ALBERT

Description: Unpublished

Description: Unpublished

Description: The present data set provides a tab separated text file compressed in a zip archive. The file includes metadata for each TaraOceans V9 rDNA metabarcode including the following fields:md5sum = unique identifier; lineage = taxonomic path associated to the metabarcode; pid = % identity to the closest reference barcode from V9_PR2; sequence = nucleotide sequence of the metabarcode; refs = identity of the best hit reference sequence(s); TARA_xxx = number of occurrences of this barcode in each of the 334 samples; totab = total abundance of the barcode ; cid = identifier of the OTU to which the barcode belongs; and taxogroup = high-taxonomic level assignation of this barcode. The file also includes three categories of functional annotations: (1) Chloroplast: yes, presence of permanent chloroplast; no, absence of permanent chloroplast ; NA, undetermined. (2) Symbiont (small partner): parasite, the species is a parasite; commensal, the species is a commensal; mutualist, the species is a mutualist symbiont, most often a microalgal taxon involved in photosymbiosis; no the species is not involved in a symbiosis as small partner; NA, undetermined. (3) Symbiont (host): photo, the host species relies on a mutualistic microalgal photosymbiont to survive (obligatory photosymbiosis); photo_falc, same as photo, but facultative relationship; photo_klep, the host species maintains chloroplasts from microalgal prey(s) to survive; photo_klep_falc, same as photo_klep, but facultative; Nfix, the host species must interact with a mutualistic symbiont providing N2 fixation to survive; Nfix_falc, same as Nfix, but facultative; no, the species is not involved in any mutualistic symbioses; NA, undetermined. For example, the collodarian/Brandtodinium symbiosis is annotated: Chloroplast, "no"; Symbiont (small), "no"; Symbiont (host), "photo", for the collodarian host; and: Chloroplast, "yes"; Symbiont (small), "mutualist"; Symbiont (host), "no", for the dinoflagellate microalgal endosymbiont.chloroplast = "yes", "no" or "NA"; symbiont.small = "parasite", "commensal", "mutualist", "no" or "NA"; symbiont.host = "photo", "photo_falc", "photo_klep", "Nfix", no or NA; benef = "Nfix", "no" or "NA"; trophism = Metazoa , heterotroph , NA , photosymbiosis , phototroph according to the previous fields.

Description: The present data set provides an Excel file in a zip archive. The file lists 334 samples of size fractionated eukaryotic plankton community with a suite of associated metadata (Database W1). Note that if most samples represented the piconano- (0.8-5 µm, 73 samples), nano- (5-20 µm, 74 samples), micro- (20-180 µm, 70 samples), and meso- (180-2000 µm, 76 samples) planktonic size fractions, some represented different organismal size-fractions: 0.2-3 µm (1 sample), 0.8-20 µm (6 samples), 0.8 µm - infinity (33 samples), and 3-20 µm (1 sample). The table contains the following fields: a unique sample sequence identifier; the sampling station identifier; the Tara Oceans sample identifier (TARA_xxxxxxxxxx); an INDSC accession number allowing to retrieve raw sequence data for the major nucleotide databases (short read archives at EBI, NCBI or DDBJ); the depth of sampling (Subsurface - SUR or Deep Chlorophyll Maximum - DCM); the targeted size range; the sequences template (either DNA or WGA/DNA if DNA extracted from the filters was Whole Genome Amplified); the latitude of the sampling event (decimal degrees); the longitude of the sampling event (decimal degrees); the time and date of the sampling event; the device used to collect the sample; the logsheet event corresponding to the sampling event ; the volume of water sampled (liters). Then follows information on the cleaning bioinformatics pipeline shown on Figure W2 of the supplementary litterature publication: the number of merged pairs present in the raw sequence file; the number of those sequences matching both primers; the number of sequences after quality-check filtering; the number of sequences after chimera removal; and finally the number of sequences after selecting only barcodes present in at least three copies in total and in at least two samples. Finally, are given for each sequence sample: the number of distinct sequences (metabarcodes); the number of OTUs; the average number of barcode per OTU; the Shannon diversity index based on barcodes for each sample (URL of W4 dataset in PANGAEA); and the Shannon diversity index based on each OTU (URL of W5 dataset in PANGAEA).

