Computer-assisted sperm morphometry fluorescence-based analysis has potential to determine progeny sex

Santolaria, P. (Universidad de Zaragoza) ; Pauciullo, A. ; Silvestre, M. ; Vicente-Fiel, S. ; Villanova, L. ; Pinton, A. ; Viruel, J. ; Sales, E. (Universidad de Zaragoza) ; Yániz, J. (Universidad de Zaragoza)

Resumen: This study was designed to determine the ability of computer-assisted sperm morphometry analysis (CASA-Morph) with fluorescence to discriminate between spermatozoa carrying different sex chromosomes from the nuclear morphometrics generated and different statistical procedures in the bovine species. The study was divided into two experiments. The first was to study the morphometric differences between X- and Y-chromosome-bearing spermatozoa (SX and SY, respectively). Spermatozoa from eight bulls were processed to assess simultaneously the sex chromosome by FISH and sperm morphometry by fluorescence-based CASA-Morph. SX cells were larger than SY cells on average (P < 0.001) although with important differences between bulls. A simultaneous evaluation of all the measured features by discriminant analysis revealed that nuclear area and average fluorescence intensity were the variables selected by stepwise discriminant function analysis as the best discriminators between SX and SY. In the second experiment, the sperm nuclear morphometric results from CASA-Morph in nonsexed (mixed SX and SY) and sexed (SX) semen samples from four bulls were compared. FISH allowed a successful classification of spermatozoa according to their sex chromosome content. X-sexed spermatozoa displayed a larger size and fluorescence intensity than nonsexed spermatozoa (P < 0.05). We conclude that the CASA-Morph fluorescence-based method has the potential to find differences between X- and Y-chromosome-bearing spermatozoa in bovine species although more studies are needed to increase the precision of sex determination by this technique.

Idioma: Inglés

DOI: 10.4103/1008-682X.187578

Año: 2016

Publicado en: Asian journal of andrology 18, 6 (2016), 858-862
ISSN: 1008-682X

Factor impacto JCR: 2.996 (2016)

Categ. JCR: ANDROLOGY rank: 1 / 5 = 0.2 (2016) - Q1 - T1
Categ. JCR: UROLOGY & NEPHROLOGY rank: 22 / 76 = 0.289 (2016) - Q2 - T1

Factor impacto SCIMAGO: 0.793 - Urology (Q2) - Medicine (miscellaneous) (Q2)

Financiación: info:eu-repo/grantAgreement/ES/DGA/A40
Financiación: info:eu-repo/grantAgreement/ES/MINECO/AGL2014-52775-P

Tipo y forma: Artículo (Versión definitiva)

Área (Departamento): Área Producción Animal (Dpto. Produc.Animal Cienc.Ali.)
Área (Departamento): Área Producción Vegetal (Dpto. CC.Agrar.y Medio Natural)