The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Structure and function of the global ocean microbiome
Open accessAbstract
Microbes are dominant drivers of biogeochemical processes, yet drawing a global picture of functional diversity, microbial community structure, and their ecological determinants remains a grand challenge. We analyzed 7.2 terabases of metagenomic data from 243 Tara Oceans samples from 68 locations in epipelagic and mesopelagic waters across the globe to generate an ocean microbial reference gene catalog with >40 million nonredundant, mostly novel sequences from viruses, prokaryotes, and picoeukaryotes. Using 139 prokaryote-enriched samples, containing >35,000 species, we show vertical stratification with epipelagic community composition mostly driven by temperature rather than other environmental factors or geography. We identify ocean microbial core functionality and reveal that >73% of its abundance is shared with the human gut microbiome despite the physicochemical differences between these two ecosystems.
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Cites
The SILVA ribosomal RNA gene database project: improved data processing and web-based tools
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Structure, function and diversity of the healthy human microbiome
The Human Microbiome Project Consortium (2012) · Nature · doi:10.1038/nature11234 · Cited by 11,726
A human gut microbial gene catalogue established by metagenomic sequencing
MetaHIT Consortium, Qin, J., Li, R., Raes, J., Arumugam, M., Burgdorf, K. S., Manichanh, C., Nielsen, T., Pons, N., Levenez, F., et al. (2010) · Nature · doi:10.1038/nature08821 · Cited by 11,624
Self-citationProkaryotes: The unseen majority
Whitman, W. B., Coleman, D. C., & Wiebe, W. J. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.12.6578 · Cited by 4,871 · cited 1×
“With an estimated 10(4) to 10(6) cells per milliliter, their biomass, combined with high turnover rates and environmental complexity, provides the grounds for immense genetic diversity (2).”
BackgroundTransitions in bacterial communities along the 2000 km salinity gradient of the Baltic Sea
Herlemann, D. P. R., Labrenz, M., Jürgens, K., Bertilsson, S., Waniek, J. J., & Andersson, A. F. (2011) · The ISME Journal · doi:10.1038/ismej.2011.41 · Cited by 2,885
A framework for human microbiome research
The Human Microbiome Project Consortium (2012) · Nature · doi:10.1038/nature11209 · Cited by 2,650
Global patterns and predictors of marine biodiversity across taxa
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SAR11 clade dominates ocean surface bacterioplankton communities
Morris, R. M., Rappé, M. S., Connon, S. A., Vergin, K. L., Siebold, W. A., Carlson, C. A., & Giovannoni, S. J. (2002) · Nature · doi:10.1038/nature01240 · Cited by 1,129
The contribution of species richness and composition to bacterial services
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Global patterns of bacterial beta-diversity in seafloor and seawater ecosystems
Zinger, L., Amaral-Zettler, L. A., Fuhrman, J. A., Horner-Devine, M. C., Huse, S. M., Welch, D. B. M., Martiny, J. B. H., Sogin, M., Boetius, A., & Ramette, A. (2011) · PLoS ONE · doi:10.1371/journal.pone.0024570 · Cited by 643 · cited 1×
“The total richness estimate of 37,470 is comparable to the numbers from a previous study, which detected about 44,500 OTUs based on polymerase chain reaction (PCR)–amplified 16S rRNA tags from 356 globally distributed pelagic samples (25) that were collected in the context of the International Census of Marine Microbe…”
Result
Cited by
MMseqs2 enables sensitive protein sequence searching for the analysis of massive data sets
Steinegger, M., & Söding, J. (2017) · Nature Biotechnology · doi:10.1038/nbt.3988 · Cited by 4,840
The biomass distribution on Earth
Bar-On, Y. M., Phillips, R., & Milo, R. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1711842115 · Cited by 3,723
“For the epipelagic and mesopelagic realms, we use data from the Tara Oceans campaign (54), which is based on ≈250 samples worldwide.”
MethodKEGG: integrating viruses and cellular organisms
Kanehisa, M., Furumichi, M., Sato, Y., Ishiguro-Watanabe, M., & Tanabe, M. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkaa970 · Cited by 3,436
Shotgun metagenomics, from sampling to analysis
Quince, C., Walker, A. W., Simpson, J. T., Loman, N. J., & Segata, N. (2017) · Nature Biotechnology · doi:10.1038/nbt.3935 · Cited by 2,202
Disentangling type 2 diabetes and metformin treatment signatures in the human gut microbiota
MetaHIT consortium, Forslund, K., Hildebrand, F., Nielsen, T., Falony, G., Le Chatelier, E., Sunagawa, S., Prifti, E., Vieira-Silva, S., Gudmundsdottir, V., et al. (2015) · Nature · doi:10.1038/nature15766 · Cited by 2,116
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Metadata
- Authors
- Sunagawa, S., Coelho, L. P., Chaffron, S., Kultima, J. R., Labadie, K., Salazar, G., Djahanschiri, B., Zeller, G., Mende, D. R., Alberti, A., Cornejo-Castillo, F. M., Costea, P. I., Cruaud, C., d'Ovidio, F., Engelen, S., Ferrera, I., Gasol, J. M., Guidi, L., Hildebrand, F., Kokoszka, F., Lepoivre, C., Lima-Mendez, G., Poulain, J., Poulos, B. T., Royo-Llonch, M., Sarmento, H., Vieira-Silva, S., Dimier, C., Picheral, M., Searson, S., Kandels-Lewis, S., coordinators, T. O., Bowler, C., de Vargas, C., Gorsky, G., Grimsley, N., Hingamp, P., Iudicone, D., Jaillon, O., Not, F., Ogata, H., Pesant, S., Speich, S., Stemmann, L., Sullivan, M. B., Weissenbach, J., Wincker, P., Karsenti, E., Raes, J., Acinas, S. G., Bork, P., Boss, E., Bowler, C., Follows, M., Karp-Boss, L., Krzic, U., Reynaud, E. G., Sardet, C., Sieracki, M., & Velayoudon, D.
- Venue
- Science
- Published
- 2015-05-22
- Volume
- 348
- Issue
- 6237
- Pages
- 1261359-1261359
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2127175247
- Cited by
- 2,921
- References
- 10
- FWCI
- 167.56
- Type
- journal article
- Language
- en
- Open access
- green
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- Sunagawa, S., Coelho, L. P., Chaffron, S., Kultima, J. R., Labadie, K., Salazar, G., Djahanschiri, B., Zeller, G., Mende, D. R., Alberti, A., Cornejo-Castillo, F. M., Costea, P. I., Cruaud, C., d'Ovidio, F., Engelen, S., Ferrera, I., Gasol, J. M., Guidi, L., Hildebrand, F., . . . Velayoudon, D. (2015). Structure and function of the global ocean microbiome. Science. https://doi.org/10.1126/science.1261359
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