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Angeles NAC, Catap ES. Challenges on the Development of Biodiversity Biobanks: The Living Archives of Biodiversity. Biopreserv Biobank 2023; 21:5-13. [PMID: 35133889 DOI: 10.1089/bio.2021.0127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Biodiversity biobanks or ex situ biodiversity biorepositories tend to receive less attention compared with their biomedical counterparts. In this review, we highlight the necessity for these biorepositories by presenting their significant role in health, biodiversity, linking of big data, other translational research, and biodiversity conservation efforts. Moreover, the significant challenges in developing and maintaining biodiversity biobanks based on successful biobanks in some megadiverse developing countries are examined to provide insights into what needs to be done and what can be improved by up-and-coming biodiversity biobanks. These challenges include lack of financial support and political will; availability of experts; development of standard policies; and information management system. In addition, issues regarding access and benefit sharing and Digital Sequence Information must be addressed by biodiversity biobanks.
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Affiliation(s)
- Nestly Anne C Angeles
- Philippine Genome Center, University of the Philippines Diliman, Quezon City, Philippines.,Department of Science and Technology-Science Education Institute, Taguig, Philippines
| | - Elena S Catap
- Functional Bioactivity Screening Lab, Institute of Biology, College of Science National Science Complex, University of the Philippines-Diliman, Quezon City, Philippines
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Thessen AE, Bogdan P, Patterson DJ, Casey TM, Hinojo-Hinojo C, de Lange O, Haendel MA. From Reductionism to Reintegration: Solving society's most pressing problems requires building bridges between data types across the life sciences. PLoS Biol 2021; 19:e3001129. [PMID: 33770077 PMCID: PMC7997011 DOI: 10.1371/journal.pbio.3001129] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Decades of reductionist approaches in biology have achieved spectacular progress, but the proliferation of subdisciplines, each with its own technical and social practices regarding data, impedes the growth of the multidisciplinary and interdisciplinary approaches now needed to address pressing societal challenges. Data integration is key to a reintegrated biology able to address global issues such as climate change, biodiversity loss, and sustainable ecosystem management. We identify major challenges to data integration and present a vision for a "Data as a Service"-oriented architecture to promote reuse of data for discovery. The proposed architecture includes standards development, new tools and services, and strategies for career-development and sustainability.
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Affiliation(s)
- Anne E. Thessen
- Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, Oregon, United States of America
- * E-mail:
| | - Paul Bogdan
- Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California, United States of America
| | | | - Theresa M. Casey
- Department of Animal Sciences, Purdue University, West Lafayette, Indiana, United States of America
| | - César Hinojo-Hinojo
- Department of Earth System Science, University of California, Irvine, California, United States of America
| | - Orlando de Lange
- Department of Electrical Engineering, University of Washington, Seattle, Washington, United States of America
| | - Melissa A. Haendel
- Department of Environmental and Molecular Toxicology, Oregon State University, Corvallis, Oregon, United States of America
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Miralles A, Bruy T, Wolcott K, Scherz MD, Begerow D, Beszteri B, Bonkowski M, Felden J, Gemeinholzer B, Glaw F, Glöckner FO, Hawlitschek O, Kostadinov I, Nattkemper TW, Printzen C, Renz J, Rybalka N, Stadler M, Weibulat T, Wilke T, Renner SS, Vences M. Repositories for Taxonomic Data: Where We Are and What is Missing. Syst Biol 2020; 69:1231-1253. [PMID: 32298457 PMCID: PMC7584136 DOI: 10.1093/sysbio/syaa026] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Revised: 02/20/2020] [Accepted: 03/24/2020] [Indexed: 12/05/2022] Open
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 $ \le $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.].
