Abstract

Once considered a phenotypically monomorphic bacterium, there is a growing body of work demonstrating heterogeneity among Mycobacterium tuberculosis (Mtb) strains in clinically relevant characteristics, including virulence and response to antibiotics. However, the genetic and molecular basis for most phenotypic differences among Mtb strains remains unknown. To investigate the basis of strain variation in Mtb, we performed genome-wide transposon mutagenesis coupled with next-generation sequencing (TnSeq) for a panel of Mtb clinical isolates and the reference strain H37Rv to compare genetic requirements for in vitro growth across these strains. We developed an analytic approach to identify quantitative differences in genetic requirements between these genetically diverse strains, which vary in genomic structure and gene content. Using this methodology, we found differences between strains in their requirements for genes involved in fundamental cellular processes, including redox homeostasis and central carbon metabolism. Among the genes with differential requirements were katG, which encodes the activator of the first-line antitubercular agent isoniazid, and glcB, which encodes malate synthase, the target of a novel small-molecule inhibitor. Differences among strains in their requirement for katG and glcB predicted differences in their response to these antimicrobial agents. Importantly, these strain-specific differences in antibiotic response could not be predicted by genetic variants identified through whole genome sequencing or by gene expression analysis. Our results provide novel insight into the basis of variation among Mtb strains and demonstrate that TnSeq is a scalable method to predict clinically important phenotypic differences among Mtb strains.

Highlights

  • A hallmark of infection with Mycobacterium tuberculosis (Mtb) is the high degree of variability in disease course and response to therapy

  • We applied a functional genomics technique called transposon mutagenesis coupled with next-generation sequencing (TnSeq) to a panel of Mtb clinical strains to investigate the genetic basis of strain diversity

  • We identified a number of genes that are differentially required for growth in culture among these strains. Some of these genes are involved in the response to antibiotics, including the first-line antitubercular agent isoniazid and a novel antitubercular drug currently in development

Read more

Summary

Introduction

A hallmark of infection with Mycobacterium tuberculosis (Mtb) is the high degree of variability in disease course and response to therapy. The field’s ability to predict phenotype from genotype is most well developed for resistances to clinically important first and second line drugs, where large population-based studies have been successful in identifying genetic determinants of antibiotic resistance [6,8,11,12,13]. Extending such analyses to predict responses to new antibiotics or to predicting more complex phenotypes such as virulence remains difficult. There is a need for systematic and high-throughput methods to predict phenotypic variation among Mtb strains, especially for clinically relevant phenotypes such as antibiotic susceptibility, likelihood of drug resistance, and virulence

Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call