Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 211

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

Differentiation of Phylogenetically Related Slowly Growing Mycobacteria by Their gyrB Sequences

Open access
Kasai, Hiroaki, Ezaki, Takayuki, Harayama, Shigeaki·2000·Journal of Clinical Microbiology

Abstract

The conventional methods for identifying mycobacterial species are based on their phenotypic characterization. Since some problematic species are slow growers, their taxonomy takes several weeks or months to identify. The ribosomal DNA (rDNA) sequence-based identification strategy has been adopted to solve this problem. More recently, the gyrB sequences have been shown to be useful phylogenetic markers for the identification of species. We determined the gyrB sequences of 43 slowly growing strains belonging to 15 species in the genus Mycobacterium . The frequencies of base substitutions in the gyrB sequences were comparable to those in the 16S-23S rDNA internal transcribed spacer (ITS) sequences. The ITS sequences of four species belonging to the M. tuberculosis complex ( M. tuberculosis , M. bovis , M. africanum , and M. microti ) were 100% identical, while four synonymous substitutions were found in the gyrB sequences of these strains. Based on the differences found in the gyrB sequences, we developed PCR and PCR-restriction fragment length polymorphism methods to discriminate these species.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1128/jcm.38.1.301-308.2000

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Metadata

Authors
Kasai, H., Ezaki, T., & Harayama, S.
Venue
Journal of Clinical Microbiology
Published
2000-01
Volume
38
Issue
1
Pages
301-308
ISSN
  • 0095-1137 (ISSN-L)
  • 1098-660X
OpenAlex
W2121037925
Cited by
211
References
1
FWCI
7.99
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: Differentiation of Phylogenetically Related Slowly Growing Mycobacteria by Their gyrB Sequences. https://app.cochat.ai/papers/10.1128/jcm.38.1.301-308.2000
The paper
Kasai, H., Ezaki, T., & Harayama, S. (2000). Differentiation of Phylogenetically Related Slowly Growing Mycobacteria by Their gyrB Sequences. Journal of Clinical Microbiology. https://doi.org/10.1128/jcm.38.1.301-308.2000

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.