Harnessing Environmental DNA and AI for Marine Ecosystem Insights
Invisible DNA lurks everywhere in the environment — and we're on the verge of decoding its secrets 🔗
Environmental DNA (eDNA) is present in various ecosystems and offers insights into biodiversity and ecological changes. Researchers aboard the Viking Octantis cruise ship analyze eDNA from water samples to better understand marine ecosystems, particularly phytoplankton, which are crucial for ocean health. Although eDNA analysis generates vast amounts of data, the integration of artificial intelligence (AI) is expected to enhance data processing and species identification. Projects like this aim to create comprehensive databases to improve environmental monitoring and response to ecological shifts. However, significant investment and resources are needed to develop these AI tools and databases effectively.
What is environmental DNA (eDNA)?
eDNA refers to genetic material that organisms shed into their environment, such as water, soil, or air. It is used to study biodiversity and monitor ecosystem changes.
How is AI being used in eDNA research?
AI is being integrated into eDNA analysis to quickly process large datasets, identify species, and reveal ecological trends, potentially transforming our understanding of environmental changes.
Why is creating a reference database important for eDNA analysis?
A reference database helps AI identify species by providing key genetic signatures. Without organized and accessible data, AI cannot effectively learn and identify various organisms in ecological studies.