Dog sperm swimming parameters analysed by computer‐assisted semen analysis of motility reveal major breed differences DOI
Anthony Valverde,

Sandra Arnau,

Almudena García‐Molina

et al.

Reproduction in Domestic Animals, Journal Year: 2019, Volume and Issue: 54(5), P. 795 - 803

Published: Feb. 26, 2019

Dogs have undergone an intensive artificial selection process ever since the beginning of their relationship with humans. As a consequence, wide variety well-defined breeds exist today. Due to enormous variation in dog phenotypes and unlikely chance gene exchange between them, question arises as whether they should still be regarded single species or, perhaps, considered different taxa that possess reproductive traits. The aim this study was therefore characterize some male traits, focusing on kinematic characteristics spermatozoa from several breeds. Thirty-seven dogs following were used: Staffordshire Bull Terrier, Labrador Retriever, Spanish Mastiff, Valencian Rat Hunting Dog, British Bulldog Chihuahua. Semen samples obtained via manual stimulation diluted final sperm concentration 50 million/ml, subsequently analysed by computer assisted semen analysis (CASA-Mot) ISAS® v1 system. Eight parameters evaluated automatically. All showed significant values among individuals within each breed. fastest cells those Terriers slowest recorded Chihuahuas. intra-male coefficient (CV) higher than inter-male CV for all Terrier showing lowest values. When taking into consideration animal breed, discriminant analyses high capability predict Cluster hierarchical classification very close after phylogenetic studies genome markers. In conclusion, future workers bear mind major differences realize results cannot extrapolated one another. Because are associated breed diversity, may represent good model examine changes processes.

Language: Английский

Sperm bauplan and function and underlying processes of sperm formation and selection DOI Creative Commons
María E. Teves, Eduardo R. S. Roldán

Physiological Reviews, Journal Year: 2021, Volume and Issue: 102(1), P. 7 - 60

Published: April 21, 2021

The spermatozoon is a highly differentiated and polarized cell, with two main structures: the head, containing haploid nucleus acrosomal exocytotic granule, flagellum, which generates energy propels cell; both structures are connected by neck. sperm’s aim to participate in fertilization, thus activating development. Despite this common bauplan function, there an enormous diversity structure performance of sperm cells. For example, mammalian spermatozoa may exhibit several head patterns overall lengths ranging from ∼30 350 µm. Mechanisms transport female tract, preparation for recognition interaction oocyte also show considerable variation. There has been much interest understanding origin diversity, evolutionary terms relation mechanisms underlying differentiation testis. Here, relationships between function examined at levels: first, analyzing selective forces that drive changes physiology understand adaptive values variation impact on male reproductive success second, examining cellular molecular formation testis explain how can give rise such wide array forms functions.

Language: Английский

Citations

57

Standardisation of Dog Sperm Morphology Classification DOI Creative Commons
Leonardo F.C. Brito,

Marco Coutinho da Silva,

Kara A. Kolster

et al.

Reproduction in Domestic Animals, Journal Year: 2025, Volume and Issue: 60(2)

Published: Feb. 1, 2025

ABSTRACT Sperm morphology is an important component of dog fertility analysis. Visual examination the gold standard technique for evaluation, but large variations within and across evaluators have been documented. Databases sperm images are valuable practical aids training performance testing can improve classification standardisation; however, such databases only useful when material expertly classified to serve as a reference. The objective this study was build annotated database generate illustrated guide with examples different presentations promote standardisation in classification. Semen samples ( n = 42) were obtained either from dogs presented evaluation or semen doses used artificial insemination. For image acquisition, wet preparations prepared evaluated using phase‐contrast optics under 1000× magnification. Selected cropped so that one included each file, 8817 created. by three veterinarians, specialists animal reproduction (Diplomates American College Theriogenologists) according criteria. Agreement among criterion create reconciled Complete agreement on defect category morphological observed 70.2% images, at least two veterinarians agreed another 27.4% images; therefore, based consensus 97.5% images. percentage morphologically normal 57%, primary involving head, midpiece, tail 18%, 20%, 5% cases, respectively. Among defective sperm, 39% had single 4% multiple defects. When total prevalence specific defects computed, contained 18% head abnormalities, 22% midpiece 7% abnormalities. Comprehensive illustrations variation abnormal built expert provided

