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High-throughput phenogenotyping of Mycobacteria tuberculosis clinical strains reveals bacterial determinants of treatment outcomes.

Title: High-throughput phenogenotyping of Mycobacteria tuberculosis clinical strains reveals bacterial determinants of treatment outcomes.
Authors: 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
Publisher Information: Cold Spring Harbor Laboratory
Publication Year: 2023
Collection: The University of Melbourne: Digital Repository
Description: BACKGROUND: Combatting the tuberculosis (TB) epidemic caused by Mycobacterium tuberculosis ( Mtb ) necessitates a better understanding of the factors contributing to patient clinical outcomes and transmission. While host and environmental factors have been evaluated, the impact of Mtb genetic background and phenotypic diversity is underexplored. Previous work has made associations between Mtb genetic lineages and some clinical and epidemiological features, but the bacterial traits underlying these connections are largely unknown. METHODS: We developed a high-throughput functional genomics platform for defining genotype-phenotype relationships across a panel of Mtb clinical isolates. These phenotypic fitness profiles function as intermediate traits which can be linked to Mtb genetic variants and associated with clinical and epidemiological outcomes. We applied this approach to a collection of 158 Mtb strains from a study of Mtb transmission in Ho Chi Minh City, Vietnam. Mtb strains were genetically tagged in multiplicate, which allowed us to pool the strains and assess in vitro competitive fitness using deep sequencing across a set of 14 host-relevant antibiotic and metabolic conditions. Phylogenetic and monogenic associations with these intermediate traits were identified and then associated with clinical outcomes. FINDINGS: Mtb clinical strains have a broad range of growth and drug response dynamics that can be clustered by their phylogenetic relationships. We identified novel monogenic associations with Mtb fitness in various metabolic and antibiotic conditions. Among these, we find that mutations in Rv1339 , a phosphodiesterase, which were identified through their association with slow growth in glycerol, are further associated with treatment failure. We also identify a previously uncharacterized subclade of Lineage 1 strains (L1.1.1.1) that is phenotypically distinguished by slow growth under most antibiotic and metabolic stress conditions in vitro . This clade is associated with cavitary disease, treatment ...
Document Type: article in journal/newspaper
Language: English
ISSN: 2692-8205
Relation: NHMRC/1056689; pii: 2023.04.09.536166; https://hdl.handle.net/11343/333236
Availability: https://hdl.handle.net/11343/333236
Accession Number: edsbas.31E3234A
Database: BASE