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Published on: January 18, 2014
Noise in gene expression determines cell fate in Bacillus subtilis
Hédia Maamar1, Arjun Raj, David Dubnau
1Public Health Research Institute Center, New Jersey Medical School, 225 Warren Street, Newark, NJ 07103, USA.
Cell-to-cell gene expression variations, or noise, drive transitions to competence in Bacillus subtilis. Reducing this noise decreases competent cells, showing noise
Area of Science:
- Microbiology
- Systems Biology
- Genetics
Background:
- Cellular processes exhibit random gene expression variations (noise) within isogenic populations, potentially influencing state transitions.
- The role of noise in natural biological systems, particularly in regulating gene expression dynamics, remains largely unexplored.
- In Bacillus subtilis, noise in ComK (competence regulatory protein) is hypothesized to drive transitions to the competent state for DNA uptake.
Purpose of the Study:
- To investigate the impact of noise in comK expression on cellular transitions to competence in Bacillus subtilis.
- To determine if experimental manipulation of noise levels affects the frequency of competent cells.
- To elucidate the temporal regulation mechanisms governing stochastic transitions to competence.
Main Methods:
- Quantification and manipulation of noise in comK gene expression in Bacillus subtilis.
- Experimental reduction of comK expression noise.
- Analysis of temporal dynamics of comK transcription and competence transitions.
Main Results:
- Noise in comK expression actively selects for cells transitioning to competence.
- Experimental reduction of comK expression noise significantly decreased the proportion of competent cells.
- Stochastic transitions to competence are temporally restricted by decreased comK transcription.
Conclusions:
- Noise in gene expression plays a crucial role in regulating stochastic cellular state transitions in natural systems.
- The characteristics of noise are subject to evolutionary pressures, optimizing cellular functions like competence.
- Understanding noise dynamics provides insights into the regulation of gene expression and cellular differentiation.
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