The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Bacterial diversity in aquatic and other environments: what 16S rDNA libraries can tell us
Abstract
We evaluate the substantial amount of information accumulated on bacterial diversity in a variety of environments and address several fundamental questions, focusing on aquatic systems but including other environments to provide a broader context. Bacterial diversity data were extracted from 225 16S rDNA libraries described in published reports, representing a variety of aquatic and non-aquatic environments. Libraries were predominantly composed of rare phylotypes that appeared only once or twice in the library, and the number of phylotypes observed was correlated with library size (implying that few libraries are exhaustive samples of diversity in the source community). Coverage, the estimated proportion of phylotypes in the environment represented in the library, ranged widely but on average was remarkably high and not correlated with library size. Phylotype richness was calculated by methods based on the frequency of occurrence of different phylotypes in 194 libraries that provided appropriate data. For 90% of aquatic-system libraries, and for 79% of non-aquatic libraries, the estimated phylotype richness was <200 phylotypes. Nearly all of the larger estimates were in aquatic sediments, digestive systems and soils. However, the approaches used to estimate phylotype richness may yield underestimates when libraries are too small. A procedure is described to provide an objective means of determining when a library is large enough to provide a stable and unbiased estimate of phylotype richness. A total of 56 libraries, including 44 from aquatic systems, were considered 'large enough' to yield stable estimates suitable for comparing richness among environments. Few significant differences in phylotype richness were observed among aquatic environments. For one of two richness estimators, the average phylotype richness was significantly lower in hyperthermal environments than in sediment and bacterioplankton, but no other significant differences among aquatic environments were observed. In general, and with demonstrated exceptions, published studies have captured a large fraction of bacterial diversity in aquatic systems. In most cases, the estimated bacterial diversity is lower than we would have expected, although many estimates should be considered minimum values. We suggest that on local scales, aquatic bacterial diversity is much less than any predictions of their global diversity, and remains a tractable subject for study. The global-scale diversity of aquatic Bacteria, on the other hand, may be beyond present capabilities for effective study.
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
Primary, Secondary, and Meta-Analysis of Research
GLASS, G. V. (1976) · Educational Researcher · doi:10.3102/0013189x005010003 · Cited by 4,890
Cited by
Pedrós-Alió, C. (2012) · Annual Review of Marine Science · doi:10.1146/annurev-marine-120710-100948 · Cited by 760
Zhao, Z., Ning, J., Bao, X.-Q., Shang, M., Ma, J., Li, G., & Zhang, D. (2021) · Microbiome · doi:10.1186/s40168-021-01107-9 · Cited by 616
Papineau, D., Walker, J. J., Mojzsis, S. J., & Pace, N. R. (2005) · Applied and Environmental Microbiology · doi:10.1128/aem.71.8.4822-4832.2005 · Cited by 209
Hu, Y., Zhang, L., Liu, Q., Wang, Y., Chen, Q., & Kong, B. (2020) · Food Microbiology · doi:10.1016/j.fm.2020.103505 · Cited by 205
Distinct flavobacterial communities in contrasting water masses of the North Atlantic Ocean
Gómez-Pereira, P. R., Fuchs, B. M., Alonso, C., Oliver, M. J., van Beusekom, J. E. E., & Amann, R. (2010) · The ISME Journal · doi:10.1038/ismej.2009.142 · Cited by 165
Metadata
- Authors
- Kemp, P. F., & Aller, J. Y.
- Venue
- FEMS Microbiology Ecology
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-02
- Volume
- 47
- Issue
- 2
- Pages
- 161-177
- ISSN
- 0168-6496 (ISSN-L)
- 1574-6941
- OpenAlex
- W1973153021
- Cited by
- 558
- References
- 1
- FWCI
- 15.50
- Type
- journal article
- Language
- en
- Open access
- closed
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: Bacterial diversity in aquatic and other environments: what 16S rDNA libraries can tell us. https://app.cochat.ai/papers/10.1016/s0168-6496(03)00257-5
- The paper
- Kemp, P. F., & Aller, J. Y. (2004). Bacterial diversity in aquatic and other environments: what 16S rDNA libraries can tell us. FEMS Microbiology Ecology. https://doi.org/10.1016/s0168-6496(03)00257-5
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.