Suchergebnisse

14 pages, 6 figures, additional information https://doi.org/10.1038/s41564-021-00979-9.-- Data availability: Accession numbers for the data used and generated in this study can be found in Supplementary Table 12, which includes the Arctic MAGs Catalogue and their functional annotation (European Bioinformatics Institute BioStudies ID: S-BSST451) and the co-assembly of metagenomic samples used to generate the metagenomic bins (European Nucleotide Archive PRJEB41575). Accession numbers for the metagenomic and metatranscriptomic samples used in the fragment recruitment analyses can be found in Supplementary Table 13. Publicly available datasets used in this study include the following: CheckM v.1.0.11 (https://github.com/Ecogenomics/CheckM/releases/tag/v1.1.0), GTDB release 89 (https://data.gtdb.ecogenomic.org/releases/release89/), SILVA 132 (https://www.arb-silva.de/documentation/release-132/), KEGG release 89.1 (https://www.genome.jp/kegg/docs/relnote.html) and Pfam database release 31.0 (http://ftp.ebi.ac.uk/pub/databases/Pfam/releases/Pfam31.0/). Source data are provided with this paper ; The role of the Arctic Ocean ecosystem in climate regulation may depend on the responses of marine microorganisms to environmental change. We applied genome-resolved metagenomics to 41 Arctic seawater samples, collected at various depths in different seasons during the Tara Oceans Polar Circle expedition, to evaluate the ecology, metabolic potential and activity of resident bacteria and archaea. We assembled 530 metagenome-assembled genomes (MAGs) to form the Arctic MAGs catalogue comprising 526 species. A total of 441 MAGs belonged to species that have not previously been reported and 299 genomes showed an exclusively polar distribution. Most Arctic MAGs have large genomes and the potential for fast generation times, both of which may enable adaptation to a copiotrophic lifestyle in nutrient-rich waters. We identified 38 habitat generalists and 111 specialists in the Arctic Ocean. We also found a general prevalence of 14 mixotrophs, while chemolithoautotrophs were mostly present in the mesopelagic layer during spring and autumn. We revealed 62 MAGs classified as key Arctic species, found only in the Arctic Ocean, showing the highest gene expression values and predicted to have habitat-specific traits. The Artic MAGs catalogue will inform our understanding of polar microorganisms that drive global biogeochemical cycles ; This work acknowledges the 'Severo Ochoa Centre of Excellence' accreditation (CEX2019-000928-S). We thank the commitment of the following sponsors and research funding agencies: the Spanish Ministry of Economy and Competitiveness (project MAGGY, grant no. CTM2017-87736-R and Polar EcoGen PID2020-116489RB-I00), Horizon 2020-Research and Innovation Framework Programme (Atlantic ECOsystems assessment, forecasting & sustainability, grant no. H2020-BG-2019-2), Centre National de la Recherche Scientifique (in particular Groupement de Recherche GDR3280 and the Research Federation for the study of Global Ocean Systems Ecology and Evolution, FR2022/Tara Oceans-GOSEE), European Molecular Biology Laboratory, Genoscope/Commissariat à l'Énergie Atomique et aux Énergies Alternatives, the French Ministry of Research and the French Government's 'Investissements d'Avenir' programmes OCEANOMICS (project no. ANR-11-BTBR-0008), FRANCE GENOMIQUE (project no. ANR-10-INBS-09-08), MEMO LIFE (project no. ANR-10-LABX-54), Paris Sciences et Lettres University (project no. ANR-11-IDEX-0001-02), Eidgenössische Technische Hochschule Zürich and Helmut Horten Foundation, the Swiss National Foundation (project no. 205321_184955), MEXT/JSPS/KAKENHI (project nos. 16H06429, 16K21723, 16H06437 and 18H02279) ; Peer reviewed

AbstractThe deep sea, the largest ocean's compartment, drives planetary-scale biogeochemical cycling. Yet, the functional exploration of its microbial communities lags far behind other environments. Here we analyze 58 metagenomes from tropical and subtropical deep oceans to generate the Malaspina Gene Database. Free-living or particle-attached lifestyles drive functional differences in bathypelagic prokaryotic communities, regardless of their biogeography. Ammonia and CO oxidation pathways are enriched in the free-living microbial communities and dissimilatory nitrate reduction to ammonium and H2 oxidation pathways in the particle-attached, while the Calvin Benson-Bassham cycle is the most prevalent inorganic carbon fixation pathway in both size fractions. Reconstruction of the Malaspina Deep Metagenome-Assembled Genomes reveals unique non-cyanobacterial