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Recombineering Homologous Recombination Constructs in Drosophila
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From Negative Feedback to Integrated Control: Recombinase-Based Strategies for Mitigating Resource Competition.

Rixin Zhang1, Rong Zhang1, Xiao-Jun Tian2

  • 1School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.

Methods in Molecular Biology (Clifton, N.J.)
|July 8, 2026
PubMed
Summary

Synthetic biology faces challenges with gene module interference. Recombinase-based controllers (Re-NF and Re-NF-FF) were developed to enhance genetic system robustness and predictability by managing resource competition.

Keywords:
Circuit modularityGene circuit designPromoter flippingResource controllerResource decoupling

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Area of Science:

  • Synthetic Biology
  • Genetic Engineering
  • Molecular Biology

Background:

  • Resource competition between independently designed gene modules in host cells causes unintended interference.
  • This interference disrupts circuit modularity and reduces the reliability of synthetic genetic systems.
  • Developing strategies to mitigate interference is crucial for advancing synthetic biology.

Purpose of the Study:

  • To discuss the development of recombinase-based control strategies to address interference in synthetic biology.
  • To introduce the Re-NF controller for stabilizing module performance via negative feedback.
  • To present the Re-NF-FF controller integrating negative feedback and feedforward regulation for improved resource allocation and predictability.

Main Methods:

  • Utilizing recombinase-mediated promoter flipping for feedback and feedforward regulation.
  • Designing a negative feedback (Re-NF) controller to adjust circuit activity based on resource usage.
  • Developing an integrated negative feedback and feedforward (Re-NF-FF) controller using a single recombinase-mediated promoter flip.

Main Results:

  • The Re-NF controller stabilizes module performance under fluctuating cellular conditions.
  • The Re-NF-FF controller effectively balances resource allocation and reduces crosstalk between genetic modules.
  • Both controllers demonstrate improved predictability in diverse circuit contexts.

Conclusions:

  • Recombinase-based regulation offers a powerful approach to enhance robustness, predictability, and modularity in synthetic genetic systems.
  • The Re-NF and Re-NF-FF controllers provide practical solutions for mitigating resource competition and interference.
  • These strategies advance the engineering of reliable and predictable genetic circuits for synthetic biology applications.