Description: The present data set provides a tab separated text file compressed in a zip archive. The file includes metadata for each TaraOceans V9 rDNA metabarcode including the following fields: md5sum = unique identifier; lineage = taxonomic path associated to the metabarcode; pid = % identity to the closest reference barcode from V9_PR2; sequence = nucleotide sequence of the metabarcode; refs = identity of the best hit reference sequence(s); TARA_xxx = number of occurrences of this barcode in each of the 334 samples; totab = total abundance of the barcode ; cid = identifier of the OTU to which the barcode belongs; and taxogroup = high-taxonomic level assignation of this barcode. The file also includes three categories of functional annotations: (1) Chloroplast: yes, presence of permanent chloroplast; no, absence of permanent chloroplast ; NA, undetermined. (2) Symbiont (small partner): parasite, the species is a parasite; commensal, the species is a commensal; mutualist, the species is a mutualist symbiont, most often a microalgal taxon involved in photosymbiosis; no the species is not involved in a symbiosis as small partner; NA, undetermined. (3) Symbiont (host): photo, the host species relies on a mutualistic microalgal photosymbiont to survive (obligatory photosymbiosis); photo_falc, same as photo, but facultative relationship; photo_klep, the host species maintains chloroplasts from microalgal prey(s) to survive; photo_klep_falc, same as photo_klep, but facultative; Nfix, the host species must interact with a mutualistic symbiont providing N2 fixation to survive; Nfix_falc, same as Nfix, but facultative; no, the species is not involved in any mutualistic symbioses; NA, undetermined. For example, the collodarian/Brandtodinium symbiosis is annotated: Chloroplast, "no"; Symbiont (small), "no"; Symbiont (host), "photo", for the collodarian host; and: Chloroplast, "yes"; Symbiont (small), "mutualist"; Symbiont (host), "no", for the dinoflagellate microalgal endosymbiont.chloroplast = "yes", "no" or "NA"; symbiont.small = "parasite", "commensal", "mutualist", "no" or "NA"; symbiont.host = "photo", "photo_falc", "photo_klep", "Nfix", no or NA; benef = "Nfix", "no" or "NA"; trophism = Metazoa , heterotroph , NA , photosymbiosis , phototroph according to the previous fields.

Description: The present data set provides a tab separated text file compressed in a zip archive. The file includes metadata for each TaraOceans V9 rDNA OTU including the following fields: md5sum = identifier of the representative (most abundant) sequence of the swarm; cid = identifier of the OTU; totab = total abundance of barcodes in this OTU; TARA_xxx = number of occurrences of barcodes in this OTU in each of the 334 samples;rtotab = total abundance of the representative barcode; pid = percentage identity of the representative barcode to the closest reference sequence from V9_PR2; lineage = taxonomic path assigned to the representative barcode ; refs = best hit reference sequence(s) with respect to the representative barcode ; taxogroup = high-taxonomic level assignation of the representative barcode. The file also includes three categories of functional annotations: (1) Chloroplast: yes, presence of permanent chloroplast; no, absence of permanent chloroplast ; NA, undetermined. (2) Symbiont (small partner): parasite, the species is a parasite; commensal, the species is a commensal; mutualist, the species is a mutualist symbiont, most often a microalgal taxon involved in photosymbiosis; no the species is not involved in a symbiosis as small partner; NA, undetermined. (3) Symbiont (host): photo, the host species relies on a mutualistic microalgal photosymbiont to survive (obligatory photosymbiosis); photo_falc, same as photo, but facultative relationship; photo_klep, the host species maintains chloroplasts from microalgal prey(s) to survive; photo_klep_falc, same as photo_klep, but facultative; Nfix, the host species must interact with a mutualistic symbiont providing N2 fixation to survive; Nfix_falc, same as Nfix, but facultative; no, the species is not involved in any mutualistic symbioses; NA, undetermined.

