Arbuscular mycorrhizal fungal networks vary throughout the growing season and between successional stages.
Identifieur interne : 001A12 ( Main/Corpus ); précédent : 001A11; suivant : 001A13Arbuscular mycorrhizal fungal networks vary throughout the growing season and between successional stages.
Auteurs : Alison Elizabeth Bennett ; Tim John Daniell ; Maarja Öpik ; John Davison ; Mari Moora ; Martin Zobel ; Marc-André Selosse ; Darren EvansSource :
- PloS one [ 1932-6203 ] ; 2013.
English descriptors
- KwdEn :
- MESH :
- growth & development : Mycorrhizae, Trees.
- microbiology : Plants, Trees.
- Ecosystem, Extinction, Biological, Plant Development, Seasons, Symbiosis.
Abstract
To date, few analyses of mutualistic networks have investigated successional or seasonal dynamics. Combining interaction data from multiple time points likely creates an inaccurate picture of the structure of networks (because these networks are aggregated across time), which may negatively influence their application in ecosystem assessments and conservation. Using a replicated bipartite mutualistic network of arbuscular mycorrhizal (AM) fungal-plant associations, detected using large sample numbers of plants and AM fungi identified through molecular techniques, we test whether the properties of the network are temporally dynamic either between different successional stages or within the growing season. These questions have never been directly tested in the AM fungal-plant mutualism or the vast majority of other mutualisms. We demonstrate the following results: First, our examination of two different successional stages (young and old forest) demonstrated that succession increases the proportion of specialists within the community and decreases the number of interactions. Second, AM fungal-plant mutualism structure changed throughout the growing season as the number of links between partners increased. Third, we observed shifts in associations between AM fungal and plant species throughout the growing season, potentially reflecting changes in biotic and abiotic conditions. Thus, this analysis opens up two entirely new areas of research: 1) identifying what influences changes in plant-AM fungal associations in these networks, and 2) what aspects of temporal variation and succession are of general importance in structuring bipartite networks and plant-AM fungal communities.
DOI: 10.1371/journal.pone.0083241
PubMed: 24358265
PubMed Central: PMC3866191
Links to Exploration step
pubmed:24358265Le document en format XML
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<term>Plant Development (MeSH)</term>
<term>Plants (microbiology)</term>
<term>Seasons (MeSH)</term>
<term>Symbiosis (MeSH)</term>
<term>Trees (growth & development)</term>
<term>Trees (microbiology)</term>
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<front><div type="abstract" xml:lang="en">To date, few analyses of mutualistic networks have investigated successional or seasonal dynamics. Combining interaction data from multiple time points likely creates an inaccurate picture of the structure of networks (because these networks are aggregated across time), which may negatively influence their application in ecosystem assessments and conservation. Using a replicated bipartite mutualistic network of arbuscular mycorrhizal (AM) fungal-plant associations, detected using large sample numbers of plants and AM fungi identified through molecular techniques, we test whether the properties of the network are temporally dynamic either between different successional stages or within the growing season. These questions have never been directly tested in the AM fungal-plant mutualism or the vast majority of other mutualisms. We demonstrate the following results: First, our examination of two different successional stages (young and old forest) demonstrated that succession increases the proportion of specialists within the community and decreases the number of interactions. Second, AM fungal-plant mutualism structure changed throughout the growing season as the number of links between partners increased. Third, we observed shifts in associations between AM fungal and plant species throughout the growing season, potentially reflecting changes in biotic and abiotic conditions. Thus, this analysis opens up two entirely new areas of research: 1) identifying what influences changes in plant-AM fungal associations in these networks, and 2) what aspects of temporal variation and succession are of general importance in structuring bipartite networks and plant-AM fungal communities. </div>
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