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5 results on '"Ivaylo Kostadinov"'

1. iTaxoTools 0.1: Kickstarting a specimen-based software toolkit for taxonomists

Author

Miguel Vences, Mark D. Scherz, Jacques Ducasse, Sangeeta Kumari, Vladimir Kharchev, Aurélien Miralles, Sophie Brouillet, Ivaylo Kostadinov, Alexander E. Fedosov, Stefanos Patmanidis, Susanne S. Renner, Nicolas Puillandre, Technische Universität Braunschweig = Technical University of Braunschweig [Braunschweig], Institut de Systématique, Evolution, Biodiversité (ISYEB ), Muséum national d'Histoire naturelle (MNHN)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences [Moscow] (RAS), National Technical University of Athens [Athens] (NTUA), and Universität Potsdam

Subjects
0106 biological sciences, Web server, Computer science, PTP, GMYC, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, computer.software_genre, 010603 evolutionary biology, 01 natural sciences, Article, 03 medical and health sciences, ddc:0, Software, molecular diagnosis, ddc:00, Veröffentlichung der TU Braunschweig, DELINEATE, integrative taxonomy, Taxonomy, ddc:5, 030304 developmental biology, Graphical user interface, computer.programming_language, Pharmacology, 0303 health sciences, business.industry, Programming language, Suite, Window (computing), Biodiversity, computer.file_format, Python (programming language), Pipeline (software), Mac OS, TR2, ddc:57, species delimitation, ABGD, ddc:005, Executable, Publikationsfonds der TU Braunschweig, Limes, business, computer
Abstract

While powerful and user-friendly software suites exist for phylogenetics, and an impressive cybertaxomic infrastructure of online species databases has been set up in the past two decades, software targeted explicitly at facilitating alpha-taxonomic work, i.e., delimiting and diagnosing species, is still in its infancy. Here we present a project to develop a bioinformatic toolkit for taxonomy, based on open-source Python code, including tools focusing on species delimitation and diagnosis and centered around specimen identifiers. At the core of iTaxoTools is user-friendliness, with numerous autocorrect options for data files and with intuitive graphical user interfaces. Assembled standalone executables for all tools or a suite of tools with a launcher window will be distributed for Windows, Linux, and Mac OS systems, and in the future also implemented on a web server. The initial version (iTaxoTools 0.1) distributed with this paper (https://github.com/iTaxoTools/iTaxoTools-Executables) contains graphical user interface (GUI) versions of six species delimitation programs (ABGD, ASAP, DELINEATE, GMYC, PTP, tr2) and a simple threshold-clustering delimitation tool. There are also new Python implementations of existing algorithms, including tools to compute pairwise DNA distances, ultrametric time trees based on non-parametric rate smoothing, species-diagnostic nucleotide positions, and standard morphometric analyses. Other utilities convert among different formats of molecular sequences, geographical coordinates, and units; merge, split and prune sequence files, tables and species partition files; and perform simple statistical tests. As a future perspective, we envisage iTaxoTools to become part of a bioinformatic pipeline for next-generation taxonomy that accelerates the inventory of life while maintaining high-quality species hypotheses. The open source code and binaries of all tools are available from Github (https://github.com/iTaxoTools) and further information from the website (http://itaxotools.org).

Published
2021
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2. Repositories for Taxonomic Data: Where We Are and What is Missing

Author

Jasmin Renz, Tanja Weibulat, Tim Wilhelm Nattkemper, Mark D. Scherz, Susanne S. Renner, Christian Printzen, Miguel Vences, Frank Oliver Glöckner, Michael Bonkowski, Frank Glaw, Ivaylo Kostadinov, Birgit Gemeinholzer, Janine Felden, Thomas Wilke, Teddy Bruy, Dominik Begerow, Aurélien Miralles, Nataliya Rybalka, Marc Stadler, Bank Beszteri, Oliver Hawlitschek, Katherine A. Wolcott, Institut de Systématique, Evolution, Biodiversité (ISYEB ), Muséum national d'Histoire naturelle (MNHN)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM), Smithsonian Institution, Zoologische Staatssammlung München, Universität Konstanz, Ruhr University Bochum (RUB), University of Duisburg-Essen, University of Cologne, University of Bremen, Alfred Wegener Institute for Polar and Marine Research (AWI), Justus-Liebig-Universität Gießen (JLU), Technische Universität Braunschweig = Technical University of Braunschweig [Braunschweig], Universität Hamburg (UHH), Fachbereich Geowissenschaften [Bremen], Universität Bremen, Universität Bielefeld = Bielefeld University, Senckenberg Research Institutes and Natural History Museums, Georg-August-University [Göttingen], Helmholtz Centre for Infection Research (HZI), German Centre for Infection Research (DZIF), and Justus Liebig University

