Curtis D Moore, Qingke Wang, Geng Wang, Jun Feng, Zhen Qin, Shang-Tian Yang
{"title":"In-Silico Analysis and Engineering of an Aldehyde/Alcohol Dehydrogenase for Alternative Cofactor Utilization and Selective Butanol Production.","authors":"Curtis D Moore, Qingke Wang, Geng Wang, Jun Feng, Zhen Qin, Shang-Tian Yang","doi":"10.1021/acssynbio.5c00003","DOIUrl":null,"url":null,"abstract":"<p><p>Biobutanol production by solventogenic <i>Clostridia</i> is limited by a low butanol titer and yield. To overcome this limitation, <i>Clostridium tyrobutyricum</i> was engineered to overexpress the <i>adh</i>E2 gene encoding a bifunctional aldehyde/alcohol dehydrogenase (AAD) for converting acetyl-CoA/butyryl-CoA to acetaldehyde/butyraldehyde and then to ethanol/butanol. In this study, we aimed to increase butanol biosynthesis in <i>C. tyrobutyricum</i> by engineering AAD targeting on amino acid residues in the enzyme catalytic center that could increase butanol:ethanol ratios and alter cofactor specificity. <i>In silico</i> mutagenesis and analysis via Rosetta analysis showed that several AAD point mutations could increase butanol production and selectivity over ethanol. We then created <i>C. tyrobutyricum</i> strains overexpressing various AAD mutants. Two AAD mutants, D485G and L488A, engineered to utilize NADPH as the cofactor, increased butanol production by over 100% in batch fermentation, with yields of 0.10-0.13 g/g (vs 0.05 g/g glucose for the wild-type AAD). Two additional AAD mutants, P619G and S601A_V608S_P619G, engineered for increased butanol selectivity, also gave higher butanol yields of 0.13-0.15 g/g. Butanol production further increased to 0.23 g/g when methyl viologen was added to the fermentation. This work leveraged <i>in silico</i> analysis to guide rational engineering of AAD with higher selectivity and activity for butanol production.</p>","PeriodicalId":26,"journal":{"name":"ACS Synthetic Biology","volume":" ","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Synthetic Biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1021/acssynbio.5c00003","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Biobutanol production by solventogenic Clostridia is limited by a low butanol titer and yield. To overcome this limitation, Clostridium tyrobutyricum was engineered to overexpress the adhE2 gene encoding a bifunctional aldehyde/alcohol dehydrogenase (AAD) for converting acetyl-CoA/butyryl-CoA to acetaldehyde/butyraldehyde and then to ethanol/butanol. In this study, we aimed to increase butanol biosynthesis in C. tyrobutyricum by engineering AAD targeting on amino acid residues in the enzyme catalytic center that could increase butanol:ethanol ratios and alter cofactor specificity. In silico mutagenesis and analysis via Rosetta analysis showed that several AAD point mutations could increase butanol production and selectivity over ethanol. We then created C. tyrobutyricum strains overexpressing various AAD mutants. Two AAD mutants, D485G and L488A, engineered to utilize NADPH as the cofactor, increased butanol production by over 100% in batch fermentation, with yields of 0.10-0.13 g/g (vs 0.05 g/g glucose for the wild-type AAD). Two additional AAD mutants, P619G and S601A_V608S_P619G, engineered for increased butanol selectivity, also gave higher butanol yields of 0.13-0.15 g/g. Butanol production further increased to 0.23 g/g when methyl viologen was added to the fermentation. This work leveraged in silico analysis to guide rational engineering of AAD with higher selectivity and activity for butanol production.
期刊介绍:
The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism.
Topics may include, but are not limited to:
Design and optimization of genetic systems
Genetic circuit design and their principles for their organization into programs
Computational methods to aid the design of genetic systems
Experimental methods to quantify genetic parts, circuits, and metabolic fluxes
Genetic parts libraries: their creation, analysis, and ontological representation
Protein engineering including computational design
Metabolic engineering and cellular manufacturing, including biomass conversion
Natural product access, engineering, and production
Creative and innovative applications of cellular programming
Medical applications, tissue engineering, and the programming of therapeutic cells
Minimal cell design and construction
Genomics and genome replacement strategies
Viral engineering
Automated and robotic assembly platforms for synthetic biology
DNA synthesis methodologies
Metagenomics and synthetic metagenomic analysis
Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction
Gene optimization
Methods for genome-scale measurements of transcription and metabolomics
Systems biology and methods to integrate multiple data sources
in vitro and cell-free synthetic biology and molecular programming
Nucleic acid engineering.