Dataset Information

Multiple copies of the 16S rRNA gene in Nocardia nova isolates and implications for sequence-based identification procedures.

ABSTRACT: Molecular investigation of two Nocardia patient isolates showed unusual restriction fragment length polymorphism patterns with restriction endonuclease assays (REA) using an amplified portion of the 16S rRNA gene. Patterns typical of Nocardia nova were obtained with REA of an amplified portion of the 65-kDa heat shock protein gene. Subsequent sequence analysis of the 16S rRNA gene regions of these isolates showed the presence of ambiguous bases within an expected restriction endonuclease recognition site which were not able to be resolved on repeat testing. Cloning of amplified regions of the 16S rRNA genes and subsequent sequencing of the resulting clones from the two patient isolates showed three different 16S rRNA gene sequences which corresponded to sequences found in N. nova, a molecular variant of N. nova, and a previously undescribed sequence. Hybridization studies using a DNA probe corresponding to an 89-bp conserved region of the 16S rRNA gene confirmed the presence of at least two copies of the 16S rRNA gene in the N. nova type strain, in a patient isolate identical to the molecular variant of N. nova, and in the two other patient isolates. All isolates were found to belong to the species N. nova as determined by DNA-DNA hybridization. Because minimal variation has been found in the 16S rRNA gene sequences of different species of Nocardia, those laboratories employing molecular methods for identification of these species must be aware of the potential identification complications that may be caused by the presence of differing 16S rRNA genes in the same isolate.

SUBMITTER: Conville PS

PROVIDER: S-EPMC1151890 | biostudies-literature | 2005 Jun

REPOSITORIES: biostudies-literature

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Multiple copies of the 16S rRNA gene in Nocardia nova isolates and implications for sequence-based identification procedures.

Conville Patricia S PS Witebsky Frank G FG

Journal of clinical microbiology 20050601 6

Molecular investigation of two Nocardia patient isolates showed unusual restriction fragment length polymorphism patterns with restriction endonuclease assays (REA) using an amplified portion of the 16S rRNA gene. Patterns typical of Nocardia nova were obtained with REA of an amplified portion of the 65-kDa heat shock protein gene. Subsequent sequence analysis of the 16S rRNA gene regions of these isolates showed the presence of ambiguous bases within an expected restriction endonuclease recogni ...[more]

PMID: 15956412

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Project description:BACKGROUND: The intra- and inter-species genetic diversity of bacteria and the absence of 'reference', or the most representative, sequences of individual species present a significant challenge for sequence-based identification. The aims of this study were to determine the utility, and compare the performance of several clustering and classification algorithms to identify the species of 364 sequences of 16S rRNA gene with a defined species in GenBank, and 110 sequences of 16S rRNA gene with no defined species, all within the genus Nocardia. METHODS: A total of 364 16S rRNA gene sequences of Nocardia species were studied. In addition, 110 16S rRNA gene sequences assigned only to the Nocardia genus level at the time of submission to GenBank were used for machine learning classification experiments. Different clustering algorithms were compared with a novel algorithm or the linear mapping (LM) of the distance matrix. Principal Components Analysis was used for the dimensionality reduction and visualization. RESULTS: The LM algorithm achieved the highest performance and classified the set of 364 16S rRNA sequences into 80 clusters, the majority of which (83.52%) corresponded with the original species. The most representative 16S rRNA sequences for individual Nocardia species have been identified as 'centroids' in respective clusters from which the distances to all other sequences were minimized; 110 16S rRNA gene sequences with identifications recorded only at the genus level were classified using machine learning methods. Simple kNN machine learning demonstrated the highest performance and classified Nocardia species sequences with an accuracy of 92.7% and a mean frequency of 0.578. CONCLUSION: The identification of centroids of 16S rRNA gene sequence clusters using novel distance matrix clustering enables the identification of the most representative sequences for each individual species of Nocardia and allows the quantitation of inter- and intra-species variability.

Dataset Information

Multiple copies of the 16S rRNA gene in Nocardia nova isolates and implications for sequence-based identification procedures.

Publications

Multiple copies of the 16S rRNA gene in Nocardia nova isolates and implications for sequence-based identification procedures.

Similar Datasets

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