Description: Amazon forests are a key but poorly understood component of the global carbon cycle. If, as anticipated, they dry this century, they might accelerate climate change through carbon losses and changed surface energy balances. We used records from multiple long-term monitoring plots across Amazonia to assess forest responses to the intense 2005 drought, a possible analog of future events. Affected forest lost biomass, reversing a large long-term carbon sink, with the greatest impacts observed where the dry season was unusually intense. Relative to pre-2005 conditions, forest subjected to a 100-millimeter increase in water deficit lost 5.3 megagrams of aboveground biomass of carbon per hectare. The drought had a total biomass carbon impact of 1.2 to 1.6 petagrams (1.2 x 10(15) to 1.6 x 10(15) grams). Amazon forests therefore appear vulnerable to increasing moisture stress, with the potential for large carbon losses to exert feedback on climate change.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Phillips, Oliver L -- Aragao, Luiz E O C -- Lewis, Simon L -- Fisher, Joshua B -- Lloyd, Jon -- Lopez-Gonzalez, Gabriela -- Malhi, Yadvinder -- Monteagudo, Abel -- Peacock, Julie -- Quesada, Carlos A -- van der Heijden, Geertje -- Almeida, Samuel -- Amaral, Ieda -- Arroyo, Luzmila -- Aymard, Gerardo -- Baker, Tim R -- Banki, Olaf -- Blanc, Lilian -- Bonal, Damien -- Brando, Paulo -- Chave, Jerome -- de Oliveira, Atila Cristina Alves -- Cardozo, Nallaret Davila -- Czimczik, Claudia I -- Feldpausch, Ted R -- Freitas, Maria Aparecida -- Gloor, Emanuel -- Higuchi, Niro -- Jimenez, Eliana -- Lloyd, Gareth -- Meir, Patrick -- Mendoza, Casimiro -- Morel, Alexandra -- Neill, David A -- Nepstad, Daniel -- Patino, Sandra -- Penuela, Maria Cristina -- Prieto, Adriana -- Ramirez, Fredy -- Schwarz, Michael -- Silva, Javier -- Silveira, Marcos -- Thomas, Anne Sota -- Steege, Hans Ter -- Stropp, Juliana -- Vasquez, Rodolfo -- Zelazowski, Przemyslaw -- Alvarez Davila, Esteban -- Andelman, Sandy -- Andrade, Ana -- Chao, Kuo-Jung -- Erwin, Terry -- Di Fiore, Anthony -- Honorio C, Euridice -- Keeling, Helen -- Killeen, Tim J -- Laurance, William F -- Pena Cruz, Antonio -- Pitman, Nigel C A -- Nunez Vargas, Percy -- Ramirez-Angulo, Hirma -- Rudas, Agustin -- Salamao, Rafael -- Silva, Natalino -- Terborgh, John -- Torres-Lezama, Armando -- New York, N.Y. -- Science. 2009 Mar 6;323(5919):1344-7. doi: 10.1126/science.1164033.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Ecology and Global Change, School of Geography, University of Leeds, Leeds LS2 9JT, UK. o.phillips@leeds.ac.uk〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19265020" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Boersma, P Dee -- Vargas, Hernan -- Merlen, Godfrey -- New York, N.Y. -- Science. 2005 May 13;308(5724):925.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/15890846" target="_blank"〉PubMed〈/a〉

