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Cheating the cheater: Suppressing false positive enrichment during biosensor-guided biocatalyst engineering

Vikas D. Trivedi, Karishma Mohan, Todd C. Chappell, Zachary J. S. Mays, View ORCID ProfileNikhil U. Nair
doi: https://doi.org/10.1101/2021.10.08.463720
Vikas D. Trivedi
Department of Chemical and Biological Engineering, Tufts University, Medford, MA 02155
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Karishma Mohan
Department of Chemical and Biological Engineering, Tufts University, Medford, MA 02155
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Todd C. Chappell
Department of Chemical and Biological Engineering, Tufts University, Medford, MA 02155
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Zachary J. S. Mays
Department of Chemical and Biological Engineering, Tufts University, Medford, MA 02155
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Nikhil U. Nair
Department of Chemical and Biological Engineering, Tufts University, Medford, MA 02155
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  • ORCID record for Nikhil U. Nair
  • For correspondence: nikhil.nair@tufts.edu
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ABSTRACT

Transcription factor (TF)-based biosensors are very desirable reagents for high-throughput enzyme and strain engineering campaigns. Despite their potential, they are often difficult to deploy effectively as the small molecules being detected can leak out of high-producer cells, into low-producer cells, and activate the biosensor therein. This crosstalk leads to the overrepresentation of false positive/cheater cells in the enriched population. While the host cell can be engineered to minimize crosstalk (e.g., by deleting responsible transporters), this is not easily applicable to all molecules of interest, particularly those that can diffuse passively. One such biosensor recently reported for trans-cinnamic acid (tCA) suffers from crosstalk when used for phenylalanine ammonia-lyase (PAL) enzyme engineering by directed evolution. We report that desensitizing the biosensor (i.e., increasing the limit of detection, LOD) suppresses cheater population enrichment. Further we show that, if we couple the biosensor-based screen with an orthogonal pre-screen that eliminates a large fraction of true negatives, we can successfully reduce the cheater population during the fluorescence-activated cell sorting (FACS). Using the approach developed here, we were successfully able to isolate PAL variants with ~70% high kcat after a single sort. These mutants have tremendous potential in Phenylketonuria (PKU) treatment and flavonoid production.

Competing Interest Statement

V.D.T., T.C.C., and N.U.N. are co-founders of Enrich Bio, LLC. Tufts University and the authors have applied for a patent on some of the methods and mutations described.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted October 09, 2021.
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Cheating the cheater: Suppressing false positive enrichment during biosensor-guided biocatalyst engineering
Vikas D. Trivedi, Karishma Mohan, Todd C. Chappell, Zachary J. S. Mays, Nikhil U. Nair
bioRxiv 2021.10.08.463720; doi: https://doi.org/10.1101/2021.10.08.463720
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Cheating the cheater: Suppressing false positive enrichment during biosensor-guided biocatalyst engineering
Vikas D. Trivedi, Karishma Mohan, Todd C. Chappell, Zachary J. S. Mays, Nikhil U. Nair
bioRxiv 2021.10.08.463720; doi: https://doi.org/10.1101/2021.10.08.463720

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