An updated genome-scale model for Xylella fastidiosa subsp. pauca De Donno

Abstract

Xylella fastidiosa is a gram-negative phytopathogenic bacterium that caused a significant economic impact around the world. In the last decade, genome-scale metabolic models have become important systems biology tools for studying the metabolic behaviour of different pathogens and driving the discovery of novel drug targets. This work is a second iteration of the iMS508 model for X. fastidiosa subsp. pauca De Donno. The model comprises 1138 reactions, 1234 metabolites, and 509 genes. in silico validation of the metabolic model was achieved through the comparison of simulations with available experimental data. Aerobic metabolism was simulated properly and fastidian gum production rates predicted accurately.