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Sigma Factor

Also known as: sigma subunit

A dissociable subunit of bacterial RNA polymerase that directs the holoenzyme to specific promoter sequences, enabling global transcriptional reprogramming.

Sigma Factor is a protein subunit that associates with the bacterial RNA polymerase core enzyme to form the holoenzyme, conferring specificity for particular promoter sequences and thus directing which genes are transcribed 1.

How It Works

Bacteria encode multiple sigma factors, each recognizing a distinct set of promoter motifs. The housekeeping sigma factor (sigma-70 in E. coli) drives expression of most growth-related genes by recognizing the canonical -10 and -35 promoter elements. Alternative sigma factors activate specialized gene programs: sigma-32 controls the heat shock response, sigma-54 manages nitrogen metabolism, and sigma-S governs stationary phase survival.

Sigma factor competition for a limited pool of core RNA polymerase creates a global regulatory mechanism. When a stress signal triggers accumulation of an alternative sigma factor, it displaces sigma-70 from a fraction of core enzymes, redirecting transcription toward stress-response genes. This competition model explains how cells can rapidly reprogram their transcriptome without altering individual promoter sequences.

In synthetic biology, sigma factors from divergent bacterial species serve as orthogonal transcription activators. An engineered extracytoplasmic function (ECF) sigma factor and its cognate promoter operate independently of the host transcription machinery, providing an insulated expression channel. Libraries of orthogonal sigma-anti-sigma pairs enable layered genetic circuit construction.

Computational Considerations

Crosstalk matrices quantifying sigma-promoter interactions across large ECF sigma libraries enable computational selection of non-cross-reacting pairs for circuit design 2. Thermodynamic models of sigma-core competition predict how expressing synthetic sigma factors will redistribute host RNA polymerase, helping designers avoid unintended host burden effects.


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Computational Angle

Computational promoter models incorporate sigma factor specificity to predict which genes are activated under different conditions, guiding the design of orthogonal transcription systems.

Related Terms

References

  1. Feklistov A, Sharon BD, Darst SA, Gross CA.. Bacterial sigma factors: a historical, structural, and genomic perspective . Annual Review of Microbiology (2014) DOI
  2. Rhodius VA, Segall-Shapiro TH, Sharon BD, et al.. Design of orthogonal genetic switches based on a crosstalk map of sigmas, anti-sigmas, and promoters . Molecular Systems Biology (2013) DOI