diazotrophic bacteria and chemolithoautotrophic prokaryotes. The widespread potential to grow both autotrophically and heterotrophically suggests that mixotrophy is an ecologically relevant trait in the deep ocean. These results expand our understanding of the functional microbial structure and metabolic capabilities of the largest Earth aquatic ecosystem. ; We thank the R/V Hespérides captain and crew, the chief scientists in Malaspina expedition legs, and all project participants for their help in making this project possible. This work was funded by the Spanish Ministry of Economy and Competitiveness (MINECO) through the Consolider-Ingenio program (Malaspina 2010 Expedition, ref. CSD2008-00077). The sequencing of 58 bathypelagic metagenomes was done by the U.S. Department of Energy Joint Genome Institute, supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02 05CH11231 to SGA (CSP 612 "Microbial metagenomics and transcriptomics from a global deep-ocean expedition"). Additional funding was provided by the project MAGGY (CTM2017-87736-R) to S.G.A. from the Spanish Ministry of Economy and Competitiveness, Grup de Recerca 2017SGR/1568 from Generalitat de Catalunya, and King Abdullah University of Science and Technology (KAUST) under contract OSR #3362 and by funding of the EMFF Program of the European Union (MERCLUB project, Grant Agreement 863584). The ICM researchers have had the institutional support of the "Severo Ochoa Centre of Excellence" accreditation (CEX2019-000928-S). High-Performance computing analyses were run at the Marine Bioinformatics Service (MARBITS, https://marbits.icm.csic.es) of the Institut de Ciències del Mar (ICM-CSIC), Barcelona, Supercomputing Center (Grant BCV-2013-2-0001) and KAUST's Ibex HPC. We thank Shook Studio for assistance with figure design and implementation and the anonymous reviewers for their comments to improve this manuscript. This paper is dedicated to the memory of Professor Vladimir B. Bajic, 2019.

15 pages, 7 figures, supplementary information https://doi.org/10.1038/s42003-021-02112-2.-- All data generated or analyzed during this study are included in this published article (and its supplementary information files). All raw sequences are publicly available at both DOE's JGI Integrated Microbial Genomes and Microbiomes (IMG/MER) and the European Nucleotide Archive (ENA). Individual metagenome assemblies, annotation files, and alignment files can be accessed at IMG/MER. All accession numbers are listed in Supplementary Data 1. The co-assembly for the MAG dataset construction can be found through ENA at https://www.ebi.ac.uk/ena with accession number PRJEB40454, the nucleotide sequence for each MAG and their annotation files can be found through BioStudies at https://www.ebi.ac.uk/biostudies with accession S-BSST457 and also in the companion website to this manuscript at https://malaspina-public.gitlab.io/malaspina-deep-ocean-microbiome/.-- All software used in this work is publicly available distributed by their respective developers, and it is described in "Methods", including the versions and options used. Additional custom scripts to assign taxonomy to the M-geneDB genes and to filter and format FRA results are available through BioStudies at https://www.ebi.ac.uk/biostudies with accession S-BSST457 ; The deep sea, the largest ocean's compartment, drives planetary-scale biogeochemical cycling. Yet, the functional exploration of its microbial communities lags far behind other environments. Here we analyze 58 metagenomes from tropical and subtropical deep oceans to generate the Malaspina Gene Database. Free-living or particle-attached lifestyles drive functional differences in bathypelagic prokaryotic communities, regardless of their biogeography. Ammonia and CO oxidation pathways are enriched in the free-living microbial communities and dissimilatory nitrate reduction to ammonium and H2 oxidation pathways in the particle-attached, while the Calvin Benson-Bassham cycle is the most prevalent inorganic carbon fixation pathway in both size fractions. Reconstruction of the Malaspina Deep Metagenome-Assembled Genomes reveals unique non-cyanobacterial diazotrophic bacteria and chemolithoautotrophic prokaryotes. The widespread potential to grow both autotrophically and heterotrophically suggests that mixotrophy is an ecologically relevant trait in the deep ocean. These results expand our understanding of the functional microbial structure and metabolic capabilities of the largest Earth aquatic ecosystem ; This work was funded by the Spanish Ministry of Economy and Competitiveness (MINECO) through the