Subjects
0106 biological sciences, 0301 basic medicine, taxonomic data, Databases, Factual, [SDV]Life Sciences [q-bio], Big data, cyberspecimen, Biology, 010603 evolutionary biology, 01 natural sciences, 03 medical and health sciences, taxonomy, Documentation, Taxonomy (general), ddc:570, Genetics, Animals, Point of View, Ecology, Evolution, Behavior and Systematics, Digitization, new species, business.industry, specimen identifier, AcademicSubjects/SCI01130, Classification, Data science, omics, Identifier, Metadata, 030104 developmental biology, Taxon, Workflow, business, Biologie, repositories
Abstract

Natural history collections are leading successful large-scale projects of specimen digitization (images, metadata, DNA barcodes), thereby transforming taxonomy into a big data science. Yet, little effort has been directed towards safeguarding and subsequently mobilizing the considerable amount of original data generated during the process of naming 15,000–20,000 species every year. From the perspective of alpha-taxonomists, we provide a review of the properties and diversity of taxonomic data, assess their volume and use, and establish criteria for optimizing data repositories. We surveyed 4113 alpha-taxonomic studies in representative journals for 2002, 2010, and 2018, and found an increasing yet comparatively limited use of molecular data in species diagnosis and description. In 2018, of the 2661 papers published in specialized taxonomic journals, molecular data were widely used in mycology (94%), regularly in vertebrates (53%), but rarely in botany (15%) and entomology (10%). Images play an important role in taxonomic research on all taxa, with photographs used in >80% and drawings in 58% of the surveyed papers. The use of omics (high-throughput) approaches or 3D documentation is still rare. Improved archiving strategies for metabarcoding consensus reads, genome and transcriptome assemblies, and chemical and metabolomic data could help to mobilize the wealth of high-throughput data for alpha-taxonomy. Because long-term—ideally perpetual—data storage is of particular importance for taxonomy, energy footprint reduction via less storage-demanding formats is a priority if their information content suffices for the purpose of taxonomic studies. Whereas taxonomic assignments are quasifacts for most biological disciplines, they remain hypotheses pertaining to evolutionary relatedness of individuals for alpha-taxonomy. For this reason, an improved reuse of taxonomic data, including machine-learning-based species identification and delimitation pipelines, requires a cyberspecimen approach—linking data via unique specimen identifiers, and thereby making them findable, accessible, interoperable, and reusable for taxonomic research. This poses both qualitative challenges to adapt the existing infrastructure of data centers to a specimen-centered concept and quantitative challenges to host and connect an estimated \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$ \le $\end{document}2 million images produced per year by alpha-taxonomic studies, plus many millions of images from digitization campaigns. Of the 30,000–40,000 taxonomists globally, many are thought to be nonprofessionals, and capturing the data for online storage and reuse therefore requires low-complexity submission workflows and cost-free repository use. Expert taxonomists are the main stakeholders able to identify and formalize the needs of the discipline; their expertise is needed to implement the envisioned virtual collections of cyberspecimens. [Big data; cyberspecimen; new species; omics; repositories; specimen identifier; taxonomy; taxonomic data.]