Language: Английский

Citations

1

Current perspectives of CASA applications in diverse mammalian spermatozoa DOI
Gerhard van der Horst, Liana Maree, Stefan S. du Plessis

et al.

Reproduction Fertility and Development, Journal Year: 2018, Volume and Issue: 30(6), P. 875 - 875

Published: Jan. 1, 2018

Since the advent of computer-aided sperm analysis (CASA) some four decades ago, advances in computer technology and software algorithms have helped establish it as a research diagnostic instrument for spermatozoa. Despite mammalian spermatozoa being most diverse cell type known, CASA is great tool that has capacity to provide rapid, reliable objective quantitative assessment quality. This paper provides contemporary findings illustrating scientific commercial applications its ability evaluate (human, primates, rodents, domestic mammals, wildlife species) at both structural functional levels. The potential quantitatively measure essential aspects related subpopulations, hyperactivation, morphology morphometry also demonstrated. Furthermore, are provided improved quality assessment, evaluation functionality effect different chemical substances or pathologies on fertilising ability. It clear evolved significantly currently superior many manual techniques clinical setting.

Language: Английский

Citations

56

Effect of counting chamber depth on the accuracy of lensless microscopy for the assessment of boar sperm motility DOI Creative Commons
Carles Soler, José Ángel Picazo-Bueno, Vicente Micó

et al.

Reproduction Fertility and Development, Journal Year: 2018, Volume and Issue: 30(6), P. 924 - 924

Published: Jan. 1, 2018

Sperm motility is one of the most significant parameters in prediction male fertility. Until now, both analysis using an optical microscope and computer-aided sperm (CASA-Mot) entailed use counting chambers with a depth to 20 µm. Chamber significantly affects intrinsic movement, leading artificial pattern. For first time, laser microscopy offers possibility avoiding this interference movement. The aims present study were determine different patterns observed depths 10, 100 µm new holographic approach compare results obtained 20-µm chamber those CASA-Mot systems. ISAS®3D-Track showed that values for curvilinear velocity (VCL), straight line velocity, wobble beat cross frequency higher 100-µm than 10- chambers. Only VCL positive correlation between In addition, Bayesian confirmed kinematic 10 When analyser system was used, all parameters, except VCL, ISAS®3D-Track, but not relevant after analysis. Finally, almost three three-dimensional recognised. conclusion, allows natural pattern

Language: Английский

Citations

39

Boar Sperm Motility Assessment Using Computer-Assisted Sperm Analysis: Current Practices, Limitations, and Methodological Challenges DOI Creative Commons

Lenka Hackerová,

Aneta Pilsova,

Zuzana Pilsova

et al.

Animals, Journal Year: 2025, Volume and Issue: 15(3), P. 305 - 305

Published: Jan. 22, 2025

Spermatozoa are highly specialized male cells that characterized by a unique ability to move, which is critical factor for successful fertilization. The relative simplicity of motility assessment, especially in livestock, has made it widely used parameter evaluating ejaculate quality or cryopreserved semen the clinical field, and an advanced tool reproductive physiology toxicology research. Technological advances image analysis computational methods have substantially increased its accuracy through use computer-assisted sperm (CASA) minimize subjective bias assessments. Nevertheless, this more objective method still presents some significant challenges, including variability sample preparation, imaging conditions, analytical parameters. These issues contribute inconsistency impair reproducibility comparability data between laboratories. implementation standardized protocols, combined with comprehensive training rigorous evaluation, can serve mitigate emerging inconsistencies. In addition, vitro conditions under CASA analyses performed often differ significantly from natural environment female tract vivo. This review discusses methodologies, issues, limitations using CASA, particular focus on boar as important agricultural biomedical model species system used.

