Yusong Zou, Xinyu Gong, Jianli Zhang, Qi Gan, Yajun Yan
{"title":"用于中枢代谢动态控制的工程遗传电路","authors":"Yusong Zou, Xinyu Gong, Jianli Zhang, Qi Gan, Yajun Yan","doi":"10.1016/j.ymben.2025.06.007","DOIUrl":null,"url":null,"abstract":"<div><div>Genetic regulation tools have been examined for their ability to enable sophisticated dynamic control of biosynthesis in microbial cell factories, enhancing the production performance of valuable compounds. However, most genetic tools are pathway- or intermediate-specific, hindering their broad applicability in synthetic biology. Moreover, their potential to balance metabolic fluxes in central metabolism between cell growth and product formation remains under-explored, raising the question of whether they can facilitate efficient biosynthesis. To answer this, we established the PdhR biosensor system that responds to pyruvate to dynamically regulate metabolic flux distribution in central metabolism. In this study, we first characterized the dose response of PdhR biosensor system by screening multiple PdhR homologs derived from various microorganisms. Computational analysis further guided the identification of key factors contributing to their functional differences, enabling the optimization of biosensor properties through site-directed mutagenesis. As proof of concept, we employed our biosensor system to improve the biosynthesis of trehalose and 4-hydroxycoumarin (4HC), respectively. Specifically, trehalose titer increased to 3.72 g/L, which is 2.33-fold higher than the control group. In addition, we improved the 4HC titer to 491.5 mg/L, which possessed a 1.63-fold increase over the static strategy. In summary, the established central metabolism-responsive biosensor system underlined the necessity of metabolic flux distribution and validated its broad applicability in the biosynthesis of central metabolism-derived compounds.</div></div>","PeriodicalId":18483,"journal":{"name":"Metabolic engineering","volume":"91 ","pages":"Pages 405-414"},"PeriodicalIF":6.8000,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Engineering genetic circuits for dynamic control of central metabolism\",\"authors\":\"Yusong Zou, Xinyu Gong, Jianli Zhang, Qi Gan, Yajun Yan\",\"doi\":\"10.1016/j.ymben.2025.06.007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Genetic regulation tools have been examined for their ability to enable sophisticated dynamic control of biosynthesis in microbial cell factories, enhancing the production performance of valuable compounds. However, most genetic tools are pathway- or intermediate-specific, hindering their broad applicability in synthetic biology. Moreover, their potential to balance metabolic fluxes in central metabolism between cell growth and product formation remains under-explored, raising the question of whether they can facilitate efficient biosynthesis. To answer this, we established the PdhR biosensor system that responds to pyruvate to dynamically regulate metabolic flux distribution in central metabolism. In this study, we first characterized the dose response of PdhR biosensor system by screening multiple PdhR homologs derived from various microorganisms. Computational analysis further guided the identification of key factors contributing to their functional differences, enabling the optimization of biosensor properties through site-directed mutagenesis. As proof of concept, we employed our biosensor system to improve the biosynthesis of trehalose and 4-hydroxycoumarin (4HC), respectively. Specifically, trehalose titer increased to 3.72 g/L, which is 2.33-fold higher than the control group. In addition, we improved the 4HC titer to 491.5 mg/L, which possessed a 1.63-fold increase over the static strategy. In summary, the established central metabolism-responsive biosensor system underlined the necessity of metabolic flux distribution and validated its broad applicability in the biosynthesis of central metabolism-derived compounds.</div></div>\",\"PeriodicalId\":18483,\"journal\":{\"name\":\"Metabolic engineering\",\"volume\":\"91 \",\"pages\":\"Pages 405-414\"},\"PeriodicalIF\":6.8000,\"publicationDate\":\"2025-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Metabolic engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S109671762500093X\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOTECHNOLOGY & APPLIED MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Metabolic engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S109671762500093X","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
Engineering genetic circuits for dynamic control of central metabolism
Genetic regulation tools have been examined for their ability to enable sophisticated dynamic control of biosynthesis in microbial cell factories, enhancing the production performance of valuable compounds. However, most genetic tools are pathway- or intermediate-specific, hindering their broad applicability in synthetic biology. Moreover, their potential to balance metabolic fluxes in central metabolism between cell growth and product formation remains under-explored, raising the question of whether they can facilitate efficient biosynthesis. To answer this, we established the PdhR biosensor system that responds to pyruvate to dynamically regulate metabolic flux distribution in central metabolism. In this study, we first characterized the dose response of PdhR biosensor system by screening multiple PdhR homologs derived from various microorganisms. Computational analysis further guided the identification of key factors contributing to their functional differences, enabling the optimization of biosensor properties through site-directed mutagenesis. As proof of concept, we employed our biosensor system to improve the biosynthesis of trehalose and 4-hydroxycoumarin (4HC), respectively. Specifically, trehalose titer increased to 3.72 g/L, which is 2.33-fold higher than the control group. In addition, we improved the 4HC titer to 491.5 mg/L, which possessed a 1.63-fold increase over the static strategy. In summary, the established central metabolism-responsive biosensor system underlined the necessity of metabolic flux distribution and validated its broad applicability in the biosynthesis of central metabolism-derived compounds.
期刊介绍:
Metabolic Engineering (MBE) is a journal that focuses on publishing original research papers on the directed modulation of metabolic pathways for metabolite overproduction or the enhancement of cellular properties. It welcomes papers that describe the engineering of native pathways and the synthesis of heterologous pathways to convert microorganisms into microbial cell factories. The journal covers experimental, computational, and modeling approaches for understanding metabolic pathways and manipulating them through genetic, media, or environmental means. Effective exploration of metabolic pathways necessitates the use of molecular biology and biochemistry methods, as well as engineering techniques for modeling and data analysis. MBE serves as a platform for interdisciplinary research in fields such as biochemistry, molecular biology, applied microbiology, cellular physiology, cellular nutrition in health and disease, and biochemical engineering. The journal publishes various types of papers, including original research papers and review papers. It is indexed and abstracted in databases such as Scopus, Embase, EMBiology, Current Contents - Life Sciences and Clinical Medicine, Science Citation Index, PubMed/Medline, CAS and Biotechnology Citation Index.