This research investigates mating behavior in Siamese fighting fish and reveals that visual interaction dramatically increases reproductive success. By studying 203 breeding pairs, the project demonstrates the importance of sight in social and mating behavior, suggesting that betta fish possess more sophisticated visual and individual recognition abilities than previously understood.

This research investigates how the olfactory system of the Spanish ribbed newt adapts between aquatic and terrestrial environments. By analyzing cellular and genetic changes in the nose, the study reveals remarkable sensory plasticity, offering broader insights into nervous system flexibility and potential implications for understanding neurodegenerative diseases such as dementia.

This research uses natural language processing techniques to uncover evolutionary relationships between ancient proteins. By analyzing contextual patterns among amino acids, the new computational tool can identify connections between proteins that diverged billions of years ago, helping scientists reconstruct the history of early microbial life and Earth’s biological evolution.

This research investigates how painted turtles survive months without oxygen through epigenetic regulation. By identifying gene-switching mechanisms, it aims to uncover biological strategies for extreme hypoxia tolerance. These insights could inform medical, environmental, and space applications, potentially extending human survival in low-oxygen conditions and advancing fields like transplantation and exploration.

This research shows that damselfly species lose color variation when living together, adopting distinct colors to avoid misidentification and conflict. Experiments reveal they cannot distinguish species when polymorphic, leading evolution to favor visual divergence. The findings illustrate how natural selection can reduce aggression and promote coexistence between closely related species.

This talk traces the devastation of the Black Death to highlight a modern crisis: antibiotic resistance. Misuse of antibiotics accelerates the rise of superbugs. Using AI and machine learning, the research identifies genetic resistance patterns and guides effective treatments, aiming to improve clinical decisions and prevent a return to a pre-antibiotic era.

This research investigates how Amazonian butterflies evolve their visual systems to match the light conditions of different rainforest niches. By comparing eye and brain structures across many species, it reveals that evolution repeatedly finds the same sensory solutions, showing that adaptation can be surprisingly predictable and may drive the formation of new species.