Assessments of antioxidant capacities of Mediterranean mussel (Mytilus galloprovincialis Lamarck, 1819) from the different stations of Dardenelles Strait (Turkey)


ERTÜRK GÜRKAN S.

Biharean Biologist, cilt.14, sa.1, ss.10-15, 2020 (Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 14 Sayı: 1
  • Basım Tarihi: 2020
  • Dergi Adı: Biharean Biologist
  • Derginin Tarandığı İndeksler: Scopus, BIOSIS, CAB Abstracts, Central & Eastern European Academic Source (CEEAS), Veterinary Science Database
  • Sayfa Sayıları: ss.10-15
  • Anahtar Kelimeler: Biomarker, CAT, GSH-Px, Mytilus galloprovincialis, SOD
  • Çanakkale Onsekiz Mart Üniversitesi Adresli: Evet

Özet

The use of biomarkers to determine the negative effects of chemical contaminations on the aquatic organisms is an important instrument for identifying and evaluating chemical pollution on environment. In this study, it was aimed to determine the effects on the Mediterranean mussel (Mytilus galloprovincialis) living in a coastline (Dardanelles Strait, Turkey), under the influence of urbanization, active ship / ferryboat traffic and agricultural activities using superoxide dismutase (SOD), catalase (CAT) and glutathione peroxidase (GSH-Px) antioxidant enzymes. M. galloprovincialis samples collected in October 2017 from 7 regions thought to be under the influence of different pollutants were used. The lowest SOD values measured (4.3-9.5) in the samples collected from Kepez station where the port is located and the highest values (14.1-43.3) were found in the samples of Kilitbahir station where ferry traffic is heavy. CAT and GSH-Px levels were higher in Güzelyalı (CAT: 81.6-96.4 and GSH-Px: 4.3-9.3) and Dardanos (CAT: 64-95.5 and GSH-Px: 6.7-7.9) stations where tourism was effective and Kepez station (CAT: 89.3-99 and GSH-Px: 6.2-7.2) where the port was located. According to statistical analysis, there is no significant difference in enzyme levels between stations. It is considered useful to investigate the seasonal variations of these levels in order to understand biomarker responses to pollutants and to assess changes between pollutant exposure and environmental conditions.