Mapping Biodiversity Coast‐to‐Coast‐to‐Coast Across Canada's Three Oceans Using eDNA Metabarcoding
ABSTRACT Marine biodiversity worldwide is rapidly declining, and nowhere is this more evident than in coastal ecosystems where the impacts of climate change and anthropogenic activities concentrate. The ongoing biodiversity crisis affects all components of the marine food web, but data required to m...
Saved in:
Main Authors: | , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2024-11-01
|
Series: | Environmental DNA |
Subjects: | |
Online Access: | https://doi.org/10.1002/edn3.70028 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832582973400023040 |
---|---|
author | Loïc Jacquemot Brian P. V. Hunt Shaorong Li Angela D. Schulze Christoph M. Deeg Ben J. G. Sutherland Amy Tabata Connie Lovejoy Kristina M. Miller |
author_facet | Loïc Jacquemot Brian P. V. Hunt Shaorong Li Angela D. Schulze Christoph M. Deeg Ben J. G. Sutherland Amy Tabata Connie Lovejoy Kristina M. Miller |
author_sort | Loïc Jacquemot |
collection | DOAJ |
description | ABSTRACT Marine biodiversity worldwide is rapidly declining, and nowhere is this more evident than in coastal ecosystems where the impacts of climate change and anthropogenic activities concentrate. The ongoing biodiversity crisis affects all components of the marine food web, but data required to monitor biodiversity shifts at continental scales are scarce and taxonomically and spatially heterogeneous. The application of environmental DNA metabarcoding can complement traditional approaches to monitoring marine biodiversity, but its efficiency in detecting large‐scale biogeographic breaks remains to be tested. Using 86 coastal surface water samples collected during the Canada C3 expedition in the summer of 2017, we investigated metazoan biodiversity across Canada's three oceans—North Pacific, Arctic and North Atlantic—using multi‐marker eDNA metabarcoding. The resulting dataset, combining information from seven separate amplicons, identified 1477 unique species ranging from zooplankton to marine mammals. We found that marine coastal biodiversity around Canada separated into four clusters that overlapped with known marine ecoregions, indicating a higher connectivity between the Arctic and Atlantic than between the Arctic and Pacific clusters. However, the detection of Pacific salmon eDNA in the Canadian Arctic suggests that these species may be extending their Pacific distribution range poleward. By comparing the distribution of eDNA with species occurrence recorded in the Ocean Biodiversity Information System (OBIS) for Canada and Alaska coastal waters, we identified 324 “unexpected” species. These results demonstrate the importance of primer selection for species‐specific applications of eDNA metabarcoding and provide a benchmark for further work aimed at validating species identification and map species distribution at large spatial scale. Our results showed that eDNA metabarcoding is a powerful method for monitoring biodiversity shifts at an interoceanic scale. Integrating eDNA into monitoring programs can provide valuable insights into biodiversity changes associated with climate change and contribute to filling gaps in the distribution of species‐at‐risk. |
format | Article |
id | doaj-art-bc0e2d4a7783409db0ccaf045a1629db |
institution | Kabale University |
issn | 2637-4943 |
language | English |
publishDate | 2024-11-01 |
publisher | Wiley |
record_format | Article |
series | Environmental DNA |
spelling | doaj-art-bc0e2d4a7783409db0ccaf045a1629db2025-01-29T05:11:50ZengWileyEnvironmental DNA2637-49432024-11-0166n/an/a10.1002/edn3.70028Mapping Biodiversity Coast‐to‐Coast‐to‐Coast Across Canada's Three Oceans Using eDNA MetabarcodingLoïc Jacquemot0Brian P. V. Hunt1Shaorong Li2Angela D. Schulze3Christoph M. Deeg4Ben J. G. Sutherland5Amy Tabata6Connie Lovejoy7Kristina M. Miller8Institute for the Oceans and Fisheries, University of British Columbia Vancouver British Columbia CanadaInstitute for the Oceans and Fisheries, University of British Columbia Vancouver British Columbia CanadaFisheries and Oceans Canada Pacific Biological Station Nanaimo British Columbia CanadaFisheries and Oceans Canada Pacific Biological Station Nanaimo British Columbia CanadaFisheries and Oceans Canada Pacific Biological Station Nanaimo British Columbia CanadaFisheries and Oceans Canada Pacific Biological Station Nanaimo British Columbia CanadaFisheries and Oceans Canada Pacific Biological Station Nanaimo British Columbia CanadaDépartement de Biologie