The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.
The microbial ocean from genomes to biomes
Open accessAbstract
Numerically, microbial species dominate the oceans, yet their population dynamics, metabolic complexity and synergistic interactions remain largely uncharted. A full understanding of life in the ocean requires more than knowledge of marine microbial taxa and their genome sequences. The latest experimental techniques and analytical approaches can provide a fresh perspective on the biological interactions within marine ecosystems, aiding in the construction of predictive models that can interrelate microbial dynamics with the biogeochemical matter and energy fluxes that make up the ocean ecosystem.
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“These techniques have demonstrated that microbial populations are highly complex and that we have only begun to elucidate the full extent and capabilities of microbial life (DeLong, 2009).”
From The Astrobiology Primer v2.0 (2016) · cites this paper as DeLong, 2009
Citations
Cites
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Real-Time DNA Sequencing from Single Polymerase Molecules
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Community structure and metabolism through reconstruction of microbial genomes from the environment
Tyson, G. W., Chapman, J., Hugenholtz, P., Allen, E. E., Ram, R. J., Richardson, P. M., Solovyev, V. V., Rubin, E. M., Rokhsar, D. S., & Banfield, J. F. (2004) · Nature · doi:10.1038/nature02340 · Cited by 2,417
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O’Connell, L. M. (2015) · NSUWorks (Nova Southeastern University)
Bioinformatic approaches for new insights into old marine metagenomic data sets
Magasin, J. D. (2016) · eScholarship (California Digital Library)
RNA based research – development, application and analysis within the MIMAS project
Klindworth, A. (2012) · Max Planck Digital Library
Wear, E. K. (2017) · eScholarship (California Digital Library)
Machine learning prediction in genomic sequences of prokaryotic viruses from metagenomic datasets
Amgarten, D. (2022) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.95.2022.tde-17022022-091454
McSWEEN, H. Y., Jr., Moersch, J. E., Burr, D. M., Dunne, W. M., Emery, J. P., Kah, L. C., & McCanta, M. C. (2019) · Cambridge University Press eBooks · doi:10.1017/9781316535769.017
CLASSIFICATION OF EPIPHYTE BACTERIA FOUND IN COTTON PLANT IN UZBEKISTAN
O'.Xayitova, A. E. (2022) · Zenodo (CERN European Organization for Nuclear Research) · doi:10.5281/zenodo.7410737
Gebreselassie, N. A. (2024) · Library, Museums and Press - UDSpace (University of Delaware) · doi:10.58088/zka9-qv33
Deep CCZ Biodiversity Synthesis Workshop Friday Harbor, Washington, USA, 1-4 October 2019.
(ISA), I. S. A. (2019) · Institutional Archive of Ifremer (French Research Institute for Exploitation of the Sea)
Williamson, M. R. (2019) · UND Scholarly Commons (University of North Dakota)
Bioinformatic investigations in marine microbial ecology
Heller, P. (2014) · eScholarship (California Digital Library)
Gaber, F. E.-Z., Khallil, A.-R. M., Hassan, E. A., & Mahmoud, G. A. (2025) · Assiut University Journal of Multidisciplinary Scientific Research · doi:10.21608/aunj.2025.417337.1140
Geographical distribution and driving force of microbial communities in different trenches
Zhang, Y., Wang, P., & Jing, H. (2026) · Ecological Indicators · doi:10.1016/j.ecolind.2026.114667
Perez, M. S. (2021) · Bristol Research (University of Bristol)
Decker, S. D. (2010) · theses.fr (ABES) · doi:10.70675/64d01b64z53acz44e5z9655zb70c01b648b6
Vannier, T. (2017) · theses.fr (ABES) · doi:10.70675/619eba22z5d39z440az9d76z2c404589ecf8
Structure de l'écosystème planctonique : apport des données à haut débit de séquençage et d'imagerie
Silva, O. D. (2021) · theses.fr (ABES) · doi:10.70675/1bea65e9z90a1z442eza616z8deebff8eabb
Structure et dynamique de la communauté bactérienne libre et attachée dans les écosystèmes lacustres
Parveen, B. (2012) · theses.fr (ABES) · doi:10.70675/99c5b642z889bz4467z9bcbzd1cc7ace079d
Saleha, Z., Siddiqui, S. Z., & Nayak, A. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-29262-0.00010-1
Forces Shaping Diversity of Hydrogen Peroxide Detoxification Potential in Ocean Microbial Ecosystems
Goldberg, H., Dyhrman, S. T., DeMers, M. A., Braakman, R., & Hennon, G. M. M. (2026) · Environmental Microbiology · doi:10.1111/1462-2920.70315
Slavov, A. K., Tamburadzhiev, I., & Goranov, B. G. (2026) · Limnological Review · doi:10.3390/limnolrev26020026
Moshood, M. A., Sitoe, E. D. P. E., & Sant’Ana, A. S. (2026) · Food Microbiology · doi:10.1016/j.fm.2026.105207
Liu, H., Wang, P., Luo, J., Chen, S., & Jing, H. (2026) · Total Environment Microbiology · doi:10.1016/j.temicr.2026.100099
Metadata
- Authors
- DeLong, E. F.
- Affiliations
- Massachusetts Institute of Technology (US)
- Corresponding author
- DeLong, Edward F.
- ORCID
- DeLong, Edward F.
- Venue
- Nature
- Published
- 2009-05
- Volume
- 459
- Issue
- 7244
- Pages
- 200-206
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W1996821789
- Cited by
- 217
- References
- 80
- Citations by year
- 2026: 9 · 2025: 4 · 2024: 3 · 2023: 2 · 2022: 10 · 2021: 8 · 2020: 7 · 2019: 8 · 2018: 9 · 2017: 13 · 2016: 12 · 2015: 16 · 2014: 21 · 2013: 19 · 2012: 21
- FWCI
- 2.86
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- cc-by-nc-sa
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-sa)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Science Foundation
- U.S. Department of Energy (DEFG0207ER64506)
- Gordon and Betty Moore Foundation
- Topics
- Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Marine Plankton and Biogeochemistry
- Physical Sciences › Earth and Planetary Sciences › Oceanography › Marine Biology and Ecology Research
- Keywords
- marine microbiology, microbial communities, microbial population dynamics, microbial interactions, microbial metabolism, marine biomes, biogeochemical cycles, microbial genomics
- MeSH terms
- Marine Biology, Oceans and Seas, Phylogeny, Water Microbiology, Ecosystem, Gene Expression Profiling, Genomics
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