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Metabarcoding of marine zooplankton communities in the North Sea using nanopore sequencing

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Academic year: 2022

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Marine calanoid copepods are vital components of the marine food web that transfer energy directly from phytoplankton to higher trophic

Acknowledgements

The authors are grateful to the following institutes:

Metabarcoding of marine zooplankton communities in the North Sea using nanopore sequencing

1 Ghent University, Laboratory of Environmental Toxicology and Aquatic Ecology, Faculty of Bioscience Engineering, 9000 Ghent, Belgium 2 Flanders Marine Institute VLIZ, InnovOcean Site, Wandelaarkaai 7, 8400 Ostend, Belgium

3 Blue Growth Research Lab, Ghent University, Bluebridge Ostend Science Park, Wetenschapspark 1, 8400 Ostend, Belgium

Ilias Semmouri 1, Karel A.C. De Schamphelaere 1, Stijn Willemse 1, Colin R. Janssen 1,3, Michiel B. Vandegehuchte 2, Jana Asselman 1,3

Contact

Ilias.semmouri@ugent.be www.ecotox.ugent.be

@ ISemmouri

Ghent University

Introduction

• Although easily collected in large numbers, the subsequent processing and identification of zooplankton samples has usually been a barrier to large-scale biodiversity assessments.

• Our objective was to establish an efficient method for capturing the biodiversity of the zooplankton community across space and time in the Belgian Part of the North Sea (BPNS) using nanopore sequencing.

Conclusions

We have demonstrated the feasibility of detecting taxa with a higher resolution using nanopore seq.

Metabarcoding allowed for comparisons of diversity and

community composition, but not all groups were detected.

Results & Discussion

Morphology

Material & Methods

Sampling campaign in the BPNS:

- 5 timepoints - 3 stations

Nanopore sequencing (MinION)

Basecalling & quality control of the reads

Mapping

Identification &

statistical analyses

Morphological study

DNA extraction &

Barcode amplification

Venn diagram of number of taxa detected by each

method. The numbers are based on lowest morphological annotation level

Above: Comparison of α diversity measures for both the metabarcoding and the morphological

approach. A) Species Richness. B) Shannon Index. C-D) (Inverse) Simpson Index.

Left: Comparison of species number in water samples for both the metabarcoding and the morphology approach.

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