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1. Towards a multisensor station for automated biodiversity monitoring

Author

J.Wolfgang Wägele, Paul Bodesheim, Sarah J. Bourlat, Joachim Denzler, Michael Diepenbroek, Vera Fonseca, Karl-Heinz Frommolt, Matthias F. Geiger, Birgit Gemeinholzer, Frank Oliver Glöckner, Timm Haucke, Ameli Kirse, Alexander Kölpin, Ivaylo Kostadinov, Hjalmar S. Kühl, Frank Kurth, Mario Lasseck, Sascha Liedke, Florian Losch, Sandra Müller, Natalia Petrovskaya, Krzysztof Piotrowski, Bernd Radig, Christoph Scherber, Lukas Schoppmann, Jan Schulz, Volker Steinhage, Georg F. Tschan, Wolfgang Vautz, Domenico Velotto, Maximilian Weigend, and Stefan Wildermann

Subjects
Biodiversity monitoring, AMMOD, Bioacoustic monitoring, Visual monitoring, Computer vision, Metabarcoding, Ecology, QH540-549.5
Abstract

Rapid changes of the biosphere observed in recent years are caused by both small and large scale drivers, like shifts in temperature, transformations in land-use, or changes in the energy budget of systems. While the latter processes are easily quantifiable, documentation of the loss of biodiversity and community structure is more difficult. Changes in organismal abundance and diversity are barely documented. Censuses of species are usually fragmentary and inferred by often spatially, temporally and ecologically unsatisfactory simple species lists for individual study sites. Thus, detrimental global processes and their drivers often remain unrevealed. A major impediment to monitoring species diversity is the lack of human taxonomic expertise that is implicitly required for large-scale and fine-grained assessments. Another is the large amount of personnel and associated costs needed to cover large scales, or the inaccessibility of remote but nonetheless affected areas.To overcome these limitations we propose a network of Automated Multisensor stations for Monitoring of species Diversity (AMMODs) to pave the way for a new generation of biodiversity assessment centers. This network combines cutting-edge technologies with biodiversity informatics and expert systems that conserve expert knowledge. Each AMMOD station combines autonomous samplers for insects, pollen and spores, audio recorders for vocalizing animals, sensors for volatile organic compounds emitted by plants (pVOCs) and camera traps for mammals and small invertebrates. AMMODs are largely self-containing and have the ability to pre-process data (e.g. for noise filtering) prior to transmission to receiver stations for storage, integration and analyses. Installation on sites that are difficult to access require a sophisticated and challenging system design with optimum balance between power requirements, bandwidth for data transmission, required service, and operation under all environmental conditions for years. An important prerequisite for automated species identification are databases of DNA barcodes, animal sounds, for pVOCs, and images used as training data for automated species identification. AMMOD stations thus become a key component to advance the field of biodiversity monitoring for research and policy by delivering biodiversity data at an unprecedented spatial and temporal resolution.

Published
2022
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2. NFDI4BioDiversity - NFDI-Konsortium für Biodiversitäts-, Ökologische und Umweltdaten

Author

Judith Weber, Barbara Ebert, Michael Diepenbroek, Ivaylo Kostadinov, and Frank Oliver Glöckner

Subjects
NFDI, Nationale Forschungsdateninfrastruktur, Biodiversität, Research Data Commons, Community engagement, Technology
Abstract

NFDI4BioDiversity ist ein Konsortium innerhalb der Nationalen Forschungsdateninfrastruktur (NFDI) mit einem Schwerpunkt auf Services für die Biodiversitätsforschung und Ökologie. Unzählige Studien belegen den Rückgang der Biodiversität auf unserem Planeten. Drängende Fragen in diesem Zusammenhang sind unter anderem welche Auswirkungen der Rückgang der Biodiversität auf die betroffenen Ökosysteme hat und welche (anthropogenen) Einflüsse die Biodiversität reduzieren oder fördern. Um die komplexen Zusammenhänge zu verstehen und daraus Handlungsempfehlungen abzuleiten, werden vielfältige, qualitätsgesicherte und FAIRe[1] Daten benötigt. Diese umfassen das Vorkommen von Pflanzen, Tieren und Mikroorganismen, einschließlich ihrer genotypischen, phänotypischen und funktionalen Vielfalt, sowie deren Zusammenspiel in Populationen und Ökosystemen. In NFDI4BioDiversity haben sich 49 Partner aus Wissenschaft, Behörden und Bürgerwissenschaften zusammengeschlossen, um die Mobilisierung und Publikation vorhandener Daten voranzutreiben, effiziente Workflows zu entwickeln und Tools und Services zur Unterstützung von Analysen bereitzustellen. [1] FAIR: Findable, Accessible, Interoperable, Reusable, aus: Wilkinson, Mark D., et al. „The FAIR Guiding Principles for scientific data management and stewardship”, Scientific Data 3:160018 (March 2016), doi: 10.1038/sdata.2016.18

