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Optimized gene expression from bacterial chromosome by high-throughput integration and screening
Chromosomal integration of recombinant genes is desirable compared with expression from plasmids due to increased stability, reduced cell-to-cell variability, and elimination of the need for antibiotics for plasmid maintenance. Here, we present a new approach for tuning pathway gene expression level...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7880599/ https://www.ncbi.nlm.nih.gov/pubmed/33579713 http://dx.doi.org/10.1126/sciadv.abe1767 |
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author | Saleski, Tatyana E. Chung, Meng Ting Carruthers, David N. Khasbaatar, Azzaya Kurabayashi, Katsuo Lin, Xiaoxia Nina |
author_facet | Saleski, Tatyana E. Chung, Meng Ting Carruthers, David N. Khasbaatar, Azzaya Kurabayashi, Katsuo Lin, Xiaoxia Nina |
author_sort | Saleski, Tatyana E. |
collection | PubMed |
description | Chromosomal integration of recombinant genes is desirable compared with expression from plasmids due to increased stability, reduced cell-to-cell variability, and elimination of the need for antibiotics for plasmid maintenance. Here, we present a new approach for tuning pathway gene expression levels via random integration and high-throughput screening. We demonstrate multiplexed gene integration and expression-level optimization for isobutanol production in Escherichia coli. The integrated strains could, with far lower expression levels than plasmid-based expression, produce high titers (10.0 ± 0.9 g/liter isobutanol in 48 hours) and yields (69% of the theoretical maximum). Close examination of pathway expression in the top-performing, as well as other isolates, reveals the complexity of cellular metabolism and regulation, underscoring the need for precise optimization while integrating pathway genes into the chromosome. We expect this method for pathway integration and optimization can be readily extended to a wide range of pathways and chassis to create robust and efficient production strains. |
format | Online Article Text |
id | pubmed-7880599 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-78805992021-02-22 Optimized gene expression from bacterial chromosome by high-throughput integration and screening Saleski, Tatyana E. Chung, Meng Ting Carruthers, David N. Khasbaatar, Azzaya Kurabayashi, Katsuo Lin, Xiaoxia Nina Sci Adv Research Articles Chromosomal integration of recombinant genes is desirable compared with expression from plasmids due to increased stability, reduced cell-to-cell variability, and elimination of the need for antibiotics for plasmid maintenance. Here, we present a new approach for tuning pathway gene expression levels via random integration and high-throughput screening. We demonstrate multiplexed gene integration and expression-level optimization for isobutanol production in Escherichia coli. The integrated strains could, with far lower expression levels than plasmid-based expression, produce high titers (10.0 ± 0.9 g/liter isobutanol in 48 hours) and yields (69% of the theoretical maximum). Close examination of pathway expression in the top-performing, as well as other isolates, reveals the complexity of cellular metabolism and regulation, underscoring the need for precise optimization while integrating pathway genes into the chromosome. We expect this method for pathway integration and optimization can be readily extended to a wide range of pathways and chassis to create robust and efficient production strains. American Association for the Advancement of Science 2021-02-12 /pmc/articles/PMC7880599/ /pubmed/33579713 http://dx.doi.org/10.1126/sciadv.abe1767 Text en Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/ https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Saleski, Tatyana E. Chung, Meng Ting Carruthers, David N. Khasbaatar, Azzaya Kurabayashi, Katsuo Lin, Xiaoxia Nina Optimized gene expression from bacterial chromosome by high-throughput integration and screening |
title | Optimized gene expression from bacterial chromosome by high-throughput integration and screening |
title_full | Optimized gene expression from bacterial chromosome by high-throughput integration and screening |
title_fullStr | Optimized gene expression from bacterial chromosome by high-throughput integration and screening |
title_full_unstemmed | Optimized gene expression from bacterial chromosome by high-throughput integration and screening |
title_short | Optimized gene expression from bacterial chromosome by high-throughput integration and screening |
title_sort | optimized gene expression from bacterial chromosome by high-throughput integration and screening |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7880599/ https://www.ncbi.nlm.nih.gov/pubmed/33579713 http://dx.doi.org/10.1126/sciadv.abe1767 |
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