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Czajka JJ, Han Y, Kim J, Mondo SJ, Hofstad BA, Robles A, Haridas S, Riley R, LaButti K, Pangilinan J, Andreopoulos W, Lipzen A, Yan J, Wang M, Ng V, Grigoriev IV, Spatafora JW, Magnuson JK, Baker SE, Pomraning KR. Genome-scale model development and genomic sequencing of the oleaginous clade Lipomyces. Front Bioeng Biotechnol 2024; 12:1356551. [PMID: 38638323 PMCID: PMC11024372 DOI: 10.3389/fbioe.2024.1356551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 03/12/2024] [Indexed: 04/20/2024] Open
Abstract
The Lipomyces clade contains oleaginous yeast species with advantageous metabolic features for biochemical and biofuel production. Limited knowledge about the metabolic networks of the species and limited tools for genetic engineering have led to a relatively small amount of research on the microbes. Here, a genome-scale metabolic model (GSM) of Lipomyces starkeyi NRRL Y-11557 was built using orthologous protein mappings to model yeast species. Phenotypic growth assays were used to validate the GSM (66% accuracy) and indicated that NRRL Y-11557 utilized diverse carbohydrates but had more limited catabolism of organic acids. The final GSM contained 2,193 reactions, 1,909 metabolites, and 996 genes and was thus named iLst996. The model contained 96 of the annotated carbohydrate-active enzymes. iLst996 predicted a flux distribution in line with oleaginous yeast measurements and was utilized to predict theoretical lipid yields. Twenty-five other yeasts in the Lipomyces clade were then genome sequenced and annotated. Sixteen of the Lipomyces species had orthologs for more than 97% of the iLst996 genes, demonstrating the usefulness of iLst996 as a broad GSM for Lipomyces metabolism. Pathways that diverged from iLst996 mainly revolved around alternate carbon metabolism, with ortholog groups excluding NRRL Y-11557 annotated to be involved in transport, glycerolipid, and starch metabolism, among others. Overall, this study provides a useful modeling tool and data for analyzing and understanding Lipomyces species metabolism and will assist further engineering efforts in Lipomyces.
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Affiliation(s)
- Jeffrey J. Czajka
- Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, WA, United States
- US Department of Energy Agile BioFoundry, Emeryville, CA, United States
| | - Yichao Han
- Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, WA, United States
- US Department of Energy Agile BioFoundry, Emeryville, CA, United States
| | - Joonhoon Kim
- Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, WA, United States
- US Department of Energy Agile BioFoundry, Emeryville, CA, United States
- US Department of Energy Joint BioEnergy Institute, Emeryville, CA, United States
| | - Stephen J. Mondo
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
- Department of Agricultural Biology, Colorado State University, Fort Collins, CO, United States
- Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Beth A. Hofstad
- Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, WA, United States
- US Department of Energy Agile BioFoundry, Emeryville, CA, United States
| | - AnaLaura Robles
- Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, WA, United States
- US Department of Energy Agile BioFoundry, Emeryville, CA, United States
| | - Sajeet Haridas
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Robert Riley
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Kurt LaButti
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Jasmyn Pangilinan
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - William Andreopoulos
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Anna Lipzen
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Juying Yan
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Mei Wang
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Vivian Ng
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
| | - Igor V. Grigoriev
- US Department of Energy Joint Genome Institute, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
- Department of Plant and Microbial Biology, University of California, Berkeley, Berkeley, CA, United States
| | - Joseph W. Spatafora
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, United States
| | - Jon K. Magnuson
- Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, WA, United States
- US Department of Energy Agile BioFoundry, Emeryville, CA, United States
- US Department of Energy Joint BioEnergy Institute, Emeryville, CA, United States
| | - Scott E. Baker
- US Department of Energy Agile BioFoundry, Emeryville, CA, United States
- US Department of Energy Joint BioEnergy Institute, Emeryville, CA, United States
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, United States
| | - Kyle R. Pomraning
- Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, WA, United States
- US Department of Energy Agile BioFoundry, Emeryville, CA, United States
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Tippelt A, Nett M. Saccharomyces cerevisiae as host for the recombinant production of polyketides and nonribosomal peptides. Microb Cell Fact 2021; 20:161. [PMID: 34412657 PMCID: PMC8374128 DOI: 10.1186/s12934-021-01650-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 08/05/2021] [Indexed: 01/30/2023] Open
Abstract
As a robust, fast growing and genetically tractable organism, the budding yeast Saccharomyces cerevisiae is one of the most widely used hosts in biotechnology. Its applications range from the manufacturing of vaccines and hormones to bulk chemicals and biofuels. In recent years, major efforts have been undertaken to expand this portfolio to include structurally complex natural products, such as polyketides and nonribosomally synthesized peptides. These compounds often have useful pharmacological properties, which make them valuable drugs for the treatment of infectious diseases, cancer, or autoimmune disorders. In nature, polyketides and nonribosomal peptides are generated by consecutive condensation reactions of short chain acyl-CoAs or amino acids, respectively, with the substrates and reaction intermediates being bound to large, multidomain enzymes. For the reconstitution of these multistep catalytic processes, the enzymatic assembly lines need to be functionally expressed and the required substrates must be supplied in reasonable quantities. Furthermore, the production hosts need to be protected from the toxicity of the biosynthetic products. In this review, we will summarize and evaluate the status quo regarding the heterologous production of polyketides and nonribosomal peptides in S. cerevisiae. Based on a comprehensive literature analysis, prerequisites for a successful pathway reconstitution could be deduced, as well as recurring bottlenecks in this microbial host.
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Affiliation(s)
- Anna Tippelt
- Department of Biochemical and Chemical Engineering, Laboratory of Technical Biology, TU Dortmund University, Emil-Figge-Strasse 66, 44227, Dortmund, Germany
| | - Markus Nett
- Department of Biochemical and Chemical Engineering, Laboratory of Technical Biology, TU Dortmund University, Emil-Figge-Strasse 66, 44227, Dortmund, Germany.
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