ArticlePloS one2013
Industrial systems biology of Saccharomyces cerevisiae enables novel succinic acid cell factory.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.
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60 citing papers in PubMed, 170 citations in OpenAlex.
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- Unlocking the Bioactive Potential of Streptomyces: A Multidisciplinary Approach to Strain Improvement.MicrobiologyOpen · 2026Review
- Enhanced Succinate Production inBiotech (Basel (Switzerland)) · 2025Article
- Computational biology predicts metabolic engineering targets for increased production of 103 valuable chemicals in yeast.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- RBI: a novel algorithm for regulatory-metabolic network model in designing the optimal mutant strain.PeerJ. Computer science · 2025Article
- Pichia pastoris growth-coupled heme biosynthesis analysis using metabolic modelling.Scientific reports · 2023Article
- Strain design optimization using reinforcement learning.PLoS computational biology · 2022Article
- Microbial production of advanced biofuels.Nature reviews. Microbiology · 2021Review
- Metabolic flux sampling predicts strain-dependent differences related to aroma production among commercial wine yeasts.Microbial cell factories · 2021Article
- Model-guided development of an evolutionarily stable yeast chassis.Molecular systems biology · 2021Article
- High level production of itaconic acid at low pH by Ustilago maydis with fed-batch fermentation.Bioprocess and biosystems engineering · 2021Article
- Genome-scale metabolic reconstruction of the non-model yeastMetabolic engineering communications · 2020Article
- Genome-scale metabolic rewiring improves titers rates and yields of the non-native product indigoidine at scale.Nature communications · 2020Article
- Investigation of Bar-seq as a method to study population dynamics of Saccharomyces cerevisiae deletion library during bioreactor cultivation.Microbial cell factories · 2020Article
- Current Status and Applications of Adaptive Laboratory Evolution in Industrial Microorganisms.Journal of microbiology and biotechnology · 2020Review
- An Artificial Neural Network Assisted Dynamic Light Scattering Procedure for Assessing Living Cells Size in Suspension.Sensors (Basel, Switzerland) · 2020Article
- QTL mapping of modelled metabolic fluxes reveals gene variants impacting yeast central carbon metabolism.Scientific reports · 2020Article
- The emergence of adaptive laboratory evolution as an efficient tool for biological discovery and industrial biotechnology.Metabolic engineering · 2019Review
- Evaluation of pyruvate decarboxylase-negativeEngineering in life sciences · 2019Article
- Comparison of pathway analysis and constraint-based methods for cell factory design.BMC bioinformatics · 2019Article
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Authors and funding
6 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Saccharomyces cerevisiae is the most well characterized eukaryote, the preferred microbial cell factory for the largest industrial biotechnology product (bioethanol), and a robust commerically compatible scaffold to be exploitted for diverse chemical production. Succinic acid is a highly sought after added-value chemical for which there is no native pre-disposition for production and accmulation in S. cerevisiae. The genome-scale metabolic network reconstruction of S. cerevisiae enabled in silico gene deletion predictions using an evolutionary programming method to couple biomass and succinate production. Glycine and serine, both essential amino acids required for biomass formation, are formed from both glycolytic and TCA cycle intermediates. Succinate formation results from the isocitrate lyase catalyzed conversion of isocitrate, and from the α-keto-glutarate dehydrogenase catalyzed conversion of α-keto-glutarate. Succinate is subsequently depleted by the succinate dehydrogenase complex. The metabolic engineering strategy identified included deletion of the primary succinate consuming reaction, Sdh3p, and interruption of glycolysis derived serine by deletion of 3-phosphoglycerate dehydrogenase, Ser3p/Ser33p. Pursuing these targets, a multi-gene deletion strain was constructed, and directed evolution with selection used to identify a succinate producing mutant. Physiological characterization coupled with integrated data analysis of transcriptome data in the metabolically engineered strain were used to identify 2(nd)-round metabolic engineering targets. The resulting strain represents a 30-fold improvement in succinate titer, and a 43-fold improvement in succinate yield on biomass, with only a 2.8-fold decrease in the specific growth rate compared to the reference strain. Intuitive genetic targets for either over-expression or interruption of succinate producing or consuming pathways, respectively, do not lead to increased succinate. Rather, we demonstrate how systems biology tools coupled with directed evolution and selection allows non-intuitive, rapid and substantial re-direction of carbon fluxes in S. cerevisiae, and hence show proof of concept that this is a potentially attractive cell factory for over-producing different platform chemicals.
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