The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
DNA metabarcoding of littoral hard-bottom communities: high diversity and database gaps revealed by two molecular markers
Open accessAbstract
Biodiversity assessment of marine hard-bottom communities is hindered by the high diversity and size-ranges of the organisms present. We developed a DNA metabarcoding protocol for biodiversity characterization of structurally complex natural marine hard-bottom communities. We used two molecular markers: the “Leray fragment” of mitochondrial cytochrome c oxidase(COI), for which a novel primer set was developed, and the V7 region of the nuclear small subunit ribosomal RNA (18S). Eight different shallow marine littoral communities from two National Parks in Spain (one in the Atlantic Ocean and another in the Mediterranean Sea) were studied. Samples were sieved into three size fractions from where DNA was extracted separately. Bayesian clustering was used for delimiting molecular operational taxonomic units (MOTUs) and custom reference databases were constructed for taxonomic assignment. Despite applying stringent filters, we found high values for MOTU richness (2,510 and 9,679 MOTUs with 18S and COI, respectively), suggesting that these communities host a large amount of yet undescribed eukaryotic biodiversity. Significant gaps are still found in sequence reference databases, which currently prevent the complete taxonomic assignment of the detected sequences. In our dataset, 85% of 18S MOTUs and 64% of COI MOTUs could be identified to phylum or lower taxonomic level. Nevertheless, those unassigned were mostly rare MOTUs with low numbers of reads, and assigned MOTUs comprised over 90% of the total sequence reads. The identification rate might be significantly improved in the future, as reference databases are further completed. Our results show that marine metabarcoding, currently applied mostly to plankton or sediments, can be adapted to structurally complex hard bottom samples. Thus, eukaryotic metabarcoding emerges as a robust, fast, objective and affordable method to comprehensively characterize the diversity of marine benthic communities dominated by macroscopic seaweeds and colonial or modular sessile metazoans. The 18S marker lacks species-level resolution and thus cannot be recommended to assess the detailed taxonomic composition of these communities. Our new universal primers for COI can potentially be used for biodiversity assessment with high taxonomic resolution in a wide array of marine, terrestrial or freshwater eukaryotic communities.
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R: A Language and Environment for Statistical Computing
R Core Team (2025) · doi:10.32614/r.manuals · Cited by 352,181
vegan: Community Ecology Package
Oksanen, J., Simpson, G. L., Blanchet, F. G., Kindt, R., Legendre, P., Minchin, P. R., O'Hara, R. B., Solymos, P., Stevens, M. H. H., Szoecs, E., et al. (2001) · CRAN: Contributed Packages · doi:10.32614/cran.package.vegan · Cited by 22,615
Non‐parametric multivariate analyses of changes in community structure
CLARKE, K. R. (1993) · Australian Journal of Ecology · doi:10.1111/j.1442-9993.1993.tb00438.x · Cited by 14,128
VSEARCH: a versatile open source tool for metagenomics
(2016) · doi:10.7717/peerj.2584 · Cited by 10,773
bold : The Barcode of Life Data System (http://www.barcodinglife.org)
RATNASINGHAM, S., & HEBERT, P. D. N. (2007) · Molecular Ecology Notes · doi:10.1111/j.1471-8286.2007.01678.x · Cited by 6,376
Barcoding animal life: cytochrome c oxidase subunit 1 divergences among closely related species
Hebert, P. D. N., Ratnasingham, S., & de Waard, J. R. (2003) · Proceedings of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rsbl.2003.0025 · Cited by 4,466
The Biodiversity of the Mediterranean Sea: Estimates, Patterns, and Threats
Coll, M., Piroddi, C., Steenbeek, J., Kaschner, K., Ben Rais Lasram, F., Aguzzi, J., Ballesteros, E., Bianchi, C. N., Corbera, J., Dailianis, T., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0011842 · Cited by 2,155
Eukaryotic plankton diversity in the sunlit ocean
de Vargas, C., Audic, S., Henry, N., Decelle, J., Mahé, F., Logares, R., Lara, E., Berney, C., Le Bescot, N., Probert, I., et al. (2015) · Science · doi:10.1126/science.1261605 · Cited by 2,003
Towards next-generation biodiversity assessment using DNA metabarcoding
TABERLET, P., COISSAC, E., POMPANON, F., BROCHMANN, C., & WILLERSLEV, E. (2012) · Molecular Ecology · doi:10.1111/j.1365-294x.2012.05470.x · Cited by 1,907
Leray, M., Yang, J. Y., Meyer, C. P., Mills, S. C., Agudelo, N., Ranwez, V., Boehm, J. T., & Machida, R. J. (2013) · Frontiers in Zoology · doi:10.1186/1742-9994-10-34 · Cited by 1,636
Metadata
- Authors
- Wangensteen, O. S., Palacín, C., Guardiola, M., & Turon, X.
- Venue
- PeerJ
- Publisher
- PeerJ
- Published
- 2018-05-04
- Volume
- 6
- Pages
- e4705
- ISSN
- 2167-8359 (ISSN-L)
- OpenAlex
- W2801860893
- Cited by
- 312
- References
- 55
- FWCI
- 21.91
- Type
- journal article
- Language
- en
- Open access
- gold
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