Published
2021
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3. Potential für ein starkes Netzwerk zwischen GFBio und FDM-Beratenden an Universitäten und Forschungsinstituten

Author

Tina Astor, Judith Weber, Ivaylo Kostadinov, Frank Oliver Glöckner, and Jens Nieschulze

Subjects
Biodiversitätsdaten, Umweltdaten, Ökologie, FDM-Services, Technology
Abstract

GFBio (German Federation for Biological Data) hat sich in den letzten sechs Jahren als die zentrale Anlaufstelle für WissenschaftlerInnen und Datenverantwortliche rund um alle Fragen des Forschungsdatenmanagements in der Biodiversitätsforschung etabliert. Zentrales Ziel von GFBio ist die Sensibilisierung der Fachcommunity für die Themen Forschungsdatenmanagement, Langzeitarchivierung und Publikation von Forschungsdaten. Eine bisher nur unzureichend gelöste Herausforderung ist jedoch die Adressierung der Forschenden vor Ort. Die direkte Interaktion mit den Forschenden am jeweiligen Campus wird dabei durch die FDM-Beratenden geleistet. Die Erfahrung hat gezeigt, dass hier bereits hervorragende Arbeit geleistet wird, jedoch für eine in die Tiefe gehende fachspezifische Beratung oft die Ressourcen fehlen. Das von GFBio propagierte “front-office/back-office” Modell mit einer engen Verknüpfung der Aktivitäten von GFBio und der lokalen FDM-Beratenden ist durch seine Arbeitsteiligkeit zu beiderseitigem Vorteil. Im Folgenden wird GFBio mit seinen Kernservices vorgestellt sowie Anknüpfungspunkte für die Zusammenarbeit mit lokalen FDM-Beratenden aufgezeigt.

Published
2021
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4. Ecogenomic perspectives on domains of unknown function: correlation-based exploration of marine metagenomes.

Author

Pier Luigi Buttigieg, Wolfgang Hankeln, Ivaylo Kostadinov, Renzo Kottmann, Pelin Yilmaz, Melissa Beth Duhaime, and Frank Oliver Glöckner

Subjects
Medicine, Science
Abstract

BackgroundThe proportion of conserved DNA sequences with no clear function is steadily growing in bioinformatics databases. Studies of sequence and structural homology have indicated that many uncharacterized protein domain sequences are variants of functionally described domains. If these variants promote an organism's ecological fitness, they are likely to be conserved in the genome of its progeny and the population at large. The genetic composition of microbial communities in their native ecosystems is accessible through metagenomics. We hypothesize the co-variation of protein domain sequences across metagenomes from similar ecosystems will provide insights into their potential roles and aid further investigation.Methodology/principal findingsWe calculated the correlation of Pfam protein domain sequences across the Global Ocean Sampling metagenome collection, employing conservative detection and correlation thresholds to limit results to well-supported hits and associations. We then examined intercorrelations between domains of unknown function (DUFs) and domains involved in known metabolic pathways using network visualization and cluster-detection tools. We used a cautious "guilty-by-association" approach, referencing knowledge-level resources to identify and discuss associations that offer insight into DUF function. We observed numerous DUFs associated to photobiologically active domains and prevalent in the Cyanobacteria. Other clusters included DUFs associated with DNA maintenance and repair, inorganic nutrient metabolism, and sodium-translocating transport domains. We also observed a number of clusters reflecting known metabolic associations and cases that predicted functional reclassification of DUFs.Conclusion/significanceCritically examining domain covariation across metagenomic datasets can grant new perspectives on the roles and associations of DUFs in an ecological setting. Targeted attempts at DUF characterization in the laboratory or in silico may draw from these insights and opportunities to discover new associations and corroborate existing ones will arise as more large-scale metagenomic datasets emerge.

Published
2013
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5. CDinFusion--submission-ready, on-line integration of sequence and contextual data.

