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Phenotype MicroArrays as a complementary tool to next generation sequencing for characterization of tree endophytes
Swedish University of Agricultural Sciences, Sweden.
Technical University of Madrid, Spain.
Technical University of Madrid, Spain.
Umeå University, Sweden;University of Copenhagen, Denmark.
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2015 (English)In: Frontiers in Microbiology, E-ISSN 1664-302X, Vol. 6, article id 1033Article in journal (Refereed) Published
Abstract [en]

There is an increasing need to calibrate microbial community profiles obtained through next generation sequencing (NGS) with relevant taxonomic identities of the microbes, and to further associate these identities with phenotypic attributes. Phenotype MicroArray (PM) techniques provide a semi-high throughput assay for characterization and monitoring the microbial cellular phenotypes. Here, we present detailed descriptions of two different PM protocols used in our recent studies on fungal endophytes of forest trees, and highlight the benefits and limitations of this technique. We found that the PM approach enables effective screening of substrate utilization by endophytes. However, the technical limitations are multifaceted and the interpretation of the PM data challenging. For the best result, we recommend that the growth conditions for the fungi are carefully standardized. In addition, rigorous replication and control strategies should be employed whether using pre-configured, commercial microwell-plates or in-house designed PM plates for targeted substrate analyses. With these precautions, the PM technique is a valuable tool to characterize the metabolic capabilities of individual endophyte isolates, or successional endophyte communities identified by NGS, allowing a functional interpretation of the taxonomic data. Thus, PM approaches can provide valuable complementary information for NGS studies of fungal endophytes in forest trees.

Place, publisher, year, edition, pages
2015. Vol. 6, article id 1033
Keywords [en]
Biolog PM, fungal phenotype, fungus–fungus interactions, nutrient utilization, phenolic compounds
National Category
Microbiology Forest Science
Research subject
Ecology, Microbiology
Identifiers
URN: urn:nbn:se:lnu:diva-108765DOI: 10.3389/fmicb.2015.01033PubMedID: 26441951OAI: oai:DiVA.org:lnu-108765DiVA, id: diva2:1625168
Funder
Swedish Research Council Formas, 2008-01090Available from: 2022-01-06 Created: 2022-01-06 Last updated: 2024-01-17Bibliographically approved

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Witzell, Johanna

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CiteExportLink to record
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