Use Of Whole Genome Sequencing To Determine The Microevolution Of Mycobacterium Tuberculosis During An Outbreak

PLOS ONE(2013)

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摘要
Rationale: Current tools available to study the molecular epidemiology of tuberculosis do not provide information about the directionality and sequence of transmission for tuberculosis cases occurring over a short period of time, such as during an outbreak. Recently, whole genome sequencing has been used to study molecular epidemiology of Mycobacterium tuberculosis over short time periods.Objective: To describe the microevolution of M. tuberculosis during an outbreak caused by one drug-susceptible strain.Method and Measurements: We included 9 patients with tuberculosis diagnosed during a period of 22 months, from a population-based study of the molecular epidemiology in San Francisco. Whole genome sequencing was performed using Illumina's sequencing by synthesis technology. A custom program written in Python was used to determine single nucleotide polymorphisms which were confirmed by PCR product Sanger sequencing.Main results: We obtained an average of 95.7% (94.1-96.9%) coverage for each isolate and an average fold read depth of 73 (1 to 250). We found 7 single nucleotide polymorphisms among the 9 isolates. The single nucleotide polymorphisms data confirmed all except one known epidemiological link. The outbreak strain resulted in 5 bacterial variants originating from the index case A1 with 0-2 mutations per transmission event that resulted in a secondary case.Conclusions: Whole genome sequencing analysis from a recent outbreak of tuberculosis enabled us to identify microevolutionary events observable during transmission, to determine 0-2 single nucleotide polymorphisms per transmission event that resulted in a secondary case, and to identify new epidemiologic links in the chain of transmission.
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关键词
evolutionary biology,genotype,genome evolution,molecular epidemiology,epidemiology,computational biology,biology,microevolution,polymerase chain reaction,microbiology,bacteriology,young adult,phylogeny,genomics,medicine,mutation
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