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Cited by 195

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Ericoid mycorrhiza: a partnership that exploits harsh edaphic conditions

Cairney, J. W. G., Meharg, A. A.·2003·European Journal of Soil Science

Abstract

Summary: Plants that form ericoid mycorrhizal associations are widespread in harsh habitats. Ericoid mycorrhizal fungal endophytes are a genetically diverse group, and they appear to be able to alleviate certain environmental stresses and so facilitate the establishment and survival of Ericaceae. Some of the fungal taxa that form ericoid mycorrhizas, or at least closely related strains, also form associations with other plant hosts (trees and leafy liverworts). The functional significance of these associations and putative mycelial links between Ericaceae and other plant taxa, however, remain unclear. Evidence from environments that are contaminated by toxic metals indicates that ericoid mycorrhizal fungal endophytes, and in some instances their plant hosts, can evolve resistance to these metals. The apparent ability of these endophytes to develop resistance enables ericoid mycorrhizal plants to colonize polluted soil. This seems to be a major factor in the success of ericoid mycorrhizal taxa in a range of harsh environments.

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Metadata

Authors
Cairney, J. W. G., & Meharg, A. A.
Venue
European Journal of Soil Science
Publisher
Wiley
Published
2003-10-09
Volume
54
Issue
4
Pages
735-740
ISSN
  • 1351-0754 (ISSN-L)
  • 1365-2389
OpenAlex
W2021410865
Cited by
195
References
0
FWCI
6.12
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Ericoid mycorrhiza: a partnership that exploits harsh edaphic conditions. https://app.cochat.ai/papers/10.1046/j.1351-0754.2003.0555.x
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Cairney, J. W. G., & Meharg, A. A. (2003). Ericoid mycorrhiza: a partnership that exploits harsh edaphic conditions. European Journal of Soil Science. https://doi.org/10.1046/j.1351-0754.2003.0555.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.