Bioinformatical Evaluation of PPARA and PPARG Candidate Genes for Milk Quality Characteristics in Turkish Saanen Goats

Year 2022, Volume: 39 Issue: 2, 77 - 84, 31.08.2022

Funda Ataç , Yakut Gevrekçi , Çiğdem Takma , Fatma Akkaya , Mustafa Can Yılmaz , Tarik Ayyılmaz , Dilsat Yegenoglu

https://doi.org/10.55507/gopzfd.1131221

Abstract

In this study, genetic information obtained in terms of milk yield and milk quality characteristics was used in order to increase the accuracy of breeding selection of Turkish Saanen goats. For this purpose, DNA sequencing of PPARG and PPARA genes from Turkish Saanen goats were compared with the sequences in gene databases and single nucleotide polymorphisms were examined. A relationship was found between some quality parameters (fat, protein and somatic cell count) of milk measurements of Turkish Saanen goats and PPARA and PPARG gene variants. Single nucleotide polymorphisms were detected in the exons and introns of the relevant gene variants, however, these polymorphisms did not have a statistically significant effect on quality parameters (p>0.05).

Keywords

Bioinformatics, Candidate genes, PPARA, PPARG, Turkish Saanen goat

Supporting Institution

Ege Üniversitesi Bilimsel Araştırma Projeleri (BAP)

Project Number

FGA-2019-20593

Thanks

The authors gratefully acknowledge the financial support of this research by Ege University Scientific Research Projects Coordination (BAP)

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