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

2019 | journal article. A publication with affiliation to the University of Göttingen.

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​New R-Based Methodology to Optimize the Identification of Root Endophytes against Heterobasidion parviporum.​
Rigerte, L.; Blumenstein, K. & Terhonen, E.​ (2019) 
Microorganisms7(4) art. 102​.​ DOI: https://doi.org/10.3390/microorganisms7040102 

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Authors
Rigerte, Linda; Blumenstein, Kathrin; Terhonen, Eeva
Abstract
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.
Issue Date
2019
Journal
Microorganisms 
Organization
Fakultät für Forstwissenschaften und Waldökologie ; Büsgen-Institut ; Abteilung Forstbotanik und Baumphysiologie 
eISSN
2076-2607
Language
English

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