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Cited by 516

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Detection and identification of mycobacteria by amplification of rRNA

Open access
Böddinghaus, B, Rogall, T, Flohr, T, Blöcker, H, Böttger, E C·1990·Journal of Clinical Microbiology

Abstract

Oligonucleotides specific at a genus, group, or species level were defined by a systematic comparison of small-subunit rRNA sequences from Mycobacterium tuberculosis, M. bovis, M. africanum, M. bovis BCG, M. avium, M. kansasii, M. marinum, M. gastri, M. chelonae, M. smegmatis, M. terrae, M. nonchromogenicum, M. xenopi, M. malmoense, M. szulgai, M. scrofulaceum, M. fortuitum, M. gordonae, M. intracellulare, M. simiae, M. flavescens, M. paratuberculosis, M. sphagni, M. cookii, M. komossense, M. phlei, and M. farcinica. On the basis of the defined oligonucleotides, the polymerase chain reaction technique was explored to develop a sensitive taxon-specific detection system for mycobacteria. By using M. tuberculosis as a model system, fewer than 10 bacteria could be reliably detected by this kind of assay. These results suggest that amplification of rRNA sequences by the polymerase chain reaction may provide a highly sensitive and specific tool for the direct detection of microorganisms without the need for prior cultivation.

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Crossref · 10.1128/jcm.28.8.1751-1759.1990

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Metadata

Authors
Böddinghaus, B., Rogall, T., Flohr, T., Blöcker, H., & Böttger, E. C.
Venue
Journal of Clinical Microbiology
Published
1990-08
Volume
28
Issue
8
Pages
1751-1759
ISSN
  • 0095-1137 (ISSN-L)
  • 1098-660X
OpenAlex
W1761387917
Cited by
516
References
1
FWCI
24.14
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Detection and identification of mycobacteria by amplification of rRNA. https://app.cochat.ai/papers/10.1128/jcm.28.8.1751-1759.1990
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Böddinghaus, B., Rogall, T., Flohr, T., Blöcker, H., & Böttger, E. C. (1990). Detection and identification of mycobacteria by amplification of rRNA. Journal of Clinical Microbiology. https://doi.org/10.1128/jcm.28.8.1751-1759.1990

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.