Published
2020
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3. An open-source GIS-enabled lookup service for Nagoya Protocol party information

Author

Hendrikje Seifert, M. Weber, Frank Oliver Glöckner, and Ivaylo Kostadinov

Subjects
Service (systems architecture), Health Information Exchange, Computer science, Data management, International Cooperation, Interoperability, Cloud computing, General Biochemistry, Genetics and Molecular Biology, Legal advice, Resource Allocation, World Wide Web, 03 medical and health sciences, Databases, Genetic, Data Mining, Humans, Nagoya Protocol, License, Data Curation, 030304 developmental biology, 0303 health sciences, business.industry, 030302 biochemistry & molecular biology, Open data, Database Tool, General Agricultural and Biological Sciences, business, Information Systems, Biotechnology
Abstract

The Nagoya Protocol on Access and Benefit Sharing is a transparent legal framework, which governs the access to genetic resources and the fair and equitable sharing of benefits arising from their utilization. Complying with the Nagoya regulations ensures legal use and re-use of data from genetic resources. Providing detailed provenance information and clear re-usage conditions plays a key role in ensuring the re-usability of research data according to the FAIR (findable, accessible, interoperable and re-usable) Guiding Principles for scientific data management and stewardship. Even with the framework provided by the ABS (access and benefit sharing) Clearing House and the support of the National Focal Points, establishing a direct link between the research data from genetic resources and the relevant Nagoya information remains a challenge. This is particularly true for re-using publicly available data. The Nagoya Lookup Service was developed for stakeholders in biological sciences with the aim at facilitating the legal and FAIR data management, specifically for data publication and re-use. The service provides up-to-date information on the Nagoya party status for a geolocation provided by GPS coordinates, directing the user to the relevant local authorities for further information. It integrates open data from the ABS Clearing House, Marine Regions, GeoNames and Wikidata. The service is accessible through a REST API and a user-friendly web form. Stakeholders include data librarians, data brokers, scientists and data archivists who may use this service before, during and after data acquisition or publication to check whether legal documents need to be prepared, considered or verified. The service allows researchers to estimate whether genetic data they plan to produce or re-use might fall under Nagoya regulations or not, within the limits of the technology and without constituting legal advice. It is implemented using portable Docker containers and can easily be deployed locally or on a cloud infrastructure. The source code for building the service is available under an open-source license on GitHub, with a functional image on Docker Hub and can be used by anyone free of charge.

Published
2020

4. Data storage and data re-use in taxonomy-the need for improved storage and accessibility of heterogeneous data

Author

Ivaylo Kostadinov, Thomas Wilke, Tanja Weibulat, Jasmin Renz, Birgit Gemeinholzer, Janine Felden, Tim Wilhelm Nattkemper, Bank Beszteri, Teddy Bruy, Christian Printzen, Aurélien Miralles, Susanne S. Renner, Miguel Vences, Tanja M. Schuster, Nataliya Rybalka, Justus-Liebig-Universität Gießen (JLU), Technische Universität Braunschweig = Technical University of Braunschweig [Braunschweig], University of Duisburg-Essen, Institut de Systématique, Evolution, Biodiversité (ISYEB ), Muséum national d'Histoire naturelle (MNHN)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM), University of Bremen, Universität Bielefeld = Bielefeld University, German Centre for Marine Biodiversity Research (DZMB), Senckenberg am Meer, and Georg-August-University [Göttingen]

Subjects
0106 biological sciences, 0301 basic medicine, Biological Data, Standardization, Machine learning tools, Biology, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, 010603 evolutionary biology, 01 natural sciences, Data type, Article, 03 medical and health sciences, Accelerated species description, Veröffentlichung der TU Braunschweig, ddc:576, Ecology, Evolution, Behavior and Systematics, Taxonomy, Pace, ddc:5, Taxonomy -- Accelerated species description -- Machine learning tools -- Image recognition -- Metabarcoding -- Data repositories -- German Federation for Biological Data, Biological data, business.industry, Automated species identification, German Federation for, Automation, Data science, [SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM], ddc:57, 030104 developmental biology, Data repositories, Computer data storage, Image, Metabarcoding, Taxonomy (biology), recognition, business, Biologie
Abstract

