Abstract

The success of Mycobacterium tuberculosis (MTB) stems from its ability to remain hidden from the immune system within macrophages. Here, we report a new technology (Path‐seq) to sequence miniscule amounts of MTB transcripts within up to million‐fold excess host RNA. Using Path‐seq and regulatory network analyses, we have discovered a novel transcriptional program for in vivo mycobacterial cell wall remodeling when the pathogen infects alveolar macrophages in mice. We have discovered that MadR transcriptionally modulates two mycolic acid desaturases desA1/desA2 to initially promote cell wall remodeling upon in vitro macrophage infection and, subsequently, reduces mycolate biosynthesis upon entering dormancy. We demonstrate that disrupting MadR program is lethal to diverse mycobacteria making this evolutionarily conserved regulator a prime antitubercular target for both early and late stages of infection.

Highlights

  • Mycobacterium tuberculosis (MTB) infection occurs by inhalation of bacilli-containing aerosols

  • To assess enrichment of pathogen transcripts, we first used RNA isolated from murine bone marrow-derived macrophages (BMDMs) spiked with 0.1% MTB RNA

  • Essential for mycobacterial cell wall rigidity, make up a lipid-rich barrier in the mycobacterial cell envelope, they act as potent immunomodulators, driving the pathogenesis of MTB, primarily as part of the cord factor

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Summary

Introduction

Mycobacterium tuberculosis (MTB) infection occurs by inhalation of bacilli-containing aerosols. Alveolar macrophages, which line the airway, are the first host cells to phagocytize the bacteria. This initial contact of MTB with alveolar macrophages begins a complex battle between bacterial virulence and host immunity, orchestrated in large part by intricate gene regulatory pathways (Galan & WolfWatz, 2006; Medzhitov, 2007). RNA-seq provides a sensitive method for global gene expression analysis. Specific for infection biology, dual RNA-seq methods have allowed simultaneous profiling of host and pathogen RNA. It is clear that more sensitive approaches are needed to profile the transcriptional state of the pathogen during infection, especially in vivo

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