Insights into the bacterial community structure of marine mucilage by metabarcoding

ÖZBAYRAM E. G., AKÇAALAN ALBAY R., İŞİNİBİLİR OKYAR M., ALBAY M.

ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, cilt.29, sa.35, ss.53249-53258, 2022 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 29 Sayı: 35
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1007/s11356-022-19626-9
  • Dergi Adı: ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, IBZ Online, ABI/INFORM, Aerospace Database, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, CAB Abstracts, EMBASE, Environment Index, Geobase, MEDLINE, Pollution Abstracts, Veterinary Science Database, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.53249-53258
  • Anahtar Kelimeler: Amplicon sequencing, Bacteria, Biodiversity, Metabarcoding, MiSeq, Pollution effects, NORTHERN ADRIATIC SEA, HETEROTROPHIC BACTERIA, MICROBIAL COMMUNITIES, DYNAMICS, DIVERSITY, EVENTS, SNOW, AGGREGATION, MORPHOLOGY, ISTANBUL
  • İstanbul Üniversitesi Adresli: Evet

Özet

This prospective study was aimed to explore the bacterial diversity of marine mucilage developed in the Marmara Sea and the North Aegean Sea by metabarcoding. For this purpose, mucilage samples were collected from five different sampling locations, and the bacterial community structure was analyzed by 16S rRNA gene amplicon sequencing. The results highlighted a diverse bacterial community dominated by Proteobacteria and Bacteroidetes species. A negative and significant correlation between pH level and Campylobacterales, Clostridiales, and Vibronales abundances was detected, while a strong positive correlation was determined between total phosphorus (TP) and Campylobacterales. Results revealed that the bacterial community in the mucilage samples was predominated by particle-attached species preferring high-nutrient concentrations. This is the first study evaluating the bacterial diversity in a mucilage outbreak using a metabarcoding approach. Its results may contribute to this growing area of research and provide a database for further studies.