The Ofunato Bay in Iwate Prefecture, Japan is a deep coastal bay located at the center of the Sanriku Rias coast and considered an economically and environmentally important asset. Here, we describe the first whole genome sequencing (WGS) study on the microbial community of the bay, where surface water samples were collected from three stations along its length to cover the entire bay; we preliminarily sequenced a 0.2 μm filter fraction among sequentially size-fractionated samples of 20.0, 5.0, 0.8 and 0.2 μm filters, targeting the free-living fraction only. From the 0.27–0.34 Gb WGS library, 0.9 × 106–1.2 × 106 reads from three sampling stations revealed 29 bacterial phyla (~80% of assigned reads), 3 archaeal phyla (~4%) and 59 eukaryotic phyla (~15%). Microbial diversity obtained from the WGS approach was compared with 16S rRNA gene results by mining WGS metagenomes, and we found similar estimates. The most frequently recovered bacterial sequences were Proteobacteria, predominantly comprised of 18.0–19.6% Planktomarina (Family Rhodobacteraceae) and 13.7–17.5% Candidatus Pelagibacter (Family Pelagibacterales). Other dominant bacterial genera, including Polaribacter (3.5–6.1%), Flavobacterium (1.8–2.6%), Sphingobacterium (1.4–1.6%) and Cellulophaga (1.4–2.0%), were members of Bacteroidetes and likely associated with the degradation and turnover of organic matter. The Marine Group I Archaea Nitrosopumilus was also detected. Remarkably, eukaryotic green alga Bathycoccus, Ostreococcus and Micromonas accounted for 8.8–15.2%, 3.6–4.9% and 2.1–3.1% of total read counts, respectively, highlighting their potential roles in the phytoplankton bloom after winter mixing.
KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): URF/1/1976
Acknowledgements: We thank Dr. Tomoko Sakami, Tohoku National Fisheries Research Institute, Japan Fisheries Research and Education Agency, for helping establish our sampling and DNA extraction systems. The research reported in this publication was supported in part by the King Abdullah University of Science and Technology (KAUST), under award number URF/1/1976.