Version 6 of the consensus yeast metabolic network refines biochemical coverage and improves model performance

Area of Science:

• Systems Biology
• Metabolic Engineering
• Computational Biology

Background:

• Maintaining an up-to-date reconstruction of the yeast metabolic network is crucial for accurate biological insights.
• Previous versions of the yeast metabolic network required updates to address inaccuracies and expand coverage.

Purpose of the Study:

• To present version 6 of the consensus yeast metabolic network (Yeast 6) for Saccharomyces cerevisiae.
• To improve the accuracy and comprehensiveness of the genome-scale metabolic model.
• To provide an updated computational resource for studying yeast metabolism.

Main Methods:

• Computational reconstruction of the genome-scale metabolic network of Saccharomyces cerevisiae S288c.
• Incorporation of 1458 metabolites, 1888 reactions, and 900 gene annotations.
• Validation using flux balance analysis to assess gene essentiality predictions.

Main Results:

• Yeast 6 demonstrates improved sensitivity, specificity, and predictive values for gene essentiality compared to Yeast 5.
• The model shows enhanced accuracy in predicting auxotrophy likelihood.
• The reconstruction is available in Systems Biology Markup Language (SBML) format with MIRIAM-compliant annotations.

Conclusions:

• Yeast 6 represents a state-of-the-art reconstruction of the yeast metabolic network.
• The updated model offers enhanced predictive capabilities for yeast gene function and metabolic behavior.
• This resource facilitates further research into Saccharomyces cerevisiae metabolism and functional organization.