Majority sensing in synthetic microbial consortia.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
21 07 2020
Historique:
received: 10 02 2020
accepted: 25 06 2020
entrez: 23 7 2020
pubmed: 23 7 2020
medline: 10 9 2020
Statut: epublish

Résumé

As synthetic biocircuits become more complex, distributing computations within multi-strain microbial consortia becomes increasingly beneficial. However, designing distributed circuits that respond predictably to variation in consortium composition remains a challenge. Here we develop a two-strain gene circuit that senses and responds to which strain is in the majority. This involves a co-repressive system in which each strain produces a signaling molecule that signals the other strain to down-regulate production of its own, orthogonal signaling molecule. This co-repressive consortium links gene expression to ratio of the strains rather than population size. Further, we control the cross-over point for majority via external induction. We elucidate the mechanisms driving these dynamics by developing a mathematical model that captures consortia response as strain fractions and external induction are varied. These results show that simple gene circuits can be used within multicellular synthetic systems to sense and respond to the state of the population.

Identifiants

pubmed: 32694598
doi: 10.1038/s41467-020-17475-z
pii: 10.1038/s41467-020-17475-z
pmc: PMC7374166
doi:

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

3659

Subventions

Organisme : NIGMS NIH HHS
ID : R01 GM117138
Pays : United States

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Auteurs

Razan N Alnahhas (RN)

Department of Biosciences, Rice University, Houston, TX, USA.

Mehdi Sadeghpour (M)

Department of Biosciences, Rice University, Houston, TX, USA.
Department of Mathematics, University of Houston, Houston, TX, USA.

Ye Chen (Y)

CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.

Alexis A Frey (AA)

Department of Biosciences, Rice University, Houston, TX, USA.

William Ott (W)

Department of Mathematics, University of Houston, Houston, TX, USA.

Krešimir Josić (K)

Department of Mathematics, University of Houston, Houston, TX, USA.
Department of Biology and Biochemistry, University of Houston, Houston, TX, USA.

Matthew R Bennett (MR)

Department of Biosciences, Rice University, Houston, TX, USA. matthew.bennett@rice.edu.
Department of Bioengineering, Rice University, Houston, TX, USA. matthew.bennett@rice.edu.

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