Perspectives de l’analyse de la mobilité des spermatozoïdes

Several studies have shown a good correlation between sperm motility and fertility though the microscopic evaluation of the percentage of motile sperm is highly subjective by nature. Therefore in the last decade, various objectives methods have been proposed to overcome this problem. Two types of methods were developed: The methods based on the analysis of images obtained by microphotography, microcinematography and microvideography and the global, undirect methods based on physical principles. Several systems based on video and image analysis (Computer Aided Sperm Analysis, CASA) have been developed and are used in numerous laboratories of reproductive biology. CASA technology offers the possibility to analyse some characteristics of sperm motion which are related to the fertilization potential and to develop new parameters related to some important aspects of sperm behavior such as hyperactivation. However, there is a large amount of interactions between the operator and the CASA machine. CASA instruments are not “ready-to-use” robots: the reliability of CASA depends largely on the expertise and training of the user and the application of standardized procedures and quality control schemes. By contrast, there is only minimal interaction between the operator and the Sperm Quality Anlyser which is a new device measuring and index of sperm motility highly correlated to the concentration of progressively motile sperm. The device uses light passed through a small sample of semen introduced in a capillary tube to detect variations in optical density that result from moving particles. The reproducibility of the measurements is excellent, the device is easy to use and this is a potentially useful tool for field-work studies. Further investigations of this device in the managment of male infertility is warranted. Finally, both types of objectives approaches are complementary to the conventional analysis of sperm motility and they will not replace it. Standardized procedures have been proposed by the World Health Organization for the subjective evaluation of sperm motility. Such procedures are very useful to reduce significantly the intra- and interlaboratory variations but internal and external quality controls schemes indicate that they are not sufficient to achieve acceptable levels of variation and regular quality controls followed by the definition and the application of corrective procedures are required.     

Usefulness of a triple fluorochrome combination Merocyanine 540/Yo-Pro 1/Hoechst 33342 in assessing membrane stability of viable frozen-thawed spermatozoa from Estonian Holstein AI bulls

In a situation where technology allows for the simultaneous measurement of numerous parameters of a single sperm cell, it becomes crucial to choose those parameters which may be useful in estimating in vivo fertility. Sperm membrane destabilization is believed to occur during chilling of semen, although its effect on the post-thaw (PT) fertility of the spermatozoa has not yet been fully assessed. For this reason, we tested a new combination of fluorophores, Merocyanine 540 (M540)/Yo-Pro 1/Hoechst 33342 (H33342), to detect sperm plasma membrane destabilization in bull spermatozoa conventionally processed for artificial insemination (AI). The samples were tested by flow cytometry (FC), both immediately PT and following an in vitro swimup (SU) technique, and results were thereafter compared with conventional sperm quality measurements (of concentration, motility, morphology, and membrane integrity), including in vivo fertility. Semen samples from six Estonian Holstein (EHF) AI bulls, frozen when the sires were aged 3, 5, and 7 years, allowed us to test the effect of bull age on quality of semen. Plasma membrane stability correlated to motility, normal head morphology (p<0.05), and membrane integrity (p<0.01). Following the SU selection, motility, membrane integrity (p<0.001), and membrane instability increased (p<0.01), as did stability (p<0.05). Bull age did not influence the degree of sperm membrane destabilization, except for the 3-year sample versus 7-year sample, in which the proportion of spermatozoa with destabilized plasma lemma increased PT (p<0.05) without affecting membrane integrity. Only parameters measured after SU, such as proportion of total motile and linearly motile spermatozoa, assessed with computer-assisted sperm analysis (CASA) (p<0.01), average path velocity (VAP) (p<0.001), and percentage of spermatozoa with unstable plasma lemma (p<0.05), had a significant relationship with non-return rate (NRR). The results indicate that a triple combination of the fluorophores M540/Yo-Pro 1/H33342 is suitable for monitoring the status of membrane stability in frozen-thawed (FT) bull spermatozoa. As well, a SU preselection method seems helpful in distinguishing relationships between sperm quality and fertility among bulls in a homogenous sire population.     

