Cited by 1,069Microbial Metabolic Engineering and BioproductionGene Regulatory Network AnalysisBioinformatics and Genomic Networks

Genome-Scale Reconstruction of the Saccharomyces cerevisiae Metabolic Network

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Förster, Jochen, Famili, Iman, Fu, Patrick, Palsson, Bernhard Ø., Nielsen, Jens·2003·Genome Research

Abstract

The metabolic network in the yeast Saccharomyces cerevisiae was reconstructed using currently available genomic, biochemical, and physiological information. The metabolic reactions were compartmentalized between the cytosol and the mitochondria, and transport steps between the compartments and the environment were included. A total of 708 structural open reading frames (ORFs) were accounted for in the reconstructed network, corresponding to 1035 metabolic reactions. Further, 140 reactions were included on the basis of biochemical evidence resulting in a genome-scale reconstructed metabolic network containing 1175 metabolic reactions and 584 metabolites. The number of gene functions included in the reconstructed network corresponds to ∼16% of all characterized ORFs in S. cerevisiae . Using the reconstructed network, the metabolic capabilities of S. cerevisiae were calculated and compared with Escherichia coli . The reconstructed metabolic network is the first comprehensive network for a eukaryotic organism, and it may be used as the basis for in silico analysis of phenotypic functions. [Supplemental material is available online at www.genome.org . The detailed genome-scale reconstructed model of Saccharomyces cerevisiae can be found at http://www.cpb.dtu.dk/models/yeastmodel.html or http://geneticcircuits.ucsd.edu/organisms/yeast.html .]

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  • Earlier modeling with flux balance analysis put net cellular ATP production at about 59 mmol per gDW per hour.

    “Previously, using genome-scale models and flux balance analysis it had been estimated that the net production of ATP in the cell forms approximately 59 mmol ATP gDW 1 h 1 (Forster et al., 2003).”
  • The net ATP production required for growth and non-growth processes under reference conditions was 59 mmol-ATP gDW−1 h−1.

    “ATP requirement (growth and non-growth related ATP net production) under the reference environmental conditions was 59 mmol-ATP gDW 1 h 1 (Forster et al., 2003).”
  • Integration of bibliographic, metabolomic, and genomic data has been used to reconstruct the dynamic range of metabolome flow of organisms, first in Escherichia coli and extended to yeast, mice, and humans.

    “For example, the integration of bibliographic, metabolomic, and genomic data have been used to reconstruct the dynamic range of metabolome flow of organisms, first performed in Escherichia coli [35] and since extended to yeast [36, 37] and to individual tissues in mice [38] and humans [39].”

    From Multi-omics approaches to disease (2017) · cites this paper as [36]

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Research works printed but not linked: 2

  1. Taylor & Francis, London, UK.
  2. Edwards, J.S., Ramakrishna, R., Schilling, C.H., and Palsson, B.Ø. 1999. Metabolic flux balance analysis. In Metabolic engineering (eds. S.Y. Lee and E.T. Papoutsakis), pp. 13-57 Marcel Dekker Inc. New York, NY.

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Authors
Förster, J., Famili, I., Fu, P., Palsson, B. Ø., & Nielsen, J.
Affiliations
University of California San Diego (US)
Venue
Genome Research
Published
2003-02-01
Volume
13
Issue
2
Pages
244-253
ISSN
  • 1088-9051 (ISSN-L)
  • 1549-5469
OpenAlex
W2128572161
Cited by
1,069
References
62
Citations by year
2026: 8 · 2025: 14 · 2024: 21 · 2023: 23 · 2022: 23 · 2021: 26 · 2020: 34 · 2019: 42 · 2018: 30 · 2017: 36 · 2016: 37 · 2015: 47 · 2014: 60 · 2013: 60 · 2012: 57
Type
posted content
Language
en
Open access
Locations
  • Genome Research (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Science Foundation (9873384, 9814092)
  • National Institutes of Health
  • National Institute of General Medical Sciences (GM-57089, R01GM057089)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
Keywords
Saccharomyces cerevisiae, genome-scale metabolic networks, metabolic network reconstruction, metabolic reactions, metabolites, open reading frames, mitochondrial compartmentalization, transport reactions, eukaryotic metabolism, metabolic capacity, Escherichia coli comparison
MeSH terms
Amino Acids, Enzyme Precursors, Escherichia coli, Genes, Fungal, Phenotype, Protein Precursors, Saccharomyces cerevisiae, Open Reading Frames, Genome, Fungal, Computational Biology, Saccharomyces cerevisiae Proteins, Databases, Genetic, Databases, Protein

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