In-vivo identification and control of aerotaxis in Bacillus subtilis

Filippo Menolascina, Roman Stocker, Eduardo D. Sontag

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Problems of identification and control of biological systems have recently attracted an increasing amount of attention. Most work in this field has classically focused either on gene or protein networks. In this manuscript, we focus on the control of a behavioral trait emerging from a signaling network: aerotaxis, the directed motion of bacteria towards (or away from) oxygen. To do so, we consider a bacterium, Bacillus subtilis, which is strongly attracted by oxygen, and we quantitatively probe the dynamics of accumulation of populations of this microorganism when exposed to tightly controlled gradients of oxygen generated in a microfluidic device. Combining in-vivo experiments with system identification methods, we determine a simple model of aerotaxis in B. subtilis, and we subsequently employ this model in order to compute the sequence of oxygen gradients needed to achieve regulation of the center of mass of the bacterial population. We then successfully validate both the model and the control scheme, by showing that in-vivo positioning control can be achieved via the application of the precomputed inputs in an open-loop configuration.

Original languageEnglish (US)
Title of host publication2016 IEEE 55th Conference on Decision and Control, CDC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages764-769
Number of pages6
ISBN (Electronic)9781509018376
DOIs
StatePublished - Dec 27 2016
Event55th IEEE Conference on Decision and Control, CDC 2016 - Las Vegas, United States
Duration: Dec 12 2016Dec 14 2016

Publication series

Name2016 IEEE 55th Conference on Decision and Control, CDC 2016

Other

Other55th IEEE Conference on Decision and Control, CDC 2016
CountryUnited States
CityLas Vegas
Period12/12/1612/14/16

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Decision Sciences (miscellaneous)
  • Control and Optimization

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