Spermiogram, Kinetics, Flow Cytometric Characteristics and DNA Damage Degree in Boar Ejaculates: Summarization and Clustering

  1. Ausejo-Marcos, Raquel 4
  2. Tejedor, María Teresa 6
  3. Miguel-Jiménez, Sara 5
  4. Gómez-Giménez, Belén 12
  5. Soriano-Úbeda, Cristina 27
  6. Mendoza, Noelia 4
  7. Vicente-Carrillo, Alejandro 5
  8. Hurtado, William Fernando 3
  9. Ávila Holguín, Celia 3
  10. Moreno, Bernardino 3
  11. Falceto, María Victoria 3
  1. 1 Department of Molecular Biology (Cell Biology), University of León, 24071 León, Spain
  2. 2 INDEGSAL, University of León, 24071 León, Spain
  3. 3 Department of Animal Pathology, Obstetrics and Reproduction, Faculty of Veterinary Medicine, University of Zaragoza, 50013 Zaragoza, Spain
  4. 4 Department of Biotechnology R&D, Magapor S.L., 50600 Ejea de los Caballeros, Spain
  5. 5 Department of Research and Development, CiencIAnova Magapor, 50018 Zaragoza, Spain
  6. 6 Department of Anatomy, Embryology and Genetics, Centro de Investigación Biomédica en Red: Enfermedades Cardiovasculares, Faculty of Veterinary Medicine, University of Zaragoza, 50013 Zaragoza, Spain
  7. 7 Department of Veterinary Medicine, Surgery, and Anatomy (Animal Medicine and Surgery), University of León, 24071 León, Spain
Mostrar afiliaciones +
Revista:
Veterinary Sciences

ISSN: 2306-7381

Año de publicación: 2024

Volumen: 11

Número: 9

Páginas: 420

Tipo: Artículo

DOI: 10.3390/VETSCI11090420 GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Veterinary Sciences