Assessment of boar semen quality in relation to fertility with special reference to methanol stress

The relationship between various semen evaluation tests and fertility in fertile and subfertile artificial insemination (AI) boars was examined. In total, 36 boars, 19 Finnish Landrace and 17 Yorkshire, were included. The average value of three ejaculates extended in an X-cell extender from each boar was used in the analysis. Based on nonreturn results (NR60d, later referred to nonreturn rate, NR%), the boars were divided into two groups: those with poor fertility (NR% < 80, n = 19) and those with normal or above average nonreturn rates (NR% = 83, n = 17). Semen quality was determined after 1 and 7 days of storage at 17 degrees C. Sperm motility before and after each methanol stress was assessed both subjectively and using a computer-assisted semen analyzer (CASA). The sperm cells were stained with calcein AM and propidium iodide and evaluated for plasma membrane integrity under an epifluorescence microscope. Propidium iodide and Hoechst 33258 dyes were used in parallel to stain sperm cells for fluorometric analysis with an automatic fluorometer. Sperm morphology was evaluated in stained smears. The percentage of sows reported as not having returned to estrus within 60 days after AI (nonreturn rate, NR%) and litter size of primiparous and multiparous farrowings were used as measures of fertility. Of the parameters analyzed, only CASA-assessed total sperm motility and methanol-stressed total sperm motility correlated significantly (P < 0.05) with nonreturn rate. Those tests presenting the highest correlation with nonreturn rate were CASA-assessed total motility (r = 0.54, P < 0.01) and subjective sperm motility (r = 0.52, P < 0.01) after 7 days of storage. The highest correlation with fertility at 1 day of storage was shown by methanol-stressed total sperm motility assessed with the CASA (r = 0.46, P < 0.01). The only semen parameter that correlated significantly (r = 0.37, P < 0.05) with litter size of multiparous farrowings was viability of seven-day stored semen stained with Hoechst 33258 and analyzed with a fluorometer. The methanol stress test described here could serve as a rapid test whose results could be used to predict NR% better than motility.     

Do parameters of seminal quality correlate with the results of on-farm inseminations in rabbits?

This study was conducted to determine if different sperm characteristics correlate with the in vivo fertility of rabbit sperm. A total of 2,765 heterospermic inseminations were performed in commercial rabbitries using 50-pooled samples of fresh semen. Sperm motility and morphological evaluations were performed on each of the heterospermic pooled samples to asses the seminal quality, and the percentage of kindling rate (76.2%) and number of kits born alive (9.3) were recorded. Sperm motility parameters, assessed using a computer-assisted sperm analysis (CASA) system (Sperm Class Analyzer, Microptic, Barcelona, Spain), were: average path velocity, curvilinear velocity, straight-line velocity, linearity, amplitude of lateral head displacement, beat cross-frequency, wobble and percentage of total motile spermatozoa. Morphological analyses included the percentage of sperm with a normal apical ridge, the percentage of sperm with cytoplasmatic droplets and the percentage of abnormal sperm. Significant correlations were observed between kindling rate and the percentage of total motile cells (r=0.31; P<0.05), linearity index (r=-0.32; P<0.05) and the percentage of abnormal sperm in the sample (r=-0.32; P<0.05). Regression models including motility and the morphological parameters explained 45% of the variation in kindling rate. These results indicate that motility parameters, determined by CASA systems, in combination with sperm morphology analyses can provide some information about the fertilizing potential of rabbit sperm.     

