Title |
Assembly of complex plant–fungus networks
|
---|---|
Published in |
Nature Communications, October 2014
|
DOI | 10.1038/ncomms6273 |
Pubmed ID | |
Authors |
Hirokazu Toju, Paulo R. Guimarães, Jens M. Olesen, John N. Thompson |
Abstract |
Species in ecological communities build complex webs of interaction. Although revealing the architecture of these networks is fundamental to understanding ecological and evolutionary dynamics in nature, it has been difficult to characterize the structure of most species-rich ecological systems. By overcoming this limitation through next-generation sequencing technology, we herein uncover the network architecture of below-ground plant-fungus symbioses, which are ubiquitous to terrestrial ecosystems. The examined symbiotic network of a temperate forest in Japan includes 33 plant species and 387 functionally and phylogenetically diverse fungal taxa, and the overall network architecture differs fundamentally from that of other ecological networks. In contrast to results for other ecological networks and theoretical predictions for symbiotic networks, the plant-fungus network shows moderate or relatively low levels of interaction specialization and modularity and an unusual pattern of 'nested' network architecture. These results suggest that species-rich ecological networks are more architecturally diverse than previously recognized. |
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Geographical breakdown
Country | Count | As % |
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United Kingdom | 3 | 7% |
United States | 3 | 7% |
Japan | 2 | 4% |
Canada | 1 | 2% |
Italy | 1 | 2% |
Unknown | 36 | 78% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 34 | 74% |
Scientists | 11 | 24% |
Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 6 | 1% |
France | 4 | <1% |
Japan | 3 | <1% |
United States | 2 | <1% |
Germany | 1 | <1% |
United Kingdom | 1 | <1% |
Portugal | 1 | <1% |
Unknown | 404 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 89 | 21% |
Student > Ph. D. Student | 85 | 20% |
Student > Master | 54 | 13% |
Student > Bachelor | 39 | 9% |
Student > Doctoral Student | 20 | 5% |
Other | 72 | 17% |
Unknown | 63 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 215 | 51% |
Environmental Science | 64 | 15% |
Biochemistry, Genetics and Molecular Biology | 23 | 5% |
Computer Science | 7 | 2% |
Physics and Astronomy | 6 | 1% |
Other | 29 | 7% |
Unknown | 78 | 18% |