# name
Spatio-temporal monitoring of deep-sea communities using metabarcoding of sediment DNA and RNA

# metadata.dc.description.abstract[].value
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.

# metadata.dc.rights[].value
cc-by (c) Guardiola, Magdalena et al., 2016

# metadata.dc.source[].value
Articles publicats en revistes (Biologia Evolutiva, Ecologia i Ciències Ambientals)

# metadata.dc.title[].value
Spatio-temporal monitoring of deep-sea communities using metabarcoding of sediment DNA and RNA