Detection of rare and invasive freshwater fish species using eDNA pyrosequencirig: Lake Iznik ichthyofauna revised

KESKİN E., Unal E. M., ATAR H. H.

BIOCHEMICAL SYSTEMATICS AND ECOLOGY, cilt.67, ss.29-36, 2016 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 67
  • Basım Tarihi: 2016
  • Doi Numarası: 10.1016/j.bse.2016.05.020
  • Dergi Adı: BIOCHEMICAL SYSTEMATICS AND ECOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.29-36
  • Anahtar Kelimeler: eDNA, Pyrosequencing, Cytochrome b, Metabarcoding, Freshwater fish, ENVIRONMENTAL DNA, COMMUNITIES, QUALITY, TURKEY, DIET
  • Ankara Üniversitesi Adresli: Evet

Özet

Assessment of fish biodiversity in freshwater environments is challenging, especially when rare species or species with low population densities exist. Environmental DNA is becoming a common tool in molecular ecology to detect target species found in the environment. Moreover, eDNA metabarcoding is now used to determine a complete list of target organisms without any prior knowledge on the species inhabiting the environment. This study is the first environmental DNA study designed to assess complete ichthyofauna of the largest lake in Marmara Region of Turkey. For this purpose, an eDNA metabarcoding approach enhanced with tagged primers according to sampling stations for a station specific species listing was used to revise the ichthyofauna of Lake Iznik. Results of pyrosequencing data indicate the presence of 23 species in the lake, five of which are reported for the first time. Short fragment of cytochrome b gene sequences amplified in this study were able to make identifications at species level and the eDNA metabarcoding approach was more cost effective and precise compared to conventional surveys. More molecular data from further studies will enhance the reference databases and eDNA metabarcoding could be used more efficiently as an important molecular tool in biodiversity assessment studies. (C) 2016 Elsevier Ltd. All rights reserved.