Description: Viruses influence ecosystems by modulating microbial population size, diversity, metabolic outputs, and gene flow. Here, we use quantitative double-stranded DNA (dsDNA) viral-fraction metagenomes (viromes) and whole viral community morphological data sets from 43 Tara Oceans expedition samples to assess viral community patterns and structure in the upper ocean. Protein cluster cataloging defined pelagic upper-ocean viral community pan and core gene sets and suggested that this sequence space is well-sampled. Analyses of viral protein clusters, populations, and morphology revealed biogeographic patterns whereby viral communities were passively transported on oceanic currents and locally structured by environmental conditions that affect host community structure. Together, these investigations establish a global ocean dsDNA viromic data set with analyses supporting the seed-bank hypothesis to explain how oceanic viral communities maintain high local diversity.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Brum, Jennifer R -- Ignacio-Espinoza, J Cesar -- Roux, Simon -- Doulcier, Guilhem -- Acinas, Silvia G -- Alberti, Adriana -- Chaffron, Samuel -- Cruaud, Corinne -- de Vargas, Colomban -- Gasol, Josep M -- Gorsky, Gabriel -- Gregory, Ann C -- Guidi, Lionel -- Hingamp, Pascal -- Iudicone, Daniele -- Not, Fabrice -- Ogata, Hiroyuki -- Pesant, Stephane -- Poulos, Bonnie T -- Schwenck, Sarah M -- Speich, Sabrina -- Dimier, Celine -- Kandels-Lewis, Stefanie -- Picheral, Marc -- Searson, Sarah -- Tara Oceans Coordinators -- Bork, Peer -- Bowler, Chris -- Sunagawa, Shinichi -- Wincker, Patrick -- Karsenti, Eric -- Sullivan, Matthew B -- New York, N.Y. -- Science. 2015 May 22;348(6237):1261498. doi: 10.1126/science.1261498.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA. ; Department of Molecular and Cellular Biology, University of Arizona, Tucson, AZ 85721, USA. ; Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA. Environmental and Evolutionary Genomics Section, Institut de Biologie de l'Ecole Normale Superieure (IBENS), CNRS, UMR8197, INSERM U1024, 75230 Paris, France. ; Department of Marine Biology and Oceanography, Institute of Marine Sciences (ICM)-CSIC, Pg. Maritim de la Barceloneta 37-49, Barcelona, E08003, Spain. ; Genoscope, Commissariat a l'Energie Atomique (CEA)-Institut de Genomique, 2 rue Gaston Cremieux, 91057 Evry, France. ; Department of Microbiology and Immunology, Rega Institute, KU Leuven, Herestraat 49, 3000 Leuven, Belgium. Center for the Biology of Disease, VIB KU Leuven, Herestraat 49, 3000 Leuven, Belgium. Department of Applied Biological Sciences, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium. ; CNRS, UMR 7144, Station Biologique de Roscoff, Place Georges Teissier, 29680 Roscoff, France. Sorbonne Universites, Universite Pierre et Marie Curie, Universite Paris 06, and UMR 7144, Station Biologique de Roscoff, Place Georges Teissier, 29680 Roscoff, France. ; CNRS, UMR 7093, Laboratoire d'oceanographie de Villefranche (LOV), Observatoire Oceanologique, 06230 Villefranche-sur-mer, France. Sorbonne Universites, Uiversite Pierre et Marie Curie, Universite Paris 06, UMR 7093, Laboratoire d'oceanographie de Villefranche (LOV), Observatoire Oceanologique, 06230 Villefranche-sur-mer, France. ; Soil, Water, and Environmental Science, University of Arizona, Tucson, AZ 85721, USA. ; Aix Marseille Universite, CNRS IGS UMR 7256, 13288 Marseille, France. ; Stazione Zoologica Anton Dohrn, Villa Comunale, 80121 Naples, Italy. ; Institute for Chemical Research, Kyoto University, Gokasho, Uji, Kyoto 611-0001, Japan. ; PANGAEA, Data Publisher for Earth and Environmental Science, University of Bremen, 28359 Bremen, Germany. MARUM, Center for Marine Environmental Sciences, University of Bremen, 28359 Bremen, Germany. ; Laboratoire de Physique des Oceans, Institut Universitaire Europeen de la Mer, Universite de Bretagne Occidentale (UBO-IUEM), Place Copernic, 29820 Plouzane, France. ; CNRS, UMR 7144, Station Biologique de Roscoff, Place Georges Teissier, 29680 Roscoff, France. Sorbonne Universites, Universite Pierre et Marie Curie, Universite Paris 06, and UMR 7144, Station Biologique de Roscoff, Place Georges Teissier, 29680 Roscoff, France. Institut de Biologie de l'Ecole Normale Superieure (IBENS), and INSERM U1024, and CNRS UMR 8197, Paris, 75005, France. ; Structural and Computational Biology, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany. Directors' Research, European Molecular Biology Laboratory Meyerhofstrasse 1, 69117 Heidelberg, Germany. ; Structural and Computational Biology, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany. Max-Delbruck-Centre for Molecular Medicine, 13092 Berlin, Germany. ; Institut de Biologie de l'Ecole Normale Superieure (IBENS), and INSERM U1024, and CNRS UMR 8197, Paris, 75005, France. ; Structural and Computational Biology, European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany. ; Genoscope, Commissariat a l'Energie Atomique (CEA)-Institut de Genomique, 2 rue Gaston Cremieux, 91057 Evry, France. CNRS, UMR 8030, CP5706, 91057 Evry, France. Universite d'Evry, UMR 8030, CP5706, 91057 Evry, France. ; Institut de Biologie de l'Ecole Normale Superieure (IBENS), and INSERM U1024, and CNRS UMR 8197, Paris, 75005, France. Directors' Research, European Molecular Biology Laboratory Meyerhofstrasse 1, 69117 Heidelberg, Germany. mbsulli@gmail.com karsenti@embl.de. ; Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA. Department of Molecular and Cellular Biology, University of Arizona, Tucson, AZ 85721, USA. Soil, Water, and Environmental Science, University of Arizona, Tucson, AZ 85721, USA. mbsulli@gmail.com karsenti@embl.de.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25999515" target="_blank"〉PubMed〈/a〉

Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Naeem, S -- Ingram, J C -- Varga, A -- Agardy, T -- Barten, P -- Bennett, G -- Bloomgarden, E -- Bremer, L L -- Burkill, P -- Cattau, M -- Ching, C -- Colby, M -- Cook, D C -- Costanza, R -- DeClerck, F -- Freund, C -- Gartner, T -- Goldman-Benner, R -- Gunderson, J -- Jarrett, D -- Kinzig, A P -- Kiss, A -- Koontz, A -- Kumar, P -- Lasky, J R -- Masozera, M -- Meyers, D -- Milano, F -- Naughton-Treves, L -- Nichols, E -- Olander, L -- Olmsted, P -- Perge, E -- Perrings, C -- Polasky, S -- Potent, J -- Prager, C -- Quetier, F -- Redford, K -- Saterson, K -- Thoumi, G -- Vargas, M T -- Vickerman, S -- Weisser, W -- Wilkie, D -- Wunder, S -- New York, N.Y. -- Science. 2015 Mar 13;347(6227):1206-7. doi: 10.1126/science.aaa1403. Epub 2015 Mar 12.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25766222" target="_blank"〉PubMed〈/a〉