Relationship between sperm motility, morphology and the fertility of stallions

Sperm quality has an important role in determining fertility. Although there have been numerous studies to document the relationship between sperm quality and fertility, the methods of determining this association and conclusions vary. In the present study, computer-assisted sperm analysis (CASA) was used for evaluation of sperm motility, and differential interference contrast (DIC) microscopy was used for evaluating sperm morphologic features of breeding stallions. Fertility was measured using three endpoints: seasonal pregnancy rate (PR), percent pregnant/cycle (PC), and percent pregnant/first cycle (FCP). Increased total sperm motility (P = 0.08) and progressive path velocity (P = 0.06) tended to be associated with higher PR, whereas percent coiled tails (P = 0.02) was associated with a lower PR. Sperm motility variables associated with an increase in PC and FCP included total, progressive, and rapid sperm motility, and increased path and progressive velocity. Percent pregnant/first cycle was the only fertility measure able to discriminate among high, average, and low fertility groups, based on total and progressive sperm motility. Percent normal sperm was the only morphology variable associated with an increased PC and FCP, whereas increased levels of most sperm morphologic abnormalities (including abnormal and detached heads, proximal and distal droplets, general midpiece abnormality, and coiled tails) were associated with a decline in PC and FCP. Sperm quality variables most highly correlated with fertility included percent total sperm motility (PR, r = 0.37, P < 0.05; PC, r = 0.59, P < 0.05; and FCP, r = 0.64, P < 0.05), and percent morphologically normal sperm (PC, r = 0.42, P < 0.05; and FCP, r = 0.39, P < 0.05).     

Different computer-assisted sperm analysis (CASA) systems highly influence sperm motility parameters

In this study, we examined different computer-assisted sperm analysis (CASA) systems (CRISMAS, Hobson Sperm Tracker, and Image J CASA) on the exact same video recordings to evaluate the differences in sperm motility parameters related to the specific CASA used. To cover a wide range of sperm motility parameters, we chose 12-second video recordings at 25 and 50 Hz frame rates after sperm motility activation using three taxonomically distinct fish species (sterlet: Acipenser ruthenus L.; common carp: Cyprinus carpio L.; and rainbow trout: Oncorhynchus mykiss Walbaum) that are characterized by essential differences in sperm behavior during motility. Systematically higher values of velocity and beat cross frequency (BCF) were observed in video recordings obtained at 50 Hz frame frequency compared with 25 Hz for all three systems. Motility parameters were affected by the CASA and species used for analyses. Image J and CRISMAS calculated higher curvilinear velocity (VCL) values for rainbow trout and common carp at 25 Hz frequency compared with the Hobson Sperm Tracker, whereas at 50 Hz, a significant difference was observed only for rainbow trout sperm recordings. No significant difference was observed between the CASA systems for sterlet sperm motility at 25 and 50 Hz. Additional analysis of 1-second segments taken at three time points (1, 6, and 12 seconds of the recording) revealed a dramatic decrease in common carp and rainbow trout sperm speed. The motility parameters of sterlet spermatozoa did not change significantly during the 12-second motility period and should be considered as a suitable model for longer motility analyses. Our results indicated that the CASA used can affect motility results even when the same motility recordings are used. These results could be critically altered by the recording quality, time of analysis, and frame rate of camera, and could result in erroneous conclusions.     

Standardization of computer-assisted semen analysis using an e-learning application

Computer-assisted semen analysis (CASA) is primarily used to obtain accurate and objective kinetic sperm measurements. Additionally, AI centers use computer-assessed sperm concentration in the sample as a basis for calculating the number of insemination doses available from a given ejaculate. The reliability of data is often limited and results can vary even when the same CASA systems with identical settings are used. The objective of the present study was to develop a computer-based training module for standardized measurements with a CASA system and to evaluate its training effect on the quality of the assessment of sperm motility and concentration. A digital versatile disc (DVD) has been produced showing the standardization of sample preparation and analysis with the CASA system SpermVision™ version 3.0 (Minitube, Verona, WI, USA) in words, pictures, and videos, as well as the most probable sources of error. Eight test persons educated in spermatology, but with different levels of experience with the CASA system, prepared and assessed 10 aliquots from one prediluted bull ejaculate using the same CASA system and laboratory equipment before and after electronic learning (e-learning). After using the e-learning application, the coefficient of variation was reduced on average for the sperm concentration from 26.1% to 11.3% (P ≤ 0.01), and for motility from 5.8% to 3.1% (P ≤ 0.05). For five test persons, the difference in the coefficient of variation before and after use of the e-learning application was significant (P ≤ 0.05). Individual deviations of means from the group mean before e-learning were reduced compared with individual deviations from the group mean after e-learning. According to a survey, the e-learning application was highly accepted by users. In conclusion, e-learning presents an effective, efficient, and accepted tool for improvement of the precision of CASA measurements. This study provides a model for the standardization of other laboratory procedures using e-learning.     

