Ir al menú de navegación principal Ir al contenido principal Ir al pie de página del sitio

Relationship between gene polymorphism and milk production traits in Teleorman Black Head sheep breed

Relationship between gene polymorphism and milk production traits in Teleorman Black Head sheep breed



Abrir | Descargar

Cómo citar
MA, G., GC, P., RS, P., C, L., H, G., & E, G. (2016). Relationship between gene polymorphism and milk production traits in Teleorman Black Head sheep breed. Revista MVZ Córdoba, 21(1), 5124-5136. https://doi.org/10.21897/rmvz.23

Dimensions
PlumX
Gras MA
Pistol GC
Pelmus RS
Lazar C
Grosu H
Ghita E

ABSTRACT

Objective. This study is a preliminary step of a larger national program aimed to develop a strategy for “in situ” preservation of Teleorman Black Head sheep population. In this paper we estimated the effect of β-lactoglobulin, casein and prolactin on some quantitative and qualitative milk traits in this local sheep population. Material and methods. Genotyping methodology included PCR for CSN3 (A and B alleles) and PCR-RFLP for LGB (A and B alleles) and PRL (T and C alleles), respectively. Repeated milking and milk composition analysis were used for the polymorphism effect estimation. Results. No association between CSN3 polymorphism and milk traits was found. Effect of LGB on production traits was quite constant. Genotype AA performed better than BB. PRL marker effect showed small differences than LGB. Concerning milk, fat and protein yield, AA genotype for PRL had a smaller positive impact than AA genotype for LGB. Regarding fat and protein content, PRL showed a negative effect for AA and positive for BB genotype, respectively. Conclusions. Positive association between LGB and milk yield and composition recommend this candidate gene like marker for a future MAS program. Although PRL gene is also associated with an increased milk quantity, inverse response over milk composition must be considered in MAS strategy. Our study demonstrated that both LGB and PRL markers could became an advent of MAS utilization in Romanian dairy sheep breeding industry.

 

RESUMEN

Objetivo. Este estudio es un paso preliminar de un programa nacional más amplio destinado a desarrollar una estrategia para la conservación “in situ”de la población de ovejas Cabeza Negra de Teleorman. En este trabajo se estimó el efecto de la β-lactoglobulina, caseína y prolactina en algunos rasgos cuantitativos y cualitativos de la leche en esta población de ovejas locales. Material y métodos. Metodología de PCR para genotipificación incluido CSN3 (A y B alelos) y PCR-RFLP para LGB (A y B alelos) y PRL (T y C alelos). Análisis y composición de la leche de ordeños repetidos se utilizaron para estimación el efecto del polimorfismo. Resultados. No se encontró asociación entre el polimorfismo y la leche rasgos CSN3. Efecto de LGB en los rasgos de producción era bastante constante. Genotipo AA obtenido mejores resultados que BB. Efecto marcador PRL mostró pequeñas diferencias que LGB. En cuanto a la leche grasa y proteína el genotipo AA para PRL tuvo un impacto positivo más pequeño que el genotipo AA para LGB. En cuanto a contenido de grasa y proteína, PRL mostró un efecto negativo para AA y positivo para BB genotipo. Conclusiones.La asociación positiva entre LGB y la producción de leche y la composición recomienda este gen candidato como marcador para un futuro programa de MAS. Aunque gen PRL también se asocia con un incrementoen la cantidad de leche, la respuesta inversa sobre composición de la leche debe ser considerado en la estrategia de MAS. Nuestro estudio demostró que los marcadores tanto LGB y PRL podrían venir a ser utilizados en MAS en la industria rumanade cría deovejas lecheras.



