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1.
Environ Microbiol ; 18(2): 609-26, 2016 Feb.
Article En | MEDLINE | ID: mdl-26337598

Dinoflagellates (Alveolata) are one of the ecologically most important groups of modern phytoplankton. Their biological complexity makes assessment of their global diversity and community structure difficult. We used massive V9 18S rDNA sequencing from 106 size-fractionated plankton communities collected across the world's surface oceans during the Tara Oceans expedition (2009-2012) to assess patterns of pelagic dinoflagellate diversity and community structuring over global taxonomic and ecological scales. Our data and analyses suggest that dinoflagellate diversity has been largely underestimated, representing overall ∼ 1/2 of protistan rDNA metabarcode richness assigned at ≥ 90% to a reference sequence in the world's surface oceans. Dinoflagellate metabarcode diversity and abundance display regular patterns across the global scale, with different order-level taxonomic compositions across organismal size fractions. While the pico to nano-planktonic communities are composed of an extreme diversity of metabarcodes assigned to Gymnodiniales or are simply undetermined, most micro-dinoflagellate metabarcodes relate to the well-referenced Gonyaulacales and Peridiniales orders, and a lower abundance and diversity of essentially symbiotic Peridiniales is unveiled in the meso-plankton. Our analyses could help future development of biogeochemical models of pelagic systems integrating the separation of dinoflagellates into functional groups according to plankton size classes.


DNA Barcoding, Taxonomic , Dinoflagellida/classification , Dinoflagellida/genetics , Phytoplankton/classification , Phytoplankton/genetics , RNA, Ribosomal, 18S/genetics , Base Sequence , Biodiversity , DNA, Ribosomal/genetics , Ecology , Oceans and Seas
2.
Sci Data ; 2: 150023, 2015.
Article En | MEDLINE | ID: mdl-26029378

The Tara Oceans expedition (2009-2013) sampled contrasting ecosystems of the world oceans, collecting environmental data and plankton, from viruses to metazoans, for later analysis using modern sequencing and state-of-the-art imaging technologies. It surveyed 210 ecosystems in 20 biogeographic provinces, collecting over 35,000 samples of seawater and plankton. The interpretation of such an extensive collection of samples in their ecological context requires means to explore, assess and access raw and validated data sets. To address this challenge, the Tara Oceans Consortium offers open science resources, including the use of open access archives for nucleotides (ENA) and for environmental, biogeochemical, taxonomic and morphological data (PANGAEA), and the development of on line discovery tools and collaborative annotation tools for sequences and images. Here, we present an overview of Tara Oceans Data, and we provide detailed registries (data sets) of all campaigns (from port-to-port), stations and sampling events.


Ecosystem , Expeditions , Oceans and Seas , Information Dissemination , Plankton , Seawater , Viruses
3.
Science ; 348(6237): 1261605, 2015 May 22.
Article En | MEDLINE | ID: mdl-25999516

Marine plankton support global biological and geochemical processes. Surveys of their biodiversity have hitherto been geographically restricted and have not accounted for the full range of plankton size. We assessed eukaryotic diversity from 334 size-fractionated photic-zone plankton communities collected across tropical and temperate oceans during the circumglobal Tara Oceans expedition. We analyzed 18S ribosomal DNA sequences across the intermediate plankton-size spectrum from the smallest unicellular eukaryotes (protists, >0.8 micrometers) to small animals of a few millimeters. Eukaryotic ribosomal diversity saturated at ~150,000 operational taxonomic units, about one-third of which could not be assigned to known eukaryotic groups. Diversity emerged at all taxonomic levels, both within the groups comprising the ~11,200 cataloged morphospecies of eukaryotic plankton and among twice as many other deep-branching lineages of unappreciated importance in plankton ecology studies. Most eukaryotic plankton biodiversity belonged to heterotrophic protistan groups, particularly those known to be parasites or symbiotic hosts.


Biodiversity , Eukaryota/classification , Plankton/classification , Animals , DNA Barcoding, Taxonomic , DNA, Ribosomal/genetics , Eukaryota/genetics , Oceans and Seas , Phylogeny , Plankton/genetics , Ribosomes/genetics , Sequence Analysis, DNA , Sunlight
4.
Nucleic Acids Res ; 41(Database issue): D597-604, 2013 Jan.
Article En | MEDLINE | ID: mdl-23193267

The interrogation of genetic markers in environmental meta-barcoding studies is currently seriously hindered by the lack of taxonomically curated reference data sets for the targeted genes. The Protist Ribosomal Reference database (PR(2), http://ssu-rrna.org/) provides a unique access to eukaryotic small sub-unit (SSU) ribosomal RNA and DNA sequences, with curated taxonomy. The database mainly consists of nuclear-encoded protistan sequences. However, metazoans, land plants, macrosporic fungi and eukaryotic organelles (mitochondrion, plastid and others) are also included because they are useful for the analysis of high-troughput sequencing data sets. Introns and putative chimeric sequences have been also carefully checked. Taxonomic assignation of sequences consists of eight unique taxonomic fields. In total, 136 866 sequences are nuclear encoded, 45 708 (36 501 mitochondrial and 9657 chloroplastic) are from organelles, the remaining being putative chimeric sequences. The website allows the users to download sequences from the entire and partial databases (including representative sequences after clustering at a given level of similarity). Different web tools also allow searches by sequence similarity. The presence of both rRNA and rDNA sequences, taking into account introns (crucial for eukaryotic sequences), a normalized eight terms ranked-taxonomy and updates of new GenBank releases were made possible by a long-term collaboration between experts in taxonomy and computer scientists.


DNA, Ribosomal/chemistry , Databases, Nucleic Acid , Genes, rRNA , RNA, Ribosomal/chemistry , Ribosome Subunits, Small, Eukaryotic/chemistry , DNA Barcoding, Taxonomic , Eukaryota/classification , Eukaryota/genetics , High-Throughput Nucleotide Sequencing , Internet
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