The ability to rapidly generate and share molecular, visual, and acoustic data, and to compare them with existing information, and thereby to detect and name biological entities is fundamentally changing our understanding of evolutionary relationships among organisms and is also impacting taxonomy. Harnessing taxonomic data for rapid, automated species identification by machine learning tools or DNA metabarcoding techniques has great potential but will require their review, accessible storage, comprehensive comparison, and integration with prior knowledge and information. Currently, data production, management, and sharing in taxonomic studies are not keeping pace with these needs. Indeed, a survey of recent taxonomic publications provides evidence that few species descriptions in zoology and botany incorporate DNA sequence data. The use of modern high-throughput (-omics) data is so far the exception in alpha-taxonomy, although they are easily stored in GenBank and similar databases. By contrast, for the more routinely used image data, the problem is that they are rarely made available in openly accessible repositories. Improved sharing and re-using of both types of data requires institutions that maintain long-term data storage and capacity with workable, user-friendly but highly automated pipelines. Top priority should be given to standardization and pipeline development for the easy submission and storage of machine-readable data (e.g., images, audio files, videos, tables of measurements). The taxonomic community in Germany and the German Federation for Biological Data are researching options for a higher level of automation, improved linking among data submission and storage platforms, and for making existing taxonomic information more readily accessible.

Published
2020
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5. The Ocean Sampling Day Consortium

