Literature DB >> 35166832

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

Zhi Sun1,2, Weijia Wei3,2, Mingyue Zhang4,5, Wenjia Shi6, Yeqing Zong7, Yihua Chen3,2, Xiaojing Yang4, Bo Yu1, Chao Tang4,5, Chunbo Lou8,2.   

Abstract

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.
© The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2022        PMID: 35166832      PMCID: PMC8887471          DOI: 10.1093/nar/gkac066

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  47 in total

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