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Use of denaturing high-performance liquid chromatography to identify Bacillus anthracis by analysis of the 16S-23S rRNA interspacer region and gyrA gene.

ABSTRACT: Denaturing high-performance liquid chromatography (DHPLC) was evaluated as a method for identifying Bacillus anthracis by analyzing two chromosomal targets, the 16S-23S intergenic spacer region (ISR) and the gyrA gene. The 16S-23S ISR was analyzed by this method with 42 strains of B. anthracis, 36 strains of Bacillus cereus, and 12 strains of Bacillus thuringiensis; the gyrA gene was analyzed by this method with 33 strains of B. anthracis, 27 strains of B. cereus, and 9 strains of B. thuringiensis. Two blind panels of 45 samples each were analyzed to evaluate the potential diagnostic capability of this method. Our results show that DHPLC is an efficient method for the identification of B. anthracis.

SUBMITTER: Hurtle W

PROVIDER: S-EPMC254356 | biostudies-literature | 2003 Oct

REPOSITORIES: biostudies-literature

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Use of denaturing high-performance liquid chromatography to identify Bacillus anthracis by analysis of the 16S-23S rRNA interspacer region and gyrA gene.

Hurtle William W Bode Elizabeth E Kaplan Rebecca Susan RS Garrison Jeff J Kearney Brian B Shoemaker David D Henchal Erik E Norwood David D

Journal of clinical microbiology 20031001 10

Denaturing high-performance liquid chromatography (DHPLC) was evaluated as a method for identifying Bacillus anthracis by analyzing two chromosomal targets, the 16S-23S intergenic spacer region (ISR) and the gyrA gene. The 16S-23S ISR was analyzed by this method with 42 strains of B. anthracis, 36 strains of Bacillus cereus, and 12 strains of Bacillus thuringiensis; the gyrA gene was analyzed by this method with 33 strains of B. anthracis, 27 strains of B. cereus, and 9 strains of B. thuringiens ...[more]

PMID: 14532217

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Project description:Analysis of 16S rRNA sequences is a commonly used method for the identification and discrimination of microorganisms. However, the high similarity of 16S and 23S rRNA sequences of Bacillus cereus group organisms (up to 99-100%) and repeatedly failed attempts to develop molecular typing systems that would use DNA sequences to discriminate between species within this group have resulted in several suggestions to consider B. cereus and B. thuringiensis, or these two species together with B. anthracis, as one species. Recently, we divided the B. cereus group into seven subgroups, Anthracis, Cereus A and B, Thuringiensis A and B, and Mycoides A and B, based on 16S rRNA, 23S rRNA and gyrB gene sequences and identified subgroup-specific makers in each of these three genes. Here we for the first time demonstrated discrimination of these seven subgroups, including subgroup Anthracis, with a 3D gel element microarray of oligonucleotide probes targeting 16S and 23S rRNA markers. This is the first microarray enabled identification of B. anthracis and discrimination of these seven subgroups in pure cell cultures and in environmental samples using rRNA sequences. The microarray bearing perfect match/mismatch (p/mm) probe pairs was specific enough to discriminate single nucleotide polymorphisms (SNPs) and was able to identify targeted organisms in 5min. We also demonstrated the ability of the microarray to determine subgroup affiliations for B. cereus group isolates without rRNA sequencing. Correlation of these seven subgroups with groupings based on multilocus sequence typing (MLST), fluorescent amplified fragment length polymorphism analysis (AFLP) and multilocus enzyme electrophoresis (MME) analysis of a wide spectrum of different genes, and the demonstration of subgroup-specific differences in toxin profiles, psychrotolerance, and the ability to harbor some plasmids, suggest that these seven subgroups are not based solely on neutral genomic polymorphisms, but instead reflect differences in both the genotypes and phenotypes of the B. cereus group organisms.

Project description:Analysis of 16S rRNA (rRNA) genes provides a central means of taxonomic classification of bacterial species. Based on presumed sequence identity among species of the Bacillus cereus sensu lato group, the 16S rRNA genes of B. anthracis have been considered unsuitable for diagnosis of the anthrax pathogen. With the recent identification of a single nucleotide polymorphism in some 16S rRNA gene copies, specific identification of B. anthracis becomes feasible. Here, we designed and evaluated a set of in situ, in vitro, and in silico assays to assess the unknown 16S state of B. anthracis from different perspectives. Using a combination of digital PCR, fluorescence in situ hybridization, long-read genome sequencing, and bioinformatics, we were able to detect and quantify a unique 16S rRNA gene allele of B. anthracis (16S-BA-allele). This allele was found in all available B. anthracis genomes and may facilitate differentiation of the pathogen from any close relative. Bioinformatics analysis of 959 B. anthracis SRA data sets inferred that abundances and genomic arrangements of the 16S-BA-allele and the entire rRNA operon copy numbers differ considerably between strains. Expression ratios of 16S-BA-alleles were proportional to the respective genomic allele copy numbers. The findings and experimental tools presented here provide detailed insights into the intra- and intergenomic diversity of 16S rRNA genes and may pave the way for improved identification of B. anthracis and other pathogens with diverse rRNA operons. IMPORTANCE For severe infectious diseases, precise pathogen detection is crucial for antibiotic therapy and patient survival. Identification of Bacillus anthracis, the causative agent of the zoonosis anthrax, can be challenging when querying specific nucleotide sequences such as in small subunit rRNA (16S rRNA) genes, which are commonly used for typing of bacteria. This study analyzed on a broad genomic scale a cryptic and hitherto underappreciated allelic variant of the bacterium's 16S rRNA genes and their transcripts using a set of in situ, in vitro, and in silico assays and found significant intra- and intergenomic heterogeneity in the distribution of the allele and overall rRNA operon copy numbers. This allelic variation was uniquely species specific, which enabled sensitive pathogen detection on both DNA and transcript levels. The methodology used here is likely also applicable to other pathogens that are otherwise difficult to discriminate from their less harmful relatives.

Dataset Information

Use of denaturing high-performance liquid chromatography to identify Bacillus anthracis by analysis of the 16S-23S rRNA interspacer region and gyrA gene.

Publications

Use of denaturing high-performance liquid chromatography to identify Bacillus anthracis by analysis of the 16S-23S rRNA interspacer region and gyrA gene.

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