MetaZooGene Intercalibration Experiment (MZG-ICE) Metabarcoding Marine Zooplankton Diversity of the Global Ocean

Open Access
Authors
  • Leocadio Blanco-Bercial
  • Jennifer M. Questel
  • Paola G. Batta-Lona
  • Ruben Escribano
  • Tone Falkenhaug
  • Junya Hirai
  • Jenny A. Huggett
  • Pedro Martinez Arbizu
  • Katja T.C.A. Peijnenburg ORCID logo
  • Leonie Suter
  • Agata Weydmann-Zwolicka
  • Stacey Dubbeldam
  • Elza Duijm
  • Elizaveta Ershova-Menze
  • Carolina E. Gonzalez
  • Ashrenee Govender
  • Johan Groeneveld
  • Sahar Khodami
  • Anna J. MacDonald
  • Monika Mioduchowska
  • Andrea M. Polanowski
  • Rocio Rodriguez-Perez
  • Todd D. O'Brien
  • Ann Bucklin
Publication date 01-2026
Journal Molecular Ecology Resources
Article number e70090
Volume | Issue number 26 | 1
Number of pages 23
Organisations
  • Faculty of Science (FNWI) - Institute for Biodiversity and Ecosystem Dynamics (IBED)
Abstract

DNA metabarcoding of zooplankton biodiversity is used increasingly for monitoring global ocean ecosystems, requiring comparable data from different research laboratories and ocean regions. The MetaZooGene Intercalibration Experiment (MZG-ICE) was designed to examine1 and analyse patterns of variation of DNA sequence data resulting from multi-gene metabarcoding of 10 zooplankton samples carried out by 10 research groups affiliated with the Scientific Committee for Ocean Research (SCOR). Aliquots of DNA extracted from the 10 zooplankton samples were distributed to MZG-ICE groups for metabarcoding of four gene regions: V1-V2, V4 and V9 of nuclear 18S rRNA and mitochondrial COI. Molecular protocols and procedures were recommended; substitutions were allowed as necessary. Resulting data were uploaded to a common repository for centralised statistics and bioinformatics. Based on proportional sequence numbers for abundant phyla, overall patterns of variation were consistent across many—but not all—MZG-ICE groups. V9 showed highest similarity, followed (in order) by V4, V1-V2, and COI. Outlier data were hypothesised to result from the use of different PCR protocols and sequencing platforms, and possible contamination. MZG-ICE results indicated that DNA metabarcoding data from different laboratories and research groups can provide reliable, accurate and valid descriptions of biodiversity of zooplankton throughout the ocean. Recommendations included: pre-screening QA/QC of raw data, detailed records for laboratory protocols, reagents, and instrumentation, and centralised bioinformatics and multivariate statistics. In the absence of universal agreement on standardised protocols or best practices, intercalibration is the best way forward toward validation of DNA metabarcoding of zooplankton diversity for global ocean monitoring.

Document type Article
Note With supplementary files.
Language English
Published at https://doi.org/10.1111/1755-0998.70090
Other links https://www.scopus.com/pages/publications/105025830606
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