Bacterial profiles of the mud formations observed from a remotely operated vehicle (rov) in the deep of the Canakkale strait (dardanelles), Turkey

Autor: Aline, Gülşen, Türetken, Pelin Saliha Çiftçi, Gürun, Sevan, Kalkan, Samet, Taşova, Yunus Emre, Özyalvaç, Mustafa
Přispěvatelé: RTEÜ, Su Ürünleri Fakültesi, Su Ürünleri Temel Bilimler Bölümü, Kalkan, Samet
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Popis: KALKAN, SAMET/0000-0002-5110-5609; TURETKEN, Pelin Saliha CIFTCI/0000-0002-4377-1628 WOS: 000485852800002 The Canakkale Strait, as a part of the Turkish Strait System (TTS), is an important water route in the world which connects the Mediterranean Sea to the Sea of Marmara and hence to the Black Sea via the Istanbul Strait. Due to its peculiar hydrodynamic characteristics, the area offers unique opportunities for researching profiles of bacteria under different, poorly described conditions. the samples of the mud formations, observed by "Remotely-Operated Vehicles" (ROV) with a diameter of roughly 120m and a height of 1.5-2m at a depth of 24m on the seabed of the canakkale Strait, were investigated regarding bacterial composition, metabolic characteristics of heterotrophic bacteria and environmental variables. Gram-negative fermenting and non-fermenting bacteria were the most common group in terms of species numbers, compared to Gram-positive cocci and non-spore-forming and sporeforming bacilli, both also found in the sample of mud formations and surface sediment around them. in the study, four species, Micrococcus lylae, Lysinibacillus fusiformis, Bordetella trematum and Roseomonas gilardii were recorded for the first time in the Turkish Seas. the results of the study contribute to an increasing knowledge on bacterial diversity and bacterial interactions regarding metabolically-talented bacteria and the environmental conditions of different texture on the floor of the seabed. Istanbul University Scientific Research Projects UnitIstanbul University [20928] The authors wish to thank to Istanbul University Scientific Research Projects Unit (Project number: 20928) for their financial support.
Databáze: OpenAIRE