Zoeken
Zoeken kan via de modus 'eenvoudig zoeken' (één veld) of uitgebreid via 'geavanceerd zoeken' (meerdere velden). Zo kan je bv. zoeken op een combinatie van een auteursnaam (auteur), een jaartal (jaar) en een documenttype.
Boekenmand
Nuttige resultaten kan je aanvinken en toevoegen aan een mandje. De inhoud hiervan kan je exporteren of afdrukken (naar bv. PDF).
RSS
Op de hoogte blijven van nieuw toegevoegde publicaties binnen uw interessegebied? Dit kan door een RSS-feed (?) te maken van jouw zoekopdracht.
nieuwe zoekopdracht
one publication added to basket [344946] |
Metabarcoding reveals hidden species and improves identification of marine zooplankton communities in the North Sea
Semmouri, I.; De Schamphelaere, K.A.C.; Willemse, S.; Vandegehuchte, M.B.; Janssen, C.; Asselman, J. (2021). Metabarcoding reveals hidden species and improves identification of marine zooplankton communities in the North Sea. ICES J. Mar. Sci./J. Cons. int. Explor. Mer 78(9): 3411-3427. https://dx.doi.org/10.1093/icesjms/fsaa256
In: ICES Journal of Marine Science. Academic Press: London. ISSN 1054-3139; e-ISSN 1095-9289
| |
Trefwoorden |
Copepoda [WoRMS]; Temora longicornis (Müller O.F., 1785) [WoRMS] Marien/Kust |
Author keywords |
18S barcode, biomonitoring, copepods, MinIon, nanopore sequencing |
Auteurs | | Top |
- Semmouri, I.
- De Schamphelaere, K.A.C.
- Willemse, S.
|
- Vandegehuchte, M.B.
- Janssen, C.
- Asselman, J.
|
|
Abstract |
Although easily collected in large numbers, the subsequent processing and identification of zooplankton have usually been a barrier to large-scale biodiversity assessments. Therefore, DNA barcoding has been increasingly used by non-taxonomists to identify specimens. Here, we studied the community composition of zooplankton in the Belgian part of the North Sea over the course of 1 year. We identified zooplankton using both a traditional approach based on morphological characteristics and by metabarcoding of a 650 bp fragment of the V4-V5 region of the 18S rRNA gene using nanopore sequencing. Using long rDNA sequences, we were able to identify several taxa at the species level, across a broad taxonomic scale. Using both methods, we compared community composition and obtained diversity metrics. Diversity indices were not significantly correlated. Metabarcoding allowed for comparisons of diversity and community composition, but not all groups were successfully sequenced. Additionally, some disparities existed between relative abundances of the most abundant taxa based on traditional counts and those based on sequence reads. Overall, we conclude that for zooplankton samples, metabarcoding is capable of detecting taxa with a higher resolution, regardless of developmental stage of the organism. Combination of molecular and morphological methods results in the highest detection and identification levels of zooplankton. |
IMIS is ontwikkeld en wordt gehost door het VLIZ.