Screening and modular design for metabolic pathway optimization
Biological conversion of substrate sugars to a variety of products is an increasingly popular option for chemical transformation due to its high specificity and because of significant interest in the use of renewable feedstocks. However, pathway optimization through metabolic engineering is often ne...
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| Format: | Article |
| Language: | en_US |
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Elsevier
2017
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| Online Access: | http://hdl.handle.net/1721.1/108027 https://orcid.org/0000-0002-5111-0969 https://orcid.org/0000-0002-6548-9420 https://orcid.org/0000-0003-0437-3157 |
| _version_ | 1826212287313084416 |
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| author | Boock, Jason Gupta, Apoorv Jones, Kristala L. |
| author2 | Massachusetts Institute of Technology. Department of Biological Engineering |
| author_facet | Massachusetts Institute of Technology. Department of Biological Engineering Boock, Jason Gupta, Apoorv Jones, Kristala L. |
| author_sort | Boock, Jason |
| collection | MIT |
| description | Biological conversion of substrate sugars to a variety of products is an increasingly popular option for chemical transformation due to its high specificity and because of significant interest in the use of renewable feedstocks. However, pathway optimization through metabolic engineering is often needed to make such molecules economically at a relevant scale. Employing effective methods to search and narrow the immense pathway parameter space is essential to meet performance metrics such as high titer, yield and productivity with efficiency. This review focuses on two practices that increase the likelihood of finding a more advantageous pathway solution: implementing a screen to identify high producers and utilizing modular pathway design to streamline engineering efforts. While screens seek to couple product titer with a high-throughput measurement output, modular design aims to rationally construct pathways to allow parallel optimization of various units. Both of these methodologies have proven widely successful in metabolic engineering, with combinations of them resulting in synergistic enhancements to pathway optimization. This review will particularly highlight their utility for microbially derived acid and alcohol products, which are of interest as fuels and value added products. |
| first_indexed | 2024-09-23T15:19:20Z |
| format | Article |
| id | mit-1721.1/108027 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T15:19:20Z |
| publishDate | 2017 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | mit-1721.1/1080272022-09-29T14:13:25Z Screening and modular design for metabolic pathway optimization Boock, Jason Gupta, Apoorv Jones, Kristala L. Massachusetts Institute of Technology. Department of Biological Engineering Massachusetts Institute of Technology. Department of Chemical Engineering Prather, Kristala L. Boock, Jason Gupta, Apoorv Jones, Kristala L. Biological conversion of substrate sugars to a variety of products is an increasingly popular option for chemical transformation due to its high specificity and because of significant interest in the use of renewable feedstocks. However, pathway optimization through metabolic engineering is often needed to make such molecules economically at a relevant scale. Employing effective methods to search and narrow the immense pathway parameter space is essential to meet performance metrics such as high titer, yield and productivity with efficiency. This review focuses on two practices that increase the likelihood of finding a more advantageous pathway solution: implementing a screen to identify high producers and utilizing modular pathway design to streamline engineering efforts. While screens seek to couple product titer with a high-throughput measurement output, modular design aims to rationally construct pathways to allow parallel optimization of various units. Both of these methodologies have proven widely successful in metabolic engineering, with combinations of them resulting in synergistic enhancements to pathway optimization. This review will particularly highlight their utility for microbially derived acid and alcohol products, which are of interest as fuels and value added products. National Science Foundation (U.S.) Synthetic Biology Engineering Research Center (EEC-0540879) United States. Department of Energy (DE-SC0012555) United States. Army Research Office (W911NF-09-0001) 2017-04-10T19:41:35Z 2017-04-10T19:41:35Z 2015-10 Article http://purl.org/eprint/type/JournalArticle 0958-1669 http://hdl.handle.net/1721.1/108027 Boock, Jason T, Gupta, Apoorv, and Prather, Kristala L J. “Screening and Modular Design for Metabolic Pathway Optimization.” Current Opinion in Biotechnology 36 (December 2015): 189–198. © 2015 Elsevier Ltd https://orcid.org/0000-0002-5111-0969 https://orcid.org/0000-0002-6548-9420 https://orcid.org/0000-0003-0437-3157 en_US http://dx.doi.org/10.1016/j.copbio.2015.08.013 Current Opinion in Biotechnology Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier Prof. Prather via Erja Kajosalo |
| spellingShingle | Boock, Jason Gupta, Apoorv Jones, Kristala L. Screening and modular design for metabolic pathway optimization |
| title | Screening and modular design for metabolic pathway optimization |
| title_full | Screening and modular design for metabolic pathway optimization |
| title_fullStr | Screening and modular design for metabolic pathway optimization |
| title_full_unstemmed | Screening and modular design for metabolic pathway optimization |
| title_short | Screening and modular design for metabolic pathway optimization |
| title_sort | screening and modular design for metabolic pathway optimization |
| url | http://hdl.handle.net/1721.1/108027 https://orcid.org/0000-0002-5111-0969 https://orcid.org/0000-0002-6548-9420 https://orcid.org/0000-0003-0437-3157 |
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