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Transmission Mode Predicts Specificity and Interaction Patterns in Coral-Symbiodinium Networks

Overview of attention for article published in PLOS ONE, September 2012
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Title
Transmission Mode Predicts Specificity and Interaction Patterns in Coral-Symbiodinium Networks
Published in
PLOS ONE, September 2012
DOI 10.1371/journal.pone.0044970
Pubmed ID
Authors

Nicholas S. Fabina, Hollie M. Putnam, Erik C. Franklin, Michael Stat, Ruth D. Gates

Abstract

Most reef-building corals in the order Scleractinia depend on endosymbiotic algae in the genus Symbiodinium for energy and survival. Significant levels of taxonomic diversity in both partners result in numerous possible combinations of coral-Symbiodinium associations with unique functional characteristics. We created and analyzed the first coral-Symbiodinium networks utilizing a global dataset of interaction records from coral reefs in the tropical Indo-Pacific and Atlantic Oceans for 1991 to 2010. Our meta-analysis reveals that the majority of coral species and Symbiodinium types are specialists, but failed to detect any one-to-one obligate relationships. Symbiont specificity is correlated with a host's transmission mode, with horizontally transmitting corals being more likely to interact with generalist symbionts. Globally, Symbiodinium types tend to interact with only vertically or horizontally transmitting corals, and only a few generalist types are found with both. Our results demonstrate a strong correlation between symbiont specificity, symbiont transmission mode, and community partitioning. The structure and dynamics of these network interactions underlie the fundamental biological partnership that determines the condition and resilience of coral reef ecosystems.

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Mendeley readers

The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
Brazil 2 1%
France 1 <1%
Germany 1 <1%
Taiwan 1 <1%
New Zealand 1 <1%
Denmark 1 <1%
Mexico 1 <1%
Unknown 142 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 26%
Student > Master 29 19%
Researcher 20 13%
Student > Bachelor 20 13%
Student > Doctoral Student 5 3%
Other 17 11%
Unknown 24 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 85 55%
Environmental Science 22 14%
Biochemistry, Genetics and Molecular Biology 9 6%
Earth and Planetary Sciences 2 1%
Unspecified 1 <1%
Other 5 3%
Unknown 31 20%