a seasonal indicator in ram ejaculates.     

Sperm morphometric subpopulations are differentially distributed in rams with different maturity age in cryopreserved ejaculates

It is widely accepted that sperm morphology is a good indicator of fertility and it has been proposed that sperm quality may be related to subtle changes in sperm head morphology. However, a precise estimation of the morphology of ram sperm would be very useful to improve reproductive success in ovine. Computer-assisted morphometric analysis and clustering analysis have been important tools to study sperm subpopulations in domestic animals. However, to the best of our knowledge, no data exist studing morphometric differences regarding to sperm subpopulations within the ovine ejaculate. The aim of this study was to test the presence and distribution of sperm morphometric subpopulations in cryopreserved ejaculates from yearling and mature rams using an objective method by computer analysis system and to establish the relationship between the distribution of the subpopulations found and sperm quality in each individual ram. Principal component analysis revealed that three principal components for yearlings and four components for mature rams that represented more than 84% of the cumulative variance in both cases. After cluster analysis, three sperm morphometric subpopulations for yearlings (CLY) and four for mature (CLM) rams were identified with defined sperm dimensions and shapes. CLY1 included big, round and short sperm (37%), CLY2 included average size and slightly elliptical and elongated sperm (48%), CLY3 included small, long, elliptical and elongated sperm cells (15%). CLM1 consisted of average size and moderate elliptical and elongated (26%), CLM2 consisted of small, long, elliptical and elongated (31%), CLM3 consisted of small and round (32%) and CLM4 included big, short and round (8%) spermatozoa respectively. There were significant differences in the distribution of the three subpopulations (P < 0.001) as well as in the sperm concentration, total motility (%), sperm viability (%) and the overall (P < 0.05) in the ejaculates among the four yearling rams tested. Same results were found for the four subpopulations and the different sperm quality parameters in the ejaculates among the four mature rams tested. In conclusion, cryopreserved ram semen showed a specific structure with regard to sperm morphometric subpopulations. In addition, the distribution of these subpopulations seems to be related to stud maturity age and the ejaculate quality which would be a very important indicator of sperm function. Thus, analysis of sperm morphometric subpopulation structure together with functional tests could provide valuable information to assess the cryoresistence of ram spermatozoa.     

Morphometrically-distinct sperm subpopulations defined by a multistep statistical procedure in ram ejaculates: intra- and interindividual variation

The existence of sperm subpopulations within the mammalian ejaculate has now been widely recognized. However, to the best of our knowledge, no data exist regarding the existence of sperm morphometric subpopulations within the ovine ejaculate. Computer assisted sperm morphometry analysis (ASMA) data and clustering methods were used in this study to identify sperm-head subpopulations in ram semen. Two experiments were carried out. In Experiment 1, ejaculates from 226 mature rams of the Manchega breed belonging to 36 different herds were used. A minimum of 100 sperm heads were analyzed from each male and eight morphometric characteristics for each individual sperm were recorded. Subpopulation analysis was performed in sequential steps: variable group analysis and correlation analysis to select which morphometric characteristics to use in cluster analyses; nonhierarchical clustering analysis using sperm head length and p2a (also known as roundness) shape factor as initial classificatory variables; and hierarchical clustering analysis to obtain the final number of clusters. The clustering analyses, based on 26 306 individual cells, revealed the existence of four sperm subpopulations (SP1, SP2, SP3 and SP4) with different morphometric characteristics. Significant differences in the proportion of spermatozoa in the SP1 and SP3 were found between rams belonging to different herds. In Experiment 2, the intra- and intermale variability on the distribution of sperm subpopulations was assessed. Three ejaculates from each of 21 rams were collected and the same multistep clustering analysis was performed. For all subpopulations defined, the intermale variability resulted in high values, being the intramale variability much lower. This fact would allow the use of sperm head morphometry to characterize a male and might provide valuable information to asses its fertility. In conclusion, our results show that using computer assisted sperm morphometry analysis and multivariate cluster analyses, four sperm subpopulations with different head phenotype were identified in ram ejaculates.     

