TY  - JOUR
T1  - Revealing Mucilage Event-Linked Community Composition in the Sea of Marmara from eDNA Metabarcoding Data
AU  - Doğan, Onur
AU  - Örün, Anıl Doğan
AU  - Bilgin, Raşit
AU  - İşinibilir, Melek
PY  - 2024
DA  - March
Y2  - 2024
DO  - 10.26650/ASE20241434217
JF  - Aquatic Sciences and Engineering
JO  - Aqua Sci Eng
PB  - Istanbul University
WT  - DergiPark
SN  - 2602-473X
SP  - 106
EP  - 120
VL  - 39
IS  - 2
LA  - en
AB  - Mucilage events are among the most conspicuous phenomena in marine ecosystems and present numerous challenges in determining the composition of communities associated with them. To overcome this problem, we used environmental DNA (eDNA) metabarcoding approaches to reveal the species-level resolution of community composition. Mucilaginous aggregates were sampled at six collecting sites during a novel mucilage event (autumn 2021–summer 2022) in the Sea of Marmara, Türkiye. A wide range of plankton community compositions was detected in mucilage samples. eDNA metabarcoding was effective in predicting the community composition of mucilage, which is composed of a wide variety of organisms from mucilaginous aggregates.
KW  - eDNA
KW  - metabarcoding
KW  - mucilage
KW  - the Sea of Marmara
KW  - molecular ecology
KW  - biomonitoring
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