Combining metabarcoding and morphological approaches to identify taxa associated with harmful algae blooms

This project aimed to evaluate the ability to use metabarcoding for characterizing the harmful algae species present in known cultures or in samples taken from nature. The work was done using both metabarcoding with next-generation sequencing and with taxonomic identification by microscopy. Samples were additionally evaluated using known qPCR primers. The following amplicons were used: 16S, 18S dinoflagellate and 18S diatom, and large subunit (LSU) rDNA.

Identifier
Source https://data.blue-cloud.org/search-details?step=~012918524D5774E7035A3F49A0627A1143A3731015B
Metadata Access https://data.blue-cloud.org/api/collections/918524D5774E7035A3F49A0627A1143A3731015B
Provenance
Instrument Illumina MiSeq; ILLUMINA
Publisher Blue-Cloud Data Discovery & Access service; ELIXIR-ENA
Publication Year 2024
OpenAccess true
Contact blue-cloud-support(at)maris.nl
Representation
Discipline Marine Science
Spatial Coverage (-128.524W, 48.995S, -116.925E, 52.594N)