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A biological control model to manage the vector and the infection of Xylella fastidiosa on olive trees

Xylella fastidiosa pauca ST53 is the bacterium responsible for the Olive Quick Decline Syndrome that has killed millions of olive trees in Southern Italy. A recent work demonstrates that a rational integration of vector and transmission control measures, into a strategy based on chemical and physica...

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Autores principales: Liccardo, Antonella, Fierro, Annalisa, Garganese, Francesca, Picciotti, Ugo, Porcelli, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7192417/
https://www.ncbi.nlm.nih.gov/pubmed/32353044
http://dx.doi.org/10.1371/journal.pone.0232363
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author Liccardo, Antonella
Fierro, Annalisa
Garganese, Francesca
Picciotti, Ugo
Porcelli, Francesco
author_facet Liccardo, Antonella
Fierro, Annalisa
Garganese, Francesca
Picciotti, Ugo
Porcelli, Francesco
author_sort Liccardo, Antonella
collection PubMed
description Xylella fastidiosa pauca ST53 is the bacterium responsible for the Olive Quick Decline Syndrome that has killed millions of olive trees in Southern Italy. A recent work demonstrates that a rational integration of vector and transmission control measures, into a strategy based on chemical and physical control means, can manage Xylella fastidiosa invasion and impact below an acceptable economic threshold. In the present study, we propose a biological alternative to the chemical control action, which involves the predetermined use of an available natural enemy of Philaenus spumarius, i.e., Zelus renardii, for adult vector population and infection biocontrol. The paper combines two different approaches: a laboratory experiment to test the predation dynamics of Zelus renardii on Philaenus spumarius and its attitude as candidate for an inundation strategy; a simulated experiment of inundation, to preliminary test the efficacy of such strategy, before eventually proceeding to an in-field experimentation. With this double-fold approach we show that an inundation strategy with Zelus renardii has the potential to furnish an efficient and “green” solution to Xylella fastidiosa invasion, with a reduction of the pathogen incidence below 10%. The biocontrol model presented here could be promising for containing the impact and spread of Xylella fastidiosa, after an in-field validation of the inundation technique. Saving the fruit orchard, the production and the industry in susceptible areas could thus become an attainable goal, within comfortable parameters for sustainability, environmental safety, and effective plant health protection in organic orchard management.
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spelling pubmed-71924172020-05-11 A biological control model to manage the vector and the infection of Xylella fastidiosa on olive trees Liccardo, Antonella Fierro, Annalisa Garganese, Francesca Picciotti, Ugo Porcelli, Francesco PLoS One Research Article Xylella fastidiosa pauca ST53 is the bacterium responsible for the Olive Quick Decline Syndrome that has killed millions of olive trees in Southern Italy. A recent work demonstrates that a rational integration of vector and transmission control measures, into a strategy based on chemical and physical control means, can manage Xylella fastidiosa invasion and impact below an acceptable economic threshold. In the present study, we propose a biological alternative to the chemical control action, which involves the predetermined use of an available natural enemy of Philaenus spumarius, i.e., Zelus renardii, for adult vector population and infection biocontrol. The paper combines two different approaches: a laboratory experiment to test the predation dynamics of Zelus renardii on Philaenus spumarius and its attitude as candidate for an inundation strategy; a simulated experiment of inundation, to preliminary test the efficacy of such strategy, before eventually proceeding to an in-field experimentation. With this double-fold approach we show that an inundation strategy with Zelus renardii has the potential to furnish an efficient and “green” solution to Xylella fastidiosa invasion, with a reduction of the pathogen incidence below 10%. The biocontrol model presented here could be promising for containing the impact and spread of Xylella fastidiosa, after an in-field validation of the inundation technique. Saving the fruit orchard, the production and the industry in susceptible areas could thus become an attainable goal, within comfortable parameters for sustainability, environmental safety, and effective plant health protection in organic orchard management. Public Library of Science 2020-04-30 /pmc/articles/PMC7192417/ /pubmed/32353044 http://dx.doi.org/10.1371/journal.pone.0232363 Text en © 2020 Liccardo et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Liccardo, Antonella
Fierro, Annalisa
Garganese, Francesca
Picciotti, Ugo
Porcelli, Francesco
A biological control model to manage the vector and the infection of Xylella fastidiosa on olive trees
title A biological control model to manage the vector and the infection of Xylella fastidiosa on olive trees
title_full A biological control model to manage the vector and the infection of Xylella fastidiosa on olive trees
title_fullStr A biological control model to manage the vector and the infection of Xylella fastidiosa on olive trees
title_full_unstemmed A biological control model to manage the vector and the infection of Xylella fastidiosa on olive trees
title_short A biological control model to manage the vector and the infection of Xylella fastidiosa on olive trees
title_sort biological control model to manage the vector and the infection of xylella fastidiosa on olive trees
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7192417/
https://www.ncbi.nlm.nih.gov/pubmed/32353044
http://dx.doi.org/10.1371/journal.pone.0232363
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