The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Marine protist diversity in European coastal waters and sediments as revealed by high‐throughput sequencing
Open accessAbstract
Summary: Although protists are critical components of marine ecosystems, they are still poorly characterized. Here we analysed the taxonomic diversity of planktonic and benthic protist communities collected in six distant E uropean coastal sites. Environmental deoxyribonucleic acid ( DNA ) and ribonucleic acid ( RNA ) from three size fractions (pico‐, nano‐ and micro/mesoplankton), as well as from dissolved DNA and surface sediments were used as templates for tag pyrosequencing of the V4 region of the 18S ribosomal DNA. Beta‐diversity analyses split the protist community structure into three main clusters: picoplankton‐nanoplankton‐dissolved DNA , micro/mesoplankton and sediments. Within each cluster, protist communities from the same site and time clustered together, while communities from the same site but different seasons were unrelated. Both DNA and RNA ‐based surveys provided similar relative abundances for most class‐level taxonomic groups. Yet, particular groups were overrepresented in one of the two templates, such as marine alveolates ( MALV )‐ I and MALV‐II that were much more abundant in DNA surveys. Overall, the groups displaying the highest relative contribution were Dinophyceae, Diatomea, Ciliophora and Acantharia. Also, well represented were Mamiellophyceae, Cryptomonadales, marine alveolates and marine stramenopiles in the picoplankton, and Monadofilosa and basal F ungi in sediments. Our extensive and systematic sequencing of geographically separated sites provides the most comprehensive molecular description of coastal marine protist diversity to date.
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Basic local alignment search tool
Altschul, S. F., Gish, W., Miller, W., Myers, E. W., & Lipman, D. J. (1990) · Journal of Molecular Biology · doi:10.1006/jmbi.1990.9999 · Cited by 98,669
The SILVA ribosomal RNA gene database project: improved data processing and web-based tools
Quast, C., Pruesse, E., Yilmaz, P., Gerken, J., Schweer, T., Yarza, P., Peplies, J., & Glöckner, F. O. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1219 · Cited by 33,055
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
Search and clustering orders of magnitude faster than BLAST
Edgar, R. C. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq461 · Cited by 20,826
UCHIME improves sensitivity and speed of chimera detection
Edgar, R. C., Haas, B. J., Clemente, J. C., Quince, C., & Knight, R. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr381 · Cited by 15,114
Vegan : community ecology package. R package version 1.17-9
Oksanen, J. (2007) · Medical Entomology and Zoology · Cited by 6,549
Chimeric 16S rRNA sequence formation and detection in Sanger and 454-pyrosequenced PCR amplicons
Haas, B. J., Gevers, D., Earl, A. M., Feldgarden, M., Ward, D. V., Giannoukos, G., Ciulla, D., Tabbaa, D., Highlander, S. K., Sodergren, E., et al. (2011) · Genome Research · doi:10.1101/gr.112730.110 · Cited by 3,473
Guillou, L., Bachar, D., Audic, S., Bass, D., Berney, C., Bittner, L., Boutte, C., Burgaud, G., de Vargas, C., Decelle, J., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1160 · Cited by 2,362
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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
Self-citationSTOECK, T., BASS, D., NEBEL, M., CHRISTEN, R., JONES, M. D. M., BREINER, H., & RICHARDS, T. A. (2010) · Molecular Ecology · doi:10.1111/j.1365-294x.2009.04480.x · Cited by 1,747
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Burki, F., Roger, A. J., Brown, M. W., & Simpson, A. G. B. (2020) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2019.08.008 · Cited by 913
Thomas, S., Izard, J., Walsh, E., Batich, K., Chongsathidkiet, P., Clarke, G., Sela, D. A., Muller, A. J., Mullin, J. M., Albert, K., et al. (2017) · Cancer Research · doi:10.1158/0008-5472.can-16-2929 · Cited by 367
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Mahé, F., de Vargas, C., Bass, D., Czech, L., Stamatakis, A., Lara, E., Singer, D., Mayor, J., Bunge, J., Sernaker, S., et al. (2017) · Nature Ecology & Evolution · doi:10.1038/s41559-017-0091 · Cited by 323
Self-citationWangensteen, O. S., Palacín, C., Guardiola, M., & Turon, X. (2018) · PeerJ · doi:10.7717/peerj.4705 · Cited by 312
Piredda, R., Tomasino, M. P., D'Erchia, A. M., Manzari, C., Pesole, G., Montresor, M., Kooistra, W. H. C. F., Sarno, D., & Zingone, A. (2017) · FEMS Microbiology Ecology · doi:10.1093/femsec/fiw200 · Cited by 266
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Metadata
- Authors
- Massana, R., Gobet, A., Audic, S., Bass, D., Bittner, L., Boutte, C., Chambouvet, A., Christen, R., Claverie, J., Decelle, J., Dolan, J. R., Dunthorn, M., Edvardsen, B., Forn, I., Forster, D., Guillou, L., Jaillon, O., Kooistra, W. H. C. F., Logares, R., Mahé, F., Not, F., Ogata, H., Pawlowski, J., Pernice, M. C., Probert, I., Romac, S., Richards, T., Santini, S., Shalchian‐Tabrizi, K., Siano, R., Simon, N., Stoeck, T., Vaulot, D., Zingone, A., & de Vargas, C.
- Venue
- Environmental Microbiology
- Publisher
- Wiley
- Published
- 2015-08-04
- Volume
- 17
- Issue
- 10
- Pages
- 4035-4049
- ISSN
- 1462-2912 (ISSN-L)
- 1462-2920
- OpenAlex
- W1946113201
- Cited by
- 388
- References
- 51
- FWCI
- 17.37
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Massana, R., Gobet, A., Audic, S., Bass, D., Bittner, L., Boutte, C., Chambouvet, A., Christen, R., Claverie, J., Decelle, J., Dolan, J. R., Dunthorn, M., Edvardsen, B., Forn, I., Forster, D., Guillou, L., Jaillon, O., Kooistra, W. H. C. F., Logares, R., . . . de Vargas, C. (2015). Marine protist diversity in European coastal waters and sediments as revealed by high‐throughput sequencing. Environmental Microbiology. https://doi.org/10.1111/1462-2920.12955
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