Effect of semen preparation on casa motility results in cryopreserved bull spermatozoa

Computer-assisted sperm analyzers (CASA) have become the standard tool for evaluating sperm motility and kinetic patterns because they provide objective data for thousands of sperm tracks. However, these devices are not ready-to-use and standardization of analytical practices is a fundamental requirement. In this study, we evaluated the effects of some settings, such as frame rate and frames per field, chamber and time of analysis, and samples preparations, including thawing temperature, sperm sample concentration, and media used for dilution, on the kinetic results of bovine frozen-thawed semen using a CASA. In Experiment 1, the frame rate (30-60 frame/s) significantly affected motility parameters, whereas the number of frames per field (30 or 45) did not seem to affect sperm kinetics. In Experiment 2, the thawing protocol affects sperm motility and kinetic parameters. Sperm sample concentration significantly limited the opportunity to perform the analysis and the kinetic results. A concentration of 100 and 50 × 10⁶ sperm/mL limited the device's ability to perform the analysis or gave wrong results, whereas 5, 10, 20, and 30 × 10⁶ sperm/mL concentrations allowed the analysis to be performed, but with different results (Experiment 3). The medium used for the dilution of the sample, which is fundamental for a correct sperm head detection, affects sperm motility results (Experiment 4). In this study, Makler and Leja chambers were used to perform the semen analysis with CASA devices. The chamber used significantly affected motility results (Experiment 5). The time between chamber loading and analysis affected sperm velocities, regardless of chamber used. Based on results recorded in this study, we propose that the CASA evaluation of motility of bovine frozen-thawed semen using Hamilton-Thorne IVOS 12.3 should be performed using a frame rate of 60 frame/s and 30 frames per field. Semen should be diluted at least at 20 × 10⁶ sperm/mL using PBS. Furthermore, it is necessary to consider the type of chamber used and perform the analysis within 1 or 2 min, regardless of the chamber used.     

Computer assisted sperm analysis of motility patterns of postthawed epididymal spermatozoa of springbok (Antidorcas marsupialis), impala (Aepyceros melampus), and blesbok (Damaliscus dorcus phillipsi) incubated under conditions supporting domestic cattle in vitro fertilization

The need for information on the reproductive physiology of different wildlife species is important for ex situ conservation using such methods as in vitro fertilization (IVF). Information on species reproductive physiology and evaluation of sperm quality using accurate, objective, repeatable methods, such as computer-assisted sperm analysis (CASA) for ex situ conservation has become a priority. The aim of this study was to evaluate motility patterns of antelope epididymal spermatozoa incubated for 4 h under conditions that support bovine IVF using CASA. Cauda epididymal spermatozoa were collected postmortem from testicles of springbok (N = 38), impala (N = 26), and blesbok (N = 42), and cryopreserved in biladyl containing 7% glycerol. Spermatozoa were thawed and incubated in Capacitation media and modified Tyrode lactate (m-TL) IVF media using a protocol developed for domestic cattle IVF. The study evaluates 14 motility characteristics of the antelope epididymal sperm at six time points using CASA. Species differences in CASA parameters evaluated under similar conditions were observed. Several differences in individual motility parameters at the time points were reported for each species. Epididymal sperm of the different antelope species responded differently to capacitation agents exhibiting variations in hyperactivity. Motility parameters that describe the vigor of sperm decreased over time. Spermatozoa from the different antelope species have different physiological and optimal capacitation and in vitro culture requirements. The interspecies comparison of kinematic parameters of spermatozoa between the antelopes over several end points contributes to comparative sperm physiology which forms an important step in the development of species specific assisted reproductive techniques (ARTs) for ex situ conservation of these species.     

