Back

Metabarcoding reveals different zooplankton communities in northern and southern areas of the North Sea

Macher, J.-N.; van der Hoorn, B. B.; Peijnenburg, K.; van Walraven, L.; Renema, W.

2020-07-24 molecular biology
10.1101/2020.07.23.218479 bioRxiv
Show abstract

Zooplankton are key players in marine ecosystems, linking primary production to higher trophic levels. The high abundance and high taxonomic diversity renders zooplankton ideal for biodiversity monitoring. However, taxonomic identification of the zooplankton assemblage is challenging due to its high diversity, subtle morphological differences and the presence of many meroplanktonic species, especially in coastal seas. Molecular techniques such as metabarcoding can help with rapid processing and identification of taxa in complex samples, and are therefore promising tools for identifying zooplankton communities. In this study, we applied metabarcoding of the mitochondrial cytochrome c oxidase I gene to zooplankton samples collected along a latitudinal transect in the North Sea, a shelf sea of the Atlantic Ocean. Northern regions of the North Sea are influenced by inflow of oceanic Atlantic waters, whereas the southern parts are characterised by more coastal waters. Our metabarcoding results indicated strong differences in zooplankton community composition between northern and southern areas of the North Sea, particularly in the classes Copepoda, Actinopterygii (ray-finned fishes) and Polychaeta. We compared these results to the known distributions of species reported in previous studies, and by comparing the abundance of copepods to data obtained from the Continuous Plankton Recorder (CPR). We found that our metabarcoding results are mostly congruent with the reported distribution and abundance patterns of zooplankton species in the North Sea. Our results highlight the power of metabarcoding to rapidly assess complex zooplankton samples, and we suggest that the technique could be used in future monitoring campaigns and biodiversity assessments. HighlightsO_LIZooplankton communities are different in northern and southern areas of the North Sea C_LIO_LIMetabarcoding results are consistent with known species distributions and abundance C_LIO_LIMetabarcoding allows for fast identification of meroplanktonic species C_LI

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
PLOS ONE
4510 papers in training set
Top 8%
19.2%
2
Frontiers in Marine Science
55 papers in training set
Top 0.1%
10.8%
3
Scientific Reports
3102 papers in training set
Top 11%
7.4%
4
Environmental DNA
49 papers in training set
Top 0.1%
6.6%
5
Molecular Ecology Resources
161 papers in training set
Top 0.2%
4.5%
6
PeerJ
261 papers in training set
Top 1%
4.3%
50% of probability mass above
7
Metabarcoding and Metagenomics
12 papers in training set
Top 0.1%
4.1%
8
Aquaculture
29 papers in training set
Top 0.2%
3.7%
9
Ecology and Evolution
232 papers in training set
Top 1%
2.8%
10
BMC Genomics
328 papers in training set
Top 2%
2.2%
11
Wellcome Open Research
57 papers in training set
Top 0.7%
1.8%
12
Microorganisms
101 papers in training set
Top 0.7%
1.7%
13
Water Research
74 papers in training set
Top 0.9%
1.7%
14
Viruses
318 papers in training set
Top 3%
1.5%
15
Freshwater Biology
11 papers in training set
Top 0.1%
1.3%
16
Journal of Phycology
11 papers in training set
Top 0.1%
0.9%
17
Biology Open
130 papers in training set
Top 2%
0.9%
18
Frontiers in Microbiology
375 papers in training set
Top 8%
0.8%
19
Biology Methods and Protocols
53 papers in training set
Top 2%
0.8%
20
mSystems
361 papers in training set
Top 7%
0.8%
21
BMC Bioinformatics
383 papers in training set
Top 7%
0.7%
22
Current Microbiology
18 papers in training set
Top 0.7%
0.7%
23
Limnology and Oceanography: Methods
11 papers in training set
Top 0.5%
0.5%
24
Ecological Indicators
20 papers in training set
Top 0.7%
0.5%
25
Evolutionary Applications
91 papers in training set
Top 2%
0.5%
26
Data in Brief
13 papers in training set
Top 0.8%
0.5%
27
Biology
43 papers in training set
Top 4%
0.5%