Genetic structure of Antioquia Holstein from two SNPs and association with dairy traits

Contenido principal del artículo


Stephania Madrid G Albeiro López H Julián Echeverri Z



Objective. Analyze the structure and genetic differentiation of a population of Antioquia Holstein cows from the polymorphisms A192G of INHA and A-320T of FSHR, and explore the association of the genotypic combinations with milk traits. Materials and methods. 1240 lactations of 356 animals from 9 herds in 6 municipalities of Antioquia were analyzed. Genotyping was performed by PCR-RFLP. Structure and genetic diversity parameters were determined using GenAlex software. The association of genotypes combinations with productive and reproductive traits was explored through a linear mixed model. Results. SNP A192G showed a frequency of 0.534 and 0.466 for A and G alleles respectively and SNP A-320T had a frequency of 0.660 far A allele and 0.339 for T allele, this way the population is in HWE. The FST, FIS and FIT values were 0.059, 0.285 and 0.328 respectively indicating a moderate genetic differentiation between subpopulations. The A-320T SNP showed significant effect on milk yield. Fat and protein percentage, calving interval and services per conception were not affected by these polymorphisms or their interaction. Conclusions. Phenotypic selection made on this population has not been strong enough to generate noticeable changes in allele frequencies of these polymorphisms or deviations from Hardy-Weinberg equilibrium. The interaction of these polymorphisms has no significant effect on the characteristics of zootechnical interest, so its use in programs of molecular marker assisted selection is not recommended.

Palabras clave:

Detalles del artículo


1. Boichard D, Maignel L, Verrier E. The value of using probabilities of gene origin to measure genetic variability in a population. Genet Sel Evol 1997; 29:5–23.

2. Muasya T, Peters K, Kahi A. Breeding structure and genetic variability of the Hosltein Friesian dairy cattle population in Kenia. Anim Genet Resour 2013; 52:127–132.

3. Deb R, Chakraborty S, Singh U. Molecular Markers and Their Application in Livestock Genomic Research. J Vet Sci Technol 2012; 3(2):7579.

4. Rincón JC, López A. Echeverri JJ. Estructura y diversidad genética en vacas Holstein de Antioquia usando un polimorFISmo del gen bGH. Rev. MVZ Córdoba 2013; 18(1):3346–3354.

5. Tang KQ, Li SJ, Yang WC, Yu JN, Han L, Li X et al. An MspI polymorphism in the inhibin alpha gene and its associations with superovulation traits in Chinese Holstein cows. Mol Biol Rep 2011; 38(1):17–21.

6. National Center for Biotechnology information. Reference SNP (refSNP) Cluster Report rs41257116. 2013. Disponible en:

7. Sang L, Du QZ, Yang WC, Tang KQ, Yu JN, Hua G et al. Polymorphisms in follicle stimulation hormone receptor, inhibin alpha, inhibin beta A, and prolactin genes, and their association with sperm quality in Chinese Holstein bulls. Anim Reprod Sci 2011; 126(3-4):151–156.

8. National Center for Biotechnology information. Reference SNP (refSNP) Cluster Report rs43676359. 2013. Disponible en:

9. Yang WC, Li SJ, Tang KQ, Hua GH, Zhang CY, Yu JN et al. Polymorphisms in the 5' upstream region of the FSH receptor gene, and their association with superovulation traits in Chinese Holstein cows. Anim Reprod Sci 2010; 119(3-4):172–177.

10. Miller S, Dykes D, Polesky H. A simple salting out procedure for extracting DNA from human nucleated cells. Nucleic Acids Res 1988; 16(3):1215.

11. Nielsen R, Slatkin M. An Introduction to Population Genetics. Theory and Applications. Sunderland, Massachussets. USA: Sinauer Associates, Inc. Publishiers, 2013, p. 287.

12. Peakall R, Smouse PE. GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research--an update. Bioinformatics 2012; 28(19):2537–2539.

13. Pi-ero D, Barahona A, Eguiarte L, Rocha A, Salas R. La variabilidad genética de las especies: aspectos conceptuales y sus aplicaciones y perspectivas en México. En: Díaz P, Morales E, Zizumbo-Villarreal D, editores. Capital Natural de México. México; 2008; p. 415–435.

14. Hall B. Building phylogenetic trees from molecular data with MEGA. Mol Biol Evol 2013; 30(5):1229-1235

15. Rodríguez-Zas SL, Gianola D, Shook GE. Evaluation of models for somatic cell score lactation patterns in Holsteins. Livest Prod Sci 2000; 67(1-2):19–30.

16. SAS Institute Inc., Cary, NC, USA, 2009.

17. Rodríguez N, López A, Echeverri JJ. Diversidad Genética de un PolimorFISmo del Gen de Lactoferrina Bovino (LTF) en una Población de Vacas Holstein de Colombia y su Asociación con Componentes de la Leche (Resultados Preliminares). Actas Iberoam Conserv Anim 2011; 1(1):151–153.

18. Hartl DL, Clark AG. Principles of population genetics. 4th ed. Sunderland, Massachusetts: Sinauer Associates, Inc. Publishiers, 2007.

19. Rodríguez N, López A, Echeverri JJ. Estructura genética poblacional del gen lactoferrina bovino en vacas Holstein del departamento de Antioquia. Rev MVZ Córdoba 2013; 18(1):3355–3361.

20. Echeverri JJ, Salazar V, Parra JE. Análisis comparativo de los grupos genéticos Holstein, Jersey y algunos de sus cruces en un hato lechero del Norte de Antioquia en Colombia. Zootec Trop 2011; 29(1):49–59.

21. Corrales J, Cerón-Mu-oz M, Ca-as J, Herrera C, Calvo S. Parámetros genéticos de características de tipo y producción en ganado Holstein del departamento de Antioquia. Rev MVZ Córdoba 2011; 17(1):2870–2877.

22. Madrid S, Echeverri JJ. Association Between Conformation Traits and Reproductive Traits in Holstein Cows in the Department of Antioquia – Colombia. Rev Fac Nac Agron Medellín 2014; 67(2):7311–7319.


La descarga de datos todavía no está disponible.