Dataset of 143 metagenome-assembled genomes from the Arctic and Atlantic Oceans, including 21 for eukaryotic organisms

• Published in: Data in Brief
• Main Authors: Anthony Duncan, Kerrie Barry, Chris Daum, Emiley Eloe-Fadrosh, Simon Roux, Katrin Schmidt, Susannah G. Tringe, Klaus U. Valentin, Neha Varghese, Asaf Salamov, Igor V. Grigoriev, Richard M. Leggett, Vincent Moulton, Thomas Mock
• Format: Article in Journal/Newspaper
• Language: English
• Published: Elsevier 2023
• Subjects: Genome resolved metagenomics; Phycology; Marine algae; MAGs; Phytoplankton; Polar microbiomes; Computer applications to medicine. Medical informatics; R858-859.7; Science (General); Q1-390; Arctic
• Online Access: https://doi.org/10.1016/j.dib.2023.108990; https://doaj.org/article/06f8e94497c7436ca01fb884a2f2e263

This article presents metagenome-assembled genomes (MAGs) for both eukaryotic and prokaryotic organisms originating from the Arctic and Atlantic oceans, along with gene prediction and functional annotation for MAGs from both domains. Eleven samples from the chlorophyll-a maximum layer of the surface ocean were collected during two cruises in 2012; six from the Arctic in June-July on ARK-XXVII/1 (PS80), and five from the Atlantic in November on ANT-XXIX/1 (PS81). Sequencing and assembly was carried out by the Joint Genome Institute (JGI), who provide annotation of the assembled sequences, and 122 MAGs for prokaryotic organisms. A subsequent binning process identified 21 MAGs for eukaryotic organisms, mostly identified as Mamiellophyceae or Bacillariophyceae. The data for each MAG includes sequences in FASTA format, and tables of functional annotation of genes. For eukaryotic MAGs, transcript and protein sequences for predicted genes are available. A spreadsheet is provided summarising quality measures and taxonomic classifications for each MAG. These data provide draft genomes for uncultured marine microbes, including some of the first MAGs for polar eukaryotes, and can provide reference genetic data for these environments, or used in genomics-based comparison between environments.