Computer-assisted sperm analysis of canine spermatozoa motility measurements

Computer-assisted sperm analysis (CASA) allows for the determination of specific motion characteristics of sperm cells in vitro. This study was designed to develop a system for the use of CASA to objectively evaluate canine sperm motility, and specifically to determine whether motility characteristics vary between individual dogs. Ejaculates from 10 dogs were collected weekly. Sperm cells were extended in a glucose-free TALP medium, placed on slides and videotaped at 200x. Videotaped samples were then analyzed by the Hamilton-Thorn Motility Analyzer, with 100 cells evaluated per slide. Two slides were made from each ejaculate. Motility characteristics that were evaluated included lateral head displacement, beat cross frequency, path velocity, path linearity, path straightness, percentage of motile cells, and percentage of progressively motile cells. Sperm cell morphology was also evaluated. Canine spermatozoa maintained good overall motility (mean +/- SD, 73 +/- 9%) during the procedure. Mean sperm motility and morphology measurements differed significantly between dogs (P<0.01). There was no difference (P>0.05) between the mean measurements of different ejaculates for an individual dog, or for different slides made from the same ejaculate. Mean motility values for the 10 dogs are reported. There was a significant but not strong correlation (r=0.44) between the percentage of progressively motile sperm cells and the percentage of sperm cells with normal morphology.     

Additional value of computer assisted semen analysis (CASA) compared to conventional motility assessments in pig artificial insemination

In order to obtain a more standardised semen motility evaluation, Varkens KI Nederland has introduced a computer assisted semen analysis (CASA) system in all their pig AI laboratories. The repeatability of CASA was enhanced by standardising for: 1) an optimal sample temperature (39 °C); 2) an optimal dilution factor; 3) optimal mixing of semen and dilution buffer by using mechanical mixing; 4) the slide chamber depth, and together with the previous points; 5) the optimal training of technicians working with the CASA system; and 6) the use of a standard operating procedure (SOP). Once laboratory technicians were trained in using this SOP, they achieved a coefficient of variation of < 5% which was superior to the variation found when the SOP was not strictly used. Microscopic semen motility assessments by eye were subjective and not comparable to the data obtained by standardised CASA. CASA results are preferable as accurate continuous motility dates are generated rather than discrimination motility percentage increments of 10% motility as with motility estimation by laboratory technicians. The higher variability of sperm motility found with CASA and the continuous motility values allow better analysis of the relationship between semen motility characteristics and fertilising capacity. The benefits of standardised CASA for AI is discussed both with respect to estimate the correct dilution factor of the ejaculate for the production of artificial insemination (AI) doses (critical for reducing the number of sperm per AI doses) and thus to get more reliable fertility data from these AI doses in return.     

Freezing of stallion epididymal sperm

Inseminations with frozen-thawed epididymal sperm have resulted in low-pregnancy rates of mares. If fertility of epididymal sperm could be improved, it would help to preserve genetic material from stallions that have suffered severe injuries, been castrated or have died. The aim of the present study was to investigate the effect of different extenders and pre-freezing addition of capacitation media on freezability of epididymal sperm and on storage at 5 degrees C for 24h. In experiment 1, epididymal sperm samples were diluted and subsequently frozen with three different extenders: Botu-Crio, EDTA-Lactose and INRA-82. Motility analysis using computer assisted sperm analyzer (CASA) demonstrated better motility for sperm in Botu-Crio than in the other extenders; EDTA-Lactose yielded better motility than INRA-82 on most evaluated parameters. There was no difference in membrane integrity among the studied extenders. From 18 inseminated mares, 12 (66%) were pregnant 15 days after AI with frozen-thawed epididymal sperm showing that Botu-Crio was able to maintain the fertility potential. In experiment 2, the effect of incubation of epididymal sperm before freezing in three capacitation media (Fert Talp, Sperm Talp, Talp+Progesterone), seminal plasma, or control was tested. Based on post-thaw motility evaluation by CASA, samples incubated in Sperm Talp showed better motility values. There were no differences in plasma or acrosomal membranes or in mitochondrial potential among groups. We concluded that Botu-Crio was better than the other extenders in the ability to preserve epididymal sperm and that pre-freeze addition of Sperm Talp was also beneficial.     