Visitas del artículo 1094 | Visitas PDF


Descargas

Los datos de descarga todavía no están disponibles.
  1. Carta A, Casu S, Salaris S. Invited review: Current state of genetic improvement in dairy sheep. J Dairy Sci 2009; 92(12):5814-5833. http://dx.doi.org/10.3168/jds.2009-2479
  2. Pelmus RS, Pistol GC, Lazar C, Gras MA, Ghita E. Estimation of genetic parameters for milk traits in Romanian local sheep breed. Rev MVZ Córdoba 2014, 19(1):4033-4040.
  3. Marshal K, Quiros-Campos C, van der Werf JHJ, Kinghorn B. Marker-based selection within smallholder production systems in developing countries. Livest Sci 2011; 136(1):45-54. http://dx.doi.org/10.1016/j.livsci.2010.09.006
  4. Mateescu RG, Thonney M. Genetic mapping of quantitative trait loci for milk production in sheep. Anim Genet 2010; 41(5):460-6. http://dx.doi.org/10.1111/j.1365-2052.2010.02045.x
  5. Giambra IJ, Erhardt G. Molecular genetic characterization of ovine CSN1S2 variants C and D reveal further important variability within CSN1S2. Animal Genet 2012; 43(5):642-5. http://dx.doi.org/10.1111/j.1365-2052.2011.02299.x
  6. Elyasi G, Shodja J, Nassiry MR, Tahmasebi A, Pirahary O, Javanmard A. Polymorphism of β-lactoglobulin gene in Iranian sheep breeds using PCR-RFLP. J Mol Genet 2010; 2(1):6-9. http://dx.doi.org/10.3923/jmolgene.2010.6.9
  7. Arora R, Bhatia S, Mishra BP, Sharma R, Pandey AK, Prakash B et al. Genetic polymorphism of the beta - lactoglobulin gene in native sheep from India. Biochem Genet 2010; 48(3-4):304-11. http://dx.doi.org/10.1007/s10528-009-9323-6
  8. Staiger EA, Thonney ML, Buchanan JW, Rogers ER, Oltenacu PA, Mateescu RG. Effect of prolactin, β-lactoglobulin, and k-casein genotype on milk yield in East Friesian sheep. J Dairy Sci 2010; 93(4):1736–1742. http://dx.doi.org/10.3168/jds.2009-2630
  9. Orford M, Tzamaloukas O, Papachristoforou C, Miltiadou D. A simplified PCR-based assay for the characterization of two prolactin variants that affect milk traits in sheep breeds. J Dairy Sci 2010; 93(12):5996-9. http://dx.doi.org/10.3168/jds.2010-3569
  10. Gutierrez-Gil B, El-Zarei MF, Alvarez L, Bayon Y, de la Fuente LF, San Primitivo F et al. Quantitative trait loci underlying milk production traits in sheep. Anim Genet 2009; 40(4):423-34. http://dx.doi.org/10.1111/j.1365-2052.2009.01856.x
  11. Gao H, Christensen OF, Madsen P, Nielsen US, Zhang Y, Lund MS, Su G. Comparison on genomic predictions using three GBLUP methods and two single-step blending methods in the Nordic Holstein population. Genet Sel Evol 2012; 44(1):8. http://dx.doi.org/10.1186/1297-9686-44-8
  12. Strandén I, Christensen OF. Allele coding in genomic evaluation. Genet Sel Evol 2011; 43:25. http://dx.doi.org/10.1186/1297-9686-43-25
  13. Ramos AM, Matos CAP, Russo-Almeida PA, Bettencourt CMV, Matos J, Martins A, et al. Candidate genes for milk production traits in Portuguese dairy sheep. Small Rumin Res 2009; 82(2-3):117–121. http://dx.doi.org/10.1016/j.smallrumres.2009.02.007
  14. Wessels G, Hamann H, Erhardt G, Distl O. Genotype effects of milk protein polymorphisms on milk production in East Friesian dairy sheep. Berl Munch Tierarztl Wochenschr 2004; 117(9-10):414–9.
  15. Caravaca F, Carrizosa J, Urrutia B, Baena F, Jordana J, Amills M et al. Short communication: Effect of alphaS1-casein (CSN1S1) and kappa-casein (CSN3) genotypes on milk composition in Murciano-Granadina goats. J Dairy Sci2009; 9(6):2960–4. http://dx.doi.org/10.3168/jds.2008-1510

Sistema OJS 3.4.0.3 - Metabiblioteca |