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Computer-Aid Directed Evolution of GPPS and PS Enzymes
Pinene, a natural active monoterpene, is widely used as a flavoring agent, perfume, medicine, and biofuel. Although genetically engineered microorganisms have successfully produced pinene, to date, the biological yield of pinene is much lower than that of semiterpenes (isoprene) and sesquiterpenes (...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994089/ https://www.ncbi.nlm.nih.gov/pubmed/33791370 http://dx.doi.org/10.1155/2021/6653500 |
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author | Chen, Fei Cheng, Hong Zhu, Jiaqi Wang, Shiyu Zhang, Liancheng Dong, Haolong Liu, Gang Chen, Huipeng |
author_facet | Chen, Fei Cheng, Hong Zhu, Jiaqi Wang, Shiyu Zhang, Liancheng Dong, Haolong Liu, Gang Chen, Huipeng |
author_sort | Chen, Fei |
collection | PubMed |
description | Pinene, a natural active monoterpene, is widely used as a flavoring agent, perfume, medicine, and biofuel. Although genetically engineered microorganisms have successfully produced pinene, to date, the biological yield of pinene is much lower than that of semiterpenes (isoprene) and sesquiterpenes (farnesene). In addition to the low heterologous expression of geranyl pyrophosphate synthase (GPPS) and pinene synthase (PS), cytotoxicity due to accumulation of the monoterpene also limits the production of pinene in microorganisms. In this study, we attempted to use two strategies to increase the biological yield of pinene. By deleting the random coils of GPPS and PS alone or in combination, a strain with a 335% yield increase was obtained. Additionally, upon computer-guided molecular modeling and docking of GPPS with isopentenyl pyrophosphate (IPP), its substrate, the key sites located within the catalytic pocket for substrate binding, was predicted. After screening, a strain harboring the T273R mutation of GPPS was selected among a batch of mutations of the key sites with a 154% increase in pinene yield. |
format | Online Article Text |
id | pubmed-7994089 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-79940892021-03-30 Computer-Aid Directed Evolution of GPPS and PS Enzymes Chen, Fei Cheng, Hong Zhu, Jiaqi Wang, Shiyu Zhang, Liancheng Dong, Haolong Liu, Gang Chen, Huipeng Biomed Res Int Research Article Pinene, a natural active monoterpene, is widely used as a flavoring agent, perfume, medicine, and biofuel. Although genetically engineered microorganisms have successfully produced pinene, to date, the biological yield of pinene is much lower than that of semiterpenes (isoprene) and sesquiterpenes (farnesene). In addition to the low heterologous expression of geranyl pyrophosphate synthase (GPPS) and pinene synthase (PS), cytotoxicity due to accumulation of the monoterpene also limits the production of pinene in microorganisms. In this study, we attempted to use two strategies to increase the biological yield of pinene. By deleting the random coils of GPPS and PS alone or in combination, a strain with a 335% yield increase was obtained. Additionally, upon computer-guided molecular modeling and docking of GPPS with isopentenyl pyrophosphate (IPP), its substrate, the key sites located within the catalytic pocket for substrate binding, was predicted. After screening, a strain harboring the T273R mutation of GPPS was selected among a batch of mutations of the key sites with a 154% increase in pinene yield. Hindawi 2021-03-18 /pmc/articles/PMC7994089/ /pubmed/33791370 http://dx.doi.org/10.1155/2021/6653500 Text en Copyright © 2021 Fei Chen et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Chen, Fei Cheng, Hong Zhu, Jiaqi Wang, Shiyu Zhang, Liancheng Dong, Haolong Liu, Gang Chen, Huipeng Computer-Aid Directed Evolution of GPPS and PS Enzymes |
title | Computer-Aid Directed Evolution of GPPS and PS Enzymes |
title_full | Computer-Aid Directed Evolution of GPPS and PS Enzymes |
title_fullStr | Computer-Aid Directed Evolution of GPPS and PS Enzymes |
title_full_unstemmed | Computer-Aid Directed Evolution of GPPS and PS Enzymes |
title_short | Computer-Aid Directed Evolution of GPPS and PS Enzymes |
title_sort | computer-aid directed evolution of gpps and ps enzymes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994089/ https://www.ncbi.nlm.nih.gov/pubmed/33791370 http://dx.doi.org/10.1155/2021/6653500 |
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