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Rajasthan University of Veterinary and Animal Sciences, Bikaner (2017)

Study on Genetic Variation in Milk Genes and Their Association with Milk Performance Traits in Indigenous Cattle Breeds

Vijay Kumar Agrawal

Titre : Study on Genetic Variation in Milk Genes and Their Association with Milk Performance Traits in Indigenous Cattle Breeds

Auteur : Vijay Kumar Agrawal

Université de soutenance : Rajasthan University of Veterinary and Animal Sciences, Bikaner

Grade : Doctor of Philosophy (PhD) Animal Genetics and Breeding 2017

Résumé partiel
The present study was undertaken to explore the genetic variability in exon-3 and exon-4 of prolactin (PRL) ; and DGAT1 gene and their association with milk performance and milk composition traits in indigenous cattle breed of Rathi, Sahiwal and Kankrej. 225 apparently healthy and lactating cows from breeds of Rathi (n=75), Sahiwal (n=75) and Kankrej (n=75) were selected randomly for the collection of blood and milk samples. The phenotypic information on various lactation traits was recorded from official records maintained in the farm. 100 ml milk from selected animals was collected for the analyses of different milk constituents. About 2ml jugular vein blood was collected in sterile vacutainer from all the selected animals. Genomic DNA from whole blood was extracted through spin column method. The purity (OD ratio 260/280) and concentration (ng/µl) of extracted genomic DNA was determined by Nano-drop spectrophotometer and 0.8% agarose electrophoresis. Species specific primers were used to amplify the 156 bp, 294 bp and 411 bp region of PRL exon-3, PRL exon-4 and DGAT1 gene, respectively. Two approaches such as restriction fragment length polymorphism (RFLP), single strand conformation polymorphism (SSCP) was carried out to detect the genetic variation in selected gene regions. Bioinformatics tools such as Chromas, Bioedit and Clustal W were used for single nucleotide polymorphisms (SNPs) detection and analysis after gene sequencing. Generated sequences were submitted to international database, NCBI GENBANK for assignment of accession number. Neighbourhood Joining (NJ) phylogenetic tree was constructed through bootstrap test method in MEGA7 bioinformatics software.

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