ArticleBiotechnology for biofuels2012
A constraint-based model of Scheffersomyces stipitis for improved ethanol production.
Article in Biotechnology for biofuels, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Article
- Article
- Comprehensive Characterization of MutantJournal of microbiology and biotechnology · 2022Article
- Evaluating accessibility, usability and interoperability of genome-scale metabolic models for diverse yeasts species.FEMS yeast research · 2021Article
- Genome-scale metabolic reconstruction of the non-model yeastMetabolic engineering communications · 2020Article
- Reconstruction and Analysis of a Genome-Scale Metabolic Model ofFrontiers in microbiology · 2018Article
- Systems Biology Approach to Bioremediation of Nitroaromatics: Constraint-Based Analysis of 2,4,6-Trinitrotoluene Biotransformation by Escherichia coli.Molecules (Basel, Switzerland) · 2017Article
- Genome-scale modeling of yeast: chronology, applications and critical perspectives.FEMS yeast research · 2017Review
- Current state of genome-scale modeling in filamentous fungi.Biotechnology letters · 2015Review
- Insertion of a xylanase in xylose binding protein results in a xylose-stimulated xylanase.Biotechnology for biofuels · 2015Article
- The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of Pathway/Genome Databases.Nucleic acids research · 2014Article
- Characterization of newly isolated oleaginous yeasts - Cryptococcus podzolicus, Trichosporon porosum and Pichia segobiensis.AMB Express · 2014Article
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Authors and funding
4 authors.
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Abstract
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backgroundAs one of the best xylose utilization microorganisms, Scheffersomyces stipitis exhibits great potential for the efficient lignocellulosic biomass fermentation. Therefore, a comprehensive understanding of its unique physiological and metabolic characteristics is required to further improve its performance on cellulosic ethanol production.
resultsA constraint-based genome-scale metabolic model for S. stipitis CBS 6054 was developed on the basis of its genomic, transcriptomic and literature information. The model iTL885 consists of 885 genes, 870 metabolites, and 1240 reactions. During the reconstruction process, 36 putative sugar transporters were reannotated and the metabolisms of 7 sugars were illuminated. Essentiality study was conducted to predict essential genes on different growth media. Key factors affecting cell growth and ethanol formation were investigated by the use of constraint-based analysis. Furthermore, the uptake systems and metabolic routes of xylose were elucidated, and the optimization strategies for the overproduction of ethanol were proposed from both genetic and environmental perspectives.
conclusionsSystems biology modelling has proven to be a powerful tool for targeting metabolic changes. Thus, this systematic investigation of the metabolism of S. stipitis could be used as a starting point for future experiment designs aimed at identifying the metabolic bottlenecks of this important yeast.
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