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The relative ages of ectomycorrhizal mushrooms and their plant hosts estimated using Bayesian relaxed molecular clock analyses

Overview of attention for article published in BMC Biology, March 2009
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Title
The relative ages of ectomycorrhizal mushrooms and their plant hosts estimated using Bayesian relaxed molecular clock analyses
Published in
BMC Biology, March 2009
DOI 10.1186/1741-7007-7-13
Pubmed ID
Authors

David S Hibbett, P Brandon Matheny

Abstract

Ectomycorrhizae (ECM) are symbioses formed by polyphyletic assemblages of fungi (mostly Agaricomycetes) and plants (mostly Pinaceae and angiosperms in the rosid clade). Efforts to reconstruct the evolution of the ECM habit in Agaricomycetes have yielded vastly different results, ranging from scenarios with many relatively recent origins of the symbiosis and no reversals to the free-living condition; a single ancient origin of ECM and many subsequent transitions to the free-living condition; or multiple gains and losses of the association. To test the plausibility of these scenarios, we performed Bayesian relaxed molecular clock analyses including fungi, plants, and other eukaryotes, based on the principle that a symbiosis cannot evolve prior to the origin of both partners. As we were primarily interested in the relative ages of the plants and fungi, we did not attempt to calibrate the molecular clock using the very limited fossil record of Agaricomycetes.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 200 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
Netherlands 3 2%
Brazil 3 2%
United Kingdom 3 2%
Germany 2 1%
Australia 1 <1%
Finland 1 <1%
Sweden 1 <1%
Israel 1 <1%
Other 1 <1%
Unknown 179 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 39 20%
Student > Ph. D. Student 36 18%
Student > Master 30 15%
Student > Bachelor 19 10%
Professor > Associate Professor 11 6%
Other 38 19%
Unknown 27 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 129 65%
Environmental Science 18 9%
Biochemistry, Genetics and Molecular Biology 14 7%
Psychology 2 1%
Earth and Planetary Sciences 2 1%
Other 3 2%
Unknown 32 16%