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Other publication in scientific journal, 2019

New molecular methods to assess biodiversity. Potentials and pitfalls of DNA metabarcoding: a workshop report

Kahlert, Maria; Alfjorden, Anders; Apunte-Ramos, Katherine; Burillo, Javier Pérez; Gonzalez, Andrea Greta Carrera; Castro, David; Di Bernardi, Cecilia; Dully, Verena; Fekete, Judit; Frühe, Larissa; González, Raquel; Gratsia, Eirini; Hanjalic, Jasna; Kamberovic, Jasmina; Kelly, Ann-Marie; Meriggi, Carlotta; Nousianen, Ilkka; Øberg, Sarah B.; Orr, James; Quintana, Cintia;
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This report presents the outcome of the joint work of PhD students and senior researchers working with DNA-based biodiversity assessment approaches with the goal to facilitate others the access to definitions and explanations about novel DNA-based methods. The work was performed during a PhD course (SLU PNS0169) at the Swedish University of Agricultural Sciences (SLU) in Uppsala, Sweden. The course was co-organized by the EU COST research network DNAqua-Net and the SLU Research Schools Focus on Soils and Water (FoSW) and Ecology - basics and applications. DNAqua-Net (COST Action CA15219, 2016-2020) is a network connecting researchers, water managers, politicians and other stakeholders with the aim to develop new genetic tools for bioassessment of aquatic ecosystems in Europe and beyond. The PhD course offered a comprehensive overview of the paradigm shift from traditional morphology-based species identification to novel identification approaches based on molecular markers. We covered the use of molecular tools in both basic research and applied use with a focus on aquatic ecosystem assessment, from species collection to the use of diversity in environmental legislation. The focus of the course was on DNA (meta)barcoding and aquatic organisms. The knowledge gained was shared with the general public by creating Wikipedia pages and through this collaborative Open Access publication, co-authored by all course participants.


DNA barcoding; biodiversity; molecular identification; aquatic organisms; metabarcoding

Published in

Research Ideas and Outcomes
2019, volume: 5, article number: e38915

Authors' information

Swedish University of Agricultural Sciences, Department of Aquatic Sciences and Assessment
Alfjorden, Anders
Uppsala University
Apunte-Ramos, Katherine
Univ Reg Amazon Ikiam
Burillo, Javier Pérez
Universitat Rovira i Virgili (URV)
Gonzalez, Andrea Greta Carrera
Ghent University
Swedish University of Agricultural Sciences, Department of Forest Genetics and Plant Physiology
Swedish University of Agricultural Sciences, Department of Ecology
Dully, Verena
University of Kaiserslautern
Fekete, Judit
University of Pannonia
Frühe, Larissa
University of Kaiserslautern
González, Raquel
University of Valencia
Gratsia, Eirini
Hellenic Centre for Marine Research
Hanjalic, Jasna
University of Sarajevo
Kamberovic, Jasmina
University of Tuzla
Kelly, Ann-Marie
University College Dublin
Swedish University of Agricultural Sciences, Department of Aquatic Sciences and Assessment
Nousianen, Ilkka
Estonian University of Life Sciences
Øberg, Sarah B.
Aarhus University
Orr, James
Trinity College Dublin
Quintana, Cintia
University of Southern Denmark
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