Published March 1, 2024 | Version v1
Dataset Open

DNA metabarcoding reveals a broad dietary range for Tasmanian devils introduced to a naïve ecosystem

Authors/Creators

  • 1. University of Sydney

Description

Top carnivores are essential for maintaining ecosystem stability and biodiversity. Yet, carnivores are declining globally and current in situ threat mitigations cannot halt population declines. As such, translocations of carnivores to historic sites or those outside the species' native range are becoming increasingly common. As carnivores are likely to impact herbivore and small predator populations, understanding how carnivores interact within an ecosystem following translocation is necessary to inform potential remedial management and future translocations. Dietary analyses provide a preliminary assessment of the direct influence of translocated carnivores on a recipient ecosystem. We used a metabarcoding approach to quantify the diet of Tasmanian devils introduced to Maria Island, Tasmania, a site outside the species' native range. We extracted DNA from 96 scats and used a universal primer set targeting the vertebrate 12S rRNA gene to identify diet items. Tasmanian devils on Maria Island had an eclectic diet, with 63 consumed taxa identified. Cat DNA was detected in 14% of scats, providing the first instance of cats appearing as part of Tasmanian devil diets either via predation or scavenging. Short-tail shearwaters and little penguins were commonly consumed, corresponding with previous surveys showing sharp population declines in these species since the introduction of Tasmanian devils. Our results indicate that the introduction of carnivores to novel ecosystems can be very successful for the focal species, but that commonly consumed species should be closely monitored to identify any vulnerable species in need of remedial management.

Notes

Funding provided by: Australian Research Council
Crossref Funder Registry ID: https://ror.org/05mmh0f86
Award Number: LP140100508

Funding provided by: Equity Trustees
Crossref Funder Registry ID: https://ror.org/05psqqq26
Award Number:

Files

raw_fastq.zip

Files (4.4 GB)

Name Size Download all
md5:0e598143ec24a6abcbd4509bd28a0995
4.4 GB Preview Download
md5:a8ddd24940daf9d2841cc292e59d21e3
10.7 kB Download
md5:c32261c3d5264de998421a12f94a6713
858 Bytes Preview Download