Directed Evolution of Herbicide Biosensors in a Fluorescence-Activated Cell-Sorting-Compatible Yeast Two-Hybrid Platform

Gil Zimran, Erez Feuer, Oded Pri-Tal, Michal Shpilman, Assaf Mosquna

Research output: Contribution to journalArticlepeer-review


Developing sensory modules for specific molecules of interest represents a fundamental challenge in synthetic biology and its applications. A somewhat generalizable approach for this challenge is demonstrated here by evolving a naturally occurring chemically induced heterodimer into a genetically encoded sensor for herbicides. The interaction between PYRABACTIN-RESISTANT-like receptors and type-2C protein phosphatases is induced by abscisic acid─a small-molecule hormone in plants. We considered abscisic acid receptors as a potential scaffold for the development of biosensors because of past successes in their engineering, a structurally defined ligand cavity and the availability of large-scale assays for their activation. A panel of 475 receptor variants, mutated at ligand-proximal residues, was screened for activation by 37 herbicides from several classes. Twelve compounds activated at least one member of the mutant panel. To facilitate the subsequent improvement of herbicide receptors through directed evolution, we engineered a yeast two-hybrid platform optimized for sequential positive and negative selection using fluorescence-activated cell sorting. By utilizing this system, we were able to isolate receptors with low nanomolar sensitivity and a broad dynamic range in sensing a ubiquitous group of chloroacetamide herbicides. Aside from its possible applicative value, this work lays down conceptual groundwork and provides infrastructure for the future development of biosensors through directed evolution.

Original languageAmerican English
Pages (from-to)2880-2888
Number of pages9
JournalACS Synthetic Biology
Issue number8
StatePublished - 19 Aug 2022


  • biosensors
  • directed evolution
  • flow cytometry
  • functional selection
  • herbicide

All Science Journal Classification (ASJC) codes

  • Biochemistry, Genetics and Molecular Biology (miscellaneous)
  • Biomedical Engineering


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