Identification of sperm subpopulations with defined motility characteristics in ejaculates from Florida goats

The aims of this study were to test the presence of discrete sperm subpopulations in Florida goat ejaculates using a computer-assisted sperm analysis (CASA) system and to establish the relationship between the distribution of the subpopulations found and individual buck, total motility, and sperm concentration. Clustering methods and discriminant analysis were applied to identify motile sperm subpopulations within the semen samples. Principal component analysis revealed that three principal components represented more than the 88% of the variance. After the cluster analysis was performed four motile sperm subpopulations were identified. Subpopulation 1 consisted of rapid and linear sperm (39.84%), Subpopulation 2 consisted of slow but linear spermatozoa (33.23%), Subpopulation 3 consisted of rapid, high ALH but non-linear spermatozoa (14.63%), and Subpopulation 4 consisted of slow and non-linear spermatozoa (12.31%). There were significant differences in the distribution of the four subpopulations (P < 0.001) as well as in the percentage of total motility and the overall sperm concentration (P < 0.05) in fresh ejaculates among the four bucks tested. In conclusion, four well-defined motile sperm subpopulations were identified in Florida goat ejaculates. The relationship between the distribution of the sperm subpopulations and individual buck, total motility, and sperm concentration shows that the spermatozoa of each have different motility patterns. Therefore, the study of discrete subpopulations of motile spermatozoa could lead to a substantial increase in information acquired during caprine semen analysis.     

Identification of sperm morphometric subpopulations in the canine ejaculate: do they reflect different subpopulations in sperm chromatin integrity?

A statistical approach using sequentially principal component analysis (PCA) clustering and discriminant analysis was developed to disclose morphometric sperm subpopulations. In addition, we used a similar approach to disclose subpopulations of spermatozoa with different degrees of DNA fragmentation. It is widely accepted that sperm morphology is a strong indicator of semen quality and since the sperm head mainly comprises the sperm DNA, it has been proposed that subtle changes in sperm head morphology may be related to abnormal DNA content. Semen from four mongrel dogs (five replicates per dog) were used to investigate DNA quality by means of the sperm chromatin structure assay (SCSA), and for computerized sperm morphometry (ASMA). Each sperm head was measured for nine primary parameters: head area (A), head perimeter (P), head length (L), head width (W), acrosome area (%), midpiece width (w), midpiece area (a), distance (d) between the major axes of the head and midpiece, angle (theta) of divergence of the midpiece from the head axis; and four parameters of head shape: FUN1 (L/W), FUN2 (4pi A/P2), FUN3 ((L - W)/(L + W)) and FUN 4 (pi LW/4A). The data matrix consisted of 2361 observations, (morphometric analysis on individual spermatozoa) and 63,815 observations for the DNA integrity. The PCA analysis revealed five variables with Eigen values over 1, representing more than 79% of the cumulative variance. The morphometric data revealed five sperm subpopulations, while the DNA data gave six subpopulations of spermatozoa with different DNA integrity. Significant differences were found in the percentage of spermatozoa falling in each cluster among dogs (p < 0.05). Linear regression models including sperm head shape factors 2, 3 and 4 predicted the amount of denatured DNA within each individual spermatozoon (p < 0.001). We conclude that the ASMA analysis can be considered a powerful tool to improve the spermiogram.     

Identification of sperm subpopulations with defined motility characteristics in ejaculates from Ile de France rams

