Foliar fungi of Betula pendula : impact of tree species mixtures and assessment methods. / Nguyen, Diem; Boberg, Johanna; Cleary, Michelle ; Bruelheide, Helge; Honig, Lydia; Koricheva, Julia; Stenlid, Jan.

In: Scientific Reports, Vol. 7, 41801, 02.02.2017, p. 1-11.

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  • Diem Nguyen
  • Johanna Boberg
  • Michelle Cleary
  • Helge Bruelheide
  • Lydia Honig
  • Julia Koricheva
  • Jan Stenlid

Abstract

Foliar fungi of silver birch (Betula pendula) in an experimental Finnish forest were investigated across a gradient of tree species richness using molecular high-throughput sequencing and visual macroscopic assessment. We hypothesized that the molecular approach detects more fungal taxa than visual assessment, and that there is a relationship among the most common fungal taxa detected by both techniques. Furthermore, we hypothesized that the fungal community composition, diversity, and distribution patterns are affected by changes in tree diversity. Sequencing revealed greater diversity of fungi on birch leaves than the visual assessment method. One species showed a linear relationship between the methods. Species-specific variation in fungal community composition could be partially explained by tree diversity, though overall fungal diversity was not affected by tree diversity. Analysis of specific fungal taxa indicated tree diversity effects at the local neighbourhood scale, where the proportion of birch among neighbouring trees varied, but not at the plot scale. In conclusion, both methods may be used to determine tree diversity effects on the foliar fungal community. However, high-throughput sequencing provided higher resolution of the fungal community, while the visual macroscopic assessment detected functionally active fungal species.
Original languageEnglish
Article number41801
Pages (from-to)1-11
Number of pages11
JournalScientific Reports
Volume7
DOIs
Publication statusPublished - 2 Feb 2017
This open access research output is licenced under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.

ID: 27693403