Program
 
General Session 3: Biological oceanography & global change
 
 
 
Poster
Differences of strain-specific metabolomics responses to heat stress between symbiotic Symbiodinium kawagutii (Clade F) and free-living Symbiodinium sp. (Clade E)
GS3-33
Xin Lin* , State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, Fujian, China
Xinguo Shi, State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, Fujian, China
Chentao Guo, State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, Fujian, China
Meizhen Li, State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, Fujian, China
Senjie Lin, State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, Fujian, China
Presenter Email: xinlin@xmu.edu.cn
Symbiodinium spp. is well known as successful symbiont of the cnidaria, which provide the photosynthate to support the prosperity and biodiversity of the coral ecosystem. Understanding the physiological resilience and plasticity owned by symbiont is of great importance in order to gain insight into how this symbiosis may respond to the climate change and environmental stressors. Metabolomics has emerged as a valuable approach to acquire the comprehensive and simultaneous systematic metabolites profile, and depict the subsequent changes as a result of ambient environmental stimulus. In this 24-h time course experiment, coral reef isolated Symbiodinium kawagutii (Clade F) and free-living Symbiodinium sp. (Clade E) were cultured under high light and heat shock stress condition respectively. Here we used reversed phase liquid chromatography coupled to high-resolution mass spectrometry (LC-QTOF MS) of aqueous methanol extracts to acquire the comprehensive metabolomics profile and comparison between Symbiodinium kawagutii (Clade F) and free-living Symbiodinium sp. (Clade E) under different light and temperature treatments respectively. In total, 49 and 5,820 differentially expressed compounds were identified in the heat stressed samples of S. kawagutii and Symbiodinium sp. compared with control samples respectively. Subsequent statistics and bioinformatics tools can be used to provide a detailed view on the differences and similarities between (groups of) samples or to link metabolomics data to other systems biology information, genetic markers and/or specific quality parameters.