Validation and usefulness of the Sperm Quality Analyzer V equine for equine semen analysis

Routine semen analysis includes evaluation of concentration combined with seminal volume, morphology and motility. Subjective analysis of these parameters is known to be inaccurate, imprecise and subject to variability. Automated semen analysis could lead to an increased standardization in and between laboratories but for that to happen automated devices need to be validated. A new device, the sperm quality analyzer V equine (SQA-Ve) version 1.00.43, was evaluated for its repeatability and agreement with light microscopy (LM), for raw and extended equine semen. Results were compared with computer assisted sperm analysis (CASA), which was also tested for its repeatability and agreement with LM. The SQA-Ve showed a good repeatability and fine agreement for assessing sperm concentration of raw semen based on scatter and Bland-Altman plots. This was in contrast with the motility parameters, which had a low repeatability. Morphology assessment with SQA-Ve was poorly repeatable as well as in poor agreement with LM. For extended semen, the findings were comparable. The SQA-Ve did well for concentration, whereas for the motility parameters repeatability was only just acceptable, with no agreement with LM. This sharply contrasted the CASA findings that were highly repeatable and almost in perfect agreement with LM. Based on these findings, the tested version of the SQA-Ve is insufficiently accurate to be used for analyzing raw or extended equine semen.     

Motility and fertility of the subtropical freshwater fish streaked prochilod (Prochilodus lineatus) sperm cryopreserved in powdered coconut water

Streaked prochilod (Prochilodus lineatus) is a freshwater fish inhabiting many South American rivers. The objective was to determine the effectiveness of coconut water (ACP™), combined with methylglycol, as a freezing medium for streaked prochilod sperm. A secondary objective was to compare a computer-assisted sperm analyzer (CASA) system versus subjective microscropic examination as a means of assessing sperm motility. As a control, glucose and methylglycol was used, according to our previous study. Sperm diluted in each medium was loaded into 0.5 mL straws, frozen in liquid nitrogen vapor (in a dry shipper), and stored in liquid nitrogen (-196 °C). Half of the samples were evaluated for sperm motility, both subjectively and with CASA; the remainder were evaluated for fertility. There was no difference (P > 0.05) between subjective or CASA assessment of post-thaw sperm motility. Although sperm motility was higher in sperm cryopreserved in ACP™ (85%) than in glucose (75%), cryopreservation in either extender yielded similar fertilization rates (46-48%) and sperm velocities. There were positive correlations (r = 0.56-0.8) between all sperm velocities and fertilization rate. In conclusion, streaked prochilod sperm cryopreserved in glucose or ACP™ and methylglycol was fertile, and thus could be used for research or commercial settings. Furthermore, although the CASA system provided objective data regarding sperm motility, in the present study, subjective evaluation of sperm motility was practical and a good indication of sperm quality; it could readily be done by well-trained personnel under field or laboratory conditions.     

Ubiquitination and its influence in boar sperm physiology and cryopreservation

Recent reports document the potential use of the ubiquitin protein as an indicator of mammalian sperm quality or fertility, based on poor morphology, sperm count, and other cellular qualities. However, its influence on cellular physiologic mechanisms and boar sperm cryopreservation are unknown. The objective of this research was to determine the influence of boar sperm ubiquitination (n=12 boars) on motility (using CASA), and flow cytometry and fluorescent probes (in parentheses) to evaluate mitochondrial activity (JC-1), plasma and acrosomal membrane integrity (PI and FITC-PNA), membrane fluidity (M540), and chromatin stability (TUNEL) for fresh and frozen-thawed samples. The effects of ubiquitination (determined flow cytometrically) on the ability of frozen-thawed boar sperm to capacitate (FLUO-3AM) and acrosome react (FITC-PNA) were also investigated using flow cytometry. Cryopreservation induced a decrease in the percentage of sperm that were ubiquitinated from 29 to 20% (P<0.0001), but no significant effects of ubiquitin on sperm quality (motility, membrane integrities and organization) were detected. The ability of sperm to capacitate and acrosome react was influenced by ubiquitination. Samples with more ubiquitinated boar sperm were able to maintain plasma membrane integrity (PMI) better and have fewer live acrosome-reacted cells over 120min of induced capacitation (P<0.05). In conclusion, frozen-thawed ubiquitinated boar sperm were better able to survive the physical stresses of induced capacitation, yet were still capable of capacitating and acrosome reacting, which may enable use of this assay for in the vitro evaluation of the quality 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.     

