DNA Metabarcoding Captures Temporal and Vertical Dynamics of Mesozooplankton Communities

10.21966/6b20-7r76

In this study, we evaluated how well DNA metabarcoding of environmental samples captures changes in marine mesozooplankton community composition to optimize the use of sequencing data for studying seasonal dynamics. Although DNA metabarcoding is increasingly used to monitor the distribution of marine communities, there is a lack of standardized methods, and it remains uncertain to what extent the DNA data reflects patterns of community dynamics observed by other methods.

To capture seasonal changes in the mesozooplankton community dynamics, samples were collected from small research vessels every 2 weeks before noon (8 a.m.–12 p.m.) during 2017 from a deep-water temperate coastal station (QU39) in the northern Salish Sea, British Columbia (in the Sutil Channel between Marina Island and Quadra Island, lat: 50.0307, long: −125.0992; bottom depth of 260 m). To evaluate the differences between sampling and analysis methods, three different kinds of samples were collected. Zooplankton net samples were collected according to the standard method for zooplankton monitoring in the Strait of Georgia using a bongo ring net with weighted cod ends (0.5 m diameter, 250 µm mesh size; Aquatic Research Instruments, Hope, BC, Canada). In brief, the net was towed vertically from a stationary position, from ∼10 m above the bottom (in our case ∼230 m depth) to the surface, retrieved at 1 meter per second, and with a calibrated flow meter attached to record the sampled volume. One net was preserved in a 4% formaldehyde seawater solution for microscopic analysis. A second net was preserved in 95% ethanol for DNA metabarcoding. Two-liter water samples were collected weekly with Niskin bottles from near the surface at 5, 30, 100, and 260 m depths. The water was filtered onto separate 0.22 µm polycarbonate Sterivex filters and preserved at −80°C after the addition of a sucrose lysis buffer until further molecular analysis. During this sampling campaign, a total of 24 zooplankton nets were collected for microscopic analysis, 26 zooplankton nets for DNA analysis, and 218 filtered water samples from 43 different dates were collected for DNA analysis

To assess if taxa specific trends are sensitive to the selection of genetic marker, we sequenced both short fragment of the COI gene, with primers optimized to capture marine invertebrate community and the 18S gene, with universal primers optimized for marine microbial eukaryotes on an Illumina MiSeq in the Hakai Genome Lab. In doing so, we provide both new insights into the reliability of DNA metabarcoding analysis and guidelines for future studies that aim to use environmental DNA to study marine community dynamics. Further, through analysis of discreet water column DNA samples, we demonstrate the potential of the DNA approach in resolving differences in vertical zooplankton distributions.

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Licence: Creative Commons Attribution 4.0

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Metadata Reference Date(s) September 17, 2026 (Publication)
September 17, 2026 (Revision)
Data Reference Date(s) January 08, 2017 (Creation)
November 30, 2024 (Publication)
Frequency of Update As Needed

Responsible Party 1
Name
Novotny, Andreas ORCID logo
Affiliation
University of British Columbia ROR logo
Email
andreas.novotny@su.se
Role
  • Author
  • Custodian
  • Distributor
  • Originator
  • Owner
  • Point of Contact
  • Publisher
  • Contributor
Responsible Party 2
Name
Rodrigues, Caterina
Affiliation
University of British Columbia ROR logo
Role
  • Co Author
  • Collaborator
  • Editor
  • Contributor
Responsible Party 3
Name
Jacquemot, Loïc ORCID logo
Affiliation
University of British Columbia ROR logo
Role
  • Co Author
  • Collaborator
  • Editor
  • Contributor
Responsible Party 4
Name
Clemente-Carvalho, Rute ORCID logo
Affiliation
Hakai Institute ROR logo
Role
  • Co Author
  • Editor
Responsible Party 5
Name
Piercey, Rebecca ORCID logo
Affiliation
Hakai Institute ROR logo
Role
  • Co Author
  • Editor
  • Contributor
Responsible Party 6
Name
Morien, Evan ORCID logo
Affiliation
Hakai Institute ROR logo
Role
  • Processor
  • Co Author
  • Collaborator
  • Contributor
Responsible Party 7
Name
Galbraith, Moira ORCID logo
Affiliation
Department of Fisheries and Oceans ROR logo
Role
  • Processor
  • Co Author
  • Collaborator
  • Editor
  • Contributor
Responsible Party 8
Name
Kellogg, Colleen ORCID logo
Affiliation
Hakai Institute ROR logo
Role
  • Owner
  • Principal Investigator
  • Co Author
  • Collaborator
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  • Contributor
Responsible Party 9
Name
Lemay, Matthew ORCID logo
Affiliation
Hakai Institute ROR logo
Role
  • Owner
  • Principal Investigator
  • Co Author
  • Collaborator
  • Editor
  • Contributor
Responsible Party 10
Name
Hunt, Brian ORCID logo
Affiliation
University of British Columbia ROR logo
Email
b.hunt@oceans.ubc.ca
Role
  • Originator
  • Owner
  • Principal Investigator
  • Co Author
  • Collaborator
  • Editor
  • Contributor
Responsible Party 11
Affiliation
Hakai Institute ROR logo
Email
data@hakai.org
Role
Distributor
Responsible Party 12
Affiliation
Tula Foundation ROR logo
Role
Funder
Responsible Party 13
Affiliation
CRSNG ROR logo
Role
Funder
Responsible Party 14
Affiliation
Canada Foundation for Innovation ROR logo
Role
Funder

Field Value
Ocean Variables Zooplankton biomass and diversity
Scope Dataset
Status Completed
Topic Category oceans
Maintenance Note Generated from https://hakaiinstitute.github.io/hakai-metadata-entry-form#/en/hakai/jnK2pbrIzbMBHpSiUOi8XDUeev93/-OvzbmseH_syBXg1RXKd
Spatial Extent { "coordinates": [ -125.0992, 50.0307 ], "type": "Point" }
North Bounding Latitude 50.0307
South Bounding Latitude 50.0307
East Bounding Longitude -125.0992
West Bounding Longitude -125.0992
Temporal Extent
Begin
2017-01-08
End
2017-12-11
Vertical Extent
Min
0.0
Max
260.0
Default Locale English
Citation identifier
Code
https://doi.org/10.21966/6b20-7r76
Projects
  1. Genomics
  2. Oceanography
Included in Data Catalogue
Included in Data Catalogue 1
Name
Hakai Data Catalogue
Description
Science on the Coastal Margin
URL
https://catalogue.hakai.org