Université Laval Québec City Québec CanadaFisheries and Oceans Canada Pacific Biological Station Nanaimo British Columbia CanadaABSTRACT Marine biodiversity worldwide is rapidly declining, and nowhere is this more evident than in coastal ecosystems where the impacts of climate change and anthropogenic activities concentrate. The ongoing biodiversity crisis affects all components of the marine food web, but data required to monitor biodiversity shifts at continental scales are scarce and taxonomically and spatially heterogeneous. The application of environmental DNA metabarcoding can complement traditional approaches to monitoring marine biodiversity, but its efficiency in detecting large‐scale biogeographic breaks remains to be tested. Using 86 coastal surface water samples collected during the Canada C3 expedition in the summer of 2017, we investigated metazoan biodiversity across Canada's three oceans—North Pacific, Arctic and North Atlantic—using multi‐marker eDNA metabarcoding. The resulting dataset, combining information from seven separate amplicons, identified 1477 unique species ranging from zooplankton to marine mammals. We found that marine coastal biodiversity around Canada separated into four clusters that overlapped with known marine ecoregions, indicating a higher connectivity between the Arctic and Atlantic than between the Arctic and Pacific clusters. However, the detection of Pacific salmon eDNA in the Canadian Arctic suggests that these species may be extending their Pacific distribution range poleward. By comparing the distribution of eDNA with species occurrence recorded in the Ocean Biodiversity Information System (OBIS) for Canada and Alaska coastal waters, we identified 324 “unexpected” species. These results demonstrate the importance of primer selection for species‐specific applications of eDNA metabarcoding and provide a benchmark for further work aimed at validating species identification and map species distribution at large spatial scale. Our results showed that eDNA metabarcoding is a powerful method for monitoring biodiversity shifts at an interoceanic scale. Integrating eDNA into monitoring programs can provide valuable insights into biodiversity changes associated with climate change and contribute to filling gaps in the distribution of species‐at‐risk.https://doi.org/10.1002/edn3.70028biodiversitybiological monitoringCanadaendangered speciesenvironmental DNA |
spellingShingle | Loïc Jacquemot Brian P. V. Hunt Shaorong Li Angela D. Schulze Christoph M. Deeg Ben J. G. Sutherland Amy Tabata Connie Lovejoy Kristina M. Miller Mapping Biodiversity Coast‐to‐Coast‐to‐Coast Across Canada's Three Oceans Using eDNA Metabarcoding Environmental DNA biodiversity biological monitoring Canada endangered species environmental DNA |
title | Mapping Biodiversity Coast‐to‐Coast‐to‐Coast Across Canada's Three Oceans Using eDNA Metabarcoding |
title_full | Mapping Biodiversity Coast‐to‐Coast‐to‐Coast Across Canada's Three Oceans Using eDNA Metabarcoding |
title_fullStr | Mapping Biodiversity Coast‐to‐Coast‐to‐Coast Across Canada's Three Oceans Using eDNA Metabarcoding |
title_full_unstemmed | Mapping Biodiversity Coast‐to‐Coast‐to‐Coast Across Canada's Three Oceans Using eDNA Metabarcoding |
title_short | Mapping Biodiversity Coast‐to‐Coast‐to‐Coast Across Canada's Three Oceans Using eDNA Metabarcoding |
title_sort | mapping biodiversity coast to coast to coast across canada s three oceans using edna metabarcoding |
topic | biodiversity biological monitoring Canada endangered species environmental DNA |
url | https://doi.org/10.1002/edn3.70028 |
work_keys_str_mv | AT loicjacquemot mappingbiodiversitycoasttocoasttocoastacrosscanadasthreeoceansusingednametabarcoding AT brianpvhunt mappingbiodiversitycoasttocoasttocoastacrosscanadasthreeoceansusingednametabarcoding AT shaorongli mappingbiodiversitycoasttocoasttocoastacrosscanadasthreeoceansusingednametabarcoding AT angeladschulze mappingbiodiversitycoasttocoasttocoastacrosscanadasthreeoceansusingednametabarcoding AT christophmdeeg mappingbiodiversitycoasttocoasttocoastacrosscanadasthreeoceansusingednametabarcoding AT benjgsutherland mappingbiodiversitycoasttocoasttocoastacrosscanadasthreeoceansusingednametabarcoding AT amytabata mappingbiodiversitycoasttocoasttocoastacrosscanadasthreeoceansusingednametabarcoding AT connielovejoy mappingbiodiversitycoasttocoasttocoastacrosscanadasthreeoceansusingednametabarcoding AT kristinammiller mappingbiodiversitycoasttocoasttocoastacrosscanadasthreeoceansusingednametabarcoding |