Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

A framework for engineering stress resilient plants using genetic feedback control and regulatory network rewiring

Tools
- Tools
+ Tools

Foo, Mathias, Gherman, Iulia, Zhang, Peijun, Bates, Declan G. and Denby, Katherine J. (2018) A framework for engineering stress resilient plants using genetic feedback control and regulatory network rewiring. ACS Synthetic Biology . doi:10.1021/acssynbio.8b00037

Research output not available from this repository, contact author.
Official URL: https://doi.org/10.1021/acssynbio.8b00037

Request Changes to record.

Abstract

Crop disease leads to significant waste worldwide, both pre- and postharvest, with subsequent economic and sustainability consequences. Disease outcome is determined both by the plants’ response to the pathogen and by the ability of the pathogen to suppress defense responses and manipulate the plant to enhance colonization. The defense response of a plant is characterized by significant transcriptional reprogramming mediated by underlying gene regulatory networks, and components of these networks are often targeted by attacking pathogens. Here, using gene expression data from Botrytis cinerea-infected Arabidopsis plants, we develop a systematic approach for mitigating the effects of pathogen-induced network perturbations, using the tools of synthetic biology. We employ network inference and system identification techniques to build an accurate model of an Arabidopsis defense subnetwork that contains key genes determining susceptibility of the plant to the pathogen attack. Once validated against time-series data, we use this model to design and test perturbation mitigation strategies based on the use of genetic feedback control. We show how a synthetic feedback controller can be designed to attenuate the effect of external perturbations on the transcription factor CHE in our subnetwork. We investigate and compare two approaches for implementing such a controller biologically—direct implementation of the genetic feedback controller, and rewiring the regulatory regions of multiple genes—to achieve the network motif required to implement the controller. Our results highlight the potential of combining feedback control theory with synthetic biology for engineering plants with enhanced resilience to environmental stress.

Item Type: Journal Article
Divisions: Faculty of Science > Engineering
SWORD Depositor: Library Publications Router
Journal or Publication Title: ACS Synthetic Biology
Publisher: American Chemical Society (ACS)
ISSN: 2161-5063
Official Date: 23 May 2018
Dates:
DateEvent
23 May 2018Published
10 May 2018Available
DOI: 10.1021/acssynbio.8b00037
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item
twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us