{"title":"合成基因回路进化:中等规模的洞察力和机遇","authors":"","doi":"10.1016/j.chembiol.2024.05.018","DOIUrl":null,"url":null,"abstract":"<div><p>Directed evolution focuses on optimizing single genetic components for predefined engineering goals by artificial mutagenesis and selection. In contrast, experimental evolution studies the adaptation of entire genomes in serially propagated cell populations, to provide an experimental basis for evolutionary theory. There is a relatively unexplored gap at the middle ground between these two techniques, to evolve <em>in vivo</em> entire synthetic gene circuits with nontrivial dynamic function instead of single parts or whole genomes. We discuss the requirements for such mid-scale evolution, with hypothetical examples for evolving synthetic gene circuits by appropriate selection and targeted shuffling of a seed set of genetic components <em>in vivo</em>. Implementing similar methods should aid the rapid generation, functionalization, and optimization of synthetic gene circuits in various organisms and environments, accelerating both the development of biomedical and technological applications and the understanding of principles guiding regulatory network evolution.</p></div>","PeriodicalId":265,"journal":{"name":"Cell Chemical Biology","volume":"31 8","pages":"Pages 1447-1459"},"PeriodicalIF":6.6000,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2451945624002198/pdfft?md5=ab725988d0ab4ed2c1198c5281ace930&pid=1-s2.0-S2451945624002198-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Synthetic gene circuit evolution: Insights and opportunities at the mid-scale\",\"authors\":\"\",\"doi\":\"10.1016/j.chembiol.2024.05.018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Directed evolution focuses on optimizing single genetic components for predefined engineering goals by artificial mutagenesis and selection. In contrast, experimental evolution studies the adaptation of entire genomes in serially propagated cell populations, to provide an experimental basis for evolutionary theory. There is a relatively unexplored gap at the middle ground between these two techniques, to evolve <em>in vivo</em> entire synthetic gene circuits with nontrivial dynamic function instead of single parts or whole genomes. We discuss the requirements for such mid-scale evolution, with hypothetical examples for evolving synthetic gene circuits by appropriate selection and targeted shuffling of a seed set of genetic components <em>in vivo</em>. Implementing similar methods should aid the rapid generation, functionalization, and optimization of synthetic gene circuits in various organisms and environments, accelerating both the development of biomedical and technological applications and the understanding of principles guiding regulatory network evolution.</p></div>\",\"PeriodicalId\":265,\"journal\":{\"name\":\"Cell Chemical Biology\",\"volume\":\"31 8\",\"pages\":\"Pages 1447-1459\"},\"PeriodicalIF\":6.6000,\"publicationDate\":\"2024-08-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2451945624002198/pdfft?md5=ab725988d0ab4ed2c1198c5281ace930&pid=1-s2.0-S2451945624002198-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cell Chemical Biology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2451945624002198\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell Chemical Biology","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2451945624002198","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Synthetic gene circuit evolution: Insights and opportunities at the mid-scale
Directed evolution focuses on optimizing single genetic components for predefined engineering goals by artificial mutagenesis and selection. In contrast, experimental evolution studies the adaptation of entire genomes in serially propagated cell populations, to provide an experimental basis for evolutionary theory. There is a relatively unexplored gap at the middle ground between these two techniques, to evolve in vivo entire synthetic gene circuits with nontrivial dynamic function instead of single parts or whole genomes. We discuss the requirements for such mid-scale evolution, with hypothetical examples for evolving synthetic gene circuits by appropriate selection and targeted shuffling of a seed set of genetic components in vivo. Implementing similar methods should aid the rapid generation, functionalization, and optimization of synthetic gene circuits in various organisms and environments, accelerating both the development of biomedical and technological applications and the understanding of principles guiding regulatory network evolution.
Cell Chemical BiologyBiochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
14.70
自引率
2.30%
发文量
143
期刊介绍:
Cell Chemical Biology, a Cell Press journal established in 1994 as Chemistry & Biology, focuses on publishing crucial advances in chemical biology research with broad appeal to our diverse community, spanning basic scientists to clinicians. Pioneering investigations at the chemistry-biology interface, the journal fosters collaboration between these disciplines. We encourage submissions providing significant conceptual advancements of broad interest across chemical, biological, clinical, and related fields. Particularly sought are articles utilizing chemical tools to perturb, visualize, and measure biological systems, offering unique insights into molecular mechanisms, disease biology, and therapeutics.