Towards improved genome-scale metabolic network reconstructions: unification, transcript specificity and beyond

Abstract

Genome-scale metabolic network reconstructions provide a basis for the investigation of the metabolic properties of an organism. There are reconstructions available for multiple organisms, from prokaryotes to higher organisms and methods for the analysis of a reconstruction. One example is the use of flux balance analysis to improve the yields of a target chemical, which has been applied successfully. However, comparison of results between existing reconstructions and models presents a challenge because of the heterogeneity of the available reconstructions, for example, of standards for presenting gene-protein-reaction associations, nomenclature of metabolites and reactions or selection of protonation states. The lack of comparability for gene identifiers or model-specific reactions without annotated evidence often leads to the creation of a new model from scratch, as data cannot be properly matched otherwise. In this contribution, we propose to improve the predictive power of metabolic models by switching from gene-protein-reaction associations to transcript-isoform-reaction associations, thus taking advantage of the improvement of precision in gene expression measurements. To achieve this precision, we discuss available databases that can be used to retrieve this type of information and point at issues that can arise from their neglect. Further, we stress issues that arise from non-standardized building pipelines, like inconsistencies in protonation states. In addition, problems arising from the use of non-specific cofactors, e.g. artificial futile cycles, are discussed, and finally efforts of the metabolic modelling community to unify model reconstructions are highlighted.

Keywords: gene-protein-reaction association; metabolic network reconstruction; unification.

Figure 1

Alternative splice forms are created by removal and addition of exons during the splicing process. This example shows two the alternate splice forms i1 (depicted in black) and i2 (depicted in red) of a human glucuronosyltransferase (UGT1A). The main isoforme, i1, is implicated in the metabolism and excretion of toxic compounds, e.g. drugs like codeine, while isoform i2 inhibits the activity of the main isoform. A colour version of this figure is available online at BIB online: https://academic.oup.com/bib.