The aims of this study were to identify different motile sperm subpopulations in fresh ejaculates from six Ile de France rams, by using a computer-assisted sperm motility analysis (CASA) system, and to evaluate the effects of individual ram and season on population distribution. Overall sperm motility and individual kinematic parameters of motile spermatozoa were evaluated for 125,312 spermatozoa, defined by curvilinear velocity (VCL), linear velocity (VSL), average path velocity (VAP), linearity coefficient (LIN), straightness coefficient (STR), wobble coefficient (WOB), mean amplitude of lateral head displacement (ALH) and frequency of head displacement (BCF). A multivariate cluster analysis was carried out to classify these spermatozoa into a reduced number of subpopulations according to their movement patterns. The statistical analysis clustered the whole motile sperm population into five separate groups: subpopulation 1, constituted by rapid, progressive and non sinuous spermatozoa (VCL=126.41 μm/s, STR=92.87% and LIN=86.47%); subpopulation 2, characterized by progressive spermatozoa with moderate velocity (VCL=74.74 μm/s and STR=84.03%); subpopulation 3, represented by rapid, progressive and sinuous spermatozoa (VCL=130.45 μm/s, STR=76.02% and LIN=47.68%); subpopulation 4 represents rapid nonprogressive spermatozoa (VCL=128.69 μm/s and STR=44.09%); subpopulation 5 includes poorly motile, nonprogressive spermatozoa with a very irregular trajectory (VCL=36.81 μm/s and STR=47.04%). Our results show the existence of five subpopulations of motile spermatozoa in ram ejaculates. The frequency distribution of spermatozoa within subpopulations was quite similar for the six rams, and the five subpopulations turned out to be very stable along seasons.     

Changes in subpopulations of boar sperm defined according to viability and plasma and acrosome membrane status observed during storage at 15 degrees C

Four boar ejaculates were preserved for 42 d at 15 °C to examine the changes produced in the quality of sperm membranes according to their response to a combined short hypoosmotic swelling test (sHOST) plus viability test designated the sHV test. Every 1 or 2 d, a sample from each ejaculate preserved in long-term extender was subjected to sperm motility determination and the sHV test. Through simultaneous examination by phase contrast and fluorescence microscopy, three subpopulations of sperm were identified according to their response to sHOST challenge and their viability status. In the subpopulations scoring positive in the sHOST, a further four sperm subpopulations were defined according to their viability and acrosome status. All the sperm subpopulations differed in terms of changes in their proportions produced during the course of preservation and individual differences among ejaculates were detected in terms of relationships shown among subpopulations. The combined sHOST/viability test was able to identify sperm subpopulations with the strongest plasma and acrosome membranes as well as a subpopulation of sperm that had undergone a true acrosome reaction.     

Study of nuclear and acrosomal sperm morphometry in ram using a computer-assisted sperm morphometry analysis fluorescence (CASMA-F) method

The aim of this study was to develop a new method that allows morphometric assessment of the sperm nucleus and acrosome in the ram using fluorescence microscopy and free software. The study was divided into three experiments. In the first experiment, semen smears from 20 ejaculates were fixed and labeled with a propidium iodide–pisum sativum agglutinin (PI/PSA) combination. Digital images of the sperm nucleus, acrosome, and whole sperm head were captured and analyzed using the ImageJ program. The computer-assisted sperm morphometry analysis fluorescence (CASMA-F) method used allowed the differentiation, capture, and morphometric analysis of most sperm nuclei, acrosomes, and whole heads with high precision and the assessment of the acrosomal status. In the second experiment, sperm nuclear morphometry by CASMA-F was compared by staining with the PI/PSA combination and staining with Hoechst 33342 as in previous studies. Similar results were obtained using both methods. In the third experiment, CASMA-F with PI/PSA was compared with a more conventional CASMA method (semen smears stained with Hemacolor (HEM) and processed with the ISAS commercial software, HEM). Spermatozoa displayed a bigger size when processed with CASMA-F than with HEM method in all primary sperm head morphometric parameters, but results using both methods were correlated. It was concluded that the CASMA-F method allows the simultaneous assessment of sperm nucleus, acrosome, and head in the ram.     