Author

Oleksandra Bobrova, Petra ten Hoopen, Rodrigo Costa, Rania Siam, Rehab Z. Abdallah, Jorge A. Herrera Silveira, Catarina Magalhães, Nedime Serakinci, Marie E. DeLorenzo, Riccardo Rosselli, Paul Malthouse, Lise Øvreås, Eyjólfur Reynisson, Susan Gebbels, Francesca Malfatti, Frank Oliver Glöckner, Federico M. Lauro, Hans Erik Karlsen, David Wallom, Christian Jeanthon, Mark J. Costello, Fergal O'Gara, Nadezhda Todorova, Ana C. Costa, Monia El Bour, Paul D. van Ruth, Ivaylo Kostadinov, Martin Ostrowski, Jed A. Fuhrman, Viggo Marteinsson, Thierry Cariou, Hiroyuki Ogata, Maria Luiza Pedrotti, Emilie Villar, Federico Baltar, Sandi Orlić, Valentina Turk, Katja Lehmann, Dawn Field, Renzo Kottmann, Florence Jude-Lemeilleur, Daniel Vaulot, Alessandro Vezzi, Neil M Davies, Mahrous M. Kandil, Véronique Berteaux-Lecellier, Christopher D. Sinigalliano, Timothy W. Davis, Peter N. Golyshin, Stéphane L'Haridon, Jonathan A. Martinez, Sandra Ramos, Pascal Conan, Ma. Leopoldina Aguirre-Macedo, Antonio Fernandez-Guerra, Soumya Essayeh, Clara Loureiro, Edvardsen Bente, Noureddine Boukhatem, Rachelle M. Jensen, Sophie Pitois, Bouchra Chaouni, Kate Munnik, Anke Kremp, Stephane Pesant, Roberto Danovaro, Cecilia Alonso, Said Barrijal, Jodie van de Kamp, Michail M. Yakimov, Nicole J. Poulton, Zackary I. Johnson, Adriana Zingone, Bernardo Duarte, Ilkay Salihoglu, Paraskevi N. Polymenakou, Jack A. Gilbert, Melody S. Clark, Ian Salter, Hassan Ghazal, Julie LaRoche, J. Mortelmans, Ranjith Edirisinghe, Grazia Marina Quero, Dion Matthew Frederick Frampton, Isabel Caçador, Georgios Tsiamis, Declan C. Schroeder, Jamie Hinks, Ana Martins, Noga Stambler, Rachel Collin, João Canning-Clode, Tinkara Tinta, Mesude Bicak, Scott Jones, Valentina Amaral, Matthias S. Ullrich, Gunnar Gerdts, Klaas Deneudt, Michael Steinke, Mohamed Bennani, Rafael Santana, Fabio De Pascale, Jennifer Tolman, Juan Iriberri, Levente Bodrossy, Abderrahim Bouali, Antonella Penna, Bruno Cataletto, Josep M. Gasol, Florencia Biancalana, Maribeth L. Gidley, Stephen A. Jackson, Mahmut Cerkez Ergoren, Carolin R. Löscher, Antje Wichels, Ventzislav Karamfilov, R. Eric Collins, Sara Ettamimi, Riccardo Schiavon, Mohammed Timinouni, Christina Bienhold, Julia Schnetzer, Marc E. Frischer, Wayne J. Fuller, Simon Claus, Ibon Cancio, Guy Cochrane, Patrick Martin, Gian Marco Luna, Snejana Moncheva, Linda A. Amaral-Zettler, Eva C. Sonnenschein, Paul Anders Fronth Nyhus, Shiao Y. Wang, Antonina Dos Santos, Eyal Rahav, Eileen Bresnan, Anna Kopf, Barker Katherine, Michèle Barbier, Naiara Rodríguez-Ezpeleta, Kemal Can Bizsel, Tim Ingleton, Patricia Wecker, Julia A. Busch, Kelly D. Goodwin, El Houcine Zaid, Rajaa Chahboune, Takashi Yoshida, Fatima El Otmani, Marianna Mea, Nina Dzhembekova, Anne-Lise Ducluzeau, Christopher P. Meyer, Georgios Kotoulas, Max Planck Institute for Marine Microbiology, Max-Planck-Gesellschaft, Jacobs University [Bremen], University of Oxford, Centre for Ecology & Hydrology, Oxfordshire UK, Adaptation et diversité en milieu marin (AD2M), Station biologique de Roscoff [Roscoff] (SBR), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Israel Oceanographic and Limnological Research (IOLR), Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI), Hellenic Centre for Marine Research (HCMR), American University in Cairo, Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), University College Cork (UCC), Curtin University [Perth], Planning and Transport Research Centre (PATREC), Institut Ruder Boskovic, Institut Ruđer Bošković (IRB), University of Essex, Carl Von Ossietzky Universität Oldenburg = Carl von Ossietzky University of Oldenburg (OFFIS), Universidade de Lisboa = University of Lisbon (ULISBOA), Smithonian Environmental Research Center, Research Center, Odessa National I.I.Mechnikov University, Matis Ltd, Universidade dos Açores, Istituto di Science Marine (ISMAR ), National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), Helmholtz Centre for Ocean Research [Kiel] (GEOMAR), Finnish Environment Institute (SYKE), National Oceanic and Atmospheric Administration (NOAA), University of Bergen (UiB), Dalhousie University [Halifax], Università di Urbino, Skidaway Institute of Oceanography, Smithsonian Institution, Interdisciplinary Centre of Marine and Environmental Research [Matosinhos, Portugal] (CIIMAR), Universidade do Porto = University of Porto, Environnements et Paléoenvironnements OCéaniques (EPOC), Observatoire aquitain des sciences de l'univers (OASU), Université Sciences et Technologies - Bordeaux 1 (UB)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Sciences et Technologies - Bordeaux 1 (UB)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Centro de Investigacion y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV), Mississippi State University [Mississippi], Bigelow Laboratory for Ocean Sciences, Smithsonian Marine Station, Smithsonian Tropical Research Institute, University of Southern California (USC), Laboratoire d'Océanographie Microbienne (LOMIC), Observatoire océanologique de Banyuls (OOB), Universidad de la República [Montevideo] (UDELAR), Bar-Ilan University [Israël], The Interuniversity Institute for marine Science in Eilat, IAMC-CNR, Istituto per l'Ambiente Marino Costiero &ndash, University of Otago [Dunedin, Nouvelle-Zélande], Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Macquarie University, South Australian Research and Development Institute (SARDI), South Australian Research and Development Institute, Flanders Marine Institute, VLIZ, Centre for Environment, Fisheries and Aquaculture Science [Weymouth] (CEFAS), University of Algarve [Portugal], Marine Biological Association of the UK, Department of Chemistry, Alexandria