Our
Projects
Temperature acclimation and adaptation in cyanobacteria
Cyanobacteria, a group of microscopic organisms, have played a crucial role in Earth's history as the first bacteria capable of oxygenic photosynthesis. They thrive in diverse environments, including extreme conditions, and can survive across a broad range of temperatures. A distinctive feature of their metabolism is that both photosynthesis and respiration occur on the same membrane, called the thylakoid membrane. This unique setup allows cyanobacteria to maintain a flexible metabolism, enabling them to quickly adapt to temperature fluctuations. The ratio of respiration to photosynthesis in cyanobacteria depends on the structure their photosynthetic membrane, including the number and type of components in their shared electron transport system. By fine-tuning this balance, cyanobacteria maximize energy efficiency and maintain stable metabolism in different temperature conditions.
Uncovering the Impact of Oil Pollution on Phytoplankton and Marine Ecosystems
Oil spills and condensate pollution pose significant threats to marine ecosystems, particularly near oil rigs, where phytoplankton—the foundation of marine food webs—face exposure to petroleum-derived hazards. The response of phytoplankton to these pollutants can vary, with potential implications for their growth and photosynthesis. Understanding how photosynthesis is affected by these pollutants is crucial for assessing the ecological impact and aiding policymakers in setting safe exposure limits that marine environments can tolerate. This study aims to shed light on these effects, contributing to informed decisions for managing pollution risks.
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Kari D. Jackson, Pixabay
Correlating Primary Productivity, Phytoplankton Taxa, and Environmental Factors in the Sea of Galilee
This data science project applies advanced analytical methods to connect two primary productivity measurement techniques, radio carbon uptake and oxygen evolution, while incorporating environmental data from the Sea of Galilee. By analyzing the distribution of phytoplankton taxa alongside physical (e.g., temperature, light) and chemical parameters (e.g., nutrients, pH), it aims to explore how different taxa contribute to primary productivity. The project seeks to build predictive models linking productivity rates and taxa composition, enhancing the understanding and monitoring of freshwater ecosystem dynamics.