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Ready-to-use workflows for the implementation of genetic tools in conservation management


Holderegger, Rolf; Schmidt, Benedikt R; Grünig, Christoph; Meier, Robert; Csencsics, Daniela; Gassner, Martin; Rellstab, Christian; Stapfer, André (2020). Ready-to-use workflows for the implementation of genetic tools in conservation management. Conservation Genetics Resources, 12(4):691-700.

Abstract

We present a conservation genetics tool kit, which offers two ready-to-use workflows for the routine application of genetic methods in conservation management. The workflows were optimized for work load and costs and are accompanied by an easy-to-read and richly illustrated manual with guidelines regarding sampling design, sampling of genetic material, necessary permits, laboratory methods, statistical analyses and documentation of results in a practice-oriented way. The manual also provides a detailed interpretation help for the implementation of the results in conservation management. One workflow deals with the identification of pond-breeding amphibians based on metabarcoding and environmental DNA (eDNA) from water samples. This workflow also discriminates the morphologically similar water frogs (<jats:italic>Pelophylax</jats:italic> sp.) and other closely related species (e.g. <jats:italic>Triturus cristatus</jats:italic> and <jats:italic>T. carnifex</jats:italic>). The second workflow studies connectivity among populations using microsatellite markers. Its statistical analyses encompass the detection of genetic groups and historical, recent and current dispersal and gene flow. Using the two workflows does not involve academic research institutes; they can be applied by environmental consultancies, laboratories from the private sector, governmental agencies or non-governmental organisations. These and additional conservation genetic workflows will hopefully foster the routine use of genetic methods in conservation management.

Abstract

We present a conservation genetics tool kit, which offers two ready-to-use workflows for the routine application of genetic methods in conservation management. The workflows were optimized for work load and costs and are accompanied by an easy-to-read and richly illustrated manual with guidelines regarding sampling design, sampling of genetic material, necessary permits, laboratory methods, statistical analyses and documentation of results in a practice-oriented way. The manual also provides a detailed interpretation help for the implementation of the results in conservation management. One workflow deals with the identification of pond-breeding amphibians based on metabarcoding and environmental DNA (eDNA) from water samples. This workflow also discriminates the morphologically similar water frogs (<jats:italic>Pelophylax</jats:italic> sp.) and other closely related species (e.g. <jats:italic>Triturus cristatus</jats:italic> and <jats:italic>T. carnifex</jats:italic>). The second workflow studies connectivity among populations using microsatellite markers. Its statistical analyses encompass the detection of genetic groups and historical, recent and current dispersal and gene flow. Using the two workflows does not involve academic research institutes; they can be applied by environmental consultancies, laboratories from the private sector, governmental agencies or non-governmental organisations. These and additional conservation genetic workflows will hopefully foster the routine use of genetic methods in conservation management.

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Item Type:Journal Article, refereed, further contribution
Communities & Collections:07 Faculty of Science > Institute of Evolutionary Biology and Environmental Studies
Dewey Decimal Classification:570 Life sciences; biology
590 Animals (Zoology)
Scopus Subject Areas:Life Sciences > Ecology, Evolution, Behavior and Systematics
Life Sciences > Genetics
Uncontrolled Keywords:genetics, conservation, habitat fragmentation, isolation, connectivity, eDNA, species detection
Language:English
Date:1 December 2020
Deposited On:08 Oct 2020 14:40
Last Modified:27 Jan 2022 02:43
Publisher:Springer
ISSN:1877-7252
OA Status:Hybrid
Publisher DOI:https://doi.org/10.1007/s12686-020-01165-5

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