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Selecting Better Biocatalysts by Complementing Recoded Bacteria
In vivo selections are powerful tools for the directed evolution of enzymes. However, the need to link enzymatic activity to cellular survival makes selections for enzymes that do not fulfill a metabolic function challenging. Here, we present an in vivo selection strategy that leverages recoded orga...
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Published in: | Angewandte Chemie International Edition 2023-01, Vol.62 (2), p.e202213942-n/a |
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description | In vivo selections are powerful tools for the directed evolution of enzymes. However, the need to link enzymatic activity to cellular survival makes selections for enzymes that do not fulfill a metabolic function challenging. Here, we present an in vivo selection strategy that leverages recoded organisms addicted to non‐canonical amino acids (ncAAs) to evolve biocatalysts that can provide these building blocks from synthetic precursors. We exemplify our platform by engineering carbamoylases that display catalytic efficiencies more than five orders of magnitude higher than those observed for the wild‐type enzyme for ncAA‐precursors. As growth rates of bacteria under selective conditions correlate with enzymatic activities, we were able to elicit improved variants from populations by performing serial passaging. By requiring minimal human intervention and no specialized equipment, we surmise that our strategy will become a versatile tool for the in vivo directed evolution of diverse biocatalysts.
An in vivo selection strategy is presented, in which bacteria addicted to non‐canonical amino acids (ncAAs) are complemented by enzymes that can yield these building blocks from synthetic precursors. As growth rates under selective conditions correlate with enzyme activities, serial passaging elicited better biocatalysts from populations harboring enzyme libraries. The platform was used to improve the activity of carbamoylases for ncAA‐precursors. |
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An in vivo selection strategy is presented, in which bacteria addicted to non‐canonical amino acids (ncAAs) are complemented by enzymes that can yield these building blocks from synthetic precursors. As growth rates under selective conditions correlate with enzyme activities, serial passaging elicited better biocatalysts from populations harboring enzyme libraries. The platform was used to improve the activity of carbamoylases for ncAA‐precursors.</description><edition>International ed. in English</edition><identifier>ISSN: 1433-7851</identifier><identifier>ISSN: 1521-3773</identifier><identifier>EISSN: 1521-3773</identifier><identifier>DOI: 10.1002/anie.202213942</identifier><identifier>PMID: 36342942</identifier><language>eng</language><publisher>Germany: Wiley Subscription Services, Inc</publisher><subject>Amino acids ; Amino Acids - chemistry ; Bacteria ; Biocatalysts ; Carbamoylases ; Catalysis ; Directed Evolution ; Enzymatic activity ; Enzymes ; Evolution ; Genetic-Code Expansion ; Growth rate ; Humans ; In Vivo Selection ; Precursors ; Proenzymes ; Synthetic Biology</subject><ispartof>Angewandte Chemie International Edition, 2023-01, Vol.62 (2), p.e202213942-n/a</ispartof><rights>2022 The Authors. Angewandte Chemie International Edition published by Wiley-VCH GmbH</rights><rights>2022 The Authors. Angewandte Chemie International Edition published by Wiley-VCH GmbH.</rights><rights>2022. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4692-60a715ce29de0c16b249860826bbebab13e9a2f44a9b09116c4b58c61ac2bf573</citedby><cites>FETCH-LOGICAL-c4692-60a715ce29de0c16b249860826bbebab13e9a2f44a9b09116c4b58c61ac2bf573</cites><orcidid>0000-0002-1656-6477 ; 0000-0002-2507-9072 ; 0000-0002-6495-9873 ; 0000-0001-8461-7056</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27923,27924</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36342942$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Rubini, Rudy</creatorcontrib><creatorcontrib>Jansen, Suzanne C.</creatorcontrib><creatorcontrib>Beekhuis, Houdijn</creatorcontrib><creatorcontrib>Rozeboom, Henriëtte J.</creatorcontrib><creatorcontrib>Mayer, Clemens</creatorcontrib><title>Selecting Better Biocatalysts by Complementing Recoded Bacteria</title><title>Angewandte Chemie International Edition</title><addtitle>Angew Chem Int Ed Engl</addtitle><description>In vivo selections are powerful tools for the directed evolution of enzymes. However, the need to link enzymatic activity to cellular survival makes selections for enzymes that do not fulfill a metabolic function challenging. Here, we present an in vivo selection strategy that leverages recoded organisms addicted to non‐canonical amino acids (ncAAs) to evolve biocatalysts that can provide these building blocks from synthetic precursors. We exemplify our platform by engineering carbamoylases that display catalytic efficiencies more than five orders of magnitude higher than those observed for the wild‐type enzyme for ncAA‐precursors. As growth rates of bacteria under selective conditions correlate with enzymatic activities, we were able to elicit improved variants from populations by performing serial passaging. By requiring minimal human intervention and no specialized equipment, we surmise that our strategy will become a versatile tool for the in vivo directed evolution of diverse biocatalysts.
An in vivo selection strategy is presented, in which bacteria addicted to non‐canonical amino acids (ncAAs) are complemented by enzymes that can yield these building blocks from synthetic precursors. As growth rates under selective conditions correlate with enzyme activities, serial passaging elicited better biocatalysts from populations harboring enzyme libraries. 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An in vivo selection strategy is presented, in which bacteria addicted to non‐canonical amino acids (ncAAs) are complemented by enzymes that can yield these building blocks from synthetic precursors. As growth rates under selective conditions correlate with enzyme activities, serial passaging elicited better biocatalysts from populations harboring enzyme libraries. The platform was used to improve the activity of carbamoylases for ncAA‐precursors.</abstract><cop>Germany</cop><pub>Wiley Subscription Services, Inc</pub><pmid>36342942</pmid><doi>10.1002/anie.202213942</doi><tpages>9</tpages><edition>International ed. in English</edition><orcidid>https://orcid.org/0000-0002-1656-6477</orcidid><orcidid>https://orcid.org/0000-0002-2507-9072</orcidid><orcidid>https://orcid.org/0000-0002-6495-9873</orcidid><orcidid>https://orcid.org/0000-0001-8461-7056</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Amino acids Amino Acids - chemistry Bacteria Biocatalysts Carbamoylases Catalysis Directed Evolution Enzymatic activity Enzymes Evolution Genetic-Code Expansion Growth rate Humans In Vivo Selection Precursors Proenzymes Synthetic Biology |
title | Selecting Better Biocatalysts by Complementing Recoded Bacteria |
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