Dataset Information

Novel DNA chip based on a modified DigiTag2 assay for high-throughput species identification and genotyping of Mycobacterium tuberculosis complex isolates.

ABSTRACT: A multipurpose high-throughput genotyping tool for the assessment of recent epidemiological data and evolutional pattern in Mycobacterium tuberculosis complex (MTBC) clinical isolates was developed in this study. To facilitate processing, 51 highly informative single nucleotide polymorphisms (SNPs) were selected for discriminating the clinically most relevant MTBC species and genotyping M. tuberculosis into its principle genetic groups (PGGs) and SNP cluster groups (SCGs). Because of the high flexibility of the DigiTag2 assay, the identical protocol and DNA array containing the identical set of probes were applied to the highly GC-rich mycobacterial genome. The specific primers with multiplex amplification and hybridization conditions based on the DigiTag2 principle were optimized and evaluated with 14 MTBC reference strains, 4 nontuberculous mycobacteria (NTM) isolates, and 322 characterized M. tuberculosis clinical isolates. The DNA chip that was developed revealed a 99.85% call rate, a 100% conversion rate, and 99.75% reproducibility. For the accuracy rate, 98.94% of positive calls were consistent with previous molecular characterizations. Our cost-effective technology was capable of simultaneously identifying the MTBC species and the genotypes of 96 M. tuberculosis clinical isolates within 6 h using only simple instruments, such as a thermal cycler, a hybridization oven, and a DNA chip scanner, and less technician skill was required than for other techniques. We demonstrate this approach's potential as a simple, flexible, and rapid tool for providing clearer information regarding circulating MTBC isolates.

SUBMITTER: Srilohasin P

PROVIDER: S-EPMC4042797 | biostudies-literature | 2014 Jun

REPOSITORIES: biostudies-literature

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Novel DNA chip based on a modified DigiTag2 assay for high-throughput species identification and genotyping of Mycobacterium tuberculosis complex isolates.

Srilohasin Prapaporn P Chaiprasert Angkana A Tokunaga Katsushi K Nao Nishida N Prammananan Therdsak T

Journal of clinical microbiology 20140326 6

A multipurpose high-throughput genotyping tool for the assessment of recent epidemiological data and evolutional pattern in Mycobacterium tuberculosis complex (MTBC) clinical isolates was developed in this study. To facilitate processing, 51 highly informative single nucleotide polymorphisms (SNPs) were selected for discriminating the clinically most relevant MTBC species and genotyping M. tuberculosis into its principle genetic groups (PGGs) and SNP cluster groups (SCGs). Because of the high fl ...[more]

PMID: 24671786

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Project description:BACKGROUND: Multiplex ligation-dependent probe amplification (MLPA) is a powerful tool to identify genomic polymorphisms. We have previously developed a single nucleotide polymorphism (SNP) and large sequence polymorphisms (LSP)-based MLPA assay using a read out on a liquid bead array to screen for 47 genetic markers in the Mycobacterium tuberculosis genome. In our assay we obtain information regarding the Mycobacterium tuberculosis lineage and drug resistance simultaneously. Previously we called the presence or absence of a genotypic marker based on a threshold signal level. Here we present a more elaborate data analysis method to standardize and streamline the interpretation of data generated by MLPA. The new data analysis method also identifies intermediate signals in addition to classification of signals as positive and negative. Intermediate calls can be informative with respect to identifying the simultaneous presence of sensitive and resistant alleles or infection with multiple different Mycobacterium tuberculosis strains. RESULTS: To validate our analysis method 100 DNA isolates of Mycobacterium tuberculosis extracted from cultured patient material collected at the National TB Reference Laboratory of the National Center for Tuberculosis and Lung Diseases in Tbilisi, Republic of Georgia were tested by MLPA. The data generated were interpreted blindly and then compared to results obtained by reference methods. MLPA profiles containing intermediate calls are flagged for expert review whereas the majority of profiles, not containing intermediate calls, were called automatically. No intermediate signals were identified in 74/100 isolates and in the remaining 26 isolates at least one genetic marker produced an intermediate signal. CONCLUSION: Based on excellent agreement with the reference methods we conclude that the new data analysis method performed well. The streamlined data processing and standardized data interpretation allows the comparison of the Mycobacterium tuberculosis MLPA results between different experiments. All together this will facilitate the implementation of the MLPA assay in different settings.

Dataset Information

Novel DNA chip based on a modified DigiTag2 assay for high-throughput species identification and genotyping of Mycobacterium tuberculosis complex isolates.

Publications

Novel DNA chip based on a modified DigiTag2 assay for high-throughput species identification and genotyping of Mycobacterium tuberculosis complex isolates.

Similar Datasets

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