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Screening microbially produced Δ(9)-tetrahydrocannabinol using a yeast biosensor workflow

Microbial production of cannabinoids promises to provide a consistent, cheaper, and more sustainable supply of these important therapeutic molecules. However, scaling production to compete with traditional plant-based sources is challenging. Our ability to make strain variants greatly exceeds our ca...

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Autores principales: Shaw, William M., Zhang, Yunfeng, Lu, Xinyu, Khalil, Ahmad S., Ladds, Graham, Luo, Xiaozhou, Ellis, Tom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9489785/
https://www.ncbi.nlm.nih.gov/pubmed/36127350
http://dx.doi.org/10.1038/s41467-022-33207-x
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author Shaw, William M.
Zhang, Yunfeng
Lu, Xinyu
Khalil, Ahmad S.
Ladds, Graham
Luo, Xiaozhou
Ellis, Tom
author_facet Shaw, William M.
Zhang, Yunfeng
Lu, Xinyu
Khalil, Ahmad S.
Ladds, Graham
Luo, Xiaozhou
Ellis, Tom
author_sort Shaw, William M.
collection PubMed
description Microbial production of cannabinoids promises to provide a consistent, cheaper, and more sustainable supply of these important therapeutic molecules. However, scaling production to compete with traditional plant-based sources is challenging. Our ability to make strain variants greatly exceeds our capacity to screen and identify high producers, creating a bottleneck in metabolic engineering efforts. Here, we present a yeast-based biosensor for detecting microbially produced Δ(9)-tetrahydrocannabinol (THC) to increase throughput and lower the cost of screening. We port five human cannabinoid G protein-coupled receptors (GPCRs) into yeast, showing the cannabinoid type 2 receptor, CB2R, can couple to the yeast pheromone response pathway and report on the concentration of a variety of cannabinoids over a wide dynamic and operational range. We demonstrate that our cannabinoid biosensor can detect THC from microbial cell culture and use this as a tool for measuring relative production yields from a library of Δ(9)-tetrahydrocannabinol acid synthase (THCAS) mutants.
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spelling pubmed-94897852022-09-22 Screening microbially produced Δ(9)-tetrahydrocannabinol using a yeast biosensor workflow Shaw, William M. Zhang, Yunfeng Lu, Xinyu Khalil, Ahmad S. Ladds, Graham Luo, Xiaozhou Ellis, Tom Nat Commun Article Microbial production of cannabinoids promises to provide a consistent, cheaper, and more sustainable supply of these important therapeutic molecules. However, scaling production to compete with traditional plant-based sources is challenging. Our ability to make strain variants greatly exceeds our capacity to screen and identify high producers, creating a bottleneck in metabolic engineering efforts. Here, we present a yeast-based biosensor for detecting microbially produced Δ(9)-tetrahydrocannabinol (THC) to increase throughput and lower the cost of screening. We port five human cannabinoid G protein-coupled receptors (GPCRs) into yeast, showing the cannabinoid type 2 receptor, CB2R, can couple to the yeast pheromone response pathway and report on the concentration of a variety of cannabinoids over a wide dynamic and operational range. We demonstrate that our cannabinoid biosensor can detect THC from microbial cell culture and use this as a tool for measuring relative production yields from a library of Δ(9)-tetrahydrocannabinol acid synthase (THCAS) mutants. Nature Publishing Group UK 2022-09-20 /pmc/articles/PMC9489785/ /pubmed/36127350 http://dx.doi.org/10.1038/s41467-022-33207-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Shaw, William M.
Zhang, Yunfeng
Lu, Xinyu
Khalil, Ahmad S.
Ladds, Graham
Luo, Xiaozhou
Ellis, Tom
Screening microbially produced Δ(9)-tetrahydrocannabinol using a yeast biosensor workflow
title Screening microbially produced Δ(9)-tetrahydrocannabinol using a yeast biosensor workflow
title_full Screening microbially produced Δ(9)-tetrahydrocannabinol using a yeast biosensor workflow
title_fullStr Screening microbially produced Δ(9)-tetrahydrocannabinol using a yeast biosensor workflow
title_full_unstemmed Screening microbially produced Δ(9)-tetrahydrocannabinol using a yeast biosensor workflow
title_short Screening microbially produced Δ(9)-tetrahydrocannabinol using a yeast biosensor workflow
title_sort screening microbially produced δ(9)-tetrahydrocannabinol using a yeast biosensor workflow
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9489785/
https://www.ncbi.nlm.nih.gov/pubmed/36127350
http://dx.doi.org/10.1038/s41467-022-33207-x
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