Matthew Wong, Abinaya Badri, Christopher Gasparis, Georges Belfort, Mattheos Koffas
{"title":"代谢工程中的模块化优化。","authors":"Matthew Wong, Abinaya Badri, Christopher Gasparis, Georges Belfort, Mattheos Koffas","doi":"10.1080/10409238.2021.1937928","DOIUrl":null,"url":null,"abstract":"<p><p>There is an increasing demand for bioproducts produced by metabolically engineered microbes, such as pharmaceuticals, biofuels, biochemicals and other high value compounds. In order to meet this demand, modular optimization, the optimizing of subsections instead of the whole system, has been adopted to engineer cells to overproduce products. Research into modularity has focused on traditional approaches such as DNA, RNA, and protein-level modularity of intercellular machinery, by optimizing metabolic pathways for enhanced production. While research into these traditional approaches continues, limitations such as scale-up and time cost hold them back from wider use, while at the same time there is a shift to more novel methods, such as moving from episomal expression to chromosomal integration. Recently, nontraditional approaches such as co-culture systems and cell-free metabolic engineering (CFME) are being investigated for modular optimization. Co-culture modularity looks to optimally divide the metabolic burden between different hosts. CFME seeks to modularly optimize metabolic pathways <i>in vitro</i>, both speeding up the design of such systems and eliminating the issues associated with live hosts. In this review we will examine both traditional and nontraditional approaches for modular optimization, examining recent developments and discussing issues and emerging solutions for future research in metabolic engineering.</p>","PeriodicalId":10794,"journal":{"name":"Critical Reviews in Biochemistry and Molecular Biology","volume":" ","pages":"587-602"},"PeriodicalIF":6.2000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10409238.2021.1937928","citationCount":"4","resultStr":"{\"title\":\"Modular optimization in metabolic engineering.\",\"authors\":\"Matthew Wong, Abinaya Badri, Christopher Gasparis, Georges Belfort, Mattheos Koffas\",\"doi\":\"10.1080/10409238.2021.1937928\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>There is an increasing demand for bioproducts produced by metabolically engineered microbes, such as pharmaceuticals, biofuels, biochemicals and other high value compounds. In order to meet this demand, modular optimization, the optimizing of subsections instead of the whole system, has been adopted to engineer cells to overproduce products. Research into modularity has focused on traditional approaches such as DNA, RNA, and protein-level modularity of intercellular machinery, by optimizing metabolic pathways for enhanced production. While research into these traditional approaches continues, limitations such as scale-up and time cost hold them back from wider use, while at the same time there is a shift to more novel methods, such as moving from episomal expression to chromosomal integration. Recently, nontraditional approaches such as co-culture systems and cell-free metabolic engineering (CFME) are being investigated for modular optimization. Co-culture modularity looks to optimally divide the metabolic burden between different hosts. CFME seeks to modularly optimize metabolic pathways <i>in vitro</i>, both speeding up the design of such systems and eliminating the issues associated with live hosts. In this review we will examine both traditional and nontraditional approaches for modular optimization, examining recent developments and discussing issues and emerging solutions for future research in metabolic engineering.</p>\",\"PeriodicalId\":10794,\"journal\":{\"name\":\"Critical Reviews in Biochemistry and Molecular Biology\",\"volume\":\" \",\"pages\":\"587-602\"},\"PeriodicalIF\":6.2000,\"publicationDate\":\"2021-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/10409238.2021.1937928\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Critical Reviews in Biochemistry and Molecular Biology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1080/10409238.2021.1937928\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2021/6/27 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Critical Reviews in Biochemistry and Molecular Biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1080/10409238.2021.1937928","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/6/27 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
There is an increasing demand for bioproducts produced by metabolically engineered microbes, such as pharmaceuticals, biofuels, biochemicals and other high value compounds. In order to meet this demand, modular optimization, the optimizing of subsections instead of the whole system, has been adopted to engineer cells to overproduce products. Research into modularity has focused on traditional approaches such as DNA, RNA, and protein-level modularity of intercellular machinery, by optimizing metabolic pathways for enhanced production. While research into these traditional approaches continues, limitations such as scale-up and time cost hold them back from wider use, while at the same time there is a shift to more novel methods, such as moving from episomal expression to chromosomal integration. Recently, nontraditional approaches such as co-culture systems and cell-free metabolic engineering (CFME) are being investigated for modular optimization. Co-culture modularity looks to optimally divide the metabolic burden between different hosts. CFME seeks to modularly optimize metabolic pathways in vitro, both speeding up the design of such systems and eliminating the issues associated with live hosts. In this review we will examine both traditional and nontraditional approaches for modular optimization, examining recent developments and discussing issues and emerging solutions for future research in metabolic engineering.
期刊介绍:
As the discipline of biochemistry and molecular biology have greatly advanced in the last quarter century, significant contributions have been made towards the advancement of general medicine, genetics, immunology, developmental biology, and biophysics. Investigators in a wide range of disciplines increasingly require an appreciation of the significance of current biochemical and molecular biology advances while, members of the biochemical and molecular biology community itself seek concise information on advances in areas remote from their own specialties.
Critical Reviews in Biochemistry and Molecular Biology believes that well-written review articles prove an effective device for the integration and meaningful comprehension of vast, often contradictory, literature. Review articles also provide an opportunity for creative scholarship by synthesizing known facts, fruitful hypotheses, and new concepts. Accordingly, Critical Reviews in Biochemistry and Molecular Biology publishes high-quality reviews that organize, evaluate, and present the current status of high-impact, current issues in the area of biochemistry and molecular biology.
Topics are selected on the advice of an advisory board of outstanding scientists, who also suggest authors of special competence. The topics chosen are sufficiently broad to interest a wide audience of readers, yet focused enough to be within the competence of a single author. Authors are chosen based on their activity in the field and their proven ability to produce a well-written publication.