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Data from:Identifying cryptic mammals with non-invasive methods: An effective molecular species identification tool to survey southern African terrestrial carnivores

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Wong, Amy;Eizirik, Eduardo;Koepfli, Klaus-Peter;de Ferran, Vera;Shihepo, Tresia;Rose Lay, Anna;Zumbroich, Julia;Rooney, Nicola;Marker, Laurie;Schmidt-Küntzel, Anne

Description

Carnivores play a vital role in ecosystem health and are thus an important focus for conservation management. Non-invasive methods have gained traction for carnivore monitoring as they are often elusive and wide-ranging, making visual counts particularly difficult. Faecal mini-barcoding combines field collection of scats with genetic analysis for species identification. Here, we assessed the applicability of a mini-barcode based on the mitochondrial ATP6 gene in southern Africa. We predicted amplification success based on in silico evaluation of 34 of the 42 terrestrial carnivore species existing in southern Africa, including the Congo clawless otter (Aonyx congicus) for which we contributed a mitochondrial assembly, and tested amplification success on available reference samples of 23 species. We expanded the existing ATP6 mini-barcode reference database by contributing additional sequences for 22 species, including the Cape genet (Genetta tigrina) and the side-striped jackal (Lupulella adusta), for which no complete mini-barcode sequences were available on GenBank to date. We furthermore applied the ATP6 mini-barcode to a scat-based carnivore survey conducted in 2009 in a grassland habitat in Namibia, showing a 94.9% identification success. Six carnivore species were detected from 157 samples and were predicted to account for 75% of the species assemblage. Black-backed jackals (Lupulella mesomelas) contributed the majority of faecal samples (87.2%) and were distributed evenly throughout the area. Scat samples of the remaining species, including leopard (Panthera pardus), were distributed along the edge, in proximity to dense bushland.

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Mentions (0)

Metrics

Dataset Index

0.8

FAIR Score

77%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Dryad

License

Creative Commons Zero v1.0 Universal

Assigned Domain

Subfield

Ecology, Evolution, Behavior and Systematics

Field

Agricultural and Biological Sciences

Domain

Life Sciences

Confidence Score

43%

Source

Scholar Data Model

Keywords

FOS: Biological sciencesmitochondrial mini-barcodesouthern African terrestrial carnivoresnon-invasive geneticsscat-based surveyNamibiathornbush savannahLupulella adustaGenetta tigrinaLupulella mesomelasPanthera pardus

Normalization Factors

FT

56.73

CTw

1.00

MTw

1.00