Language: Английский

Citations

0

An update on boar semen assessments by flow cytometry and CASA DOI
G. Boe-Hansen, Nana Satake

Theriogenology, Journal Year: 2019, Volume and Issue: 137, P. 93 - 103

Published: June 4, 2019

Language: Английский

Citations

33

Predictive Capacity of Boar Sperm Morphometry and Morphometric Sub-Populations on Reproductive Success after Artificial Insemination DOI Creative Commons
Vinicio Barquero, Eduardo R. S. Roldán, Carles Soler

et al.

Animals, Journal Year: 2021, Volume and Issue: 11(4), P. 920 - 920

Published: March 24, 2021

The aim of the study was to compare morphometric features sperm head size and shape from Pietrain line Duroc × boar crossbred terminal lines, evaluate their relationship with reproductive success after artificial insemination sows produced crossbreeding York, Landrace breeds. Semen samples were collected 11 sexually mature boars. Only ejaculates greater than 70% motility rate <15% abnormal used for inseminations (AI) included in study. Samples analyzed using an ISAS®v1 computer-assisted analysis system eight parameters (CASA-Morph). Sub-populations characterized multivariate procedures, such as principal component (PC) clustering methods (k-means model). Four different ejaculate sub-populations identified two PCs that involved spermatozoa. discriminant ability variables predict sow litter a receiver operating characteristics (ROC) curve analysis. Sperm length, ellipticity, elongation, regularity showed significant predictive capacity on (0.59, 0.59, 0.60, 0.56 area under (AUC), respectively). not related size.

Language: Английский

Citations

24

Are There Differences between Methods Used for the Objective Estimation of Boar Sperm Concentration and Motility? DOI Creative Commons
Francisco Sevilla, Carles Soler, Ignacio Araya‐Zúñiga

et al.

Animals, Journal Year: 2023, Volume and Issue: 13(10), P. 1622 - 1622

Published: May 12, 2023

Artificial insemination in the swine industry, as other species, demands adequate semen handling and accurate evaluation for preparation of seminal doses. Sperm concentration motility estimates are part process considered important maximizing yield doses insemination. In this study, methods were examined their accuracy estimation boar sperm motility. Assessments carried out using iSperm®, ISAS® v1, Open CASA v2, Accuread® photometer. Analyses performed with v2 systems. samples collected from 10 healthy males two genetic lines. There no relevant differences between sire lines when was assessed. A Bayesian analysis applied to four used assess examine whether there them. Results suggested methods, a probability relevance (PR) 0.86-1.00. The iSperm® method revealed higher values within highest posterior density region at 95% confidence interval (HPD95%) = 167.0, 224.2 M/mL, whereas showed lowest values, HPD95% 99.3, 155.9 M/mL. demonstrated reliability measuring compared or devices given range confidence. ANOVAs three estimation. Overall, found various but further studies needed better characterization these differences.

Language: Английский

Citations

8

Standardization of sperm motility analysis by using CASA-Mot for Atlantic salmon (Salmo salar), European eel (Anguilla anguilla) and Siberian sturgeon (Acipenser baerii) DOI

Carina Caldeira,

Sandra Hernández-Ibáñez, Anthony Valverde

et al.

Aquaculture, Journal Year: 2018, Volume and Issue: 502, P. 223 - 231

Published: Dec. 3, 2018

Language: Английский

Citations

27

Toward an integrative and predictive sperm quality analysis in Bos taurus DOI
J.L. Yániz, Carles Soler, Carlos Alquézar-Baeta

et al.

Animal Reproduction Science, Journal Year: 2017, Volume and Issue: 181, P. 108 - 114

Published: March 31, 2017

Language: Английский

Citations

26