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New R-Based Methodology to Optimize the Identification of Root Endophytes against Heterobasidion parviporum

Many root fungal endophytes inhabiting forest trees have potential impact on the health and disease progression of certain tree species. Hence, the screening of root endophytes for their biocontrol abilities is relevant for their potential to protect their hosts against invaders. The aim of this res...

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Detalles Bibliográficos
Autores principales: Rigerte, Linda, Blumenstein, Kathrin, Terhonen, Eeva
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6517935/
https://www.ncbi.nlm.nih.gov/pubmed/30959873
http://dx.doi.org/10.3390/microorganisms7040102
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author Rigerte, Linda
Blumenstein, Kathrin
Terhonen, Eeva
author_facet Rigerte, Linda
Blumenstein, Kathrin
Terhonen, Eeva
author_sort Rigerte, Linda
collection PubMed
description Many root fungal endophytes inhabiting forest trees have potential impact on the health and disease progression of certain tree species. Hence, the screening of root endophytes for their biocontrol abilities is relevant for their potential to protect their hosts against invaders. The aim of this research is to screen for the potential inhibitory effects of selected conifer root endophytes during interaction, in vitro, with the root rot pathogen, Heterobasidion parviporum. Here, we introduce a guideline that facilitates the use of root fungal endophytes as biocontrol agents. We isolated fungal root endophytes from eight different conifers. These root fungal endophytes were evaluated for their antagonism against the root rot pathogen, H. parviporum, by means of paired-culture antagonism assays. We determined the antagonism of the isolated root fungal endophytes to elucidate potential biocontrol applications. For the analysis, a software package in R was developed. Endophyte candidates with antagonistic potential were identified.
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spelling pubmed-65179352019-05-31 New R-Based Methodology to Optimize the Identification of Root Endophytes against Heterobasidion parviporum Rigerte, Linda Blumenstein, Kathrin Terhonen, Eeva Microorganisms Article Many root fungal endophytes inhabiting forest trees have potential impact on the health and disease progression of certain tree species. Hence, the screening of root endophytes for their biocontrol abilities is relevant for their potential to protect their hosts against invaders. The aim of this research is to screen for the potential inhibitory effects of selected conifer root endophytes during interaction, in vitro, with the root rot pathogen, Heterobasidion parviporum. Here, we introduce a guideline that facilitates the use of root fungal endophytes as biocontrol agents. We isolated fungal root endophytes from eight different conifers. These root fungal endophytes were evaluated for their antagonism against the root rot pathogen, H. parviporum, by means of paired-culture antagonism assays. We determined the antagonism of the isolated root fungal endophytes to elucidate potential biocontrol applications. For the analysis, a software package in R was developed. Endophyte candidates with antagonistic potential were identified. MDPI 2019-04-06 /pmc/articles/PMC6517935/ /pubmed/30959873 http://dx.doi.org/10.3390/microorganisms7040102 Text en © 2019 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
Rigerte, Linda
Blumenstein, Kathrin
Terhonen, Eeva
New R-Based Methodology to Optimize the Identification of Root Endophytes against Heterobasidion parviporum
title New R-Based Methodology to Optimize the Identification of Root Endophytes against Heterobasidion parviporum
title_full New R-Based Methodology to Optimize the Identification of Root Endophytes against Heterobasidion parviporum
title_fullStr New R-Based Methodology to Optimize the Identification of Root Endophytes against Heterobasidion parviporum
title_full_unstemmed New R-Based Methodology to Optimize the Identification of Root Endophytes against Heterobasidion parviporum
title_short New R-Based Methodology to Optimize the Identification of Root Endophytes against Heterobasidion parviporum
title_sort new r-based methodology to optimize the identification of root endophytes against heterobasidion parviporum
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6517935/
https://www.ncbi.nlm.nih.gov/pubmed/30959873
http://dx.doi.org/10.3390/microorganisms7040102
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