Consistency between Saccharomyces cerevisiae S288C Genome Scale Models (iND750 and iMM904)
Kwok Ming Wong, Bryan JH Sim and Maurice HT Ling*
School of Applied Sciences, Temasek Polytechnic, Singapore
*Corresponding Author: Maurice HT Ling, School of Applied Sciences, Temasek Polytechnic, Singapore.
Received:
January 27, 2023; Published: February 15, 2023
Abstract
Saccharomyces cerevisiae is an important experimental organism for industrial and
scientific research with S. cerevisiae S288C as the first eukaryote genome sequenced.
Genome-scale metabolic models (GSMs) are computational tools to explore metabolic engineering
requirements. Currently, there are 2 major GSMs of S. cerevisiae S288C, iND750 and iMM904,
which raises the question of whether they are consistent to each other. Here, we compare iND750 and
iMM904 by examining the fluxomic changes resulting from single reaction knockouts. 40.5% to 50.3%
(n = 637) of the reactions are common in both GSMs. Of which, 64 (10.0% of common reactions, or between
4.1% and 5.2% of the total reactions in each GSM) reaction knockouts resulted in significant fluxomic
changes. This is significantly lower (t = -15.882, df = 30, p-value = 3.82E-16) from expected using
randomization test, suggesting that iND750 and iMM904 are likely to be consistent with each
other from the perspective of common reactions.
Keywords: Saccharomyces cerevisiae; Genome-scale Metabolic Models (GSMs);
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