The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A New Approach To Utilize PCR–Single-Strand-Conformation Polymorphism for 16S rRNA Gene-Based Microbial Community Analysis
Open accessAbstract
Single-strand-conformation polymorphism (SSCP) of DNA, a method widely used in mutation analysis, was adapted to the analysis and differentiation of cultivated pure-culture soil microorganisms and noncultivated rhizosphere microbial communities. A fragment (approximately 400 bp) of the bacterial 16S rRNA gene (V-4 and V-5 regions) was amplified by PCR with universal primers, with one primer phosphorylated at the 5′ end. The phosphorylated strands of the PCR products were selectively digested with lambda exonuclease, and the remaining strands were separated by electrophoresis with an MDE polyacrylamide gel, a matrix specifically optimized for SSCP purposes. By this means, reannealing and heteroduplex formation of DNA strands during electrophoresis could be excluded, and the number of bands per organism was reduced. PCR products from 10 of 11 different bacterial type strains tested could be differentiated from each other. With template mixtures consisting of pure-culture DNAs from 5 and 10 bacterial strains, most of the single strains could be detected from such model communities after PCR and SSCP analyses. Purified bands amplified from pure cultures and model communities extracted from gels could be reamplified by PCR, but by this process, additional products were also generated, as detected by further SSCP analysis. Profiles generated with DNAs of rhizosphere bacterial communities, directly extracted from two different plant species grown in the same field site, could be clearly distinguished. This study demonstrates the potential of the selected PCR–single-stranded DNA approach for microbial community analysis.
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
Mahaffee, W. F., & Kloepper, J. W. (1997) · Microbial Ecology · doi:10.1007/s002489900050 · Cited by 254
Cited by
Ecology of prokaryotic viruses
Weinbauer, M. G. (2004) · FEMS Microbiology Reviews · doi:10.1016/j.femsre.2003.08.001 · Cited by 1,771
Ott, S. J., Musfeldt, M., Wenderoth, D. F., Hampe, J., Brant, O., Fölsch, U. R., Timmis, K. N., & Schreiber, S. (2004) · Gut · doi:10.1136/gut.2003.025403 · Cited by 1,311
PCR-DGGE fingerprinting: novel strategies for detection of microbes in food
Ercolini, D. (2004) · Journal of Microbiological Methods · doi:10.1016/j.mimet.2003.11.006 · Cited by 624
Ott, S. J., El Mokhtari, N. E., Musfeldt, M., Hellmig, S., Freitag, S., Rehman, A., Kühbacher, T., Nikolaus, S., Namsolleck, P., Blaut, M., et al. (2006) · Circulation · doi:10.1161/circulationaha.105.579979 · Cited by 391
WRIGHT, D. T., & WACEY, D. (2005) · Sedimentology · doi:10.1111/j.1365-3091.2005.00732.x · Cited by 300
Metadata
- Authors
- Schwieger, F., & Tebbe, C. C.
- Venue
- Applied and Environmental Microbiology
- Publisher
- American Society for Microbiology
- Published
- 1998-12
- Volume
- 64
- Issue
- 12
- Pages
- 4870-4876
- ISSN
- 0099-2240 (ISSN-L)
- 1098-5336
- OpenAlex
- W1870615197
- Cited by
- 690
- References
- 1
- FWCI
- 13.19
- 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: A New Approach To Utilize PCR–Single-Strand-Conformation Polymorphism for 16S rRNA Gene-Based Microbial Community Analysis. https://app.cochat.ai/papers/10.1128/aem.64.12.4870-4876.1998
- The paper
- Schwieger, F., & Tebbe, C. C. (1998). A New Approach To Utilize PCR–Single-Strand-Conformation Polymorphism for 16S rRNA Gene-Based Microbial Community Analysis. Applied and Environmental Microbiology. https://doi.org/10.1128/aem.64.12.4870-4876.1998
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.