University [Alexandrie], Argentine Institute of Oceanography, Laboratoire d'océanographie de Villefranche (LOV), Observatoire océanologique de Villefranche-sur-mer (OOVM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Kyoto University, University of Tasmania [Hobart, Australia] (UTAS), Waters, wetlands & coasts Sydney, Lwande technologies Cape Town, AZTI (AZTI), AZTI, Centre de recherches insulaires et observatoire de l'environnement (CRIOBE), Université de Perpignan Via Domitia (UPVD)-École Pratique des Hautes Études (EPHE), University of the Basque Country/Euskal Herriko Unibertsitatea (UPV/EHU), Université Mohammed Premier [Oujda], Université Mohammed V de Rabat [Agdal] (UM5), Université Sidi Mohamed Ben Abdellah (USMBA), Université Abdelmalek Essaâdi (UAE), Institut Pasteur du Maroc, Réseau International des Instituts Pasteur (RIIP), Faculty of Sciences, Rabat, Morocco., Bulgarian Academy of Sciences (BAS), European Bioinformatics Institute [Hinxton] (EMBL-EBI), EMBL Heidelberg, Université de Brest (UBO), Dokuz Eylül Üniversitesi = Dokuz Eylül University [Izmir] (DEÜ), Università degli Studi di Padova = University of Padua (Unipd), Singapore centre for environmental life sciences engineering, Nanyang Technological University [Singapour], Indigo V Expeditions, Newcastle University [Newcastle], Instituto Português de Investigação do Mar e da Atmosfera (IPMA), Information génomique et structurale (IGS), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Universität Bremen, Istituto Nazionale di Geofisica e di Oceanografia Sperimentale (OGS), Rajarata University of Sri-Lanka (RUSL), University of Southern Mississippi (USM), Mediterranean Science Commission, National institute of biology Fornace, Near East University, Marine Scotland Marine Laboratory, Kind of Blue Project ABS, University of Oslo (UiO), Marine biology research station, Bangor University, Institute of Marine Sciences / Institut de Ciències del Mar [Barcelona] (ICM), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Fridtjof Nansen Institute of oceanology, Duke University [Durham], Miami University, Miami University [Ohio] (MU), Stazione Zoologica Anton Dohrn (SZN), Polytechnic University of Marche, University of Patras, British Antarctic Survey (BAS), Natural Environment Research Council (NERC), INSTIM, University of Alaska [Fairbanks] (UAF), University of Hawaii, University of Auckland [Auckland], Marine Biological Laboratory (MBL), University of Chicago, Brown University, Zhejiang University, Argonne National Laboratory [Lemont] (ANL), Department of Mathematics [Berkeley], University of California [Berkeley] (UC Berkeley), University of California (UC)-University of California (UC), Repositório da Universidade de Lisboa, Kopf, A, Bicak, M, Kottmann, R, Schnetzer, J, Kostadinov, I, Lehmann, K, Fernandez-Guerra, A, Jeanthon, C, Rahav, E, Ullrich, M, Wichels, A, Gerdts, G, Polymenakou, P, Kotoulas, G, Siam, R, Abdallah, Rz, Sonnenschein, Ec, Cariou, T, O'Gara, F, Jackson, S, Orlic, S, Steinke, M, Busch, J, Duarte, B, Cacador, I, Canning-Clode, J, Bobrova, O, Marteinsson, V, Reynisson, E, Loureiro, Cm, Luna, Gm, Quero, Gm, Loscher, Cr, Kremp, A, Delorenzo, Me, Ovreas, L, Tolman, J, Laroche, J, Penna, A, Frischer, M, Davis, T, Katherine, B, Meyer, Cp, Ramos, S, Magalhaes, C, Jude-Lemeilleur, F, Aguirre-Macedo, Ml, Wang, S, Poulton, N, Jones, S, Collin, R, Fuhrman, Ja, Conan, P, Alonso, C, Stambler, N, Goodwin, K, Yakimov, Mm, Baltar, F, Bodrossy, L, Van De Kamp, J, Frampton, Dmf, Ostrowski, M, Van Ruth, P, Malthouse, P, Claus, S, Deneudt, K, Mortelmans, J, Pitois, S, Wallom, D, Salter, I, Costa, R, Schroeder, Dc, Kandil, Mm, Amaral, V, Biancalana, F, Santana, R, Pedrotti, Ml, Yoshida, T, Ogata, H, Ingleton, T, Munnik, K, Rodriguez-Ezpeleta, N, Berteaux-Lecellier, V, Wecker, P, Cancio, I, Vaulot, D, Bienhold, C, Ghazal, H, Chaouni, B, Essayeh, S, Ettamimi, S, Zaid, E, Boukhatem, N, Bouali, A, Chahboune, R, Barrijal, S, Timinouni, M, El Otmani, F, Bennani, M, Mea, M, Todorova, N, Karamfilov, V, ten Hoopen, P, Cochrane, G, L'Haridon, S, Bizsel, Kc, Vezzi, A, Lauro, Fm, Martin, P, Jensen, Rm, Hinks, J, Gebbels, S, Rosselli, R, De Pascale, F, Schiavon, R, dos Santos, A, Villar, E, Pesant, S, Cataletto, B, Malfatti, F, Edirisinghe, R, Silveira, Jah, Barbier, M, Turk, V, Tinta, T, Fuller, Wj, Salihoglu, I, Serakinci, N, Ergoren, Mc, Bresnan, E, Iriberri, J, Nyhus, Paf, Bente, E, Karlsen, He, Golyshin, Pn, Gasol, Jm, Moncheva, S, Dzhembekova, N, Johnson, Z, Sinigalliano, Cd, Gidley, Ml, Zingone, A, Danovaro, R, Tsiamis, G, Clark, M, Costa, Ac, El Bour, M, Martins, Am, Collins, Re, Ducluzeau, Al, Martinez, J, Costello, Mj, Amaral-Zettler, La, Gilbert, Ja, Davies, N, Field, D, Glockner, Fo, European Commission, University of Oxford [Oxford], Israel Oceanographic and Limnological Research - IOLR (ISRAEL), Danmarks Tekniske Universitet (DTU), Carl Von Ossietzky Universität Oldenburg, Universidade de Lisboa (ULISBOA), Consiglio Nazionale delle Ricerche (CNR), Universidade do Porto, UMR 5805 Environnements et Paléoenvironnements Océaniques et Continentaux (EPOC), Université Sciences et Technologies - Bordeaux 1-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Sciences et Technologies - Bordeaux 1-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE), Universidad de la República [Montevideo] (UCUR), Kyoto University [Kyoto], Université de Perpignan Via Domitia (UPVD)-École pratique des hautes études (EPHE), University of Mohammed V, Sidi Mohammed Ben Abdellah University, Universita degli Studi di Padova, Rajarata University of Sri-Lanka, University of Patras [Patras], University of California [Berkeley], and University of California-University of California

