Giusi Favoino, Nicolas Krink, Tobias Schwanemann, Nick Wierckx, Pablo I. Nikel
{"title":"通过增加丙二酰-CoA 的供应量,提高假单胞菌工程菌株中聚(3-羟基丁酸)的生物合成能力。","authors":"Giusi Favoino, Nicolas Krink, Tobias Schwanemann, Nick Wierckx, Pablo I. Nikel","doi":"10.1111/1751-7915.70044","DOIUrl":null,"url":null,"abstract":"<p>Malonyl-coenzyme A (CoA) is a key precursor for the biosynthesis of multiple value-added compounds by microbial cell factories, including polyketides, carboxylic acids, biofuels, and polyhydroxyalkanoates. Owing to its role as a metabolic hub, malonyl-CoA availability is limited by competition in several essential metabolic pathways. To address this limitation, we modified a genome-reduced <i>Pseudomonas putida</i> strain to increase acetyl-CoA carboxylation while limiting malonyl-CoA utilization. Genes involved in sugar catabolism and its regulation, the tricarboxylic acid (TCA) cycle, and fatty acid biosynthesis were knocked-out in specific combinations towards increasing the malonyl-CoA pool. An enzyme-coupled biosensor, based on the <i>rppA</i> gene, was employed to monitor malonyl-CoA levels in vivo. RppA is a type III polyketide synthase that converts malonyl-CoA into flaviolin, a red-colored polyketide. We isolated strains displaying enhanced malonyl-CoA availability <i>via</i> a colorimetric screening method based on the RppA-dependent red pigmentation; direct flaviolin quantification identified four engineered strains had a significant increase in malonyl-CoA levels. We further modified these strains by adding a non-canonical pathway that uses malonyl-CoA as precursor for poly(3-hydroxybutyrate) biosynthesis. These manipulations led to increased polymer accumulation in the fully engineered strains, validating our general strategy to boost the output of malonyl-CoA–dependent pathways in <i>P</i>. <i>putida</i>.</p>","PeriodicalId":209,"journal":{"name":"Microbial Biotechnology","volume":"17 11","pages":""},"PeriodicalIF":5.7000,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11539682/pdf/","citationCount":"0","resultStr":"{\"title\":\"Enhanced biosynthesis of poly(3-hydroxybutyrate) in engineered strains of Pseudomonas putida via increased malonyl-CoA availability\",\"authors\":\"Giusi Favoino, Nicolas Krink, Tobias Schwanemann, Nick Wierckx, Pablo I. Nikel\",\"doi\":\"10.1111/1751-7915.70044\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Malonyl-coenzyme A (CoA) is a key precursor for the biosynthesis of multiple value-added compounds by microbial cell factories, including polyketides, carboxylic acids, biofuels, and polyhydroxyalkanoates. Owing to its role as a metabolic hub, malonyl-CoA availability is limited by competition in several essential metabolic pathways. To address this limitation, we modified a genome-reduced <i>Pseudomonas putida</i> strain to increase acetyl-CoA carboxylation while limiting malonyl-CoA utilization. Genes involved in sugar catabolism and its regulation, the tricarboxylic acid (TCA) cycle, and fatty acid biosynthesis were knocked-out in specific combinations towards increasing the malonyl-CoA pool. An enzyme-coupled biosensor, based on the <i>rppA</i> gene, was employed to monitor malonyl-CoA levels in vivo. RppA is a type III polyketide synthase that converts malonyl-CoA into flaviolin, a red-colored polyketide. We isolated strains displaying enhanced malonyl-CoA availability <i>via</i> a colorimetric screening method based on the RppA-dependent red pigmentation; direct flaviolin quantification identified four engineered strains had a significant increase in malonyl-CoA levels. We further modified these strains by adding a non-canonical pathway that uses malonyl-CoA as precursor for poly(3-hydroxybutyrate) biosynthesis. 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Enhanced biosynthesis of poly(3-hydroxybutyrate) in engineered strains of Pseudomonas putida via increased malonyl-CoA availability
Malonyl-coenzyme A (CoA) is a key precursor for the biosynthesis of multiple value-added compounds by microbial cell factories, including polyketides, carboxylic acids, biofuels, and polyhydroxyalkanoates. Owing to its role as a metabolic hub, malonyl-CoA availability is limited by competition in several essential metabolic pathways. To address this limitation, we modified a genome-reduced Pseudomonas putida strain to increase acetyl-CoA carboxylation while limiting malonyl-CoA utilization. Genes involved in sugar catabolism and its regulation, the tricarboxylic acid (TCA) cycle, and fatty acid biosynthesis were knocked-out in specific combinations towards increasing the malonyl-CoA pool. An enzyme-coupled biosensor, based on the rppA gene, was employed to monitor malonyl-CoA levels in vivo. RppA is a type III polyketide synthase that converts malonyl-CoA into flaviolin, a red-colored polyketide. We isolated strains displaying enhanced malonyl-CoA availability via a colorimetric screening method based on the RppA-dependent red pigmentation; direct flaviolin quantification identified four engineered strains had a significant increase in malonyl-CoA levels. We further modified these strains by adding a non-canonical pathway that uses malonyl-CoA as precursor for poly(3-hydroxybutyrate) biosynthesis. These manipulations led to increased polymer accumulation in the fully engineered strains, validating our general strategy to boost the output of malonyl-CoA–dependent pathways in P. putida.
期刊介绍:
Microbial Biotechnology publishes papers of original research reporting significant advances in any aspect of microbial applications, including, but not limited to biotechnologies related to: Green chemistry; Primary metabolites; Food, beverages and supplements; Secondary metabolites and natural products; Pharmaceuticals; Diagnostics; Agriculture; Bioenergy; Biomining, including oil recovery and processing; Bioremediation; Biopolymers, biomaterials; Bionanotechnology; Biosurfactants and bioemulsifiers; Compatible solutes and bioprotectants; Biosensors, monitoring systems, quantitative microbial risk assessment; Technology development; Protein engineering; Functional genomics; Metabolic engineering; Metabolic design; Systems analysis, modelling; Process engineering; Biologically-based analytical methods; Microbially-based strategies in public health; Microbially-based strategies to influence global processes