The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.
Global diversity of microbial communities in marine sediment
Open accessAbstract
Significance: Marine sediment covers 70% of Earth’s surface and harbors as much biomass as seawater. However, the global taxonomic diversity of marine sedimentary communities, and the spatial distribution of that diversity remain unclear. We investigated microbial composition from 40 globally distributed sampling locations, spanning sediment depths of 0.1 to 678 m. Statistical analysis reveals that oxygen presence or absence and organic carbon concentration are key environmental factors for defining taxonomic composition and diversity of marine sedimentary communities. Global marine sedimentary taxonomic richness predicted by species–area relationship models is 7.85 × 10 3 to 6.10 × 10 5 for Archaea and 3.28 × 10 4 to 2.46 × 10 6 for Bacteria as amplicon sequence variants, which is comparable to the richness in seawater and that in topsoil.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
QIIME allows analysis of high-throughput community sequencing data
Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887
Schloss, P. D., Westcott, S. L., Ryabin, T., Hall, J. R., Hartmann, M., Hollister, E. B., Lesniewski, R. A., Oakley, B. B., Parks, D. H., Robinson, C. J., et al. (2009) · Applied and Environmental Microbiology · doi:10.1128/aem.01541-09 · Cited by 19,549
Community structure in social and biological networks
Girvan, M., & Newman, M. E. J. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.122653799 · Cited by 15,502
Finding and evaluating community structure in networks
Newman, M. E. J., & Girvan, M. (2004) · Physical Review E · doi:10.1103/physreve.69.026113 · Cited by 13,931
Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample
Caporaso, J. G., Lauber, C. L., Walters, W. A., Berg-Lyons, D., Lozupone, C. A., Turnbaugh, P. J., Fierer, N., & Knight, R. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1000080107 · Cited by 9,711
VEGAN, a package of R functions for community ecology
Dixon, P. (2003) · Journal of Vegetation Science · doi:10.1111/j.1654-1103.2003.tb02228.x · Cited by 6,824
iNEXT: an R package for rarefaction and extrapolation of species diversity (Hill numbers)
Hsieh, T. C., Ma, K. H., & Chao, A. (2016) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12613 · Cited by 4,428
Parada, A. E., Needham, D. M., & Fuhrman, J. A. (2016) · Environmental Microbiology · doi:10.1111/1462-2920.13023 · Cited by 4,007
Structure and function of the global ocean microbiome
Sunagawa, S., Coelho, L. P., Chaffron, S., Kultima, J. R., Labadie, K., Salazar, G., Djahanschiri, B., Zeller, G., Mende, D. R., Alberti, A., et al. (2015) · Science · doi:10.1126/science.1261359 · Cited by 2,921
Structure and function of the global topsoil microbiome
Bahram, M., Hildebrand, F., Forslund, S. K., Anderson, J. L., Soudzilovskaia, N. A., Bodegom, P. M., Bengtsson-Palme, J., Anslan, S., Coelho, L. P., Harend, H., et al. (2018) · Nature · doi:10.1038/s41586-018-0386-6 · Cited by 2,538
Cited by
Global biogeography of microbes driving ocean ecological status under climate change
Zhang, Z., Zhang, Q., Chen, B., Yu, Y., Wang, T., Xu, N., Fan, X., Penuelas, J., Fu, Z., Deng, Y., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-49124-0 · Cited by 49
Sepich‐Poore, G. D., Guccione, C., Laplane, L., Pradeu, T., Curtius, K., & Knight, R. (2022) · BioEssays · doi:10.1002/bies.202100252 · Cited by 33
Peng, J., Liu, X., Wang, J., Meng, N., Cai, R., Peng, Y., Han, Y., Liao, J., Li, C., Rubin-Blum, M., et al. (2025) · Microbiome · doi:10.1186/s40168-025-02280-x · Cited by 6
Metadata
- Authors
- Hoshino, T., Doi, H., Uramoto, G.-I., Wörmer, L., Adhikari, R. R., Xiao, N., Morono, Y., D’Hondt, S., Hinrichs, K.-U., & Inagaki, F.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2020-10-19
- Volume
- 117
- Issue
- 44
- Pages
- 27587-27597
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W3092816750
- Cited by
- 412
- References
- 74
- FWCI
- 24.17
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Global diversity of microbial communities in marine sediment. https://app.cochat.ai/papers/10.1073/pnas.1919139117
- The paper
- Hoshino, T., Doi, H., Uramoto, G.-I., Wörmer, L., Adhikari, R. R., Xiao, N., Morono, Y., D’Hondt, S., Hinrichs, K.-U., & Inagaki, F. (2020). Global diversity of microbial communities in marine sediment. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1919139117
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
