1. Identification of bacterial determinants of tuberculosis infection and treatment outcomes: a phenogenomic analysis of clinical strains.
- Author
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Stanley, S, Spaulding, CN, Liu, Q, Chase, MR, Ha, DTM, Thai, PVK, Lan, NH, Thu, DDA, Quang, NL, Brown, J, Hicks, ND, Wang, X, Marin, M, Howard, NC, Vickers, AJ, Karpinski, WM, Chao, MC, Farhat, MR, Caws, M, Dunstan, SJ, Thuong, NTT, Fortune, SM, Stanley, S, Spaulding, CN, Liu, Q, Chase, MR, Ha, DTM, Thai, PVK, Lan, NH, Thu, DDA, Quang, NL, Brown, J, Hicks, ND, Wang, X, Marin, M, Howard, NC, Vickers, AJ, Karpinski, WM, Chao, MC, Farhat, MR, Caws, M, Dunstan, SJ, Thuong, NTT, and Fortune, SM
- Abstract
BACKGROUND: Bacterial diversity could contribute to the diversity of tuberculosis infection and treatment outcomes observed clinically, but the biological basis of this association is poorly understood. The aim of this study was to identify associations between phenogenomic variation in Mycobacterium tuberculosis and tuberculosis clinical features. METHODS: We developed a high-throughput platform to define phenotype-genotype relationships in M tuberculosis clinical isolates, which we tested on a set of 158 drug-sensitive M tuberculosis strains sampled from a large tuberculosis clinical study in Ho Chi Minh City, Viet Nam. We tagged the strains with unique genetic barcodes in multiplicate, allowing us to pool the strains for in-vitro competitive fitness assays across 16 host-relevant antibiotic and metabolic conditions. Relative fitness was quantified by deep sequencing, enumerating output barcode read counts relative to input normalised values. We performed a genome-wide association study to identify phylogenetically linked and monogenic mutations associated with the in-vitro fitness phenotypes. These genetic determinants were further associated with relevant clinical outcomes (cavitary disease and treatment failure) by calculating odds ratios (ORs) with binomial logistic regressions. We also assessed the population-level transmission of strains associated with cavitary disease and treatment failure using terminal branch length analysis of the phylogenetic data. FINDINGS: M tuberculosis clinical strains had diverse growth characteristics in host-like metabolic and drug conditions. These fitness phenotypes were highly heritable, and we identified monogenic and phylogenetically linked variants associated with the fitness phenotypes. These data enabled us to define two genetic features that were associated with clinical outcomes. First, mutations in Rv1339, a phosphodiesterase, which were associated with slow growth in glycerol, were further associated with treatment f
- Published
- 2024