Association of TLR4 polymorphisms with subclinical mastitis in Brazilian holsteins

The identification of dairy cows with greater or lower potential to develop mastits has been pursued for many years among different segments of the milk industry, including governmental organizations. Genomic studies have suggested that Single Nucleotide Polymorphisms (SNPs) within the pattern recog...

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Bibliographic Details
Main Authors: Adriano Queiroz de Mesquita, Cintia Silva Minafra e Rezende, Albenones José de Mesquita, Eurione Antonio Garcia da Veiga Jardim, Ana Paula Junqueira Kipnis
Format: Article
Language:English
Published: Sociedade Brasileira de Microbiologia 2012-06-01
Series:Brazilian Journal of Microbiology
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Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1517-83822012000200034
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Summary:The identification of dairy cows with greater or lower potential to develop mastits has been pursued for many years among different segments of the milk industry, including governmental organizations. Genomic studies have suggested that Single Nucleotide Polymorphisms (SNPs) within the pattern recognition receptors (PRR) could lead to different responses to pathogens, and consequently result in mastitis resistance or susceptibility. To investigate whether toll like receptor 4 (TLR4) gene is associated with subclinical mastitis in Holstein cows from a property in the state of Goiás, Brazil, TaqMan allelic discrimination and somatic cell count were performed. One hundred and fifty milk samples were analyzed for SCC and centesimal composition. Twenty percent of those samples with SCC above 200,000 (n=13) were screened for real-time PCR identification of microorganisms and blood samples were genotyped for TLR4 SNPs. There was a higher prevalence of Gram-positive bacteria in the analyzed samples (88.9%) and animals that had the combined genotypes AACCCC, GGTCGG and GACCGC presented the lowest somatic cell scores, and consequently those genotypes have the potential to be applied as molecular markers for assisted animal selection to improve milk quality.
ISSN:1517-8382
1678-4405