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Microb Genom ; 4(7)2018 07.
Artigo em Inglês | MEDLINE | ID: mdl-29906261

RESUMO

A better understanding of the genomic changes that facilitate the emergence and spread of drug-resistant Mycobacterium tuberculosis strains is currently required. Here, we report the use of the MinION nanopore sequencer (Oxford Nanopore Technologies) to sequence and assemble an extensively drug-resistant (XDR) isolate, which is part of a modern Beijing sub-lineage strain, prevalent in Western Province, Papua New Guinea. Using 238-fold coverage obtained from a single flow-cell, de novo assembly of nanopore reads resulted into one contiguous assembly with 99.92 % assembly accuracy. Incorporation of complementary short read sequences (Illumina) as part of consensus error correction resulted in a 4 404 064 bp genome with 99.98 % assembly accuracy. This assembly had an average nucleotide identity of 99.7 % relative to the reference genome, H37Rv. We assembled nearly all GC-rich repetitive PE/PPE family genes (166/168) and identified variants within these genes. With an estimated genotypic error rate of 5.3 % from MinION data, we demonstrated identification of variants to include the conventional drug resistance mutations, and those that contribute to the resistance phenotype (efflux pumps/transporter) and virulence. Reference-based alignment of the assembly allowed detection of deletions and insertions. MinION sequencing provided a fully annotated assembly of a transmissible XDR strain from an endemic setting and showed its utility to provide further understanding of genomic processes within Mycobacterium tuberculosis.


Assuntos
Surtos de Doenças , Farmacorresistência Bacteriana/genética , Genômica/métodos , Mycobacterium tuberculosis/genética , Nanoporos , Sequências Repetitivas de Ácido Nucleico , Tuberculose Resistente a Múltiplos Medicamentos/epidemiologia , Sequência Rica em At , Sequência Rica em GC , Genes MDR , Genoma Bacteriano , Humanos , Papua Nova Guiné/epidemiologia , Polimorfismo de Nucleotídeo Único , Sequenciamento Completo do Genoma
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