Literature DB >> 31217585

A universal biomolecular integral feedback controller for robust perfect adaptation.

Stephanie K Aoki1, Gabriele Lillacci1, Ankit Gupta1, Armin Baumschlager1, David Schweingruber1, Mustafa Khammash2.   

Abstract

Homeostasis is a recurring theme in biology that ensures that regulated variables robustly-and in some systems, completely-adapt to environmental perturbations. This robust perfect adaptation feature is achieved in natural circuits by using integral control, a negative feedback strategy that performs mathematical integration to achieve structurally robust regulation1,2. Despite its benefits, the synthetic realization of integral feedback in living cells has remained elusive owing to the complexity of the required biological computations. Here we prove mathematically that there is a single fundamental biomolecular controller topology3 that realizes integral feedback and achieves robust perfect adaptation in arbitrary intracellular networks with noisy dynamics. This adaptation property is guaranteed both for the population-average and for the time-average of single cells. On the basis of this concept, we genetically engineer a synthetic integral feedback controller in living cells4 and demonstrate its tunability and adaptation properties. A growth-rate control application in Escherichia coli shows the intrinsic capacity of our integral controller to deliver robustness and highlights its potential use as a versatile controller for regulation of biological variables in uncertain networks. Our results provide conceptual and practical tools in the area of cybergenetics3,5, for engineering synthetic controllers that steer the dynamics of living systems3-9.

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Year:  2019        PMID: 31217585     DOI: 10.1038/s41586-019-1321-1

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  46 in total

Review 1.  Qualitative Modeling, Analysis and Control of Synthetic Regulatory Circuits.

Authors:  Madalena Chaves; Hidde de Jong
Journal:  Methods Mol Biol       Date:  2021

2.  How to Build a Biological Machine Using Engineering Materials and Methods.

Authors:  Alex Ellery
Journal:  Biomimetics (Basel)       Date:  2020-07-26

3.  Using Models to (Re-)Design Synthetic Circuits.

Authors:  Giselle McCallum; Laurent Potvin-Trottier
Journal:  Methods Mol Biol       Date:  2021

4.  Infinitesimal homeostasis in three-node input-output networks.

Authors:  Martin Golubitsky; Yangyang Wang
Journal:  J Math Biol       Date:  2020-01-09       Impact factor: 2.259

5.  Absolutely robust controllers for chemical reaction networks.

Authors:  Jinsu Kim; German Enciso
Journal:  J R Soc Interface       Date:  2020-05-13       Impact factor: 4.118

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

Authors:  Zhi Sun; Weijia Wei; Mingyue Zhang; Wenjia Shi; Yeqing Zong; Yihua Chen; Xiaojing Yang; Bo Yu; Chao Tang; Chunbo Lou
Journal:  Nucleic Acids Res       Date:  2022-02-28       Impact factor: 16.971

Review 7.  Mathematical Modelling in Plant Synthetic Biology.

Authors:  Anna Deneer; Christian Fleck
Journal:  Methods Mol Biol       Date:  2022

Review 8.  Programmable protein circuit design.

Authors:  Zibo Chen; Michael B Elowitz
Journal:  Cell       Date:  2021-04-12       Impact factor: 41.582

9.  Synthetic neural-like computing in microbial consortia for pattern recognition.

Authors:  Ximing Li; Luna Rizik; Valeriia Kravchik; Maria Khoury; Netanel Korin; Ramez Daniel
Journal:  Nat Commun       Date:  2021-05-25       Impact factor: 14.919

Review 10.  Towards an engineering theory of evolution.

Authors:  Simeon D Castle; Claire S Grierson; Thomas E Gorochowski
Journal:  Nat Commun       Date:  2021-06-07       Impact factor: 14.919

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