The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Cultivation-Dependent and -Independent Approaches for Determining Bacterial Diversity in Heavy-Metal-Contaminated Soil
Open accessAbstract
In recent years, culture-independent methods have been used in preference to traditional isolation techniques for microbial community analysis. However, it is questionable whether uncultured organisms from a given sample are important for determining the impact of anthropogenic stress on indigenous communities. To investigate this, soil samples were taken from a site with patchy metal contamination, and the bacterial community structure was assessed with a variety of approaches. There were small differences in microscopic epifluorescence bacterial counts. Denaturing gradient gel electrophoresis (DGGE) profiles of 16S rRNA gene fragments (16S-DGGE) amplified directly from soil samples were highly similar. A clone library generated from the most contaminated sample revealed a diverse bacterial community, which showed similarities to pristine soil communities from other studies. However, the proportion of bacteria from the soil samples that were culturable on standard plate-counting media varied between 0.08 and 2.2%, and these values correlated negatively with metal concentrations. The culturable communities from each sample were compared by 16S-DGGE of plate washes and by fatty acid profiling of individual isolates. Each approach indicated that there were considerable differences between the compositions of the culturable communities from each sample. DGGE bands from both culture-based and culture-independent approaches were sequenced and compared. These data indicated that metal contamination did not have a significant effect on the total genetic diversity present but affected physiological status, so that the number of bacteria capable of responding to laboratory culture and their taxonomic distribution were altered. Thus, it appears that plate counts may be a more appropriate method for determining the effect of heavy metals on soil bacteria than culture-independent approaches.
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
Zengler, K., Toledo, G., Rappé, M., Elkins, J., Mathur, E. J., Short, J. M., & Keller, M. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.252630999 · Cited by 796
Cited by
Manganese- and Iron-Dependent Marine Methane Oxidation
Beal, E. J., House, C. H., & Orphan, V. J. (2009) · Science · doi:10.1126/science.1169984 · Cited by 1,075
The ecology of Acidobacteria: moving beyond genes and genomes
Kielak, A. M., Barreto, C. C., Kowalchuk, G. A., van Veen, J. A., & Kuramae, E. E. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.00744 · Cited by 1,033
Role of organic amendments on enhanced bioremediation of heavy metal (loid) contaminated soils
Park, J. H., Lamb, D., Paneerselvam, P., Choppala, G., Bolan, N., & Chung, J.-W. (2011) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2010.09.082 · Cited by 936
Transfer of heavy metals through terrestrial food webs: a review
Gall, J. E., Boyd, R. S., & Rajakaruna, N. (2015) · Environmental Monitoring and Assessment · doi:10.1007/s10661-015-4436-3 · Cited by 893
Adler, C. J., Dobney, K., Weyrich, L. S., Kaidonis, J., Walker, A. W., Haak, W., Bradshaw, C. J. A., Townsend, G., Sołtysiak, A., Alt, K. W., et al. (2013) · Nature Genetics · doi:10.1038/ng.2536 · Cited by 621
Metadata
- Authors
- Ellis, R. J., Morgan, P., Weightman, A. J., & Fry, J. C.
- Venue
- Applied and Environmental Microbiology
- Publisher
- American Society for Microbiology
- Published
- 2003-06
- Volume
- 69
- Issue
- 6
- Pages
- 3223-3230
- ISSN
- 0099-2240 (ISSN-L)
- 1098-5336
- OpenAlex
- W2127652519
- Cited by
- 516
- References
- 1
- FWCI
- 17.08
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Cultivation-Dependent and -Independent Approaches for Determining Bacterial Diversity in Heavy-Metal-Contaminated Soil. https://app.cochat.ai/papers/10.1128/aem.69.6.3223-3230.2003
- The paper
- Ellis, R. J., Morgan, P., Weightman, A. J., & Fry, J. C. (2003). Cultivation-Dependent and -Independent Approaches for Determining Bacterial Diversity in Heavy-Metal-Contaminated Soil. Applied and Environmental Microbiology. https://doi.org/10.1128/aem.69.6.3223-3230.2003
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.