dc.contributor.author | Bucklin, Ann | |
dc.contributor.author | Batta-Lona, Paola G. | |
dc.contributor.author | Questel, Jennifer M. | |
dc.contributor.author | Wiebe, Peter H. | |
dc.contributor.author | Richardson, David E. | |
dc.contributor.author | Copley, Nancy J. | |
dc.contributor.author | O’Brien, Todd D. | |
dc.coverage.spatial | Northwest Atlantic continental shelf | en_US |
dc.coverage.spatial | Gulf of Maine | en_US |
dc.coverage.spatial | Georges Bank | en_US |
dc.coverage.spatial | Mid- Atlantic Bight | en_US |
dc.date.accessioned | 2022-12-12T13:23:27Z | |
dc.date.available | 2022-12-12T13:23:27Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Bucklin, A., Batta-Lona, P.G.,
Questel, J.M., Wiebe, P.H.,
Richardson, D.E., Copley, N.J.
and O’Brien, T.D. (2022) COI
Metabarcoding of Zooplankton
Species Diversity for Time-Series
Monitoring of the NW Atlantic
Continental Shelf.
Frontiers in Marine Science, 9:867893, 17pp. DOI: https://doi.org/10.3389/fmars.2022.867893 | en_US |
dc.identifier.uri | https://repository.oceanbestpractices.org/handle/11329/2107 | |
dc.description.abstract | Marine zooplankton are rapid-responders and useful indicators of environmental variability
and climate change impacts on pelagic ecosystems on time scales ranging from seasons
to years to decades. The systematic complexity and taxonomic diversity of the
zooplankton assemblage has presented significant challenges for routine morphological
(microscopic) identification of species in samples collected during ecosystem monitoring
and fisheries management surveys. Metabarcoding using the mitochondrial Cytochrome
Oxidase I (COI) gene region has shown promise for detecting and identifying species of
some – but not all – taxonomic groups in samples of marine zooplankton. This study
examined species diversity of zooplankton on the Northwest Atlantic Continental Shelf
using 27 samples collected in 2002-2012 from the Gulf of Maine, Georges Bank, and Mid-
Atlantic Bight during Ecosystem Monitoring (EcoMon) Surveys by the NOAA NMFS
Northeast Fisheries Science Center. COI metabarcodes were identified using the
MetaZooGene Barcode Atlas and Database (https://metazoogene.org/MZGdb) specific
to the North Atlantic Ocean. A total of 181 species across 23 taxonomic groups were
detected, including a number of sibling and cryptic species that were not discriminated by
morphological taxonomic analysis of EcoMon samples. In all, 67 species of 15 taxonomic
groups had ≥ 50 COI sequences; 23 species had >1,000 COI sequences. Comparative
analysis of molecular and morphological data showed significant correlations between
COI sequence numbers and microscopic counts for 5 of 6 taxonomic groups and for 5 of
7 species with >1,000 COI sequences for which both types of data were available.
Multivariate statistical analysis showed clustering of samples within each region based on
both COI sequence numbers and EcoMon counts, although differences among the three
regions were not statistically significant. The results demonstrate the power and potential
of COI metabarcoding for identification of species of metazoan zooplankton in the context
of ecosystem monitoring. | en_US |
dc.language.iso | en | en_US |
dc.rights | Attribution 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject.other | Species diversity | en_US |
dc.subject.other | Metabarcoding | en_US |
dc.subject.other | Cytochrome oxidase I | en_US |
dc.subject.other | Ecosystem monitoring | en_US |
dc.title | COI Metabarcoding of Zooplankton Species Diversity for Time-Series Monitoring of the NW Atlantic Continental Shelf. | en_US |
dc.type | Journal Contribution | en_US |
dc.description.refereed | Refereed | en_US |
dc.format.pagerange | 17pp. | en_US |
dc.identifier.doi | https://doi.org/10.3389/fmars.2022.867893 | |
dc.subject.parameterDiscipline | Zooplankton | en_US |
dc.subject.dmProcesses | Data analysis | en_US |
dc.bibliographicCitation.title | Frontiers in Marine Science | en_US |
dc.bibliographicCitation.volume | 9 | en_US |
dc.bibliographicCitation.issue | Article 867893 | en_US |
dc.description.sdg | 14.a | en_US |
dc.description.eov | Zooplankton biomass and diversity | en_US |
dc.description.maturitylevel | Mature | en_US |
dc.description.adoption | Validated (tested by third parties) | en_US |
dc.description.adoption | Multi-organisational | en_US |
dc.description.adoption | National | en_US |
dc.description.ebv | Community abundance | en_US |
dc.description.methodologyType | Specification of criteria | en_US |
dc.description.methodologyType | Reports with methodological relevance | en_US |
obps.contact.contactname | Ann Bucklin | |
obps.contact.contactemail | ann.bucklin@uconn.edu | |
obps.resourceurl.publisher | https://www.frontiersin.org/articles/10.3389/fmars.2022.867893/ | |