Integration of multiple stress signals in plants using synthetic Boolean logic gates

Author:

Anderson Charles E12ORCID,Ferreira Savio S12ORCID,Antunes Mauricio S12ORCID

Affiliation:

1. Department of Biological Sciences, University of North Texas , Denton, TX 76203 , USA

2. BioDiscovery Institute, University of North Texas , Denton, TX 76203 , USA

Abstract

Abstract As photosynthetic organisms, plants have a potential role in the sustainable production of high-value products such as medicines, biofuels, and chemical feedstocks. With effective engineering using synthetic biology approaches, plant-based platforms could conceivably be designed to minimize the costs and waste of production for materials that would otherwise be uneconomical. Additionally, modern agricultural crops could be engineered to be more productive, resilient, or restorative in different or rapidly changing environments and climates. Information-processing genetic devices and circuits containing multiple interacting parts that behave predictably must be developed to achieve these complex goals. A genetic Boolean AND logic gate is a device that computes the presence or absence of 2 inputs (signals and stimuli) and produces an output (response) only when both inputs are present. We optimized individual genetic components and used synthetic protein heterodimerizing domains to rationally assemble genetic AND logic gates that integrate 2 hormonal inputs in transgenic Arabidopsis thaliana plants. These AND gates produce an output only in the presence of both abscisic acid and auxin but not when either or neither hormone is present. The AND logic gate can also integrate signals resulting from 2 plant stresses, cold temperature and bacterial infection, to produce a response. The design principles used here are generalizable, and, therefore, multiple orthogonal AND gates could be assembled and rationally layered to process complex genetic information in plants. These layered logic gates may be used in genetic circuits to probe fundamental questions in plant biology, such as hormonal crosstalk, in addition to plant engineering for bioproduction.

Funder

University of North Texas Department of Biological Sciences

BioDiscovery Institute

Publisher

Oxford University Press (OUP)

Subject

Plant Science,Genetics,Physiology

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