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Transcriptional regulator-induced phenotype screen reveals drug potentiators in Mycobacterium tuberculosis.

Shuyi Ma | Robert Morrison | Samuel J Hobbs | Vijay Soni | Jessica Farrow-Johnson | Andrew Frando | Neil Fleck | Christoph Grundner | Kyu Y Rhee | Tige R Rustad | David R Sherman
Nature microbiology | 2021

Transposon-based strategies provide a powerful and unbiased way to study the bacterial stress response1-8, but these approaches cannot fully capture the complexities of network-based behaviour. Here, we present a network-based genetic screening approach: the transcriptional regulator-induced phenotype (TRIP) screen, which we used to identify previously uncharacterized network adaptations of Mycobacterium tuberculosis to the first-line anti-tuberculosis drug isoniazid (INH). We found regulators that alter INH susceptibility when induced, several of which could not be identified by standard gene disruption approaches. We then focused on a specific regulator, mce3R, which potentiated INH activity when induced. We compared mce3R-regulated genes with baseline INH transcriptional responses and implicated the gene ctpD (Rv1469) as a putative INH effector. Evaluating a ctpD disruption mutant demonstrated a previously unknown role for this gene in INH susceptibility. Integrating TRIP screening with network information can uncover sophisticated molecular response programs.

Pubmed ID: 33199862

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Associated grants

  • Agency: NIAID NIH HHS, United States
    Id: T32 AI007509
  • Agency: NIAID NIH HHS, United States
    Id: U19 AI106761
  • Agency: NIAID NIH HHS, United States
    Id: U19 AI111276
  • Agency: NIAID NIH HHS, United States
    Id: U19 AI135976

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Bowtie (tool)

RRID:SCR_005476

Software ultrafast memory efficient tool for aligning sequencing reads. Bowtie is short read aligner.

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