Referencias bibliográficas

  • Maree, (2018), Reprod. Fertil. Dev., 30, pp. 875, 10.1071/RD17468
  • Gil, (2009), Theriogenology, 71, pp. 254, 10.1016/j.theriogenology.2008.07.007
  • Boyers, S.P., Davis, R.O., and Katz, D.F. (1989). Automated Semen Analysis, Year Book Medical Publishers. Current problems in obstetrics, gynecology and fertility.
  • Bompart, (2018), Reprod. Fertil. Dev., 30, pp. 810, 10.1071/RD17551
  • Amann, (2004), J. Androl., 25, pp. 317, 10.1002/j.1939-4640.2004.tb02793.x
  • Rigau, (2007), Reprod. Domest. Anim., 42, pp. 312, 10.1111/j.1439-0531.2006.00785.x
  • Alvarez Rodriguez, M., Najafi, A., Soler, C., Miró, J., Gacem, S., Valverde, A., Catalán, J., and Yánez Ortiz, I. (2021). A New Approach of Sperm Motility Subpopulation Structure in Donkey and Horse. Front. Vet. Sci., 1.
  • Víquez, L., Barquero, V., Soler, C., Roldan, E.R.S., and Valverde, A. (2020). Kinematic Sub-Populations in Bull Spermatozoa: A Comparison of Classical and Bayesian Approaches. Biology, 9.
  • Barquero, V., Roldan, E.R.S., Soler, C., Yániz, J.L., Camacho, M., and Valverde, A. (2021). Predictive Capacity of Boar Sperm Morphometry and Morphometric Sub-Populations on Reproductive Success after Artificial Insemination. Animals, 11.
  • Žaja, I.Ž., Vince, S., Butković, I., Senaši, K., Milas, N.P., Malarić, K., Lojkić, M., Folnožić, I., Tur, S.M., and Kreszinger, M. (2024). The Distribution of Boars Spermatozoa in Morphometrically Distinct Subpopulations after In Vitro Exposure to Radiofrequency Electromagnetic Radiation at 2500 MHz and Their Motility. Animals, 14.
  • Ibanescu, (2020), Anim. Reprod. Sci., 215, pp. 106329, 10.1016/j.anireprosci.2020.106329
  • Satake, (2019), Theriogenology, 137, pp. 93, 10.1016/j.theriogenology.2019.05.043
  • Sutovsky, (2015), Reprod. Domest. Anim., 50, pp. 11, 10.1111/rda.12554
  • Bonet, S., Casas, I., Holt, W.V., and Yeste, M. (2013). Boar Reproduction: Fundamentals and New Biotechnological Trends, Springer.
  • Schulze, (2014), Anim. Reprod. Sci., 148, pp. 164, 10.1016/j.anireprosci.2014.06.008
  • Rota, (2000), Theriogenology, 53, pp. 1415, 10.1016/S0093-691X(00)00284-3
  • Lorenzo, (2001), Theriogenology, 56, pp. 387, 10.1016/S0093-691X(01)00571-4
  • Anel, (2010), Reprod. Domest. Anim., 45, pp. 67, 10.1111/j.1439-0531.2010.01622.x
  • Mendoza, N., Casao, A., Perez-Pe, R., Cebrian-Perez, J.A., and Muino-Blanco, T. (2013). New Insights into the Mechanisms of Ram Sperm Protection by Seminal Plasma Proteins. Biol. Reprod., 88.
  • Nerin, (2018), Food Chem. Toxicol., 113, pp. 115, 10.1016/j.fct.2018.01.044
  • Evenson, (2022), Curr. Protoc., 2, pp. e508, 10.1002/cpz1.508
  • Evenson, (1994), Theriogenology, 41, pp. 637, 10.1016/0093-691X(94)90174-H
  • Evenson, (2000), Methods Cell Sci., 22, pp. 169, 10.1023/A:1009844109023
  • Didion, (2009), J. Androl., 30, pp. 655, 10.2164/jandrol.108.006254
  • Helms, D.R., Helms, C.W., Kosinski, R.J., and Cummings, J.C. (1997). Biology in the Laboratory: With BioBytes 3.1 CD-ROM, W. H. Freeman.
  • Kaiser, (1974), Psychometrika, 39, pp. 31, 10.1007/BF02291575
  • Kaiser, (1960), Educ. Psychol. Meas., 20, pp. 141, 10.1177/001316446002000116
  • Cattell, (1966), Multivar. Behav. Res., 1, pp. 245, 10.1207/s15327906mbr0102_10
  • Ketchen, (1996), Strateg. Manag. J., 17, pp. 996, 10.1002/(SICI)1097-0266(199606)17:6<441::AID-SMJ819>3.0.CO;2-G
  • Flowers, (1997), J. Reprod. Fertil. Suppl., 52, pp. 67
  • Bragado, (2020), Anim. Reprod. Sci., 219, pp. 106513, 10.1016/j.anireprosci.2020.106513
  • Valverde, (2019), Reprod. Domest. Anim., 54, pp. 167, 10.1111/rda.13320
  • Saravia, (2005), J. Androl., 26, pp. 716, 10.2164/jandrol.05030
  • Barquero, V., Roldan, E.R.S., Soler, C., Vargas-Leitón, B., Sevilla, F., Camacho, M., and Valverde, A. (2021). Relationship between Fertility Traits and Kinematics in Clusters of Boar Ejaculates. Biology, 10.
  • Hair, J.F., Babin, B.J., Black, W.C., and Anderson, R.E. (2019). Multivariate Data Analysis, Cengage.
  • Gupta, (2011), Int. J. Adv. Technol. Eng. Res. (IJATER), 1, pp. 39
  • Roca, (2015), Reprod. Domest. Anim., 50, pp. 48, 10.1111/rda.12530
  • Verdon, (2015), J. Anim. Sci., 93, pp. 1999, 10.2527/jas.2014-8742
  • Bortolozzo, F.P., Zanin, G.P., Ulguim, R.d.R., and Mellagi, A.P.G. (2023). Managing Reproduction in Hyperprolific Sow Herds. Animals, 13.
  • Bazer, F.W., Lamb, G.C., and Wu, G. (2020). Chapter 15—Reproductive Physiology of Swine. Animal Agriculture, Academic Press.
  • Koketsu, (2020), Porc. Health Manag., 6, pp. 24, 10.1186/s40813-020-00163-1
  • Gadea, (2005), Theriogenology, 63, pp. 431, 10.1016/j.theriogenology.2004.09.023
  • Tsakmakidis, (2010), J. Vet. Sci., 11, pp. 151, 10.4142/jvs.2010.11.2.151
  • Michos, I., Tsantarliotou, M., Boscos, C.M., Tsousis, G., Basioura, A., Tzika, E.D., Tassis, P.D., Lymberopoulos, A.G., and Tsakmakidis, I.A. (2021). Effect of Boar Sperm Proteins and Quality Changes on Field Fertility. Animals, 11.
  • McPherson, (2014), Anim. Reprod. Sci., 151, pp. 28, 10.1016/j.anireprosci.2014.09.021
  • Schulze, (2019), Theriogenology, 137, pp. 88, 10.1016/j.theriogenology.2019.05.042
  • Riesenbeck, (2015), Reprod. Domest. Anim., 50, pp. 1, 10.1111/rda.12573
  • Zhang, J., Liu, H., Yang, Q., Li, P., Wen, Y., Han, X., Li, B., Jiang, H., and Li, X. (2020). Genomic Sequencing Reveals the Diversity of Seminal Bacteria and Relationships to Reproductive Potential in Boar Sperm. Front. Microbiol., 11.
  • Pértille, F., Alvarez-Rodriguez, M., da Silva, A.N., Barranco, I., Roca, J., Guerrero-Bosagna, C., and Rodriguez-Martinez, H. (2021). Sperm Methylome Profiling Can Discern Fertility Levels in the Porcine Biomedical Model. Int. J. Mol. Sci., 22.
  • Sontag, (2019), Andrologia, 51, pp. e13222, 10.1111/and.13222
  • Park, Y.J., and Pang, M.G. (2021). Mitochondrial Functionality in Male Fertility: From Spermatogenesis to Fertilization. Antioxidants, 10.
  • Tanga, B.M., Qamar, A.Y., Raza, S., Bang, S., Fang, X., Yoon, K., and Cho, J. (2021). Semen Evaluation: Methodological Advancements in Sperm Quality-Specific Fertility Assessment—A Review. Anim. Biosci., 34.