Consolider-Ingenio program (Malaspina 2010 Expedition, ref. CSD2008-00077). The sequencing of 58 bathypelagic metagenomes was done by the U.S. Department of Energy Joint Genome Institute, supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02 05CH11231 to SGA (CSP 612 "Microbial metagenomics and transcriptomics from a global deep-ocean expedition"). Additional funding was provided by the project MAGGY (CTM2017-87736-R) to S.G.A. from the Spanish Ministry of Economy and Competitiveness, Grup de Recerca 2017SGR/1568 from Generalitat de Catalunya, and King Abdullah University of Science and Technology (KAUST) under contract OSR #3362 and by funding of the EMFF Program of the European Union (MERCLUB project, Grant Agreement 863584). The ICM researchers have had the institutional support of the "Severo Ochoa Centre of Excellence" accreditation (CEX2019-000928-S). High-Performance computing analyses were run at the Marine Bioinformatics Service (MARBITS, https://marbits.icm.csic.es) of the Institut de Ciències del Mar (ICM-CSIC), Barcelona, Supercomputing Center (Grant BCV-2013-2-0001) and KAUST's Ibex HPC ; Peer reviewed

This article is contribution number 94 of Tara Oceans.-- 37 pages, 20 figures, 1 table, supplementary information https://doi.org/10.1016/j.cell.2019.10.014.-- All raw reads are available through ENA at https://www.ebi.ac.uk/ena using the identifiers listed in https://doi.org/10.5281/zenodo.3473199. Processed data are accessible at https://www.ebi.ac.uk/biostudies/studies/S-BSST297, and additional information is provided in https://doi.org/10.5281/zenodo.3473199 and at the companion website: https://www.ocean-microbiome.org. Scripts used in this manuscript are available through a Github repository at https://github.com/SushiLab/omrgc_v2_scripts ; Ocean microbial communities strongly influence the biogeochemistry, food webs, and climate of our planet. Despite recent advances in understanding their taxonomic and genomic compositions, little is known about how their transcriptomes vary globally. Here, we present a dataset of 187 metatranscriptomes and 370 metagenomes from 126 globally distributed sampling stations and establish a resource of 47 million genes to study community-level transcriptomes across depth layers from pole-to-pole. We examine gene expression changes and community turnover as the underlying mechanisms shaping community transcriptomes along these axes of environmental variation and show how their individual contributions differ for multiple biogeochemically relevant processes. Furthermore, we find the relative contribution of gene expression changes to be significantly lower in polar than in non-polar waters and hypothesize that in polar regions, alterations in community activity in response to ocean warming will be driven more strongly by changes in organismal composition than by gene regulatory mechanisms ; Tara Oceans (that includes both the Tara Oceans and Tara Oceans Polar Circle expeditions) would not exist without the leadership of the Tara Expeditions Foundation and the continuous support of 23 institutes (https://oceans.taraexpeditions.org). We further thank the commitment of the following sponsors: CNRS (in particular Groupement de Recherche GDR3280 and the Research Federation for the study of Global Ocean Systems Ecology and Evolution, FR2022/Tara Oceans-GOSEE); European Molecular Biology Laboratory (EMBL); Genoscope/CEA; the French Ministry of Research; the French Government "Investissements d'Avenir" programmes OCEANOMICS (ANR-11-BTBR-0008), FRANCE GENOMIQUE (ANR-10-INBS-09-08), MEMO LIFE (ANR-10-LABX-54), and PSL∗ Research University (ANR-11-IDEX-0001-02); Gordon and Betty Moore Foundation (award 3790); the US National Science Foundation (OCE#1536989 and OCE#1829831 to M.B.S.); the European Union's Horizon 2020 research and innovation programme (grant agreement 686070); and the Ohio Supercomputer and the EMBL and ETH Zürich HPC facilities for computational support. Funding for the collection and processing of the TARA data set was provided by NASA Ocean Biology and Biogeochemistry program under grants NNX11AQ14G, NNX09AU43G, NNX13AE58G, and NNX15AC08G to the University of Maine and Canada Excellence Research Chair on Remote sensing of Canada's new Arctic frontier Canada Foundation for Innovation. C.B. acknowledges funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement 835067). S.G.A. thanks the Spanish Ministry of Economy and Competitiveness (CTM2017-87736-R). S. Sunagawa. is supported by the ETH and the Helmut Horten Foundation and by funding from the Swiss National Foundation (205321_184955) ; Peer Reviewed