Topology-dependent interference of synthetic gene circuit function by growth feedback.


Journal

Nature chemical biology
ISSN: 1552-4469
Titre abrégé: Nat Chem Biol
Pays: United States
ID NLM: 101231976

Informations de publication

Date de publication:
06 2020
Historique:
received: 27 08 2019
accepted: 28 02 2020
pubmed: 7 4 2020
medline: 20 9 2020
entrez: 7 4 2020
Statut: ppublish

Résumé

Growth-mediated feedback between synthetic gene circuits and host organisms leads to diverse emerged behaviors, including growth bistability and enhanced ultrasensitivity. However, the range of possible impacts of growth feedback on gene circuits remains underexplored. Here we mathematically and experimentally demonstrated that growth feedback affects the functions of memory circuits in a network topology-dependent way. Specifically, the memory of the self-activation switch is quickly lost due to the growth-mediated dilution of the circuit products. Decoupling of growth feedback reveals its memory, manifested by its hysteresis property across a broad range of inducer concentration. On the contrary, the toggle switch is more refractory to growth-mediated dilution and can retrieve its memory after the fast-growth phase. The underlying principle lies in the different dependence of active and repressive regulations in these circuits on the growth-mediated dilution. Our results unveil the topology-dependent mechanism on how growth-mediated feedback influences the behaviors of gene circuits.

Identifiants

pubmed: 32251409
doi: 10.1038/s41589-020-0509-x
pii: 10.1038/s41589-020-0509-x
pmc: PMC7246135
mid: NIHMS1569849
doi:

Substances chimiques

Escherichia coli Proteins 0
Green Fluorescent Proteins 147336-22-9

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

695-701

Subventions

Organisme : NIGMS NIH HHS
ID : R01 GM106081
Pays : United States

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Auteurs

Rong Zhang (R)

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

Jiao Li (J)

School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA.
Department of Food Science and Nutrition, Zhejiang University, Hangzhou, Zhejiang, China.

Juan Melendez-Alvarez (J)

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

Xingwen Chen (X)

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

Patrick Sochor (P)

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

Hanah Goetz (H)

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

Qi Zhang (Q)

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

Tian Ding (T)

Department of Food Science and Nutrition, Zhejiang University, Hangzhou, Zhejiang, China.

Xiao Wang (X)

School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA. xiaowang@asu.edu.

Xiao-Jun Tian (XJ)

School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, USA. xiaojun.tian@asu.edu.

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