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Three-Dimensional Study of F. graminearum Colonisation of Stored Wheat: Post-Harvest Growth Patterns, Dry Matter Losses and Mycotoxin Contamination

Fusarium causes significant post-harvest quality losses and mycotoxin contamination in stored wheat but the colonisation dynamics of the grain and how this may be affected by the initial inoculum position in the grain mass is poorly understood. This study examined the 3D growth kinetics and mycotoxi...

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Autores principales: Portell, Xavier, Verheecke-Vaessen, Carol, Torrelles-Ràfales, Rosa, Medina, Angel, Otten, Wilfred, Magan, Naresh, García-Cela, Esther
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7465026/
https://www.ncbi.nlm.nih.gov/pubmed/32752221
http://dx.doi.org/10.3390/microorganisms8081170
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author Portell, Xavier
Verheecke-Vaessen, Carol
Torrelles-Ràfales, Rosa
Medina, Angel
Otten, Wilfred
Magan, Naresh
García-Cela, Esther
author_facet Portell, Xavier
Verheecke-Vaessen, Carol
Torrelles-Ràfales, Rosa
Medina, Angel
Otten, Wilfred
Magan, Naresh
García-Cela, Esther
author_sort Portell, Xavier
collection PubMed
description Fusarium causes significant post-harvest quality losses and mycotoxin contamination in stored wheat but the colonisation dynamics of the grain and how this may be affected by the initial inoculum position in the grain mass is poorly understood. This study examined the 3D growth kinetics and mycotoxin production (deoxynivalenol and zearalenone) by F. graminearum during hyphal colonisation from different initial inoculum positions in wheat microcosms (top-centre, bottom-centre, and bottom-side) maintained at two water activities (a(w); 0.95 and 0.97). Clear jars were used to visually follow the colonisation dynamics. Fungal respiration and associated dry matter loss (DML) and ergosterol were also quantified. Colonisation dynamics was shown to be affected by the inoculation position. At the end of the colonisation process, fungal respiration and DML were driven by the inoculation position, and the latter also by the prevailing a(w). Fungal biomass (ergosterol) was mainly affected by the a(w). The initial inoculum position did not affect the relative mycotoxin production. There was a positive correlation between respiration and ergosterol, and between mycotoxin production and colonisation indicators. We suggest that spatially explicit predictive models can be used to better understand the colonisation patterns and mycotoxin contamination of stored cereal commodities and to aid more effective post-harvest management.
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spelling pubmed-74650262020-09-04 Three-Dimensional Study of F. graminearum Colonisation of Stored Wheat: Post-Harvest Growth Patterns, Dry Matter Losses and Mycotoxin Contamination Portell, Xavier Verheecke-Vaessen, Carol Torrelles-Ràfales, Rosa Medina, Angel Otten, Wilfred Magan, Naresh García-Cela, Esther Microorganisms Article Fusarium causes significant post-harvest quality losses and mycotoxin contamination in stored wheat but the colonisation dynamics of the grain and how this may be affected by the initial inoculum position in the grain mass is poorly understood. This study examined the 3D growth kinetics and mycotoxin production (deoxynivalenol and zearalenone) by F. graminearum during hyphal colonisation from different initial inoculum positions in wheat microcosms (top-centre, bottom-centre, and bottom-side) maintained at two water activities (a(w); 0.95 and 0.97). Clear jars were used to visually follow the colonisation dynamics. Fungal respiration and associated dry matter loss (DML) and ergosterol were also quantified. Colonisation dynamics was shown to be affected by the inoculation position. At the end of the colonisation process, fungal respiration and DML were driven by the inoculation position, and the latter also by the prevailing a(w). Fungal biomass (ergosterol) was mainly affected by the a(w). The initial inoculum position did not affect the relative mycotoxin production. There was a positive correlation between respiration and ergosterol, and between mycotoxin production and colonisation indicators. We suggest that spatially explicit predictive models can be used to better understand the colonisation patterns and mycotoxin contamination of stored cereal commodities and to aid more effective post-harvest management. MDPI 2020-08-01 /pmc/articles/PMC7465026/ /pubmed/32752221 http://dx.doi.org/10.3390/microorganisms8081170 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Portell, Xavier
Verheecke-Vaessen, Carol
Torrelles-Ràfales, Rosa
Medina, Angel
Otten, Wilfred
Magan, Naresh
García-Cela, Esther
Three-Dimensional Study of F. graminearum Colonisation of Stored Wheat: Post-Harvest Growth Patterns, Dry Matter Losses and Mycotoxin Contamination
title Three-Dimensional Study of F. graminearum Colonisation of Stored Wheat: Post-Harvest Growth Patterns, Dry Matter Losses and Mycotoxin Contamination
title_full Three-Dimensional Study of F. graminearum Colonisation of Stored Wheat: Post-Harvest Growth Patterns, Dry Matter Losses and Mycotoxin Contamination
title_fullStr Three-Dimensional Study of F. graminearum Colonisation of Stored Wheat: Post-Harvest Growth Patterns, Dry Matter Losses and Mycotoxin Contamination
title_full_unstemmed Three-Dimensional Study of F. graminearum Colonisation of Stored Wheat: Post-Harvest Growth Patterns, Dry Matter Losses and Mycotoxin Contamination
title_short Three-Dimensional Study of F. graminearum Colonisation of Stored Wheat: Post-Harvest Growth Patterns, Dry Matter Losses and Mycotoxin Contamination
title_sort three-dimensional study of f. graminearum colonisation of stored wheat: post-harvest growth patterns, dry matter losses and mycotoxin contamination
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7465026/
https://www.ncbi.nlm.nih.gov/pubmed/32752221
http://dx.doi.org/10.3390/microorganisms8081170
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