Previously undetected super-spreading of Mycobacterium tuberculosis revealed by deep sequencing

• Published in: eLife
• Main Authors: Robyn S Lee, Jean-François Proulx, Fiona McIntosh, Marcel A Behr, William P Hanage
• Format: Article in Journal/Newspaper
• Language: English
• Published: eLife Sciences Publications Ltd 2020
• Subjects: Tuberculosis; genomic epidemiology; within-host diversity; transmission; outbreaks; Medicine; R; Science; Q; Biology (General); QH301-705.5; Arctic; inuit
• Online Access: https://doi.org/10.7554/eLife.53245; https://doaj.org/article/b296c9effda045c6bc33bb447b5dfc58

Tuberculosis disproportionately affects the Canadian Inuit. To address this, it is imperative we understand transmission dynamics in this population. We investigate whether ‘deep’ sequencing can provide additional resolution compared to standard sequencing, using a well-characterized outbreak from the Arctic (2011–2012, 50 cases). Samples were sequenced to ~500–1000x and reads were aligned to a novel local reference genome generated with PacBio SMRT sequencing. Consensus and heterogeneous variants were identified and compared across genomes. In contrast with previous genomic analyses using ~50x depth, deep sequencing allowed us to identify a novel super-spreader who likely transmitted to up to 17 other cases during the outbreak (35% of the remaining cases that year). It is increasingly evident that within-host diversity should be incorporated into transmission analyses; deep sequencing may facilitate more accurate detection of super-spreaders and transmission clusters. This has implications not only for TB, but all genomic studies of transmission - regardless of pathogen.