Genome-Scale Metabolic Model of Xanthomonas phaseoli pv. manihotis : An Approach to Elucidate Pathogenicity at the Metabolic Level.

Autor:	Botero D; Laboratory of Mycology and Plant Pathology (LAMFU), Department of Chemical and Food Engineering, Universidad de Los Andes, Bogotá, Colombia.; Grupo de Diseño de Productos y Procesos (GDPP), Department of Chemical and Food Engineering, Universidad de Los Andes, Bogotá, Colombia.; Max Planck Tandem Group in Computational Biology, Universidad de Los Andes, Bogotá, Colombia.; Grupo de Biología Computacional y Ecología Microbiana, Department of Biological Sciences, Universidad de Los Andes, Bogotá, Colombia., Monk J; Systems Biology Research Group, Department of Bioengineering, University of California, San Diego, San Diego, CA, United States., Rodríguez Cubillos MJ; Laboratory of Mycology and Plant Pathology (LAMFU), Department of Chemical and Food Engineering, Universidad de Los Andes, Bogotá, Colombia.; Grupo de Diseño de Productos y Procesos (GDPP), Department of Chemical and Food Engineering, Universidad de Los Andes, Bogotá, Colombia., Rodríguez Cubillos A; Department of Molecular Plant Physiology, Potsdam University, Potsdam, Germany., Restrepo M; Laboratory of Mycology and Plant Pathology (LAMFU), Department of Chemical and Food Engineering, Universidad de Los Andes, Bogotá, Colombia., Bernal-Galeano V; Laboratory of Mycology and Plant Pathology (LAMFU), Department of Chemical and Food Engineering, Universidad de Los Andes, Bogotá, Colombia., Reyes A; Max Planck Tandem Group in Computational Biology, Universidad de Los Andes, Bogotá, Colombia.; Grupo de Biología Computacional y Ecología Microbiana, Department of Biological Sciences, Universidad de Los Andes, Bogotá, Colombia., González Barrios A; Grupo de Diseño de Productos y Procesos (GDPP), Department of Chemical and Food Engineering, Universidad de Los Andes, Bogotá, Colombia., Palsson BØ; Systems Biology Research Group, Department of Bioengineering, University of California, San Diego, San Diego, CA, United States., Restrepo S; Laboratory of Mycology and Plant Pathology (LAMFU), Department of Chemical and Food Engineering, Universidad de Los Andes, Bogotá, Colombia., Bernal A; Laboratory of Molecular Interactions of Agricultural Microbes, LIMMA, Department of Biological Sciences, Universidad de Los Andes, Bogotá, Colombia.
Jazyk:	angličtina
Zdroj:	Frontiers in genetics [Front Genet] 2020 Aug 11; Vol. 11, pp. 837. Date of Electronic Publication: 2020 Aug 11 (Print Publication: 2020).
DOI:	10.3389/fgene.2020.00837
Abstrakt:	Xanthomonas phaseoli pv. manihotis ( Xpm ) is the causal agent of cassava bacterial blight, the most important bacterial disease in this crop. There is a paucity of knowledge about the metabolism of Xanthomonas and its relevance in the pathogenic process, with the exception of the elucidation of the xanthan biosynthesis route. Here we report the reconstruction of the genome-scale model of Xpm metabolism and the insights it provides into plant-pathogen interactions. The model, iXpm1556, displayed 1,556 reactions, 1,527 compounds, and 890 genes. Metabolic maps of central amino acid and carbohydrate metabolism, as well as xanthan biosynthesis of Xpm , were reconstructed using Escher (https://escher.github.io/) to guide the curation process and for further analyses. The model was constrained using the RNA-seq data of a mutant of Xpm for quorum sensing (QS), and these data were used to construct context-specific models (CSMs) of the metabolism of the two strains (wild type and QS mutant). The CSMs and flux balance analysis were used to get insights into pathogenicity, xanthan biosynthesis, and QS mechanisms. Between the CSMs, 653 reactions were shared; unique reactions belong to purine, pyrimidine, and amino acid metabolism. Alternative objective functions were used to demonstrate a trade-off between xanthan biosynthesis and growth and the re-allocation of resources in the process of biosynthesis. Important features altered by QS included carbohydrate metabolism, NAD(P) + balance, and fatty acid elongation. In this work, we modeled the xanthan biosynthesis and the QS process and their impact on the metabolism of the bacterium. This model will be useful for researchers studying host-pathogen interactions and will provide insights into the mechanisms of infection used by this and other Xanthomonas species. (Copyright © 2020 Botero, Monk, Rodríguez Cubillos, Rodríguez Cubillos, Restrepo, Bernal-Galeano, Reyes, González Barrios, Palsson, Restrepo and Bernal.)
Databáze:	MEDLINE
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