Subjects
0106 biological sciences, Biodiversity, Marine life, 01 natural sciences, Bacteria, Genomics, Health Index, Marine, Metagenomics, Micro B3, Microorganism, OSD, Ocean sampling day, Standards, 11. Sustainability, Data and Information, Ocean Sampling Day, biodiversity, genomics, health index, bacteria, microorganism, metagenomics, marine, standards, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, 0303 health sciences, Ecology, Environmental resource management, Geology, Computer Science Applications, Interdisciplinary Natural Sciences, Microbial biodiversity, [SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology, Ocean sampling day, OSD, Biodiversity, Genomics, Health Index, Bacteria, Microorganism, Metagenomics,Marine, Micro B3, Standards, Oceans and Seas, Microorganisms, Marine Biology, Health Informatics, [SDV.BID]Life Sciences [q-bio]/Biodiversity, Biology, Ecology and Environment, Metagenomic, 03 medical and health sciences, Health index, Medisinske Fag: 700 [VDP], SDG 14 - Life Below Water, 14. Life underwater, 030304 developmental biology, business.industry, 010604 marine biology & hydrobiology, Ocean sampling, 13. Climate action, Commentary, Genomic, Database Management Systems, Global Ocean, business
Abstract

Kopf, Anna ... et. al.-- 5 pages, 1 figure.-- This manuscript is NOAA-GLERL contribution number 1763, Ocean Sampling Day was initiated by the EU-funded Micro B3 (Marine Microbial Biodiversity, Bioinformatics, Biotechnology) project to obtain a snapshot of the marine microbial biodiversity and function of the world’s oceans. It is a simultaneous global mega-sequencing campaign aiming to generate the largest standardized microbial data set in a single day. This will be achievable only through the coordinated efforts of an Ocean Sampling Day Consortium, supportive partnerships and networks between sites. This commentary outlines the establishment, function and aims of the Consortium and describes our vision for a sustainable study of marine microbial communities and their embedded functional traits, This work was supported by the Micro B3 project, which is funded from the European Union’s Seventh Framework Programme (FP7; Joint Call OCEAN.2011‐2: Marine microbial diversity – new insights into marine ecosystems functioning and its biotechnological potential) under the grant agreement no 287589

Published
2015
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