Coğrafi İşaretli Iğdır Kayısısı’nda (Prunus armeniaca cv. Şalak) Çeşitli DNA Barkod Bölgelerinin İncelenmesi

Ticareti yapılan işlenmiş veya işlenmemiş gıda ürünlerinin orijinalliğinin belirlenmesi ve gıda aldatmacalarının belirlenmesinde modern moleküler biyoloji yöntemleri hassas ve kesin sonuç verebilmektedir. Özellikle yüksek ticari değeri olan gıda ürünlerinin, daha ucuz maliyetli ürünler veya katkı maddeleri ile karıştırılması, insan sağlığını tehdit edebilir veya tüketicinin aldatılmasına sebep olabilir.Bu çalışmada coğrafi işarete sahip Iğdır Kayısısı’nın (Prunus armeniacacv. Şalak) beş farklı DNA barkodu (ITS, LEAFY, matK, rbcL ve ycf1) uygun primer çiftleri ile çoğaltılmış ve Sanger dizileme ile oluşturulmuştur. Bu barkodlar GenBank veritabanına aktarılmış ve kayısı tür ve çeşitlerini nasıl ayırt edebildiği incelenmiştir. Elde ettiğimiz sonuçlara göre çekirdek genomu kökenli ITS ve LEAFY barkodları kayısı tür ve çeşitlerini diğer plastid kökenli barkodlara göre daha iyi bir şekilde ayırt etmiştir. Bu nedenle Prunuscinsi içerisindeki türlerin ve kayısı çeşitlerinin moleküler tanılamalarında ITS barkod bölgesinin kullanılmasını tavsiye etmekteyiz.

Analysis of Various DNA Barcodes on the Turkish Protected Designation of Origin Apricot “Iğdır Kayısısı” (Prunus armeniacacv. Şalak)

Identifying the originality and detecting the authentication of the processed and unprocessed commercial food products ensure food safety. Food adulteration of food products with high commercial value by cheap additives could threaten human health. In this study, we generated and tested five DNA barcodes (ITS, LEAFY, matK, rbcL, ycf1) of the Turkish Protected Designation of Origin Apricot “Iğdır Kayısısı” (Prunus armeniacacv. Şalak) with related primer pairs. The generated barcodes were deposited on the GenBank database. The results showed that nuclear originated ITS and LEAFY barcodes discriminated the Prunusspecies and cultivars better than the plastidial barcodes. Due to plenty of ITS barcodes on the databases, and good results in our study we recommend using ITS to identify Prunusspecies and cultivars.

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