Show simple item record

dc.contributor.authorErshova, Elizaveta
dc.contributor.authorWangensteen, Owen S.
dc.contributor.authorDescoteaux, Raphaelle
dc.contributor.authorBarth-Jensen, Coralie Marie Christine
dc.contributor.authorPræbel, Kim
dc.date.accessioned2021-09-13T07:52:40Z
dc.date.available2021-09-13T07:52:40Z
dc.date.issued2021-08-31
dc.description.abstractAlthough metabarcoding is a well-established tool for describing diversity of pelagic communities, its quantitative value is still controversial, with poor correlations previously reported between organism abundance/biomass and sequence reads. In this study, we explored an enhanced quantitative approach by metabarcoding whole zooplankton communities using a highly degenerate primer set for the mitochondrial marker cytochrome oxidase I and compared the results to biomass estimates obtained using the traditional morphological approach of processing zooplankton samples. As expected, detected species richness using the metabarcoding approach was 3–4 times higher compared to morphological processing, with the highest differences found in the meroplankton fraction. About 75% of the species identified using microscopy were also recovered in the metabarcoding run. Within the taxa detected using both approaches, the relative numbers of sequence counts showed a strong quantitative relationship to their relative biomass, estimated from length-weight regressions, for a wide range of metazoan taxa. The highest correlations were found for crustaceans and the lowest for meroplanktonic larvae. Our results show that the reported approach of using a metabarcoding marker with improved taxonomic resolution, universal coverage for metazoans, reduced primer bias, and availability of a comprehensive reference database, allow for rapid and relatively inexpensive processing of hundreds of samples at a higher taxonomic resolution than traditional zooplankton sorting. The described approach can therefore be widely applied for monitoring or ecological studies.en_US
dc.identifier.citationErshova E, Wangensteen OS, Descoteaux R, Barth-Jensen C, Præbel K. Metabarcoding as a quantitative tool for estimating biodiversity and relative biomass of marine zooplankton. ICES Journal of Marine Science. 2021en_US
dc.identifier.cristinIDFRIDAID 1930508
dc.identifier.doi10.1093/icesjms/fsab171
dc.identifier.issn1054-3139
dc.identifier.issn1095-9289
dc.identifier.urihttps://hdl.handle.net/10037/22492
dc.language.isoengen_US
dc.publisherOxford University Pressen_US
dc.relation.journalICES Journal of Marine Science
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2021 The Author(s)en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400en_US
dc.titleMetabarcoding as a quantitative tool for estimating biodiversity and relative biomass of marine zooplanktonen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


File(s) in this item

Thumbnail

This item appears in the following collection(s)

Show simple item record