Data from: Trophic plasticity of mixotrophic corals under contrasting environments
Cite this dataset
Sturaro, Nicolas et al. (2021). Data from: Trophic plasticity of mixotrophic corals under contrasting environments [Dataset]. Dryad. https://doi.org/10.5061/dryad.2ngf1vhnt
Abstract
1. Mixotrophic organisms can derive nutrition from both auto- and heterotrophy, which allows them to use a variety of trophic pathways to sustain their metabolic demands under variable conditions. Therefore, when facing environmental change, these organisms are expected to demonstrate an intrinsic ability to acclimatise through trophic plasticity.
2. Scleractinian corals are ecologically important mixotrophs, but understanding their trophic plasticity has been impaired by an oversimplification toward inconsistent proxies of coral diet and overlooking intraspecific variability.
3. Here, we applied a Bayesian analysis of carbon and nitrogen stable isotope data to determine the trophic niches of six common species of scleractinian corals and their associated endosymbionts, and combined it with an unsupervised machine learning algorithm to identify trophic behaviours and strategies.
4. We found a variable amount of nutritional plasticity identified by different trophic behaviours within and between mixotrophic corals living under the same environmental conditions. Further, we observed changes in trophic plasticity across environmental conditions. Corals from variable environments had larger host and endosymbiont niches than corals from stable environments. In addition, deeper corals had niches indicating a greater degree of heterotrophy than shallow corals. Collectively, corals exhibited distinct trophic strategies by promoting trophic niche differentiation along the mixotrophic continuum and conspecific individual colonies displayed high trophic variation.
5. Our results provide a foundation to understand how mixotrophic organisms may adjust their nutrition in response to ongoing global environmental change and the consequential modification of benthic assemblages.
Methods
Full details on sample collection and analyses are available in the related manuscript (Sturaro et al., https://doi.org/10.1111/1365-2435.13924)
Funding
National Science and Technology Council, Award: 104-2611-M-002-020-MY2
National Science and Technology Council, Award: 106-2611-M-002-008
National Science and Technology Council, Award: 107-2611-M-002-011
National Science and Technology Council, Award: 108-2611-M-002-013
National Science and Technology Council, Award: 107-2119-M-002-03
National Science and Technology Council, Award: 108-2116-M-002-004
Ministry of Education, Award: 108L901002
National Taiwan University, Award: 106R4000