Rapid Identification of Drug-Resistant Tuberculosis Genes Using Direct PCR Amplification and Oxford Nanopore Technology Sequencing

• Published in: The Canadian journal of infectious diseases & medical microbiology Vol. 2022; pp. 7588033 - 8
• Main Authors: Zhao, Kaishun, Tu, Chunlin, Chen, Wei, Liang, Haiying, Zhang, Wenjing, Wang, Yilei, Jin, Ye, Hu, Jianrong, Sun, Yameng, Xu, Jun, Yu, Yanfang
• Format: Journal Article
• Language: English; French
• Published: Egypt Hindawi 2022; Hindawi Limited; Wiley
• Subjects: Accuracy; Antibiotics; Antimicrobial agents; Antimicrobial resistance; Binding sites; Bioinformatics; Data analysis; DNA polymerase; Drug resistance; Gene expression; Gene sequencing; Genomes; Genomics; Immune system; Infectious diseases; Laboratories; Phenotypes; Polymerase chain reaction; Public health; Software; Technology; Tuberculosis; Workflow; United States > US; China
• ISSN: 1712-9532; 1918-1493
• DOI: 10.1155/2022/7588033

Mycobacterium tuberculosis antimicrobial resistance has been continually reported and is a major public health issue worldwide. Rapid prediction of drug resistance is important for selecting appropriate antibiotic treatments, which significantly increases cure rates. Gene sequencing technology has proven to be a powerful strategy for identifying relevant drug resistance information. This study established a sequencing method and bioinformatics pipeline for resistance gene analysis using an Oxford Nanopore Technologies sequencer. The pipeline was validated by Sanger sequencing and exhibited 100% concordance with the identified variants. Turnaround time for the nanopore sequencing workflow was approximately 12 h, facilitating drug resistance prediction several weeks earlier than that of traditional phenotype drug susceptibility testing. This study produced a customized gene panel assay for rapid bacterial identification via nanopore sequencing, which improves the timeliness of tuberculosis diagnoses and provides a reliable method that may have clinical application.