Chii-Shiarng Chen

Abstract : Featured Application We have developed a machine-learning approach for identifying climate-resilient corals in the Solomon Islands. Abstract Numerous physical, chemical, and biological factors influence coral resilience in situ, yet current models aimed at forecasting coral health in response to climate change and other stressors tend to focus on temperature and coral abundance alone.

Despite the fact that the host coral and Symbiodinium exhibited a similar degree of differential protein regulation upon having pooled data across all three sampling times, the cellular processes affected by elevated temperatures tended to differ between the two compartments, and only proteins involved in the stress response were identified at multiple sampling times in both the host coral and Symbiodinium.