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Area of Science:

  • Microbiology
  • Molecular Biology
  • Systems Biology

Background:

  • Gene expression is inherently stochastic, leading to cell variability.
  • Variations in mRNA and protein levels impact cellular function and fate.
  • Understanding gene expression noise is key to controlling cellular processes.

Purpose of the Study:

  • To quantify noise dynamics in an artificial operon in Escherichia coli.
  • To investigate the role of transcriptional and post-transcriptional regulation in controlling gene expression noise.
  • To explore the impact of global factors on operon noise.

Main Methods:

  • Utilized fluorescence time-lapse microscopy to monitor gene expression.
  • Constructed an artificial operon based on the native ColicinE2 operon in E. coli.
  • Introduced mutations affecting transcriptional and post-transcriptional regulation.

Main Results:

  • Post-transcriptionally regulated gene 'cel' exhibited higher noise than transcriptionally regulated gene 'cea'.
  • Mutations in transcriptional regulation (LexA repressor) had minimal impact on population noise.
  • Mutations in post-transcriptional units significantly altered noise levels for both genes.
  • Plasmid copy number influenced the overall gene expression noise of the operon.

Conclusions:

  • Post-transcriptional regulation plays a critical role in controlling gene expression noise.
  • Global factors like plasmid copy number can affect operon-wide gene expression noise.
  • Insights into noise control mechanisms in native toxin-producing operons were provided.