Characterization of ram (Ovis aries) sperm head morphometry using the Sperm-Class Analyzer

Sperm morphology has been identified as a characteristic that can be useful in the prediction of fertilizing capacity. The aim of the current study was to characterize ram sperm heads morphometrically as a basis for future studies on the relationship between sperm quality and male fertility. For this purpose, ejaculates from 241 mature rams (Ovis aries) belonging to 36 different dairy herds were used to evaluate sperm head morphometry by means of the Sperm-Class Analyzer. Sperm samples, collected by artificial vagina, were diluted in phosphate buffered saline (PBS) for the analysis. A microscope slide was prepared from single-diluted fresh sperm samples. Slides were air-dried and stained with Hemacolor. A minimum of 115 sperm heads were analyzed from each male. Each sperm head was measured for four primary parameters (area, perimeter, length, width), and four derived parameters of head shape were obtained. Significant differences in sperm head morphometry were found between rams (CV for morphometric parameters ranging from 0.9 to 10.1), and there were marked differences in the sperm morphometric composition of the ejaculates. For all parameters, within-animal CVs were greater than between-animal CVs. Within-animal CVs ranged from 4.2 to 10.6, showing the high degree of sperm polymorphism present in the sheep ejaculate. Significant differences in sperm head morphometry were found between rams belonging to the different herds (i.e., origin). An important part of the variability observed on morphometric parameters was due to the male itself, with an explained variance ranging from 3.6% for regularity to 34.0% for p2a (perimeter²/[4 × π × area]). The explained variance by the herd of origin of the males ranged from 0.6% for regularity to 10.8% for area. Our results suggest that a genetic component might be responsible for the observed sperm head morphometry differences between herds.     

The relationship between ram sperm head morphometry and fertility depends on the procedures of acquisition and analysis used

Sperm head morphometry is a parameter in the evaluation of semen that has been associated with fertility in two ways: comparing morphometric measures between predefined groups of fertility; or analyzing morphometric data by multivariate techniques to identify cell populations. We analyzed the morphometry of ram sperm head by three procedures and checked its relationship with male fertility. A Computer-Aided Sperm Morphometric Assessment procedure (CASMA), an image analysis software (NIS-Elements) in combination with an optical microscope (MO-NIS) and this image analysis software in combination with a scanning electron microscope (SEM-NIS) were used. Eight morphometric parameters were assessed: length, width, area, perimeter, ellipticity, form factor, elongation and regularity. We observed significant differences between the morphometric data of sperm head obtained with three study procedures. The CASMA procedure shows the highest values for all parameters and the SEM-NIS procedure the lowest. The analysis of a semen sample, when only the mean of morphometric parameters is used to describe the cell population, is too limited to interpret their fertilizing capacity. It is essential to analyze the complex structure of the samples by defining subpopulations by multivariate methods. With few exceptions, the means of each morphometric parameter differ between the three subpopulations analyzed in each procedure. Only the subpopulations obtained with the MO-NIS procedure showed a significant correlation with male fertility. In short, it is necessary to establish an instrumental standard for the analysis of sperm morphometry to obtain reliable results and we believe that the MO-NIS system presents these basic requirements.     

Sperm head phenotype and male fertility in ram semen

Although there is ample evidence for the effects of sperm head shape on sperm function, its impact on fertility has not been explored in detail at the intraspecific level in mammals. Here, we assess the relationship between sperm head shape and male fertility in a large-scale study in Manchega sheep (Ovis aries), which have not undergone any selection for fertility. Semen was collected from 83 mature rams, and before insemination, head shapes were measured for five parameters: area, perimeter, length, width, and p2a (perimeter²/2×π×area) using a computer-assisted sperm morphometric analysis. In addition, a cluster analysis using sperm head length and p2a factor was performed to determine sperm subpopulations (SPs) structure. Our results show the existence of four sperm SPs, which present different sperm head phenotype: SP1 (large and round), SP2 (short and elongated), SP3 (shortest and round), and SP4 (large and the most elongated). No relationships were found between males' fertility rates and average values of sperm head dimensions. However, differences in fertility rates between rams were strongly associated to the proportion of spermatozoa in an ejaculate SP with short and elongated heads (P < 0.001). These findings show how the heterogeneity in sperm head shape of the ejaculate has an effect on reproductive success, and highlight the important role of modulation of the ejaculate at the intraspecific level.     

