Non-invasive multi-species monitoring : Real-time PCR detection of small mammal and squirrel prey DNA in pine marten (Martes martes) scats

O'Meara, Denise B. and Sheehy, Emma and Turner, Peter D. and O'Mahony, Declan and Harrington, Andrew P. and Denman, Huw and Lawton, Colin and MacPherson, Jenny and O'Reilly, Catherine (2014) Non-invasive multi-species monitoring : Real-time PCR detection of small mammal and squirrel prey DNA in pine marten (Martes martes) scats. Acta Theriologica, 59 (1). pp. 111-117. ISSN 0001-7051

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Abstract

DNA identification of mammal species occurring in the diet of a predator is potentially a useful approach to remotely monitor the distribution of multiple species. This is important in Ireland, where it has been shown that the combined presence of the introduced bank vole and greater white-toothed shrew impact the distribution of the indigenous small mammals, the wood mouse and pygmy shrew. Direct monitoring of these species and their interactions requires trapping, a labour-intensive and costly approach. In this study, we applied an indirect method by genetically testing the presence of small mammals in pine marten scats collected during the National Pine Marten Survey (2005-2007) to map their distribution. We also included additional scats to investigate if less common prey items, the red squirrel and grey squirrel, could also be detected. This study demonstrates that all target species were genetically detected from pine marten scats. This strategy could be implemented as a monitoring programme for indigenous and introduced mammal species.

Item Type:	Article
Additional Information:	Funding Information: The MISE project is partly funded by the European Development Fund funded by INTERREG IVA (2007–2013). DOM and ES were supported by the EMBARK Strand 1 Initiative and the Irish Research Council for Science, Engineering and Technology (IRCSET), respectively. We would like to thank the associate editor, Allan McDevitt, anonymous reviewers and Jacinta Mullins for their constructive comments to help improve the manuscript.
Uncontrolled Keywords:	/dk/atira/pure/subjectarea/asjc/1100/1105
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Depositing User:	Admin SSL
Date Deposited:	19 Oct 2022 23:02
Last Modified:	21 Jun 2023 18:36
URI:	http://repository-testing.wit.ie/id/eprint/3687

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