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TitleExploring Xylella fastidiosas metabolic traits using a GSM model of the phytopathogenic bacterium
Author(s)Oliveira, Alexandre Rafael Machado
Cunha, Emanuel Rodrigues
Silva, Miguel
Faria, Cristiana Silva
Dias, Oscar
KeywordsXylella fastidiosa
GSM modelling
Essentially analysis
Issue date2023
JournalLecture Notes in Networks and Systems
CitationOliveira, Alexandre; Cunha, Emanuel; Silva, Miguel; Faria, Cristiana; Dias, Oscar, Exploring Xylella fastidiosas Metabolic Traits Using a GSM Model of the Phytopathogenic Bacterium. Lecture Notes in Networks and Systems, Vol. 553, Springer Science and Business Media Deutschland GmbH, 2022. ISBN: 9783030862602
Abstract(s)Xylella fastidiosa is a gram-negative phytopathogenic bacterium able to infect over 500 plant species, with devastating consequences for agricultural and forest-based economies. In the last decade, genome-scale metabolic (GSM) models have become important systems biology tools for studying the metabolic behaviour of different organisms. In this work, a GSM model of X. fastidiosa subsp. pauca De Donno is presented, comprising 1164 reactions, 1379 metabolites, and 508 genes. The model was validated by comparing in silico simulations with available experimental data. The GSM model allowed identifying potential drug targets using a pipeline based on a gene essentiality analysis of the model.
TypeConference paper
DescriptionThe model presented in this work can be found in BioModels [26] with the identifier MODEL2205020002. To access the model: – Visit – Log in with the username reviewerForMODEL2205020002 and password DEMPB4. – Access to view the model.
First Online: 20 October 2022
Publisher version
AccessRestricted access (UMinho)
Appears in Collections:CEB - Livros e Capítulos de Livros / Books and Book Chapters

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