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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Artículo científico |
| Language: | en |
| Published: |
Molecular ecology resources
2026
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| Subjects: | |
| Online Access: | https://pubmed.ncbi.nlm.nih.gov/41451950/ |
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| author | Blanco-Bercial, Leocadio Questel, Jennifer M Batta-Lona, Paola G Escribano, Ruben Falkenhaug, Tone Hirai, Junya Huggett, Jenny A Arbizu, Pedro Martinez Peijnenburg, Katja T C A Suter, Leonie Weydmann-Zwolicka, Agata Dubbeldam, Stacey Duijm, Elza Ershova-Menze, Elizaveta Gonzalez, Carolina E Govender, Ashrenee Groeneveld, Johan Khodami, Sahar MacDonald, Anna J Mioduchowska, Monika Polanowski, Andrea M Rodriguez-Perez, Rocio O'Brien, Todd D Bucklin, Ann |
| author_facet | Blanco-Bercial, Leocadio Questel, Jennifer M Batta-Lona, Paola G Escribano, Ruben Falkenhaug, Tone Hirai, Junya Huggett, Jenny A Arbizu, Pedro Martinez Peijnenburg, Katja T C A Suter, Leonie Weydmann-Zwolicka, Agata Dubbeldam, Stacey Duijm, Elza Ershova-Menze, Elizaveta Gonzalez, Carolina E Govender, Ashrenee Groeneveld, Johan Khodami, Sahar MacDonald, Anna J Mioduchowska, Monika Polanowski, Andrea M Rodriguez-Perez, Rocio O'Brien, Todd D Bucklin, Ann Blanco-Bercial, Leocadio Questel, Jennifer M Batta-Lona, Paola G Escribano, Ruben Falkenhaug, Tone Hirai, Junya Huggett, Jenny A Arbizu, Pedro Martinez Peijnenburg, Katja T C A Suter, Leonie Weydmann-Zwolicka, Agata Dubbeldam, Stacey Duijm, Elza Ershova-Menze, Elizaveta Gonzalez, Carolina E Govender, Ashrenee Groeneveld, Johan Khodami, Sahar MacDonald, Anna J Mioduchowska, Monika Polanowski, Andrea M Rodriguez-Perez, Rocio O'Brien, Todd D Bucklin, Ann |
| collection | PubMed - marine biology |
| contents | MetaZooGene Intercalibration Experiment (MZG-ICE): Metabarcoding Marine Zooplankton Diversity of the Global Ocean. Blanco-Bercial, Leocadio Questel, Jennifer M Batta-Lona, Paola G Escribano, Ruben Falkenhaug, Tone Hirai, Junya Huggett, Jenny A Arbizu, Pedro Martinez Peijnenburg, Katja T C A Suter, Leonie Weydmann-Zwolicka, Agata Dubbeldam, Stacey Duijm, Elza Ershova-Menze, Elizaveta Gonzalez, Carolina E Govender, Ashrenee Groeneveld, Johan Khodami, Sahar MacDonald, Anna J Mioduchowska, Monika Polanowski, Andrea M Rodriguez-Perez, Rocio O'Brien, Todd D Bucklin, Ann Animals Zooplankton DNA Barcoding, Taxonomic Biodiversity Oceans and Seas RNA, Ribosomal, 18S Electron Transport Complex IV Sequence Analysis, DNA 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. |
| format | Artículo científico |
| id | pubmed_41451950 |
| institution | PubMed |
| language | en |
| publishDate | 2026 |
| publisher | Molecular ecology resources |
| record_format | pubmed |
| spellingShingle | MetaZooGene Intercalibration Experiment (MZG-ICE): Metabarcoding Marine Zooplankton Diversity of the Global Ocean. Blanco-Bercial, Leocadio Questel, Jennifer M Batta-Lona, Paola G Escribano, Ruben Falkenhaug, Tone Hirai, Junya Huggett, Jenny A Arbizu, Pedro Martinez Peijnenburg, Katja T C A Suter, Leonie Weydmann-Zwolicka, Agata Dubbeldam, Stacey Duijm, Elza Ershova-Menze, Elizaveta Gonzalez, Carolina E Govender, Ashrenee Groeneveld, Johan Khodami, Sahar MacDonald, Anna J Mioduchowska, Monika Polanowski, Andrea M Rodriguez-Perez, Rocio O'Brien, Todd D Bucklin, Ann Animals Zooplankton DNA Barcoding, Taxonomic Biodiversity Oceans and Seas RNA, Ribosomal, 18S Electron Transport Complex IV Sequence Analysis, DNA MetaZooGene Intercalibration Experiment (MZG-ICE): Metabarcoding Marine Zooplankton Diversity of the Global Ocean. Blanco-Bercial, Leocadio Questel, Jennifer M Batta-Lona, Paola G Escribano, Ruben Falkenhaug, Tone Hirai, Junya Huggett, Jenny A Arbizu, Pedro Martinez Peijnenburg, Katja T C A Suter, Leonie Weydmann-Zwolicka, Agata Dubbeldam, Stacey Duijm, Elza Ershova-Menze, Elizaveta Gonzalez, Carolina E Govender, Ashrenee Groeneveld, Johan Khodami, Sahar MacDonald, Anna J Mioduchowska, Monika Polanowski, Andrea M Rodriguez-Perez, Rocio O'Brien, Todd D Bucklin, Ann Animals Zooplankton DNA Barcoding, Taxonomic Biodiversity Oceans and Seas RNA, Ribosomal, 18S Electron Transport Complex IV Sequence Analysis, DNA 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. |
| title | MetaZooGene Intercalibration Experiment (MZG-ICE): Metabarcoding Marine Zooplankton Diversity of the Global Ocean. |
| topic | Animals Zooplankton DNA Barcoding, Taxonomic Biodiversity Oceans and Seas RNA, Ribosomal, 18S Electron Transport Complex IV Sequence Analysis, DNA |
| url | https://pubmed.ncbi.nlm.nih.gov/41451950/ |