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Gene expression profile of Mycobacterium tuberculosis in a non-replicating state

  • D. G.Niranjala Muttucumaru
  • , Gretta Roberts
  • , Jason Hinds
  • , Richard A. Stabler
  • , Tanya Parish
  • Queen Mary University of London
  • City St George's, University of London

Research output: Contribution to journalArticlepeer-review

192 Citations (Scopus)

Abstract

Mycobacterium tuberculosis is able to persist in the human host for decades in an apparently dormant state where it is presumed to reside in an hypoxic environment. This can be mimicked by the Wayne culture model in which progressive oxygen depletion causes the bacteria to shift into a non-replicating state. We investigated global gene expression in aerobic (roller), microaerophilic (NRP1) and anaerobic (NRP2) cultures. A number of genes were significantly up-regulated as compared to aerobic culture; 178 in NRP1, 210 in NRP2, 88 in both. The two states showed distinct gene expression profiles, although a number of membrane and transmembrane proteins were induced in both conditions. A number of regulatory proteins were up-regulated in NRP2. Glycine dehydrogenase, nitrate reductase and alpha-crystallin were induced in both stages, as were fatty acid metabolism genes including fadD26 and mas and genes of the DosR regulon. In a comparison with other stress conditions, there were more similarities between anaerobic conditions and carbon starvation or heat shock than between microaerophilic conditions and carbon starvation or heat shock, but as expected microaerophilic and anaerobic conditions showed the most similar profile. Our results indicate that a large number of genes are up-regulated during the shift into the persistent state.

Original languageEnglish
Pages (from-to)239-246
Number of pages8
JournalTuberculosis
Volume84
Issue number3-4
DOIs
Publication statusPublished - 21 Apr 2004
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Carbon starvation
  • Gene expression
  • Hypoxia
  • Microarray
  • Wayne model

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