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dc.contributor.authorMailli, Amalia Aikaterini
dc.contributor.authorJakt, Lars Martin
dc.contributor.authorReiss, Henning
dc.contributor.authorKopp, Martina Elisabeth Luise
dc.contributor.authorMoum, Truls
dc.date.accessioned2022-11-30T09:00:05Z
dc.date.available2022-11-30T09:00:05Z
dc.date.created2022-10-20T15:30:42Z
dc.date.issued2022
dc.identifier.citationMailli, A. A., Jakt, L. M., Reiss, H., Kopp, M. E. L. & Moum, T. (2022). Exploring the potential of mRNA for taxonomic delineation of marine benthic eukaryotes. Marine Genomics, 62. doi:en_US
dc.identifier.issn1876-7478
dc.identifier.urihttps://hdl.handle.net/11250/3034926
dc.description.abstractDirect sequencing of mRNA isolated from environmental samples has been commonly used to analyze the functional activity of ambient communities and, occasionally used for taxonomic identification. Here we assess the viability of using mRNA for investigating the species composition of marine benthic eukaryotes. Total RNA was extracted from sediments sampled close to fish farms and mRNA was sequenced after poly-A enrichment on an Illumina MiSeq sequencer. We investigated the origin of both raw reads and assembled contigs by aligning them to the NCBI non-redundant (nr/nt) nucleotide database. Although sequences were predominantly of eukaryotic origin, the analyses were complicated both by experimental and database artefacts. These issues were addressed by applying filtering procedures that removed the majority of ambiguous sequences from downstream analyses. These processes resulted in a set of 436 high-confidence contigs, the vast majority of which mapped to benthic organisms. Our alignments were dominated by annelids, consistent with burrowing groups found in a parallel morphological analysis. This study shows that it is possible to obtain adequate taxonomic information from the RNA of an eukaryotic community from a limited sample at a moderate cost, demonstrates how both laboratory and in silico artefacts can be overcome through appropriate bioinformatic procedures, and finally highlights some of the drawbacks and caveats of using NCBI as a reference database for such a dataseten_US
dc.description.abstractExploring the potential of mRNA for taxonomic delineation of marine benthic eukaryotesen_US
dc.language.isoengen_US
dc.titleExploring the potential of mRNA for taxonomic delineation of marine benthic eukaryotesen_US
dc.title.alternativeExploring the potential of mRNA for taxonomic delineation of marine benthic eukaryotesen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2022 Elsevier B.Ven_US
dc.source.volume62en_US
dc.source.journalMarine Genomicsen_US
dc.identifier.doi10.1016/j.margen.2022.100934
dc.identifier.cristin2063353


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