Author

Wolfgang Hankeln, Norma Johanna Wendel, Jan Gerken, Jost Waldmann, Pier Luigi Buttigieg, Ivaylo Kostadinov, Renzo Kottmann, Pelin Yilmaz, and Frank Oliver Glöckner

Subjects
Medicine, Science
Abstract

State of the art (DNA) sequencing methods applied in "Omics" studies grant insight into the 'blueprints' of organisms from all domains of life. Sequencing is carried out around the globe and the data is submitted to the public repositories of the International Nucleotide Sequence Database Collaboration. However, the context in which these studies are conducted often gets lost, because experimental data, as well as information about the environment are rarely submitted along with the sequence data. If these contextual or metadata are missing, key opportunities of comparison and analysis across studies and habitats are hampered or even impossible. To address this problem, the Genomic Standards Consortium (GSC) promotes checklists and standards to better describe our sequence data collection and to promote the capturing, exchange and integration of sequence data with contextual data. In a recent community effort the GSC has developed a series of recommendations for contextual data that should be submitted along with sequence data. To support the scientific community to significantly enhance the quality and quantity of contextual data in the public sequence data repositories, specialized software tools are needed. In this work we present CDinFusion, a web-based tool to integrate contextual and sequence data in (Multi)FASTA format prior to submission. The tool is open source and available under the Lesser GNU Public License 3. A public installation is hosted and maintained at the Max Planck Institute for Marine Microbiology at http://www.megx.net/cdinfusion. The tool may also be installed locally using the open source code available at http://code.google.com/p/cdinfusion.

Published
2011
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14. The Global Genome Biodiversity Network (GGBN) Data Standard specification.

Author

Gabriele Dröge, Katharine Barker, Ole Seberg, Jonathan Coddington, Erica E. Benson, Walter G. Berendsohn, Boyke Bunk, Carol Butler, E. Margaret Casey, John Deck, Markus Döring, Paul Flemons, Birgit Gemeinholzer, Anton Güntsch, Tom Hollowell, Patricia Kelbert, Ivaylo Kostadinov, Renzo Kottmann, Rita T. Lawlor, Chris Lyal, Jacqueline Mackenzie-Dodds, Christopher Meyer, Daniel Mulcahy, Sara Y. Nussbeck, éamonn ó Tuama, Thomas Orrell, Gitte Petersen, Tim Robertson, Carola Söhngen, Jamie Whitacre, John Wieczorek, Pelin Yilmaz, Holger Zetzsche, Yong Zhang, and Xin Zhou

Published
2016
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15. FAIR enough? A perspective on the status of nucleotide sequence data and metadata on public archives

Author

Tobias Poprick, Raïssa Meyer, Massimiliano Molari, Christiane Hassenrueck, Veronique Helfer, and Ivaylo Kostadinov

Subjects
Metadata, World Wide Web, FASTQ format, European Nucleotide Archive, Computer science, Metagenomics, Shotgun sequencing, Interoperability, Findability, Sequence (medicine)
Abstract

Knowledge derived from nucleotide sequence data is increasing in importance in the life sciences, as well as decision making (mainly in biodiversity policy). Metadata standards have been established to facilitate sustainable sequence data management according to the FAIR principles (Findability, Accessibility, Interoperability, Reusability). Here, we review the status of metadata available for raw read Illumina amplicon and whole genome shotgun sequencing data derived from ecological metagenomic material that are accessible at the European Nucleotide Archive (ENA), as well as the compliance of the primary sequence data (fastq files) with data submission requirements. While overall basic metadata, such as geographic coordinates, were retrievable in 98% of the cases for this type of sequence data, interoperability was not always ensured and other (mainly conditionally) mandatory parameters were often not provided at all. Metadata standards, such as the ‘Minimum Information about any(x) Sequence (MIxS)’, were only infrequently used despite a demonstrated positive impact on metadata quality. Furthermore, the sequence data itself did not meet the prescribed requirements in 31 out of 39 studies that were manually inspected. To tackle the most immediate needs to improve FAIR sequence data management, we provide a list of minimal suggestions to researchers, research institutions, funding agencies, reviewers, publishers, and databases, that we believe might have a potentially large positive impact on sequence data and metadata FAIRness, which is crucial for further research and its derived applications.

