Environmental DNA, or eDNA, is a molecular sampling technology that collects information about organisms using DNA shed by them into their environment. While eDNA holds exciting potential to become an efficient, low-cost, non-invasive ecological monitoring method, a lack of standardization of approaches and purpose-built sampling equipment make it hard to compare results and determine its actual effectiveness across studies. Detection success and accuracy also vary greatly among species and environments, making standardization a challenge.
However, as eDNA moves toward becoming an industry standard method for species detection and management, the equipment is beginning to transition from largely do-it-yourself experimental contraptions to professionally engineered tools. For example, Smith-Root Inc. recently developed the first-ever purpose-built eDNA sampling system, which they call ANDe™. We’re also seeing an expansion of eDNA applications from mainly marine to freshwater and even terrestrial environments, although the latter still requires substantial growth.
As this nascent field develops, it is critical for the conservation tech community to explore and identify how eDNA applies to management needs, and to ensure that continued development meets those needs. Beyond indicating species presence, research so far suggests that eDNA can contribute to conservation by deepening understanding of population dynamics, resource usage, disease presence, invasion pathways of non-native species, and population genetics, to name a few. This indicates that it could be a critical tool for managing imperiled and invasive species.
If you're new to eDNA and genomics, check out our Tech Tutors episode "How Do I Use Portable Genomics in the Field?" featuring Ineke Knot. You'll also find a bank of resources on that page, including a handy glossary of terms in our collaborative notes document!
Does your work involve eDNA and genomics, or are you curious about incorporating this type of technology into your field or lab work? Start a discussion in our group forum!
Header Image: Benjamin Barca
- @jsevans
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Field Research Scientist at Basecamp Research
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I'm interested in combining knowledge in ecology and machine learning to do research and make application. I'm a master's student in ecology, with a B.A. in Ecology and an M.S. in applied data science.
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