Automatic evaluation of ram sperm morphometry

This study was designed to develop a new method based on fluorescence microscopy and image analysis for the automatic assessment of sperm morphometry and to study separately the effect of drying and fixation on the parameters of head sperm morphometry in the ram. The study was divided into two experiments. In the first experiment, ejaculates from 25 adult males were collected using an artificial vagina, diluted and divided into four sample aliquots. The first was labeled directly with Hoechst 33342 (FRESH), and the others were processed as smears. Between smears, one group was directly labeled with Hoechst after air drying (DRIED), and the other were fixed either with glutaraldehyde (GLUT), or with methanol (MET), and labeled with Hoechst afterward. Digital images of the fluorescence-labeled sperm were recorded with a digital camera, and sperm heads were automatically captured and analyzed using the ImageJ program. The method used allowed a fast and automatic selection of most sperm heads for a given image with high precision. There was a general trend toward significant decrease in head length, width, area and perimeter of air-dried sperm compared with fresh sperm. On average, this decrease was of 4.1% in length, 4.3% in width, 9.1% in area, and 2.8% in perimeter. Between semen smears, fixation with glutaraldehyde significantly increased head sperm dimensions. The smears fixed with glutaraldehyde method is recommended for a more practical use than with fresh samples, providing better quality images than the other methods, and because the morphometric results obtained were more similar to the FRESH group than those of the DRIED and MET. In the second experiment, ejaculates from adult males were used to compare the sperm head morphometric results obtained with the new method developed (using the GLUT treatment as reference) with a more conventional CASMA method (semen smears stained with Hemacolor and processed with the ISAS commercial software, HEM). The GLUT method allowed the analysis of 100% of sperm, whereas only 93% of sperm could be analyzed using HEM. Spermatozoa displayed a bigger size when processed with HEM than with GLUT method in all primary sperm head morphometric parameters. A significant correlation was observed between the two methods used in this experiment for all morphometric size parameters. The new method developed allows automatic determination of sperm head morphometry in a reduced time, which facilitates its use in routine semen analysis. It was concluded that the automation of sperm morphometry is feasible using fluorescence microscopy and image analysis and that the effect of drying and fixation was less important than previously stated.     

The degree of resistance to freezing-thawing is related to specific changes in the structures of motile sperm subpopulations and mitochondrial activity in boar spermatozoa

The main aim of this work was to analyze the possible relationship between the structures of motile-sperm subpopulations and boar (Sus scrofa domesticus) sperm resistance to freezability. For this purpose, 45 boar ejaculates were subjected to a standard freezing-thawing protocol, and afterwards they were classified into three groups, in accordance with their resistance to freezing-thawing. Our analysis yielded four separate motile-sperm subpopulations in all of the studied ejaculates, both in fresh samples and after freezing-thawing. Furthermore, whereas curvilinear velocity (VCL), mean velocity (VAP), and dance (DNC) of sperm from Subpopulation 1 underwent significant increases after freezing-thawing in samples with a good response to freezing-thawing, the same parameters of Subpopulation 1 either did not undergo significant variations (VCL and DNC) or even showed a decrease (VAP) (from 20.4 ± 0.4 μm/sec in fresh samples to 15.2 ± 2.2 μm/sec after freezing-thawing) in samples with the poorest response. Similarly, the behavior of other motility parameters in each subpopulation was also very different in the worst samples when comparing them with those with a good or average response to cryopreservation. Additionally, the DNC of all four subpopulations was in all cases lower in samples with the poorest characteristics of freezability. This was not the only difference, and significant changes in parameters such as the VCL of Subpopulations 2 and 4, linearity coefficient (LIN) of Subpopulations 1, 2, and 3, and wobble coefficient (WOB) of Subpopulations 2 and 3 were also observed in samples with different response to freezing-thawing. Meanwhile, the determination of mitochondrial activity and mitochondrial-linked reactive oxygen species formation indicated that the samples with the poorest freezability characteristics were also those with the lowest mitochondrial activity. We conclude that boar ejaculate resistance to cryopreservation seems to be related to the specific, initial motile-sperm subpopulation structure. In turn, this structure would be closely related to the specific, overall mitochondrial activity, which would be a very important indicator of sperm function. Furthermore, and as a practical conclusion, an in-depth analysis of motile sperm subpopulation structure together with functional tests could improve the design of predictive strategies for the freezability of boar sperm.     

