Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/141752
COMPARTIR / EXPORTAR:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | Spatio-temporal monitoring of deep-sea communities using metabarcoding of sediment DNA and RNA |
Autor: | Guardiola, Magdalena CSIC; Wangensteen, Owen S. CSIC ORCID; Taberlet, Pierre; Coissac, Eric; Uriz, María Jesús CSIC ORCID ; Turon, Xavier CSIC ORCID | Palabras clave: | Submarine canyons Biomonitoring Sediments eDNA 18S eRNA Meiofauna |
Fecha de publicación: | 2016 | Editor: | PeerJ | Citación: | PeerJ 4 : e2807 (2016) | Resumen: | We assessed spatio-temporal patterns of diversity in deep-sea sediment communities using metabarcoding. We chose a recently developed eukaryotic marker based on the v7 region of the 18S rRNA gene. Our study was performed in a submarine canyon and its adjacent slope in the Northwestern Mediterranean Sea, sampled along a depth gradient at two different seasons. We found a total of 5,569 molecular operational taxonomic units (MOTUs), dominated by Metazoa, Alveolata and Rhizaria. Among metazoans, Nematoda, Arthropoda and Annelida were the most diverse. We found a marked heterogeneity at all scales, with important differences between layers of sediment and significant changes in community composition with zone (canyon vs slope), depth, and season. We compared the information obtained from metabarcoding DNA and RNA and found more total MOTUs and more MOTUs per sample with DNA (ca. 20% and 40% increase, respectively). Both datasets showed overall similar spatial trends, but most groups had higher MOTU richness with the DNA template, while others, such as nematodes, were more diverse in the RNA dataset. We provide metabarcoding protocols and guidelines for biomonitoring of these key communities in order to generate information applicable to management efforts. | Descripción: | 30 páginas, 9 figuras, 1 tabla. | Versión del editor: | http://dx.doi.org/10.7717/peerj.2807 | URI: | http://hdl.handle.net/10261/141752 | DOI: | 10.7717/peerj.2807 | ISSN: | 2167-8359 | E-ISSN: | 2167-8359 | Referencias: | Guardiola, Magdalena; Wangensteen, Owen S.; Taberlet, Pierre; Coissac, Eric; Uriz, María Jesús; Turon, Xavier (2017): Data from: Spatio-temporal monitoring of deep-sea communities using metabarcoding of sediment DNA and RNA [Dataset]; Dryad; Version 1; https://doi.org/10.5061/dryad.4kn05 |
Aparece en las colecciones: | (CEAB) Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
Guardiola et al 2016 PeerJ.pdf | 11,97 MB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
PubMed Central
Citations
26
checked on 28-mar-2024
SCOPUSTM
Citations
83
checked on 24-mar-2024
WEB OF SCIENCETM
Citations
80
checked on 29-feb-2024
Page view(s)
295
checked on 27-mar-2024
Download(s)
308
checked on 27-mar-2024
Google ScholarTM
Check
Altmetric
Altmetric
Artículos relacionados:
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.