Published
2021
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16. 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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17. 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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18. 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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21. Fosmids of novel marine Planctomycetes from the Namibian and Oregon coast upwelling systems and their cross-comparison with planctomycete genomes

Author

Hanno Teeling, Rudolf Amann, Alexandra Dumitriu, Frank Oliver Glöckner, Ivaylo Kostadinov, Patricia Wecker, Dagmar Woebken, and Edward F. DeLong

Subjects
Genomic Library, Pacific Ocean, Bacteria, biology, Phylum, Ecology, Planctomycetes, Genomics, biology.organism_classification, Namibia, Microbiology, Genome, Fosmid, Oregon, Evolutionary biology, Codon usage bias, Candidatus, Seawater, Sulfatases, Proteobacteria, Atlantic Ocean, Genome, Bacterial, Phylogeny, Ecology, Evolution, Behavior and Systematics, Archaea
Abstract

Planctomycetes are widely distributed in marine environments, where they supposedly play a role in carbon recycling. To deepen our understanding about the ecology of this sparsely studied phylum six planctomycete fosmids from two marine upwelling systems were investigated and compared with all available planctomycete genomic sequences including the as yet unpublished near-complete genomes of Blastopirellula marina DSM 3645(T) and Planctomyces maris DSM 8797(T). High numbers of sulfatase genes (41-109) were found on all marine planctomycete genomes and on two fosmids (2). Furthermore, C1 metabolism genes otherwise only known from methanogenic Archaea and methylotrophic Proteobacteria were found on two fosmids and all planctomycete genomes, except for 'Candidatus Kuenenia stuttgartiensis'. Codon usage analysis indicated high expression levels for some of these genes. In addition, novel large families of planctomycete-specific paralogs with as yet unknown functions were identified, which are notably absent from the genome of 'Candidatus Kuenenia stuttgartiensis'. The high numbers of sulfatases in marine planctomycetes characterizes them as specialists for the initial breakdown of sulfatated heteropolysaccharides and indicate their importance for recycling carbon from these compounds. The almost ubiquitous presence of C1 metabolism genes among Planctomycetes together with codon usage analysis and information from the genomes suggest a general importance of these genes for Planctomycetes other than formaldehyde detoxification. The notable absence of these genes in Candidatus K. stuttgartiensis plus the surprising lack of almost any planctomycete-specific gene within this organism reveals an unexpected distinctiveness of anammox bacteria from all other Planctomycetes.

Published
2007
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22. 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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23. Metatranscriptome of marine bacterioplankton during winter time in the North Sea assessed by total RNA sequencing

Author

Frank Oliver Glöckner, Ivaylo Kostadinov, Anna Kopf, Antje Wichels, and Christian Quast

Subjects
Bacterioplankton, TonB, Molecular Sequence Data, Aquatic Science, Algal bloom, Proteorhodopsin, RNA, Ribosomal, 16S, Gammaproteobacteria, Genetics, 14. Life underwater, Gene, Metatranscriptomics, Membrane transporter, biology, Bacteria, Base Sequence, Ecology, Sequence Analysis, RNA, fungi, Alphaproteobacteria, Eutrophication, 16S ribosomal RNA, biology.organism_classification, Plankton, Diatom, North Sea, Seasons, Bloom, Transcriptome, CAZymes
Abstract

Marine metatranscriptome data was generated as part of a study investigating the bacterioplankton communities towards the end of a diatom-dominated spring phytoplankton bloom. This genomic resource article reports a metatranscriptomic dataset from amidst the winter time prior to the occurrence of the spring diatom bloom. Up to 58% of all sequences could be assigned to predicted genes. Taxonomic analysis based on expressed 16S ribosomal RNA genes identified Alphaproteobacteria and Gammaproteobacteria as the most active community members.

Published
2014

24. Applying graph theoretic approaches to microbial metagenomes

Author

Renzo Kottmann, Frank Oliver Glöckner, Pelin Yilmaz, Melissa B. Duhaime, Ivaylo Kostadinov, Wolfgang Hankeln, and Pier Luigi Buttigieg

Subjects
Graph theoretic, Ecology, Ecology (disciplines), media_common.quotation_subject, Protein domain, Biology, Function (engineering), Topology (chemistry), media_common
Abstract

Graph theoretic approaches offer a powerful means to visualise and examine data arising from microbial environmental metagenomes. Here, inter-correlations of protein domains with no known function detected in marine microbial metagenomes were visualised as networks. The topology of these networks combined with putative functional assignments of some participant protein domains allowed the generation of hypotheses concerning the ecological functions these networks may reveal. These methods may be employed to offer an ecological perspective in future attempts to describe the function of uncharacterised protein domains.

Published
2010
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