Industrial systems biology of Saccharomyces cerevisiae enables novel succinic acid cell factory

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 afte...

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Veröffentlicht in:PloS one 2013-01, Vol.8 (1), p.e54144-e54144
Hauptverfasser: Otero, José Manuel, Cimini, Donatella, Patil, Kiran R, Poulsen, Simon G, Olsson, Lisbeth, Nielsen, Jens
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container_issue 1
container_start_page e54144
container_title PloS one
container_volume 8
creator Otero, José Manuel
Cimini, Donatella
Patil, Kiran R
Poulsen, Simon G
Olsson, Lisbeth
Nielsen, Jens
description 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.
doi_str_mv 10.1371/journal.pone.0054144
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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. 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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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>23349810</pmid><doi>10.1371/journal.pone.0054144</doi><tpages>e54144</tpages><oa>free_for_read</oa></addata></record>
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1932-6203
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source MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; SWEPUB Freely available online; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS)
subjects Aldehyde-Lyases - genetics
Aldehyde-Lyases - metabolism
Amino acids
Bioengineering
bioethanol
Biofuels
Bioinformatics
Biological products
Biology
Biomass
Biotechnology
Carbon
Chemicals
Citric Acid Cycle
Clonal deletion
Conversion
Data analysis
Data processing
Dehydrogenase
Directed evolution
Directed Molecular Evolution - methods
Engineering
Ethanol
Evolution
Evolutionary algorithms
Factories
Fermentation
Fluxes
Gene deletion
Genetic engineering
Genomes
Genomics
Glucose metabolism
Glycine
Glycolysis
growth
Growth rate
Hypotheses
in-silico
Industrial Microbiology - methods
Industrial production
Information management
Intermediates
Interruption
Isocitrate lyase
Metabolic engineering
Metabolic Engineering - methods
Metabolism
Metabolites
Microorganisms
Models, Genetic
Molecular biology
Mutation
Oligonucleotide Array Sequence Analysis
Overexpression
Phosphoglycerate dehydrogenase
products
R&D
reconstruction
Reproducibility of Results
Research & development
Saccharomyces cerevisiae
Saccharomyces cerevisiae - genetics
Saccharomyces cerevisiae - growth & development
Saccharomyces cerevisiae - metabolism
Saccharomyces cerevisiae Proteins - genetics
Saccharomyces cerevisiae Proteins - metabolism
scale metabolic model
Serine
strains
Succinate dehydrogenase
Succinic acid
Succinic Acid - metabolism
Systems Biology - methods
Target recognition
Transaminases - genetics
Transaminases - metabolism
Transcriptome - genetics
Tricarboxylic acid cycle
validation
Yeast
title Industrial systems biology of Saccharomyces cerevisiae enables novel succinic acid cell factory
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