Polymorphism of transferrin of carp seminal plasma: relationship to blood transferrin and sperm motility characteristics

Transferrin (Tf) is a major protein of carp (Cyprinus carpio) seminal plasma. Its relationship with milt quality is unknown. In this study, we sought to determine if Tf is polymorphic in carp seminal plasma and if this polymorphism is related to sperm motility characteristics. We screened males of purebred common carp line (Polish line R6) for Tf polymorphism in blood plasma. The majority of Tf genotypes represented only DD and DG variants. We then collected milt from preselected DD and DG genotypes and tested their sperm motility characteristics using computer-aided sperm analysis (CASA). Tf polymorphism in seminal plasma was found to be identical with that of blood. However, the relationships between Tf polymorphism and iron metabolic parameters were different for blood and semen. These data suggest different regulation of Tf in liver and testis. We found substantial differences in sperm motility characteristics between both genotypes. Spermatozoa of DG males were characterized by lower curvilinear velocity (VCL), amplitude of lateral head displacement (ALH), higher linearity (LIN) and straightness (STR) of movement as compared to DD males. No differences were found in other sperm characteristics such as sperm concentration and percentage of sperm motility. Our results suggest that sperm motility parameters are related to Tf polymorphism and therefore this polymorphism may be related to sperm competitive ability.     

Does cleansing of frozen-thawed bull semen before assessment provide samples that relate better to potential fertility?

The present study estimated, in vitro, the influence of two cleansing methods on sperm parameters post-thaw and their relation to the fertility of the frozen-thawed semen after AI. Frozen semen from six 1-year-old Swedish Red and White dairy bulls with a range in fertility (as 56d-Non-Return Rates, i.e., 56d-NRR) of 62.2-70.7% among batches was tested, using three batches of semen per bull. From each batch, individual straws were analyzed immediately after thawing (PT, control) or pooled and subjected to a swim-up procedure (SU) or washing by centrifugation/re-suspension (W) prior to in vitro assessments. Subjective and computerized measurements of sperm motility and of concentration, morphology, and membrane integrity were recorded. SU provided spermatozoa with significantly better motility, acrosome-, midpiece- and tail morphology and membrane integrity compared to either control or W treatment. Significant, albeit low, correlations among single sperm parameters and NRR were found (after PT for tail abnormalities (r = 0.49) and average path velocity, VAP (r = 0.47), after SU for total sperm motility with CASA (r = 0.50) and after W only for non-linear motility (r = -0.69)). SU of frozen-thawed bull semen is a simple preparation procedure that selects for sperm motility and membrane integrity, essential parameters for fertilization. It helps in vitro assessment of the semen and provides a significant, although low, relationship to the fertility of the assayed semen.     

Computer-assisted semen analysis and its utility for profiling boar semen samples

Achieving and maintaining a successful swine AI program depends on a number of factors, including accurate semen evaluation, typically sperm motility, morphology and concentration. Computer-Assisted Semen Analysis or CASA (i.e., image analysis with a phase-contrast microscope and computer measurements of motion parameters) objectively evaluates sperm motion characteristics, morphology and concentration. A total of 3077 semen collections were evaluated with CASA (on the day of collection), and a semen dose subset was used for single-sire AI of 6266 females over 6 months. Fertility data from these inseminations were fitted with models including farm/stud, line, boar, parity, mating week, semen age at mating and boar age at mating. The residuals from these models showed no correlation for any CASA semen unique motion parameter, which could be due to the level of sperm concentration, the number of inseminations per estrus, and the low number of females mated per boar. Future studies to expand CASA/fertility analysis need to address these constraints and may include analysis of extended boar semen after storage for 1 week.