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FIBS-enabled Noninvasive Metabolic Profiling
Published on: February 3, 2014
Systems-wide temporal proteomic profiling in glucose-starved Bacillus subtilis
Andreas Otto1, Jörg Bernhardt, Hanna Meyer
1Ernst-Moritz-Arndt-Universität Greifswald, Institute for Microbiology, Greifswald 17487, Germany.
Nature Communications
|January 27, 2011
Summary
This study tracked changes in Bacillus subtilis
Area of Science:
- Microbiology and Molecular Biology
- Systems Biology
- Bacterial Physiology
Background:
- Bacillus subtilis is a key Gram-positive model organism for studying bacterial cell physiology.
- Understanding cellular responses to nutrient limitation is crucial for basic science and biotechnology.
Purpose of the Study:
- To comprehensively profile temporal changes in the proteome, transcriptome, and extracellular metabolome of B. subtilis during glucose starvation.
- To investigate the fate of gene products and major physiological processes, including protein degradation, in the stationary phase.
Main Methods:
- Utilized in vivo metabolic labeling and shotgun mass spectrometry for quantitative proteomic analysis across five subfractions (cytosolic, integral membrane, membrane, surface, extracellular).
- Analyzed ~52% of the predicted B. subtilis proteome.
- Integrated quantitative proteomic and transcriptomic data using Voronoi treemaps for functional classification and expression analysis.
Main Results:
- Detailed profiling of changes in the membrane proteome subfraction during glucose starvation.
- Identification of ~52% of the B. subtilis proteome, providing a broad quantitative overview.
- Linked gene product expression changes to functional classifications and their roles in stationary phase adaptation.
Conclusions:
- Glucose starvation induces significant temporal changes across the proteome, transcriptome, and extracellular metabolome of B. subtilis.
- The study provides the first comprehensive analysis of membrane proteome dynamics under starvation.
- Integrated multi-omics data offer deep insights into bacterial adaptation strategies and protein turnover.

