Scientists at NOAA Northeast Fisheries Science Center (NEFSC) are using environmental DNA (eDNA) to identify fish communities and monitor ecosystems by collecting a water sample and analyzing the DNA found in it, identifying the species that left it behind without capturing a single animal. As animals swim, they shed scales, tissue, and waste, leaving traces of DNA in the water. A water sample is first collected from the ocean and filtered to concentrate DNA in it. NOAA scientists then make millions of copies of a target DNA region through polymerase chain reaction (PCR) to make enough genetic material for high throughput sequencing. The metabarcoding process described above for eDNA analysis allows scientists to look for many species in the same sample. The final step is like a matching game, in which the DNA sequences are compared with a reference library of known species to find a match. The eDNA method is particularly useful for detecting species that are not easily captured, including rare or migratory species. It can also help in areas that are difficult to sample because of challenging ocean conditions, sensitive habitats, or a rugged seafloor. An eDNA analysis provides a snapshot of the community of species at the time of sampling and over time. This can help us detect shifts in marine ecosystems. eDNA samples have been collected on NOAA Ecosystem Monitoring (EcoMon) surveys since 2019. These samples will help develop best eDNA practices using metabarcoding, an innovative way to determine what fish species live in what parts of the ocean without actually seeing any fish.
Scientists at NOAA's Northeast Fisheries Science Center (NEFSC) are using environmental DNA (eDNA) to identify fish communities and monitor ecosystems by collecting a water sample and analyzing the DNA found in it, identifying the species that left it behind without capturing a single animal. As animals swim, they shed scales, tissue, and waste, leaving traces of DNA in the water. A water sample is first collected from the ocean and filtered to concentrate DNA in it. NOAA scientists then make millions of copies of a target DNA region through polymerase chain reaction (PCR) to make enough genetic material for high throughput sequencing. The metabarcoding process described above for eDNA analysis allows scientists to look for many species in the same sample. The final step is like a matching game, in which the DNA sequences are compared with a reference library of known species to find a match. The eDNA method is particularly useful for detecting species that are not easily captured, including rare or migratory species. It can also help in areas that are difficult to sample because of challenging ocean conditions, sensitive habitats, or a rugged seafloor. An eDNA analysis provides a snapshot of the community of species at the time of sampling and over time. This can help us detect shifts in marine ecosystems. eDNA samples have been collected on NOAA Ecosystem Monitoring (EcoMon) surveys since 2019. These samples will help develop best eDNA practices using metabarcoding, an innovative way to determine what fish species live in what parts of the ocean without actually seeing any fish.
AFSC/ABL: ACES-SHELFZ (Arctic Coastal Ecosystem Survey AND Shelf Habitat and EcoLogy of Fish and Zooplankton) Catch Database
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The objectives of these Arctic nearshore fish surveys is to measure seasonal changes in the distribution, demographics, trophic position and nutritional status of forage fish during the partial and complete ice-free season near Pt. Barrow, along the nearshore Chukchi and Beaufort Seas including Elson Lagoon, Alaska. These data will be related to biological and physical conditions observed near the Chukchi and Beaufort coasts and Elson Lagoon. Arctic Cod (Boreogadus saida), Saffron Cod (Eleginus gracilis), Capelin (Mallotus villosus), Sand Lance (Ammodytes hexapterus), Coregonids and sculpins will serve as the primary forage species targeted in the proposed work. The physical features to be measured include salinity, temperature, current direction and speed, wind direction and speed and bathymetry, but most importantly we seek a better understanding of how weather (wind) would affect the transport through the multi-inlet Elson Lagoon and its relation to coastal currents. Biological features include the community composition, abundance, distribution and quality of zooplankton prey available to forage fish. The catch data in this database include sampling efforts from 3 complimentary studies using similar gear in similar areas: ACES (Arctic Coastal Ecosystem Survey) and SHELFZ (Shelf Habitat and EcoLogy of Fish and Zooplankton), Ecology of Forage Fishes in the Arctic Nearshore. Data will be comparable to NOAAs previous efforts in the nearshore near Pt. Barrow (e.g. Thedinga et al. 2013). Combining these historical data with the proposed work will lead to an improved understanding of the relationship between forage fish and their nearshore habitats during the partial and complete ice-free period. The information developed by this proposed project is needed by those engaged in predicting impacts of climate change, developing oil and gas resources, managing foraging habitat of marine mammals, and planning for increased marine transportation.
Bristol Bay, Alaska Subarea ESI: M MAMPT (Marine Mammal Points)
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This data set contains sensitive biological resource data for Steller sea lions and seals in the Bristol Bay Subarea. The Subarea includes marine and coastal areas of Bristol Bay and part of the southern Alaska Peninsula. (This area extends from directly south of Goodnews Bay to slightly north of Port Seniavan along the Bristol Bay side of the Alaska Peninsula, as well as the Pacific Ocean side of the Alaska Peninsula from Cape Providence to Kupreanof Peninsula.) Vector points in this data set represent Steller sea lion and harbor/spotted seal haul-outs. Species-specific abundance, seasonality, status, life history, and source information are stored in relational data tables (described below) designed to be used in conjunction with this spatial data layer.This data set comprises a portion of the Environmental Sensitivity Index (ESI) data for the Bristol Bay Subarea. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. See also the M_MAMMAL (Marine Mammal Polygons) data layer, part of the larger Bristol Bay Subarea ESI database, for additional marine mammal information.
Joint U.S.-Canada Integrated Ecosystem and Pacific Hake Acoustic Trawl Survey (trawl sample)
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This layer is intended to represent the geographic extent of NOAA Fisheriesâ Joint U.S.-Canada Integrated Ecosystem and Pacific Hake Acoustic Trawl Survey trawl samples. The Joint U.S.-Canada Integrated Ecosystem and Pacific Hake Acoustic Trawl Survey started in 1977 and is a collaborative effort between the Northwest Fisheries Science Center and Fisheries and Oceans Canada Pacific Region. This survey produces the Pacific hake biomass estimate that is essential to the management of the west coast fishery. Data collected are used to generate biological information and inform stock assessments made by the Hake Treaty Joint Technical Committee, a body formed by the U.S.-Canada International Hake/Whiting Treaty. The survey is typically conducted on a biennial basis. Because this is an international survey, two research vessels cover the entire U.S. and Canadian West Coasts. The survey design includes 10-nm spaced transects that run approximately perpendicular to the coast for the area that extends from Point Conception, California in the south to the West Coast of Vancouver Island in the north, and 20-nm transects north of WCVI to Dixon Entrance, Alaska. Transects are conducted using a NOAA Fishery Survey Vessel equipped with scientific echosounders and fishing nets to validate fish aggregations identified in the acoustic data. Midwater trawls are also equipped with a stereo camera to assist in determining the species composition of collected organisms.