ArticleEnvironmental microbiology2015
Dynamic exometabolome analysis reveals active metabolic pathways in non-replicating mycobacteria.
Article in Environmental microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed, 36 citations in OpenAlex.
- The media composition as a crucial element in high-throughput metabolic network reconstruction.Interface focus · 2023Article
- Genome-scale metabolic modeling in antimicrobial pharmacology.Engineering microbiology · 2022Review
- Understanding the contribution of metabolism toFrontiers in cellular and infection microbiology · 2022Review
- Article
- Addressing uncertainty in genome-scale metabolic model reconstruction and analysis.Genome biology · 2021Review
- Metabolic Versatility ofMetabolites · 2021Review
- Metabolic cooperation and spatiotemporal niche partitioning in a kefir microbial community.Nature microbiology · 2021Article
- Recent Developments in the Application of Flow Cytometry to Advance our Understanding of Mycobacterium tuberculosis Physiology and Pathogenesis.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2020Review
- Metabolic profiling of dormant Mycolicibacterium smegmatis cells' reactivation reveals a gradual assembly of metabolic processes.Metabolomics : Official journal of the Metabolomic Society · 2020Article
- One-Year Old Dormant, "Non-culturable"Frontiers in cellular and infection microbiology · 2020Article
- Regulatory mechanisms underlying coordination of amino acid and glucose catabolism in Escherichia coli.Nature communications · 2019Article
- Chemical disarming of isoniazid resistance inProceedings of the National Academy of Sciences of the United States of America · 2019Article
- Protein Composition ofFrontiers in microbiology · 2018Article
- Article
- PknG senses amino acid availability to control metabolism and virulence of Mycobacterium tuberculosis.PLoS pathogens · 2017Article
- The bacillary and macrophage response to hypoxia in tuberculosis and the consequences for T cell antigen recognition.Microbes and infection · 2017Review
- The physiology of growth arrest: uniting molecular and environmental microbiology.Nature reviews. Microbiology · 2016Review
- Multiscale Model of Mycobacterium tuberculosis Infection Maps Metabolite and Gene Perturbations to Granuloma Sterilization Predictions.Infection and immunity · 2016Article
- Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
An organism's metabolic activity leaves an extracellular footprint and dynamic changes in this exometabolome inform about nutrient uptake, waste disposal and signalling activities. Using non-targeted mass spectrometry, we report exometabolome dynamics of hypoxia-induced, non-replicating mycobacteria that are thought to play a role in latent tuberculosis. Despite evidence of active metabolism, little is known about the mechanisms enabling obligate aerobic mycobacteria to cope with hypoxia, resulting in long-term survival and increased chemotherapeutic tolerance. The dynamics of 379 extracellular compounds of Mycobacterium smegmatis were deconvoluted with a genome-scale metabolic reaction-pair network to generate hypotheses about intracellular pathway usage. Time-resolved (13) C-tracing and mutant experiments then demonstrated a crucial, energy-generating role of asparagine utilization and non-generic usage of the glyoxylate shunt for hypoxic fitness. Experiments with M. bovis and M. tuberculosis revealed the general relevance of asparagine fermentation and a variable contribution of the glyoxylate shunt to non-replicative, hypoxic survival between the three species.
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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.