MGIT Enriched Shotgun Metagenomics for Routine Identification of Nontuberculous Mycobacteria: a Route to Personalized Health Care.

Currently, nontuberculous mycobacteria (NTM) are identified using small genomic regions, and species-level identification is often not possible. We introduce a next-generation sequencing (NGS) workflow that identifies mycobacteria to (sub)species level on the basis of the whole genome extracted from enriched shotgun metagenomic data. This technique is used to study the association between genotypes and clinical manifestations to pave the way to more personalized health care.

Implementation of Semiautomated Antimicrobial Susceptibility Interpretation Hardware for Nontuberculous Mycobacteria May Overestimate Susceptibility.

Nontuberculous mycobacteria (NTM) cause severe opportunistic infections and have a rising incidence in most settings. Rising diagnostic need must be met by national reference laboratories, which rely on Clinical and Laboratory Standards Institute (CLSI) guideline-approved manual readout of microtiter plates for antimicrobial susceptibility testing (AST) to determine antibiotic minimum inhibitory concentrations (MICs). Interpretation of these plates leads to different outcomes between laboratories.

Linking minimum inhibitory concentrations to whole genome sequence-predicted drug resistance in Mycobacterium tuberculosis strains from Romania.

Mycobacterium tuberculosis drug resistance poses a major threat to tuberculosis control. Current phenotypic tests for drug susceptibility are time-consuming, technically complex, and expensive. Whole genome sequencing is a promising alternative, though the impact of different drug resistance mutations on the minimum inhibitory concentration (MIC) remains to be investigated.