HASRET YARDİBİ, FERAYE ESEN GÜRSEL, ATİLA ATEŞ, IRAZ AKIŞ AKAD, NEZİHA HACIHASANOĞLU ÇAKMAK, KEMAL ÖZDEM ÖZTABAK

Polymorphism of the Kap 1.1, Kap 1.3 and K33 Genes in Chios, Kivircik and Awassi

Kreatin ilişkili proteinler, yün ve kıl yapısının komponentleridir. Lifli yapının özelliklerinin belirlenmesinde önemli rol oynarlar. Yapılan bu çalışmada amaç, Sakız, Kıvırcık ve İvesi koyun ırklarında kreatin ve kreatin ilişkili proteinleri kodlayan genlerdeki varyasyonu incelemektir. Bu lokuslardaki olası varyasyonlar, yün verimi ile ilişkili genetik markör oluşturabilir. Kan örnekleri 2 mllik EDTAlı tüplere vena jugularis den alınmıştır. Standart salting out yöntemiyle genomik DNA izole edilmiştir. KAP 1.1, KAP 1.3 ve K33 için bölgeleri belirlemek için PCR yöntemi kullanılmıştır. Elde edilen sonuçler POPGEN 32 istatistik programı ile değerlendirilmiştir. Sekans analizi sonuçları için MEGA 5 programı kullanılmıştır. Sonuçlar göstermiştir ki, çalışmadaki yerli ırklarda, söz konusu genlere odaklı seleksiyon uygulamalarının , yün verim ve kalitesini geliştirmek için önem oluşturabilir.

Sakız, Kıvırcık ve İvesi Koyun Irklarında KAP 1.1, KAP 1.3 ve K33 Gen Polimorfizmlerinin Belirlenmesi

Abstract Keratin-associated proteins are major structural components of hair and wool fibres. They also play an important role in determining the properties of the fibre. This study is designed to examine variation in the genes encoding key keratin and keratin associated proteins in Chios, Kivircik and Awassi sheep. Variation at these loci has the potential to be developed as genetic markers deal with wool traits. Blood samples were taken into 2 ml sterilized tubes with EDTA from vena jugularis for having genomic DNA samples. Genomic DNA isolation was obtained by standard salting out method. Regions were amplified for the determination of KAP 1.1, KAP 1.3 and K33 polymorphisms in DNA samples by using PCR. Gene polymorphisms and chi-square test were used to determine whether the populations are in Hardy-Weinberg equilibrium using by POPGENE32 software. Results of the sequence analysis of the regions were evaluated by using MEGA 5. The results have shown a possibility to improve the quality of the wool traits on those local species by doing selection trials targeting on those mentioned genes

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