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Host preference and network properties in biotrophic plant-fungal associations
S. Põlme, M. Bahram, H. Jacquemyn, P. Kennedy, P. Kohout, M. Moora, J. Oja, M. Öpik, L. Pecoraro, L. Tedersoo,
Language English Country Great Britain
Document type Journal Article, Research Support, Non-U.S. Gov't
NLK
Free Medical Journals
from 1902 to 1 year ago
Wiley Free Content
from 1997 to 1 year ago
PubMed
29165806
DOI
10.1111/nph.14895
Knihovny.cz E-resources
- MeSH
- Rain MeSH
- Host Specificity MeSH
- Fungi physiology MeSH
- Host-Pathogen Interactions physiology MeSH
- Plants microbiology MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
Analytical methods can offer insights into the structure of biological networks, but mechanisms that determine the structure of these networks remain unclear. We conducted a synthesis based on 111 previously published datasets to assess a range of ecological and evolutionary mechanisms that may influence the plant-associated fungal interaction networks. We calculated the relative host effect on fungal community composition and compared nestedness and modularity among different mycorrhizal types and endophytic fungal guilds. We also assessed how plant-fungal network structure was related to host phylogeny, environmental and sampling properties. Orchid mycorrhizal fungal communities responded most strongly to host identity, but the effect of host was similar among all other fungal guilds. Community nestedness, which did not differ among fungal guilds, declined significantly with increasing mean annual precipitation on a global scale. Orchid and ericoid mycorrhizal fungal communities were more modular than ectomycorrhizal and root endophytic communities, with arbuscular mycorrhizal fungi in an intermediate position. Network properties among a broad suite of plant-associated fungi were largely comparable and generally unrelated to phylogenetic distance among hosts. Instead, network metrics were predominantly affected by sampling and matrix properties, indicating the importance of study design in properly inferring ecological patterns.
Department of Botany University of Tartu 40 Lai Street 51005 Tartu Estonia
Department of Plant Biology University of Minnesota 1445 Gortner Ave St Paul MN 55108 USA
Natural History Museum University of Tartu 14a Ravila 50411 Tartu Estonia
References provided by Crossref.org
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- $a Analytical methods can offer insights into the structure of biological networks, but mechanisms that determine the structure of these networks remain unclear. We conducted a synthesis based on 111 previously published datasets to assess a range of ecological and evolutionary mechanisms that may influence the plant-associated fungal interaction networks. We calculated the relative host effect on fungal community composition and compared nestedness and modularity among different mycorrhizal types and endophytic fungal guilds. We also assessed how plant-fungal network structure was related to host phylogeny, environmental and sampling properties. Orchid mycorrhizal fungal communities responded most strongly to host identity, but the effect of host was similar among all other fungal guilds. Community nestedness, which did not differ among fungal guilds, declined significantly with increasing mean annual precipitation on a global scale. Orchid and ericoid mycorrhizal fungal communities were more modular than ectomycorrhizal and root endophytic communities, with arbuscular mycorrhizal fungi in an intermediate position. Network properties among a broad suite of plant-associated fungi were largely comparable and generally unrelated to phylogenetic distance among hosts. Instead, network metrics were predominantly affected by sampling and matrix properties, indicating the importance of study design in properly inferring ecological patterns.
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