5th Conference on Constraint-Based Reconstruction and Analysis (COBRA 2018)
Modeling of Potentially Virulence-Associated Metabolic Pathways in Pseudomonas Aeruginosa PA14 Including Experimental Verification
Authors
First, differences in the sequences of the two strains were identified by performing SNP analysis. These differences were then used to find metabolic alterations affecting the virulence. By using FBA and in-silico gene knock-out, three genes were identified that could be responsible for the difference in pathogenicity between the laboratory and the highly pathogenic patient strain. These genes affect metabolic reactions that are associated with virulence in P. aeruginosa. Gene knock-outs of these three genes are momentarily being performed in a laboratory experiment to verify their metabolic relevance in virulence.
However, only a fraction of the genes of P. aeruginosa is included in the published model. Many additional genes are associated with virulence, differ between the sequenced laboratory and patient strains, or both. Therefore, the model is being extended to increase its predictive value.
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