Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2012 Jun 4:6:55.
doi: 10.1186/1752-0509-6-55.

Yeast 5 - an expanded reconstruction of the Saccharomyces cerevisiae metabolic network

Affiliations

Yeast 5 - an expanded reconstruction of the Saccharomyces cerevisiae metabolic network

Benjamin D Heavner et al. BMC Syst Biol. .

Abstract

Background: Efforts to improve the computational reconstruction of the Saccharomyces cerevisiae biochemical reaction network and to refine the stoichiometrically constrained metabolic models that can be derived from such a reconstruction have continued since the first stoichiometrically constrained yeast genome scale metabolic model was published in 2003. Continuing this ongoing process, we have constructed an update to the Yeast Consensus Reconstruction, Yeast 5. The Yeast Consensus Reconstruction is a product of efforts to forge a community-based reconstruction emphasizing standards compliance and biochemical accuracy via evidence-based selection of reactions. It draws upon models published by a variety of independent research groups as well as information obtained from biochemical databases and primary literature.

Results: Yeast 5 refines the biochemical reactions included in the reconstruction, particularly reactions involved in sphingolipid metabolism; updates gene-reaction annotations; and emphasizes the distinction between reconstruction and stoichiometrically constrained model. Although it was not a primary goal, this update also improves the accuracy of model prediction of viability and auxotrophy phenotypes and increases the number of epistatic interactions. This update maintains an emphasis on standards compliance, unambiguous metabolite naming, and computer-readable annotations available through a structured document format. Additionally, we have developed MATLAB scripts to evaluate the model's predictive accuracy and to demonstrate basic model applications such as simulating aerobic and anaerobic growth. These scripts, which provide an independent tool for evaluating the performance of various stoichiometrically constrained yeast metabolic models using flux balance analysis, are included as Additional files 1, 2 and 3.

Conclusions: Yeast 5 expands and refines the computational reconstruction of yeast metabolism and improves the predictive accuracy of a stoichiometrically constrained yeast metabolic model. It differs from previous reconstructions and models by emphasizing the distinction between the yeast metabolic reconstruction and the stoichiometrically constrained model, and makes both available as Additional file 4 and Additional file 5 and at http://yeast.sf.net/ as separate systems biology markup language (SBML) files. Through this separation, we intend to make the modeling process more accessible, explicit, transparent, and reproducible.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Using “isa” reactions. Yeast 5 uses “isa” reactions to encapsulate specific chemical species within more general classes. For example, A) the specific species inositol-P-ceramide-A “isa” inositol phosphoceramide (IPC). In turn, IPC “isa” complex sphingolipid. B) Complex sphingolipids participate in the stoichiometrically constrained reaction which produces the species “lipid”. C) The lipid species is a component of biomass. This hierarchical model structure embeds logic in the biomass definition: biomass consists of L-alanine AND phosphatidylcholine AND (inositol-P-ceramide-A OR Inositol-P-ceramide-B OR any of the 88 other complex sphingolipids included in the reconstruction). A model user is free to constrain the fluxes which produce specific complex sphingolipids to model an observed lipid composition, or may leave the model unconstrained if the more general biomass definition is sufficient for their needs

References

    1. Förster J, Famili I, Fu P, Palsson B, Nielsen J. Genome-Scale Reconstruction of the Saccharomyces cerevisiae Metabolic Network. Genome Res. 2003;13:244–253. doi: 10.1101/gr.234503. - DOI - PMC - PubMed
    1. Price ND, Reed JL, Palsson BO. Genome-scale models of microbial cells: evaluating the consequences of constraints. Nat Rev Microbiol. 2004;2:886–897. doi: 10.1038/nrmicro1023. - DOI - PubMed
    1. Feist AM, Herrgaard MJ, Thiele I, Reed JL, Palsson BO. Reconstruction of biochemical networks in microorganisms. Nat Rev Microbiol. 2008;7:129–143. - PMC - PubMed
    1. Kanehisa M, Goto S, Furumichi M, Tanabe M, Hirakawa M. KEGG for representation and analysis of molecular networks involving diseases and drugs. Nucleic Acids Res. 2010;38:D355–D360. doi: 10.1093/nar/gkp896. - DOI - PMC - PubMed
    1. Karp PD, Ouzounis CA, Moore-Kochlacs C, Goldovsky L, Kaipa P, Ahrén D, Tsoka S, Darzentas N, Kunin V, López-Bigas N. Expansion of the BioCyc collection of pathway/genome databases to 160 genomes. Nucleic Acids Res. 2005;33:6083–6089. doi: 10.1093/nar/gki892. - DOI - PMC - PubMed

Publication types