NYC/NJ Aquatic Vertebrate Environmental DNA (eDNA) Project
We aim to help advance eDNA for monitoring ocean life. Our research focuses on marine fish populations in New York and New Jersey. We have also applied eDNA to marine mammals, terrestrial vertebrates, twilight zone ocean (depth 500m), fresh water ponds and streams, and in diverse sites from NYC’s Central Park to Sea of Galilee in Israel.
Why eDNA? Ocean life is largely hidden from view. Traditional surveys for marine animals are often costly, time- and capital-intensive, needing special equipment and trained personnel. So surveys are relatively sparse, and many regions remain unexplored.
eDNA offers a low-cost, low-impact technology to complement traditional surveys, including in difficult-to-survey environments, for protected species, and if pandemics or other events curtail routine surveys. eDNA will help monitor impacts of human activities, weather and climate, conservation efforts, and will aid research and exploration.
Optimizing eDNA methods for metabarcoding marine fish. eDNA metabarcoding uses PCR primers that amplify the DNA of multiple species in a taxonomic group, e.g., vertebrates. The amplified DNA is analyzed by NextGen sequencing, and the individual “reads” are matched to a reference library of sequences from identified fish specimens.
We recently showed that current laboratory protocols optimize sensitivity and reproducibility, especially for more abundant fish populations (ICES J Mar Sci 2022). eDNA metabarcoding is generally considered a qualitative tool for relative abundance. We hope to help develop eDNA metabarcoding as a quantitative tool for absolute abundance (link to pdf work-in-progress).
Marine eDNA 101 booklet pdf (618 KB)
In collaboration with Monmouth University and New Jersey Department of Environmental Protection, we recently completed a one year study of eDNA and bottom trawl assessments of marine fish. We found the two technologies were largely concordant on marine fish diversity, seasonality, and relative abundance (link to article ICES J Marine Sci 2021, also see Science online coverage by Erik Stokstad).
Together with Monmouth University, we hosted the first National Conference on Marine Environmental DNA, November 29-30, 2018. The Conference included approximately 100 American ocean scientists and associated stakeholders, including representatives from academe, federal, state, and local governments, non-governmental organizations concerned with marine environment, and the private sector. The strong sense of the meeting was “eDNA works–let’s get going.” The Conference Final Report and press release summarize the conference proceedings and outline concrete steps forward.
More eDNA: Barnegat Light, Coney Island, Martha’s Vineyard, Sea of Galilee
Bay fish eDNA in bay, ocean fish eDNA in ocean (high-res file)
Contact: Mark Stoeckle firstname.lastname@example.org Site updated November 2020
More aquatic eDNA projects
Stoeckle MY, Adolf J, Ausubel JH, Charlop-Powers Z, Dunton K, Hinks G. Current laboratory protocols for detecting fish species with environmental DNA optimize sensitivity and reproducibility, especially for more abundant populations [open access external link]. ICES J Marine Sci, 2022.
Stoeckle MY, Adolf J, Charlop-Powers Z, Dunton K, Hinks G, VanMorter SM. Trawl and eDNA assessment of marine fish in coastal New Jersey, USA [open access external link]. ICES J Marine Sci, 2021.
Improved Environmental DNA Reference Library Detects Overlooked Marine Fishes in New Jersey, United States [open access external link]. Frontiers in Marine Science 7 (226): 2020
Stoeckle MY, Mishu M, Charlop-Powers Z. GoFish: a versatile strategy for nested PCR environmental DNA assays for marine vertebrates [open access external link]. PLOS ONE 2018:e0198717.
Stoeckle MY. Fishing for DNA: free-floating eDNA identifies presence and abundance of ocean life [open access external link]. The Conversation, April 12, 2017.
Stoeckle MY, Soboleva L, Charlop-Powers Z. Aquatic environmental DNA detects seasonal fish abundance and habitat preference in an urban estuary [open access external link]. PLOS ONE 2017: e0175186.