Marine picoplankton metagenomes and MAGs from eleven vertical profiles obtained by the Malaspina Expedition

Pablo Sánchez, Felipe H. Coutinho, Marta Sebastián, Massimo C. Pernice, Raquel Rodríguez-Martínez, Guillem Salazar, Francisco Miguel Cornejo-Castillo, Stéphane Pesant, Xabier López-Alforja, Ester María López-García, Susana Agustí, Takashi Gojobori, Ramiro Logares, Maria Montserrat Sala, Dolors Vaqué, Ramon Massana, Carlos M. Duarte, Silvia G. Acinas, Josep M. Gasol

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

The Ocean microbiome has a crucial role in Earth’s biogeochemical cycles. During the last decade, global cruises such as Tara Oceans and the Malaspina Expedition have expanded our understanding of the diversity and genetic repertoire of marine microbes. Nevertheless, there are still knowledge gaps regarding their diversity patterns throughout depth gradients ranging from the surface to the deep ocean. Here we present a dataset of 76 microbial metagenomes (MProfile) of the picoplankton size fraction (0.2–3.0 µm) collected in 11 vertical profiles covering contrasting ocean regions sampled during the Malaspina Expedition circumnavigation (7 depths, from surface to 4,000 m deep). The MProfile dataset produced 1.66 Tbp of raw DNA sequences from which we derived: 17.4 million genes clustered at 95% sequence similarity (M-GeneDB-VP), 2,672 metagenome-assembled genomes (MAGs) of Archaea and Bacteria (Malaspina-VP-MAGs), and over 100,000 viral genomic sequences. This dataset will be a valuable resource for exploring the functional and taxonomic connectivity between the photic and bathypelagic tropical and sub-tropical ocean, while increasing our general knowledge of the Ocean microbiome.

Original languageEnglish
Article number154
JournalScientific Data
Volume11
Issue number1
DOIs
Publication statusPublished - 2024 Dec

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Information Systems
  • Education
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences

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