{"title":"Fine modulation of carbon flow in central carbon metabolism via ribosome-binding site modification in Escherichia coli","authors":"Shogo Sawada, Tatsumi Imada, Hikaru Nagai, Philip Mundt, Fumio Matsuda, Hiroshi Shimizu, Yoshihiro Toya","doi":"10.1016/j.mec.2026.e00270","DOIUrl":null,"url":null,"abstract":"<div><div>Optimization of flux distribution in central carbon metabolism is important to improve the microbial productivity. As the number of precursors required for synthesis differs for each target compound, optimal flux distribution also varies. A library of mutant strains with diverse flux distributions can aid in optimal strain screening. Therefore, in this study, we aimed to construct a library of <em>Escherichia coli</em> strains with stepwise changes in flux distribution by introducing mutations into the ribosome-binding sites of key enzyme genes on its chromosome. We focused on the flux ratios at the glucose-6-phosphate and acetyl-CoA branch points to enhance mevalonate production. Mutations were introduced into the ribosome-binding sites of <em>pgi</em> and <em>gltA</em> to vary the flux ratios of the two pathway branches. Furthermore, a combinatorial repression library comprising 16 strains was constructed by varying <em>pgi</em> and <em>gltA</em> expression at four levels, and a plasmid containing mevalonate synthesis genes was introduced into each strain. Batch cultures were performed to obtain strains with mevalonate titers and yields 2.4- and 3.4-fold higher than those of the parent strain. Overall, our combinatorial suppression library of <em>pgi</em> and <em>gltA</em> facilitated the effective identification of mutants with optimal metabolism for mevalonate production.</div></div>","PeriodicalId":18695,"journal":{"name":"Metabolic Engineering Communications","volume":"22 ","pages":"Article e00270"},"PeriodicalIF":4.1000,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Metabolic Engineering Communications","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214030126000015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/13 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Optimization of flux distribution in central carbon metabolism is important to improve the microbial productivity. As the number of precursors required for synthesis differs for each target compound, optimal flux distribution also varies. A library of mutant strains with diverse flux distributions can aid in optimal strain screening. Therefore, in this study, we aimed to construct a library of Escherichia coli strains with stepwise changes in flux distribution by introducing mutations into the ribosome-binding sites of key enzyme genes on its chromosome. We focused on the flux ratios at the glucose-6-phosphate and acetyl-CoA branch points to enhance mevalonate production. Mutations were introduced into the ribosome-binding sites of pgi and gltA to vary the flux ratios of the two pathway branches. Furthermore, a combinatorial repression library comprising 16 strains was constructed by varying pgi and gltA expression at four levels, and a plasmid containing mevalonate synthesis genes was introduced into each strain. Batch cultures were performed to obtain strains with mevalonate titers and yields 2.4- and 3.4-fold higher than those of the parent strain. Overall, our combinatorial suppression library of pgi and gltA facilitated the effective identification of mutants with optimal metabolism for mevalonate production.
期刊介绍:
Metabolic Engineering Communications, a companion title to Metabolic Engineering (MBE), is devoted to publishing original research in the areas of metabolic engineering, synthetic biology, computational biology and systems biology for problems related to metabolism and the engineering of metabolism for the production of fuels, chemicals, and pharmaceuticals. The journal will carry articles on the design, construction, and analysis of biological systems ranging from pathway components to biological complexes and genomes (including genomic, analytical and bioinformatics methods) in suitable host cells to allow them to produce novel compounds of industrial and medical interest. Demonstrations of regulatory designs and synthetic circuits that alter the performance of biochemical pathways and cellular processes will also be presented. Metabolic Engineering Communications complements MBE by publishing articles that are either shorter than those published in the full journal, or which describe key elements of larger metabolic engineering efforts.