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Ascomycetes associated with ectomycorrhizas: molecular diversity and ecology with particular reference to the Helotiales


Tedersoo, L and Partel, K and Jarius, T and Gates, G and Poldmaa, K and Tamm, H, Ascomycetes associated with ectomycorrhizas: molecular diversity and ecology with particular reference to the Helotiales, Environmental Microbiology, 11, (12) pp. 3166-3178. ISSN 1462-2912 (2009) [Refereed Article]

DOI: doi:10.1111/j.1462-2920.2009.02020.x


Summary Mycorrhizosphere microbes enhance functioning of the plant-soil interface, but little is known of their ecology. This study aims to characterize the ascomycete communities associated with ectomycorrhizas in two Tasmanian wet sclerophyll forests. We hypothesize that both the phyto- and mycobiont, mantle type, soil microbiotope and geographical distance affect the diversity and occurrence of the associated ascomycetes. Using the culture-independent rDNA sequence analysis, we demonstrate a high diversity of these fungi on different hosts and habitats. Plant host has the strongest effect on the occurrence of the dominant species and community composition of ectomycorrhiza-associated fungi. Root endophytes, soil saprobes, myco-, phyto- and entomopathogens contribute to the ectomycorrhiza-associated ascomycete community. Taxonomically these Ascomycota mostly belong to the orders Helotiales, Hypocreales, Chaetothyriales and Sordariales. Members of Helotiales from both Tasmania and the Northern Hemisphere are phylogenetically closely related to root endophytes and ericoid mycorrhizal fungi, suggesting their strong ecological and evolutionary links. Ectomycorrhizal mycobionts from Australia and the Northern Hemisphere are taxonomically unrelated to each other and phylogenetically distant to other helotialean root-associated fungi, indicating independent evolution. The ubiquity and diversity of the secondary root-associated fungi should be considered in studies of mycorrhizal communities to avoid overestimating the richness of true symbionts. © 2009 Society for Applied Microbiology and Blackwell Publishing Ltd.

Item Details

Item Type:Refereed Article
Research Division:Mathematical Sciences
Research Group:Statistics
Research Field:Applied statistics
Objective Division:Plant Production and Plant Primary Products
Objective Group:Forestry
Objective Field:Native forests
UTAS Author:Gates, G (Dr Genevieve Gates)
ID Code:58508
Year Published:2009
Web of Science® Times Cited:108
Deposited By:Agricultural Science
Deposited On:2009-10-09
Last Modified:2015-02-02

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