ArticlemBio2014
Global adaptation to a lipid environment triggers the dormancy-related phenotype of Mycobacterium tuberculosis.
Article in mBio, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 67 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
67 citing papers in PubMed, 112 citations in OpenAlex.
- Direct bacterial transcript visualization illuminates spatiotemporal environmental adaptation ofScience advances · 2026Article
- Beyond adaptive immunity: Functional diversity of the type III-A CRISPR-Cas system inCell insight · 2026Review
- Activation of the antibiotic resistance factor WhiB7 can stimulate aggregate biofilm formation in stationary phaseJournal of bacteriology · 2026Article
- Immortal genome assumption significantly underestimates replication and death rates ofMicrobiology spectrum · 2026Article
- Immortal genome assumption significantly underestimates replication and death rates ofbioRxiv : the preprint server for biology · 2026Article
- Mycobacterium tuberculosis long-chain fatty acid resistome reveals universal stress protein TB15.3 as essential for infection.Communications biology · 2026Article
- Orn-mediated c-di-GMP regulates the CRISPR-Cas system to confer stress response in Mycobacterium tuberculosis.Nucleic acids research · 2026Article
- Exploring the Protein Landscape of Dormant Mycobacterium tuberculosis Through In Vitro Functional Studies.Advances in experimental medicine and biology · 2026Review
- Article
- Has-miR-30c-1-3p inhibits macrophage autophagy and promotes Mycobacterium tuberculosis survival by targeting ATG4B and ATG9B.Scientific reports · 2025Article
- Novel Populations ofMicroorganisms · 2024Article
- Regulatory role ofFrontiers in microbiology · 2024Article
- Intrabacterial lipid inclusion-associated proteins: a core machinery conserved from saprophyte Actinobacteria to the human pathogen Mycobacterium tuberculosis.FEBS open bio · 2023Article
- Revolutionizing control strategies against Mycobacterium tuberculosis infection through selected targeting of lipid metabolism.Cellular and molecular life sciences : CMLS · 2023Review
- The future of CRISPR in Mycobacterium tuberculosis infection.Journal of biomedical science · 2023Review
- Article
- Regulatory and structural mechanisms of PvrA-mediated regulation of the PQS quorum-sensing system and PHA biosynthesis in Pseudomonas aeruginosa.Nucleic acids research · 2023Article
- Clinical strains of Mycobacterium tuberculosis exhibit differential lipid metabolism-associated transcriptome changes in in vitro cholesterol and infection models.Pathogens and disease · 2023Article
- Mycobacterium tuberculosis whiB3 and Lipid Metabolism Genes Are Regulated by Host Induced Oxidative StressMicroorganisms · 2022Article
- Deciphering the Proteomic Landscape ofACS omega · 2022Article
7 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
11 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
unlabelledStrong evidence supports the idea that fatty acids rather than carbohydrates are the main energy source of Mycobacterium tuberculosis during infection and latency. Despite that important role, a complete scenario of the bacterium's metabolism when lipids are the main energy source is still lacking. Here we report the development of an in vitro model to analyze adaptation of M. tuberculosis during assimilation of long-chain fatty acids as sole carbon sources. The global lipid transcriptome revealed a shift toward the glyoxylate cycle, the overexpression of main regulators whiB3, dosR, and Rv0081, and the increased expression of several genes related to reductive stress. Our evidence showed that lipid storage seems to be the selected mechanism used by M. tuberculosis to ameliorate the assumed damage of reductive stress and that concomitantly the bacilli acquired a slowed-growth and drug-tolerant phenotype, all characteristics previously associated with the dormant stage. Additionally, intergenic regions were also detected, including the unexpected upregulation of tRNAs that suggest a new role for these molecules in the acquisition of a drug-tolerant phenotype by dormant bacilli. Finally, a set of lipid signature genes for the adaptation process was also identified. This in vitro model represents a suitable condition to illustrate the participation of reductive stress in drugs' activity against dormant bacilli, an aspect scarcely investigated to date. This approach provides a new perspective to the understanding of latent infection and suggests the participation of previously undetected molecules. IMPORTANCE: Mycobacterium tuberculosis establishes long-lasting highly prevalent infection inside the human body, called latent tuberculosis. The known involvement of fatty acids is changing our understanding of that silent infection; however, question of how tubercle bacilli globally adapt to a lipid-enriched environment is still an unanswered. With the single change of providing fatty acids as carbon sources, the bacilli switch on their program related to dormant stage: slowed growth, accumulation of lipid bodies, and development of drug tolerance. In this stage, unexpected and previously unknown participants were found to play putatively important roles during the process. For the first time, this work compares the global transcriptomics of bacteria by using strand-specific RNA sequencing under two different growth conditions. This study suggests novel targets for the control of tuberculosis and provides a new straightforward in vitro model that could help to test the activity of drugs against dormant bacilli from a novel perspective.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.