The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Estimating prokaryotic diversity and its limits
Open accessAbstract
The absolute diversity of prokaryotes is widely held to be unknown and unknowable at any scale in any environment. However, it is not necessary to count every species in a community to estimate the number of different taxa therein. It is sufficient to estimate the area under the species abundance curve for that environment. Log-normal species abundance curves are thought to characterize communities, such as bacteria, which exhibit highly dynamic and random growth. Thus, we are able to show that the diversity of prokaryotic communities may be related to the ratio of two measurable variables: the total number of individuals in the community and the abundance of the most abundant members of that community. We assume that either the least abundant species has an abundance of 1 or Preston's canonical hypothesis is valid. Consequently, we can estimate the bacterial diversity on a small scale (oceans 160 per ml; soil 6,400–38,000 per g; sewage works 70 per ml). We are also able to speculate about diversity at a larger scale, thus the entire bacterial diversity of the sea may be unlikely to exceed 2 × 10 6 , while a ton of soil could contain 4 × 10 6 different taxa. These are preliminary estimates that may change as we gain a greater understanding of the nature of prokaryotic species abundance curves. Nevertheless, it is evident that local and global prokaryotic diversity can be understood through species abundance curves and purely experimental approaches to solving this conundrum will be fruitless.
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
Prokaryotes: 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 by
The rhizosphere microbiome and plant health
Berendsen, R. L., Pieterse, C. M. J., & Bakker, P. A. H. M. (2012) · Trends in Plant Science · doi:10.1016/j.tplants.2012.04.001 · Cited by 5,347
Van Der Heijden, M. G. A., Bardgett, R. D., & Van Straalen, N. M. (2008) · Ecology Letters · doi:10.1111/j.1461-0248.2007.01139.x · Cited by 5,053
Environmental genome shotgun sequencing of the sargasso sea
Venter, J. C., Remington, K., Heidelberg, J. F., Halpern, A. L., Rusch, D., Eisen, J. A., Wu, D., Paulsen, I., Nelson, K. E., Nelson, W., et al. (2004) · Science · doi:10.1126/science.1093857 · Cited by 4,376
Using network analysis to explore co-occurrence patterns in soil microbial communities
Barberán, A., Bates, S. T., Casamayor, E. O., & Fierer, N. (2012) · The ISME Journal · doi:10.1038/ismej.2011.119 · Cited by 3,044
Garbeva, P., van Veen, J. A., & van Elsas, J. D. (2004) · Annual Review of Phytopathology · doi:10.1146/annurev.phyto.42.012604.135455 · Cited by 1,458
Scaling laws predict global microbial diversity
Locey, K. J., & Lennon, J. T. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1521291113 · Cited by 1,184
Diversity and evolution of class 2 CRISPR–Cas systems
Shmakov, S., Smargon, A., Scott, D., Cox, D., Pyzocha, N., Yan, W., Abudayyeh, O. O., Gootenberg, J. S., Makarova, K. S., Wolf, Y. I., et al. (2017) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2016.184 · Cited by 1,029
Microbiota and Host Nutrition across Plant and Animal Kingdoms
Hacquard, S., Garrido-Oter, R., González, A., Spaepen, S., Ackermann, G., Lebeis, S., McHardy, A. C., Dangl, J. L., Knight, R., Ley, R., et al. (2015) · Cell Host & Microbe · doi:10.1016/j.chom.2015.04.009 · Cited by 779
Ecology Drives the Worldwide Distribution of Human Diseases
Guernier, V., Hochberg, M. E., & Guégan, J.-F. (2004) · PLoS Biology · doi:10.1371/journal.pbio.0020141 · Cited by 693
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
The biomass and biodiversity of the continental subsurface
Magnabosco, C., Lin, L.-H., Dong, H., Bomberg, M., Ghiorse, W., Stan-Lotter, H., Pedersen, K., Kieft, T. L., van Heerden, E., & Onstott, T. C. (2018) · Nature Geoscience · doi:10.1038/s41561-018-0221-6 · Cited by 473
Toward a census of bacteria in soil
Schloss, P. D., & Handelsman, J. (2006) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0020092 · Cited by 429
Environmental Side Effects of Pharmaceutical Cocktails: What We Know and What We Should Know
Vasquez, M. I., Lambrianides, A., Schneider, M., Kümmerer, K., & Fatta-Kassinos, D. (2014) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2014.06.069 · Cited by 295
The contribution of culturomics to the repertoire of isolated human bacterial and archaeal species
Bilen, M., Dufour, J.-C., Lagier, J.-C., Cadoret, F., Daoud, Z., Dubourg, G., & Raoult, D. (2018) · Microbiome · doi:10.1186/s40168-018-0485-5 · Cited by 231
Williams, M., Zalasiewicz, J., Haff, P., Schwägerl, C., Barnosky, A. D., & Ellis, E. C. (2015) · The Anthropocene Review · doi:10.1177/2053019615591020 · Cited by 226
Does a tree–like phylogeny only exist at the tips in the prokaryotes?
Creevey, C. J., Fitzpatrick, D. A., Philip, G. K., Kinsella, R. J., O'Connell, M. J., Pentony, M. M., Travers, S. A., Wilkinson, M., & McInerney, J. O. (2004) · Proceedings of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rspb.2004.2864 · Cited by 126
Cultured microbes represent a substantial fraction of the human and mouse gut microbiota
Lagkouvardos, I., Overmann, J., & Clavel, T. (2017) · Gut Microbes · doi:10.1080/19490976.2017.1320468 · Cited by 104
Ben-Dov, E., Shapiro, O. H., Siboni, N., & Kushmaro, A. (2006) · Applied and Environmental Microbiology · doi:10.1128/aem.00849-06 · Cited by 100
Kabelitz, N., Machackova, J., Imfeld, G., Brennerova, M., Pieper, D. H., Heipieper, H. J., & Junca, H. (2009) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-009-1868-0 · Cited by 57
Biodiversity: So much more than legs and leaves
Cowan, D. A., Rybicki, E. P., Tuffin, M. I., Valverde, A., & Wingfield, M. J. (2013) · South African Journal of Science · doi:10.1590/sajs.2013/a0037 · Cited by 19
Metadata
- Authors
- Curtis, T. P., Sloan, W. T., & Scannell, J. W.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2002-07-03
- Volume
- 99
- Issue
- 16
- Pages
- 10494-10499
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2020302957
- Cited by
- 1,153
- References
- 1
- FWCI
- 48.00
- Type
- journal article
- Language
- en
- Open access
- green
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
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.
