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High Resolution Assessment of Spatio-Temporal Changes in O(2) Concentration in Root-Pathogen Interaction

Fusarium wilt, caused by the fungus Fusarium oxysporum f. sp. lycopersici (Fol), is one of the most destructive soil-borne diseases of tomatoes. Infection takes place on the roots and the process starts with contact between the fungus and the roots hairs. To date, no detailed studies are available o...

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Autores principales: Rodeghiero, Mirco, Rubol, Simonetta, Bellin, Alberto, Turco, Elena, Molinatto, Giulia, Gianelle, Damiano, Pertot, Ilaria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6041416/
https://www.ncbi.nlm.nih.gov/pubmed/30026738
http://dx.doi.org/10.3389/fmicb.2018.01491
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author Rodeghiero, Mirco
Rubol, Simonetta
Bellin, Alberto
Turco, Elena
Molinatto, Giulia
Gianelle, Damiano
Pertot, Ilaria
author_facet Rodeghiero, Mirco
Rubol, Simonetta
Bellin, Alberto
Turco, Elena
Molinatto, Giulia
Gianelle, Damiano
Pertot, Ilaria
author_sort Rodeghiero, Mirco
collection PubMed
description Fusarium wilt, caused by the fungus Fusarium oxysporum f. sp. lycopersici (Fol), is one of the most destructive soil-borne diseases of tomatoes. Infection takes place on the roots and the process starts with contact between the fungus and the roots hairs. To date, no detailed studies are available on metabolic activity in the early stages of the Fol and tomato root interaction. Spatial and temporal patterns of oxygen consumption could provide new insights into the dynamics of early colonization. Here, we combined planar optodes and spatial analysis to assess how tomato roots influence the metabolic activity and growth patterns of Fol. The results shows that the fungal metabolism, measured as oxygen consumption, increases within a few hours after the inoculation. Statistical analysis revealed that the fungus tends to growth toward the root, whereas, when the root is not present, the single elements of the fungus move with a Brownian motion (random). The combination of planar optodes and spatial analysis is a powerful new tool for assessing temporal and spatial dynamics in the early stages of root-pathogen interaction.
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spelling pubmed-60414162018-07-19 High Resolution Assessment of Spatio-Temporal Changes in O(2) Concentration in Root-Pathogen Interaction Rodeghiero, Mirco Rubol, Simonetta Bellin, Alberto Turco, Elena Molinatto, Giulia Gianelle, Damiano Pertot, Ilaria Front Microbiol Microbiology Fusarium wilt, caused by the fungus Fusarium oxysporum f. sp. lycopersici (Fol), is one of the most destructive soil-borne diseases of tomatoes. Infection takes place on the roots and the process starts with contact between the fungus and the roots hairs. To date, no detailed studies are available on metabolic activity in the early stages of the Fol and tomato root interaction. Spatial and temporal patterns of oxygen consumption could provide new insights into the dynamics of early colonization. Here, we combined planar optodes and spatial analysis to assess how tomato roots influence the metabolic activity and growth patterns of Fol. The results shows that the fungal metabolism, measured as oxygen consumption, increases within a few hours after the inoculation. Statistical analysis revealed that the fungus tends to growth toward the root, whereas, when the root is not present, the single elements of the fungus move with a Brownian motion (random). The combination of planar optodes and spatial analysis is a powerful new tool for assessing temporal and spatial dynamics in the early stages of root-pathogen interaction. Frontiers Media S.A. 2018-07-05 /pmc/articles/PMC6041416/ /pubmed/30026738 http://dx.doi.org/10.3389/fmicb.2018.01491 Text en Copyright © 2018 Rodeghiero, Rubol, Bellin, Turco, Molinatto, Gianelle and Pertot. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Rodeghiero, Mirco
Rubol, Simonetta
Bellin, Alberto
Turco, Elena
Molinatto, Giulia
Gianelle, Damiano
Pertot, Ilaria
High Resolution Assessment of Spatio-Temporal Changes in O(2) Concentration in Root-Pathogen Interaction
title High Resolution Assessment of Spatio-Temporal Changes in O(2) Concentration in Root-Pathogen Interaction
title_full High Resolution Assessment of Spatio-Temporal Changes in O(2) Concentration in Root-Pathogen Interaction
title_fullStr High Resolution Assessment of Spatio-Temporal Changes in O(2) Concentration in Root-Pathogen Interaction
title_full_unstemmed High Resolution Assessment of Spatio-Temporal Changes in O(2) Concentration in Root-Pathogen Interaction
title_short High Resolution Assessment of Spatio-Temporal Changes in O(2) Concentration in Root-Pathogen Interaction
title_sort high resolution assessment of spatio-temporal changes in o(2) concentration in root-pathogen interaction
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6041416/
https://www.ncbi.nlm.nih.gov/pubmed/30026738
http://dx.doi.org/10.3389/fmicb.2018.01491
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