Genetic Structure and Gene Flow in Eastern Grey Kangaroos in an Isolated Conservation Reserve

Zemanova, MA; Ramp, D

Genetic Structure and Gene Flow in Eastern Grey Kangaroos in an Isolated Conservation Reserve

Zemanova, MA Ramp, D

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Publisher:: MDPI AG
Publication Type:: Journal Article
Citation:: Diversity, 13, (11), pp. 570-570

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Field	Value	Language
dc.contributor.author	Zemanova, MA
dc.contributor.author	Ramp, D https://orcid.org/0000-0003-3202-9898
dc.date.accessioned	2021-11-09T22:52:11Z
dc.date.available	2021-11-09T22:52:11Z
dc.identifier.citation	Diversity, 13, (11), pp. 570-570
dc.identifier.issn	1424-2818
dc.identifier.uri	http://hdl.handle.net/10453/151466
dc.description.abstract	<jats:p>Dispersal is a key process for population persistence, particularly in fragmented landscapes. Connectivity between habitat fragments can be easily estimated by quantifying gene flow among subpopulations. However, the focus in ecological research has been on endangered species, typically excluding species that are not of current conservation concern. Consequently, our current understanding of the behaviour and persistence of many species is incomplete. A case in point is the eastern grey kangaroo (Macropus giganteus), an Australian herbivore that is subjected to considerable harvesting and population control efforts. In this study, we used non-invasive genetic sampling of eastern grey kangaroos within and outside of the Mourachan Conservation Property to assess functional connectivity. In total, we genotyped 232 samples collected from 17 locations at 20 microsatellite loci. The clustering algorithm indicated the presence of two clusters, with some overlap between the groups within and outside of the reserve. This genetic assessment should be repeated in 10–15 years to observe changes in population structure and gene flow over time, monitoring the potential impact of the planned exclusion fencing around the reserve.</jats:p>
dc.language	en
dc.publisher	MDPI AG
dc.relation.ispartof	Diversity
dc.relation.isbasedon	10.3390/d13110570
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0301 Analytical Chemistry, 0502 Environmental Science and Management, 0602 Ecology, 0805 Distributed Computing, 0906 Electrical and Electronic Engineering
dc.subject.classification	Analytical Chemistry
dc.title	Genetic Structure and Gene Flow in Eastern Grey Kangaroos in an Isolated Conservation Reserve
dc.type	Journal Article
utslib.citation.volume	13
utslib.for	0301 Analytical Chemistry
utslib.for	0502 Environmental Science and Management
utslib.for	0602 Ecology
utslib.for	0805 Distributed Computing
utslib.for	0906 Electrical and Electronic Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
utslib.copyright.status	open_access	*
dc.date.updated	2021-11-09T22:52:09Z
pubs.issue	11
pubs.publication-status	Published online
pubs.volume	13
utslib.citation.issue	11

Abstract:

Dispersal is a key process for population persistence, particularly in fragmented landscapes. Connectivity between habitat fragments can be easily estimated by quantifying gene flow among subpopulations. However, the focus in ecological research has been on endangered species, typically excluding species that are not of current conservation concern. Consequently, our current understanding of the behaviour and persistence of many species is incomplete. A case in point is the eastern grey kangaroo (Macropus giganteus), an Australian herbivore that is subjected to considerable harvesting and population control efforts. In this study, we used non-invasive genetic sampling of eastern grey kangaroos within and outside of the Mourachan Conservation Property to assess functional connectivity. In total, we genotyped 232 samples collected from 17 locations at 20 microsatellite loci. The clustering algorithm indicated the presence of two clusters, with some overlap between the groups within and outside of the reserve. This genetic assessment should be repeated in 10–15 years to observe changes in population structure and gene flow over time, monitoring the potential impact of the planned exclusion fencing around the reserve.

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http://hdl.handle.net/10453/151466