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Medford, J. I.

Publications and source records attributed to Medford, J. I..

2 recordsLinked to original sources

A Bio-inspired Synthetic Gene Circuit

Salinity exerts a major constraint on global crop production while seawater intrusion impacts coastal aquifers and surface waters. Using a blueprint from nature, we produced highly salt tolerant Arabidopsis and rice. Endodermal-like barriers, duplicated to the root epidermis and distally expanded to protect sensitive regions, provide salt tolerance to 600 mM NaCl, levels comparable to seawater. Two additional genetic modules are added to reduce adverse effects on ion uptake and provide osmotic protection. Arabidopsis and rice containing all three genetic modules can survive 600 mM NaCl and set seed. RNA-seq analysis suggests that our rational engineering primes plants for salt tolerance, even without salt exposure, while our ionic analysis provides means for improvement. Our results, duplicating suberin and the Casparian Strip to the epidermis, adding symplastic transport and providing a means to address osmotic stress, provides a new approach to salt tolerance and insight to genes involved in salt responses. One Sentence SummaryA bio-inspired approach engineering epidermal barriers, symplast transporters and osmotic enhancement produces salt tolerant Arabidopsis and rice

plant biology↗

A Genetic Toggle Switch in Plants

In synthetic biology, genetic components are assembled to make transcriptional units, and transcriptional units are assembled into circuits to perform specific and predictable functions of a genetic device. Genetic devices have been described in bacteria, mammalian cell cultures and small organoids, yet development of programmable genetic circuits for devices in plants has lagged. Programmable genetic devices require defining the components quantitative functions. Because plants have long life spans, studies often use transient analysis to define quantitative functions while verification in stably engineered plants is often neglected and largely unknown. This raises a question if unique attributes of plants such as environmental sensitivity, developmental plasticity, or alternation of generations, adversely impacts predictability of plant genetic circuits and devices. Alternatively, it is also possible that genetic elements to produce predictable genetic devices for plants require rigorous characterization with detailed mathematical modeling. Here we use plant genetic elements with quantitatively characterized transfer functions and developed in silico models to guide their assembly into a genetic device: a toggle switch or a mutually inhibitory gene-regulatory device. Our approach allows computational selection of plant genetic components and iterative refinement of the circuit if the desired genetic functions are not initially achieved. We show that our computationally selected genetic circuit functions as predicted in stably engineered plants including through tissue and organ differentiation. Developing abilities to produce predictable and programmable plant genetic devices opens the prospect of predictably engineering plants unique abilities in sustainable human and environmental systems.

synthetic biology↗