Volume 50, Issue 3 pp. 221-225
Short Communication, Editor’s Choice
Full Access

Assessing the potential of environmental DNA metabarcoding for monitoring Neotropical mammals: a case study in the Amazon and Atlantic Forest, Brazil

Naiara Guimarães Sales

Corresponding Author

Naiara Guimarães Sales

Environment and Ecosystem Research Centre, School of Science, Engineering and Environment, University of Salford, Salford, M5 4WT UK

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Mariane da Cruz Kaizer

Mariane da Cruz Kaizer

Environment and Ecosystem Research Centre, School of Science, Engineering and Environment, University of Salford, Salford, M5 4WT UK

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Ilaria Coscia

Ilaria Coscia

Environment and Ecosystem Research Centre, School of Science, Engineering and Environment, University of Salford, Salford, M5 4WT UK

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Joseph C. Perkins

Joseph C. Perkins

Environment and Ecosystem Research Centre, School of Science, Engineering and Environment, University of Salford, Salford, M5 4WT UK

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Andrew Highlands

Andrew Highlands

Environment and Ecosystem Research Centre, School of Science, Engineering and Environment, University of Salford, Salford, M5 4WT UK

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Jean P. Boubli

Jean P. Boubli

Environment and Ecosystem Research Centre, School of Science, Engineering and Environment, University of Salford, Salford, M5 4WT UK

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William E. Magnusson

William E. Magnusson

Coordenação de Biodiversidade, Instituto Nacional de Pesquisas da Amazônia, Manaus, Amazonas, Brazil

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Maria Nazareth Ferreira Da Silva

Maria Nazareth Ferreira Da Silva

Coleção de Mamíferos, Instituto Nacional de Pesquisas da Amazônia, Manaus, Amazonas, Brazil

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Chiara Benvenuto

Chiara Benvenuto

Environment and Ecosystem Research Centre, School of Science, Engineering and Environment, University of Salford, Salford, M5 4WT UK

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Allan D. Mcdevitt

Corresponding Author

Allan D. Mcdevitt

Environment and Ecosystem Research Centre, School of Science, Engineering and Environment, University of Salford, Salford, M5 4WT UK

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First published: 14 January 2020
Citations: 43
Editor: DR

Abstract

The application of environmental DNA (eDNA) metabarcoding as a biomonitoring tool has greatly increased, but studies have focused on temperate aquatic macro-organisms. We apply eDNA metabarcoding to detecting the mammalian community in two high-biodiversity regions of Brazil: the Amazon and Atlantic Forests. We identified Critically Endangered and Endangered mammalian species and found overlap with species identified via camera trapping. We highlight the potential for using eDNA monitoring for mammals in biodiverse regions and identify challenges: we need a better understanding of the ecology of eDNA within variable environments and more appropriate reference sequences for species identification in these anthropogenically impacted biomes.

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