Journals / Gaziosmanpaşa Üniversitesi Ziraat Fakültesi Dergisi / 2022 / Cilt: 39 - Sayı: 2

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

Pages
77–84
Publication Date
2022-11-06
DOI
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AI Summary & Key Takeaways

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⚡ TL;DR(Too Long; Didn't Read)

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).

📌 3 Key Takeaways

🎯
Objective & Hypothesis: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.
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Key Findings & Data: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.
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Conclusion & Impact: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).
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Bioinformatics · Candidate genes · PPARA

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).

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Cite This Article

ATAÇ, F. E., GEVREKÇİ, Y., TAKMA, Ç., AKKAYA, F., YILMAZ, M. C., AYYILMAZ, T., YEĞENOĞLU, E. D. (2022). Bioinformatical Evaluation of PPARA and PPARG Candidate Genes for Milk Quality Characteristics in Turkish Saanen Goats. Gaziosmanpaşa Üniversitesi Ziraat Fakültesi Dergisi, Cilt: 39 - Sayı: 2, 77–84. https://ajindex.com/articles/650799

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