Sperm quality evaluation in Solea senegalensis during the reproductive season at cellular level

Sperm quality seems to be one of the reasons for the reproduction constraints faced by Senegalese sole (Solea senegalensis) aquaculturists. Previous studies in this species indicated that the sperm quality of individuals kept in culture varies throughout the year and that different sperm subpopulations can be identified in ejaculates according to the motility pattern of spermatozoa. Aiming to better understand factors affecting sole sperm quality in captivity, sperm of 11 males was assessed during the reproductive season using different parameters: motility characteristics using CASA analysis; cell plasma membrane resistance to seawater hyperosmolarity; DNA fragmentation with single-cell gel electrophoresis; and early apoptosis, labeled with Annexin-V FITC. Computer-assisted sperm analyses motility data were treated using multivariate analysis to identify the presence of different spermatozoa subpopulations according to their motility pattern. Four distinct sperm subpopulations were obtained: Subpop1, which includes fast linear spermatozoa; Subpop2, made up of fast nonlinear spermatozoa; Subpop3, which includes slow linear spermatozoa; and Subpop4, which contains slow nonlinear spermatozoa. The sperm subpopulation structure varied with time after activation and with male. Low cell resistance to the seawater hyperosmotic conditions was noticed. The Annexin-V assay allowed the identification of an apoptotic population ranging from 6% to 20%. A high percentage of cells (64.1%) showed a DNA fragmentation level below 30%, but these values varied significantly between males. DNA fragmentation appears to be related to cell membrane resistance to hyperosmotic conditions faced by the cells when in contact with seawater. This condition seems to modulate the composition of the motile sperm population and performance after activation. This phenomenon could be related to the spermatozoa maturation process.     

Subpopulation distribution of motile sperm relative to activation medium in steelhead (Oncorhynchus mykiss)

In the present study, steelhead sperm were activated in artificial tap water, ovarian fluid, activating saline, or in combinations of these media, and motility characteristics were determined using computer-assisted sperm analysis. Motility characteristics of individual sperm were then assessed to test the hypothesis that motile sperm are distributed among discrete subpopulations and that their distribution is influenced by the activation medium. Analysis with k-means clustering detected three discrete motile sperm subpopulations in steelhead semen, regardless of the activation medium. Based on multivariate analysis of variance, proportions of these subpopulations did not differ between sperm activated with ovarian fluid and activating saline, or any combination of these two media. However, subpopulation distributions for sperm activated with either ovarian fluid or activating saline were influenced by the level of dilution of these media in artificial tap water. There was an increase in the number of sperm in high velocity (curvilinear), high straightness, and high wobble subpopulation with increased levels of ovarian fluid or activating saline. The change in sperm motility characteristics with a change in activation medium may play a role in normal fertilization, as discharged sperm pass from seminal plasma and water through ovarian fluid en route to the egg.     

Evaluation of sperm subpopulation structure in relation to in vitro sperm–oocyte interaction of frozen-thawed semen from Holstein bulls

The present study examined the relationship between the relative amount of high motile sperm and sperm–oocyte interactions obtained from Holstein bull ejaculates. Post-thaw sperm motility was analyzed using a computer-assisted sperm analyzer system and evaluated to determine the sperm motility subpopulations. Adhesion and penetration of zona pellucida (ZP) and pronucleus formation using post-thawed samples (15 ejaculates form 5 different bulls) with different percentages of sperm in the subpopulation with the fastest and most progressive subpopulation (subpopulation 4 [SP4]) were analyzed. The correlation between the proportion of sperm in SP4 and the number of spermatozoa bound to the zona pellucida (ZBA), the penetration rate, and the rate of pronucleus formation were calculated. A significant (P < 0.05) and positive correlation was found between the number of spermatozoa bound to the zona pellucida, the penetration rate, and the rate of pronucleus formation with the proportion of sperm in SP4 (r = 0.79, r = 0.66, and r = 0.63, respectively). Our results suggest that this specific high motile and progressive subpopulation is positively and significantly correlated with the ability of a thawed bull semen sample to interact properly with the oocyte and its extracellular vestments. These findings emphasize the relevance of analyzing semen subpopulation composition to predict bull sperm fertilizing ability and to select Holstein bulls for breeding purposes.     

