Shaping bacterial population behavior through computer-interfaced control of individual cells

Abstract : Bacteria in groups vary individually, and interact with other bacteria and the environment to produce population-level patterns of gene expression. Investigating such behavior in detail requires measuring and controlling populations at the single-cell level alongside precisely specified interactions and environmental characteristics. Here we present an automated, programmable platform that combines image-based gene expression and growth measurements with on-line optogenetic expression control for hundreds of individual Escherichia coli cells over days, in a dynamically adjustable environment. This integrated platform broadly enables experiments that bridge individual and population behaviors. We demonstrate: (i) population structuring by independent closed-loop control of gene expression in many individual cells, (ii) cell–cell variation control during antibiotic perturbation, (iii) hybrid bio-digital circuits in single cells, and freely specifiable digital communication between individual bacteria. These examples showcase the potential for real-time integration of theoretical models with measurement and control of many individual cells to investigate and engineer microbial population behavior.
Complete list of metadatas

Cited literature [55 references]  Display  Hide  Download

https://hal.inria.fr/hal-01669883
Contributor : Gregory Batt <>
Submitted on : Thursday, December 21, 2017 - 5:10:26 AM
Last modification on : Thursday, February 7, 2019 - 5:54:12 PM

File

s41467-017-01683-1.pdf
Publisher files allowed on an open archive

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Collections

Citation

Remy Chait, Jakob Ruess, Tobias Bergmiller, Gašper Tkačik, Călin Guet. Shaping bacterial population behavior through computer-interfaced control of individual cells. Nature Communications, Nature Publishing Group, 2017, 8 (1), pp.1535. ⟨10.1038/s41467-017-01683-1⟩. ⟨hal-01669883⟩

Share

Metrics

Record views

546

Files downloads

216