4.8 Article

Synthetic robust perfect adaptation achieved by negative feedback coupling with linear weak positive feedback

Journal

NUCLEIC ACIDS RESEARCH
Volume 50, Issue 4, Pages 2377-2386

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkac066

Keywords

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Funding

  1. Ministry of Science and Technology of China [2020YFA0907101, 2021YFF1200500, 2018YFA0900700, 2015CB910300]
  2. Chinese Academy of Sciences [QYZDBSSW-SMC050, XDPB1801]
  3. Shenzhen Institute of Synthetic Biology [JCHZ20200005, DWKF20190009, JCYJ20180507182241844]
  4. Natural Science Foundation of China [32071412, 12090053, 32088101]
  5. Education Department of Shaanxi Provincial Government [19JK0574]
  6. Science and Technology Department of Shaanxi Provincial Government [2019JQ-317]

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Researchers successfully achieved stable performance of genetic circuits in the face of environmental perturbations by designing and synthesizing a new robust adaptation circuit. By systematically changing genetic parameters and environmental conditions, they found that the desired function was achieved under various circumstances. This study demonstrates the guiding significance of the top-down design strategy for engineering robust genetic circuits.
Unlike their natural counterparts, synthetic genetic circuits are usually fragile in the face of environmental perturbations and genetic mutations. Several theoretical robust genetic circuits have been designed, but their performance under real-world conditions has not yet been carefully evaluated. Here, we designed and synthesized a new robust perfect adaptation circuit composed of two-node negative feedback coupling with linear positive feedback on the buffer node. As a key feature, the linear positive feedback was fine-tuned to evaluate its necessity. We found that the desired function was robustly achieved when genetic parameters were varied by systematically perturbing all interacting parts within the topology, and the necessity of the completeness of the topological structures was evaluated by destroying key circuit features. Furthermore, different environmental perturbances were imposed onto the circuit by changing growth rates, carbon metabolic strategies and even chassis cells, and the designed perfect adaptation function was still achieved under all conditions. The successful design of a robust perfect adaptation circuit indicated that the top-down design strategy is capable of predictably guiding bottom-up engineering for robust genetic circuits. This robust adaptation circuit could be integrated as a motif into more complex circuits to robustly implement more sophisticated and critical biological functions.

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