Cryopreservation effects on canine sperm morphometric variables and ultrastructure: Comparison between vitrification and conventional freezing

Semen cryopreservation is an increasingly demanded technique in canids, particularly in order to preserve and spread high genetic value material. Sperm vitrification may represent an interesting alternative to costly and time consuming conventional freezing. The objective of this study was to evaluate the effect of sperm vitrification on sperm morphometry and ultrastructure compared to conventional freezing. Pools of nine beagle dogs were both frozen and vitrified. Computerized morphological parameters (length, wide, area and perimeter) and sperm ultrastructure, using scanning and transmission microscopy, were analysed in both fresh and in thawed/warmed samples. There were no differences (p > 0.05) between post-thaw and fresh morphometric variables of the sperm heads. However, cluster analysis revealed that sperm-heads turned out to be smaller after thawing (p < 0.05) in two of the four subpopulations. Vitrification-warming process led to an overall increase in sperm-head size. Furthermore, the sperm head size increased after warming in two subpopulations (p < 0.05). In conclusion, the variations in the sperm head area depended on the cryopreservation procedure (conventional freezing or vitrification). Conventional freezing tended to decrease the head dimensions, at least in some subpopulations, and vitrification led to an overall increase in the sperm head size. Decondensation of chromatin and plasma membrane blebbing in the head region was observed by transmission electron microscopy in several vitrified sperm, which might explain the increase of head dimensions detected by CASA-Morph system.     

Taking advantage of the use of supervised learning methods for characterization of sperm population structure related with freezability in the Iberian red deer

Using Iberian red deer as a model, this study presents a supervised learning method, the Support Vector Machines (SVM), to characterize sperm population structure related with freezability. Male freezability was assessed by evaluating motility, membrane status and mitochondrial membrane potential of sperm after a freezing-thawing procedure. The SVM model was generated using sperm motility information captured by computer-assisted sperm analysis (CASA) from thawed semen, belonging to six stags with marked differences on their freezability. A total of 1369 sperm tracks were recorded for seven kinematic parameters and assigned to four motility patterns based on them: weak motile, progressive, transitional and hyperactivated-like. Then, these data were split in two sets: the training set, used to train the SVM model, and the testing set, used to examine how the SVM method and three other unsupervised methods, a non-hierarchical, a hierarchical and a multistep clustering procedures, performed the sperm classification into subpopulations. The SVM was revealed as the most accurate method in the characterization of sperm subpopulations, showing all the sperm subpopulations obtained in this way high significant correlations with those sperm parameters used to characterize freezability of males. Given its superiority, the SVM method was used to characterize the sperm motile subpopulations in Iberian red deer. Sperm motile data from frozen-thawed semen belonging to 25 stags were recorded and loaded into the SVM model. The sperm population structure revealed that those males showing poor freezability were characterized by high percentages of sperm with a weak motility pattern. In opposite, males showing good freezability were characterized by higher percentages of sperm with a progressive and hyperactivated-like motility pattern and lower percentages of sperm with a weak motile pattern. We also identified a sperm subpopulation with a transitional motility pattern. This subpopulation increased as the freezability of males improved, and may be used as indicative of overall sperm motility.     

Statistical Series: Opportunities and challenges of sperm motility subpopulation analysis

Computer-assisted sperm analysis (CASA) allows assessing the motility of individual spermatozoa, generating huge datasets. These datasets can be analyzed using data mining techniques such as cluster analysis, to group the spermatozoa in subpopulations with biological meaning. This review considers the use of statistical techniques for clustering CASA data, their challenges and possibilities. There are many clustering approaches potentially useful for grouping sperm motility data, but some options may be more appropriate than others. Future development should focus not only in improvements of subpopulation analysis, but also in finding consistent biological meanings for these subpopulations.