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Title: | A new and cost-effective method for detection of the bovine acyl-CoA:diacylglycerol acyltransferase 1 K232A polymorphism in cattle. |
Authors: | STEINBERG, R. S.![]() ![]() PEREIRA, L. ![]() ![]() LACORTE, G. A. ![]() ![]() PEIXOTO, M. G. C. D. ![]() ![]() VERNEQUE, R. da S. ![]() ![]() TEODORO, R. L. ![]() ![]() MACHADO, M. A. ![]() ![]() FONSECA, C. G. ![]() ![]() CARVALHO, M. R. S. ![]() ![]() |
Affiliation: | UNIVERSIDADE FEDERAL DE MINAS GERAIS; UNIVERSIDADE FEDERAL DE MINAS GERAIS; UNIVERSIDADE FEDERAL DE MINAS GERAIS; MARIA GABRIELA CAMPOLINA D PEIXOTO, CNPGL; RUI DA SILVA VERNEQUE, CNPGL; ROBERTO LUIZ TEODORO, CNPGL; MARCO ANTONIO MACHADO, CNPGL; UNIVERSIDADE FEDERAL DE MINAS GERAIS; UNIVERSIDADE FEDERAL DE JUIZ DE FORA. |
Date Issued: | 2009 |
Citation: | Journal of Dairy Science, v. 92, p. 773-776, 2009. |
Description: | A new, quick, and inexpensive method for detecting the bovine acyl-CoA:diacylglycerol acyltransferasel (DGAT1) polymorphism (K232A) through tetra-primer amplification refractory mutation system by PCR (ARMS-PCR) was developed in the present investigation. The DGAT! gene was recently identified as underlying variation in milk production traits. To date, PCR techniques such as PCR-RFLP have been used for detecting the DGATI K232A polymorphism, despite being expensive and laborious. The method proposed here, a tetra-primer ARMS-PCR, showed 100% sensitivity and specificity when compared with PCR-RFLP results obtained in a sample of 80 animals tested in a double-blind system. Our results suggest that the use of tetra-primer ARMS-PCR for DGAT1 K232A polymorphism genotyping could greatly reduce costs providing information for both research purposes and for dairy cattle breeders who perform DGATI genotyping for gene-assisted selection. |
Keywords: | Gado de leite |
Notes: | Nota Técnica. |
Type of Material: | Artigo de periódico |
Access: | openAccess |
Appears in Collections: | Nota Técnica/Nota científica (CNPGL)![]() ![]() |
Files in This Item:
File | Description | Size | Format | |
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A-new-and-cost-effective-method-for-detection.pdf | 1.07 MB | Adobe PDF | ![]() View/Open |