Invisible DNA lurks everywhere in the environment — and we're on the verge of decoding its secrets

Environments are littered with the DNA of the creatures that inhabit them. Analyzing it could provide a real-time view of how our planet is changing.
Mr. Winston Beer · 3 days ago · 3 minutes read


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Unlocking the Secrets of our Planet: How eDNA and AI are Revolutionizing Environmental Monitoring

A Floating Laboratory on Lake Erie

Imagine a spa, not on land, but floating serenely in the middle of Lake Erie. This isn't science fiction; it's the Viking Octantis, a cruise ship equipped with a state-of-the-art laboratory and submersibles capable of diving 1,000 feet. While passengers enjoy luxury amenities, scientists below deck are hard at work, unlocking the secrets of the lake's ecosystem using cutting-edge technology.

The Power of eDNA

Every living thing leaves behind traces of its genetic material – environmental DNA, or eDNA. This microscopic evidence, floating in water, drifting in air, and lingering in soil, provides a powerful tool for scientists to study the natural world. From identifying endangered species to understanding predator-prey relationships, eDNA is transforming our understanding of ecosystems.

Decades ago, scientists first discovered traces of this genetic material. Now, with the advent of powerful sequencing techniques, they can analyze eDNA to characterize food webs, reveal the locations of long-lost endangered species, and show if predators are lurking in areas where humans and wildlife are in conflict.

The Data Deluge and the Promise of AI

While eDNA offers unprecedented insights, it generates a massive amount of data. Analyzing this deluge of information can be overwhelming, taking researchers months or even years. This is where artificial intelligence (AI) comes in. By combining AI with cutting-edge sequencing, scientists can rapidly identify changes in ecosystems, potentially providing a real-time view of how our planet operates.

"Quicker, better, faster data allows us to do things we've never dreamt of before," explains Zachary Gold, research lead of the Ocean Molecular Ecology program at NOAA's Pacific Marine Environmental Laboratory.

From COVID Testing to Phytoplankton Analysis

The Viking Octantis' journey into eDNA research began unexpectedly during the pandemic. Equipment originally used for COVID-19 PCR testing was repurposed to analyze water samples. This led to a partnership with NOAA, and now the ship serves as a floating laboratory, studying phytoplankton as it cruises through different waters, providing real-time snapshots of the ecosystem.

“They are the key to life on Earth,” Allison Cusick, a researcher at the Scripps Institution of Oceanography, emphasizes, highlighting the importance of phytoplankton as the foundation of marine food webs and a major oxygen producer.

The Enigma Project: AI-Powered eDNA Analysis

The true potential of eDNA lies in integrating AI into the analysis process. AI can rapidly sift through vast datasets, identifying patterns and insights that would take humans years to uncover.

“Researchers can spend months looking through that data... but the AI could do it... in seconds,” Gold notes.

Letizia Lamperti, a mathematical engineer, is developing a machine learning system to assess environmental health based on eDNA. This technology could, for example, link an increase in toxin-producing phytoplankton to agricultural runoff.

Allison Cusick compares the transformative potential of AI-powered eDNA analysis to Alan Turing's decryption of the Enigma code during World War II.

Building the Genetic Dictionary: A Critical Step

For AI to truly revolutionize eDNA analysis, we need a comprehensive "dictionary" of species based on their DNA. Current biodiversity datasets are scattered and not standardized for AI use. This is a significant challenge that requires substantial resources and international collaboration.

Despite the hurdles, Gold remains optimistic. He believes that with sufficient investment, the tools and resources for widespread AI-powered eDNA analysis could be in place within the next decade.

"A lot of the stuff isn't hard; it's just taking the existing tools that are already out there. We've just got to point the bike in the right direction," Gold concludes.

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