Türkiye’den Bazı Helvella Türlerinin Moleküler Tanımlanması İçin İki DNA Barkodlama Bölgesinin Karşılaştırılması

Yıl 2022, Cilt: 13 Sayı: 3, 111 - 118, 30.12.2022

Şuheda Sümeyye Terman , Mustafa Emre Akçay , Ayten Dizkırıcı

https://doi.org/10.30708/mantar.1202827

Öz

Çalışmada iki nükleer DNA lokusu kullanılarak Türkiye‘den bazı Helvella türlerinin (Helvella acetabulum, H. arctoalpina, H. calycina, H. corium, H. crispa, H. elastica, H. lacunosa, H. leucomelaena, H. leucopus, H. solitaria) filogenetik ilişkileri değerlendirilmiştir. Transkribe edilen aralayıcı bölgeler (ITS) ve translasyon uzama faktörü 1-alfa (TEF1-α) DNA dizileri Maksimum olasılık ve Bayes çıkarım yöntemleri baz alınarak analiz edilmiştir. TEF1-α bölgesi daha az indel ve tutarlı nukleotid varyasyonları içermesine ragmen, ITS bölgesi Helvella türlerinin filogenetik ayrımında daha iyi sonuç verebilir. Fakat her iki bölge de bu cins içerisinde yer alan bazı kriptik türlerin ya da morfotürlerin ayrımında tek başına yeterli olmayabilir.

Anahtar Kelimeler

Helvella, Barkod, ITS, TEF1-α, Barcode

Proje Numarası

FHD-2022-10113

Comparison of Two DNA Barcoding Regions for Molecular Identification of Some Helvella Species from Türkiye

Öz

In the present study, phylogenetic relationships of some Helvella species from Türkiye (Helvella acetabulum, H. arctoalpina, H. calycina, H. corium, H. crispa, H. elastica, H. lacunosa, H. leucomelaena, H. leucopus, H. solitaria) were assessed using morphological and molecular characters. DNA sequences of internal transcribed spacer (ITS) and translation elongation factor 1-alpha (TEF1-α) were analyzed based on Bayesian Inference methods. Although, the TEF1-α region has less number of indels and consistent nucleotide variations, ITS region can be preferred for figuring out the phylogeny of Helvella species. However, none of the regions may be sufficient alone for the identification of some cryptic and morphospecies within the genus.

Anahtar Kelimeler

Helvella, ITS, TEF1-α, Barcode

Destekleyen Kurum

Scientific Research Project Foundation

Proje Numarası

FHD-2022-10113

Kaynakça

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