Project description:ITS2 metabarcoding of plants Raw sequence reads
| PRJNA704945 | ENA
Project description:Monogenean diversity assessed by a metabarcoding approach
| PRJNA750891 | ENA
Project description:Endogenous fungi from wheat ITS2 Raw sequence reads
| PRJNA899455 | ENA
Project description:Discovering neglected lichen diversity with DNA-based inventories: metabarcoding lichen-forming fungi in Bryce Canyon National Park, Utah, USA
Project description:We have utilized the raw sequence data from our earlier investigation of the lichen transcriptome to design a custom DNA microarray for C. rangiferina in order to study the transcripts expressed in lichen thallus during dehydration and rehydration. The aim of this study was to identify the genes most differentially expressed during the rehydration and drying processes and also to get a more integrative view of the molecular players who may play roles in the processes required for lichen desiccation tolerance and the rapid re-establishment of photosynthesis through functional annotation.
Project description:Monitoring microbial communities can aid in understanding the state of these habitats. Environmental DNA (eDNA) techniques provide efficient and comprehensive monitoring by capturing broader diversity. Besides structural profiling, eDNA methods allow the study of functional profiles, encompassing the genes within the microbial community. In this study, three methodologies were compared for functional profiling of microbial communities in estuarine and coastal sites in the Bay of Biscay. The methodologies included inference from 16S metabarcoding data using Tax4Fun, GeoChip microarrays, and shotgun metagenomics.
