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A genome-scale metabolic model of potato late blight suggests a photosynthesis suppression mechanism

BACKGROUND: Phytophthora infestans is a plant pathogen that causes an important plant disease known as late blight in potato plants (Solanum tuberosum) and several other solanaceous hosts. This disease is the main factor affecting potato crop production worldwide. In spite of the importance of the d...

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Autores principales: Botero, Kelly, Restrepo, Silvia, Pinzón, Andres
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6288859/
https://www.ncbi.nlm.nih.gov/pubmed/30537923
http://dx.doi.org/10.1186/s12864-018-5192-x
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author Botero, Kelly
Restrepo, Silvia
Pinzón, Andres
author_facet Botero, Kelly
Restrepo, Silvia
Pinzón, Andres
author_sort Botero, Kelly
collection PubMed
description BACKGROUND: Phytophthora infestans is a plant pathogen that causes an important plant disease known as late blight in potato plants (Solanum tuberosum) and several other solanaceous hosts. This disease is the main factor affecting potato crop production worldwide. In spite of the importance of the disease, the molecular mechanisms underlying the compatibility between the pathogen and its hosts are still unknown. RESULTS: To explain the metabolic response of late blight, specifically photosynthesis inhibition in infected plants, we reconstructed a genome-scale metabolic network of the S. tuberosum leaf, PstM1. This metabolic network simulates the effect of this disease in the leaf metabolism. PstM1 accounts for 2751 genes, 1113 metabolic functions, 1773 gene-protein-reaction associations and 1938 metabolites involved in 2072 reactions. The optimization of the model for biomass synthesis maximization in three infection time points suggested a suppression of the photosynthetic capacity related to the decrease of metabolic flux in light reactions and carbon fixation reactions. In addition, a variation pattern in the flux of carboxylation to oxygenation reactions catalyzed by RuBisCO was also identified, likely to be associated to a defense response in the compatible interaction between P. infestans and S. tuberosum. CONCLUSIONS: In this work, we introduced simultaneously the first metabolic network of S. tuberosum and the first genome-scale metabolic model of the compatible interaction of a plant with P. infestans. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-5192-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-62888592018-12-14 A genome-scale metabolic model of potato late blight suggests a photosynthesis suppression mechanism Botero, Kelly Restrepo, Silvia Pinzón, Andres BMC Genomics Research BACKGROUND: Phytophthora infestans is a plant pathogen that causes an important plant disease known as late blight in potato plants (Solanum tuberosum) and several other solanaceous hosts. This disease is the main factor affecting potato crop production worldwide. In spite of the importance of the disease, the molecular mechanisms underlying the compatibility between the pathogen and its hosts are still unknown. RESULTS: To explain the metabolic response of late blight, specifically photosynthesis inhibition in infected plants, we reconstructed a genome-scale metabolic network of the S. tuberosum leaf, PstM1. This metabolic network simulates the effect of this disease in the leaf metabolism. PstM1 accounts for 2751 genes, 1113 metabolic functions, 1773 gene-protein-reaction associations and 1938 metabolites involved in 2072 reactions. The optimization of the model for biomass synthesis maximization in three infection time points suggested a suppression of the photosynthetic capacity related to the decrease of metabolic flux in light reactions and carbon fixation reactions. In addition, a variation pattern in the flux of carboxylation to oxygenation reactions catalyzed by RuBisCO was also identified, likely to be associated to a defense response in the compatible interaction between P. infestans and S. tuberosum. CONCLUSIONS: In this work, we introduced simultaneously the first metabolic network of S. tuberosum and the first genome-scale metabolic model of the compatible interaction of a plant with P. infestans. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-5192-x) contains supplementary material, which is available to authorized users. BioMed Central 2018-12-11 /pmc/articles/PMC6288859/ /pubmed/30537923 http://dx.doi.org/10.1186/s12864-018-5192-x Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Botero, Kelly
Restrepo, Silvia
Pinzón, Andres
A genome-scale metabolic model of potato late blight suggests a photosynthesis suppression mechanism
title A genome-scale metabolic model of potato late blight suggests a photosynthesis suppression mechanism
title_full A genome-scale metabolic model of potato late blight suggests a photosynthesis suppression mechanism
title_fullStr A genome-scale metabolic model of potato late blight suggests a photosynthesis suppression mechanism
title_full_unstemmed A genome-scale metabolic model of potato late blight suggests a photosynthesis suppression mechanism
title_short A genome-scale metabolic model of potato late blight suggests a photosynthesis suppression mechanism
title_sort genome-scale metabolic model of potato late blight suggests a photosynthesis suppression mechanism
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6288859/
https://www.ncbi.nlm.nih.gov/pubmed/30537923
http://dx.doi.org/10.1186/s12864-018-5192-x
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