Portable sequencing of Mycobacterium tuberculosis for clinical and epidemiological applications

• Published in: Briefings in bioinformatics Vol. 23; no. 5
• Main Authors: Gómez-González, Paula J, Campino, Susana, Phelan, Jody E, Clark, Taane G
• Format: Journal Article
• Language: English
• Published: Oxford Oxford University Press 20.09.2022; Oxford Publishing Limited (England)
• Subjects: Bioinformatics; Case Study; Clinical isolates; Data analysis; Decision making; Deoxyribonucleic acid; DNA; Drug resistance; Epidemiology; Gene sequencing; Genomes; Genomics; Infectious diseases; Mutation; Mycobacterium tuberculosis; Nucleotide sequence; Nucleotides; Portability; Single-nucleotide polymorphism; Tuberculosis; Whole genome sequencing; genomics; mutations; Mycobacterum tuberculosis; tuberculosis; sequencing
• ISSN: 1467-5463; 1477-4054
• DOI: 10.1093/bib/bbac256

Abstract With >1 million associated deaths in 2020, human tuberculosis (TB) caused by the bacteria Mycobacterium tuberculosis remains one of the deadliest infectious diseases. A plethora of genomic tools and bioinformatics pipelines have become available in recent years to assist the whole genome sequencing of M. tuberculosis. The Oxford Nanopore Technologies (ONT) portable sequencer is a promising platform for cost-effective application in clinics, including personalizing treatment through detection of drug resistance-associated mutations, or in the field, to assist epidemiological and transmission investigations. In this study, we performed a comparison of 10 clinical isolates with DNA sequenced on both long-read ONT and (gold standard) short-read Illumina HiSeq platforms. Our analysis demonstrates the robustness of the ONT variant calling for single nucleotide polymorphisms, despite the high error rate. Moreover, because of improved coverage in repetitive regions where short sequencing reads fail to align accurately, ONT data analysis can incorporate additional regions of the genome usually excluded (e.g. pe/ppe genes). The resulting extra resolution can improve the characterization of transmission clusters and dynamics based on inferring closely related isolates. High concordance in variants in loci associated with drug resistance supports its use for the rapid detection of resistant mutations. Overall, ONT sequencing is a promising tool for TB genomic investigations, particularly to inform clinical and surveillance decision-making to reduce the disease burden.