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Evaluating the potential of direct RNA nanopore sequencing: Metatranscriptomics highlights possible seasonal differences in a marine pelagic crustacean zooplankton community

Journal Contribution - Journal Article

The implementation of cost-effective monitoring programs for zooplankton remains challenging due to the requirements of taxonomical expertise and the high costs of sampling and species identification. To reduce costs, molecular methods have been proposed as alternatives to morphology-based monitoring. Metatranscriptomics can contribute to promote both cost-effectiveness and accuracy of biological assessments of aquatic ecosystems. Here, we describe and evaluate the construction of a metatranscriptome dataset from a pelagic crustacean zooplankton community. We sampled zooplankton in one marine station, named LW02, in the North Sea, in both winter and summer, and generated transcripts using Oxford Nanopore Technology (ONT), a third-generation nanopore-based sequencing technology. ONT is, uniquely, capable of sequencing RNA directly, rather than depending on reverse transcription and PCR, and applicable to be used directly in the field. We found that metatranscriptomics is capable of species detection, including screening for the presence of endoparasites, hence competing with morphological identification. Taxonomic analysis based on ribosomal 18S transcripts identified calanoid copepods, particularly Temora longicornis and Acartia clausi, as the most abundant community members. Moreover, up to 40.4% and 50.5% of all sequences could be assigned to predicted genes in the winter and summer sample, respectively. The most abundant mRNA transcripts with known function coded for essential metabolic processes. GO term annotation revealed that genes involved in glycolytic and translation-related processes were most expressed in the community. Although small in scale, our study provides the basis for future efforts to characterize the metatranscriptome of marine zooplankton communities and its application in biomonitoring programs.
Journal: Marine Environmental Research
ISSN: 0141-1136
Volume: 153
Pages: 104836
Publication year:2020
Keywords:Community transcriptomics, Metabarcoding, Copepods, MinIon, Temora longicornis, Belgium, North Sea, Copepoda [copepods], Marine/Coastal
Accessibility:Open