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Affiliation(s)
- Aurélien Miralles
- Departement Origins and Evolution, Institut Systématique, Evolution, Biodiversité (ISYEB), Muséum national d’Histoire naturelle, CNRS, Sorbonne Université, EPHE, 57 rue Cuvier, CP50, 75005 Paris, France
- Systematic Botany and Mycology, University of Munich (LMU), Menzingerstraße 67, 80638 Munich, Germany
| | - Teddy Bruy
- Departement Origins and Evolution, Institut Systématique, Evolution, Biodiversité (ISYEB), Muséum national d’Histoire naturelle, CNRS, Sorbonne Université, EPHE, 57 rue Cuvier, CP50, 75005 Paris, France
- Systematic Botany and Mycology, University of Munich (LMU), Menzingerstraße 67, 80638 Munich, Germany
| | - Katherine Wolcott
- Systematic Botany and Mycology, University of Munich (LMU), Menzingerstraße 67, 80638 Munich, Germany
- National Museum of Natural History, Smithsonian Institution, Washington, DC, USA
| | - Mark D Scherz
- Department of Herpetology, Zoologische Staatssammlung München (ZSM-SNSB), Münchhausenstraße 21, 81247 München, Germany
- Department of Biology, Universität Konstanz, Universitätstraße 10, 78464 Konstanz, Germany
| | - Dominik Begerow
- Department of Geobotany, Ruhr-University Bochum, Universitätsstraße 150, 44780 Bochum, Germany
| | - Bank Beszteri
- Department of Phycology, Faculty of Biology, University of Duisburg-Essen, Universitätsstraße 2, 45141 Essen, Germany
| | - Michael Bonkowski
- Department of Terrestrial Ecology, Center of Excellence in Plant Sciences (CEPLAS), Terrestrial Ecology, Institute of Zoology, University of Cologne, 50674 Köln, Germany
| | - Janine Felden
- MARUM - Center for Marine Environmental Sciences, University of Bremen, Leobenerstraße 8, 28359 Bremen, Germany
- Alfred Wegener Institute - Helmholtz Center for Polar- and Marine Research, Am Handelshafen 12, 27570 Bremerhaven, Germany
| | - Birgit Gemeinholzer
- Department of Systematic Botany, Justus Liebig University Gießen, Heinrich-Buff Ring 38, 35392 Giessen, Germany
| | - Frank Glaw
- Department of Herpetology, Zoologische Staatssammlung München (ZSM-SNSB), Münchhausenstraße 21, 81247 München, Germany
| | - Frank Oliver Glöckner
- Alfred Wegener Institute - Helmholtz Center for Polar- and Marine Research, Am Handelshafen 12, 27570 Bremerhaven, Germany
| | - Oliver Hawlitschek
- Department of Herpetology, Zoologische Staatssammlung München (ZSM-SNSB), Münchhausenstraße 21, 81247 München, Germany
- Department of Scientific Infrastructure, Centrum für Naturkunde (CeNak), Universität Hamburg, Martin-Luther-King-Platz 3, 20146 Hamburg, Germany
| | - Ivaylo Kostadinov
- GFBio - Gesellschaft für Biologische Daten e.V., c/o Research II, Campus Ring 1, 28759 Bremen, Germany
| | - Tim W Nattkemper
- Biodata Mining Group, Center of Biotechnology (CeBiTec), Bielefeld University, PO Box 100131, 33501 Bielefeld, Germany
| | - Christian Printzen
- Department of Botany and Molecular Evolution, Senckenberg Research Institute and Natural History Museum Frankfurt, Senckenberganlage 25, 60325 Frankfurt/Main, Germany
| | - Jasmin Renz
- Zooplankton Research Group, DZMB – Senckenberg am Meer, Martin-Luther-King Platz 3, 20146 Hamburg, Germany
| | - Nataliya Rybalka
- Department of Experimental Phycology and Culture Collection of Algae, University Göttingen, Nikolausberger-Weg 18, 37073 Göttingen, Germany
| | - Marc Stadler
- Department Microbial Drugs, Helmholtz Centre for Infection Research (HZI), and German Centre for Infection Research (DZIF), Partner Site Hannover-Braunschweig, Inhoffenstrasse 7, 38124 Braunschweig, Germany
| | - Tanja Weibulat
- GFBio - Gesellschaft für Biologische Daten e.V., c/o Research II, Campus Ring 1, 28759 Bremen, Germany
| | - Thomas Wilke
- Department of Animal Ecology and Systematics, Justus Liebig University Gießen, Heinrich-Buff Ring 26, 35392 Giessen, Germany
| | - Susanne S Renner
- Systematic Botany and Mycology, University of Munich (LMU), Menzingerstraße 67, 80638 Munich, Germany
| | - Miguel Vences
- Department of Evolutionary Biology, Zoological Institute, Technische Universität Braunschweig, Mendelssohnstraße 4, 38106 Braunschweig, Germany
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