2020
DOI: 10.1007/s10592-020-01299-x
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Genetic monitoring of the greater stick-nest rat meta-population for strategic supplementation planning

Abstract: Translocation is an increasingly common component of species conservation efforts. However, translocated populations often suffer from loss of genetic diversity and increased inbreeding, and thus may require active management to establish gene flow across isolated populations. Assisted gene flow can be laborious and costly, so recipient and source populations should be carefully chosen to maximise genetic diversity outcomes. The greater stick-nest rat (GSNR, Leporillus conditor), a threatened Australian rodent… Show more

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Cited by 14 publications
(18 citation statements)
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“…These data were generated using ddRAD-seq (Poland et al, 2012) from ear or tail clips sampled from GSNRs trapped on the Franklin Islands in 1994 and on Salutation Island in 2016. SNPs with minor allele frequencies of <0.05 and more than 25% of missing data were removed (White et al, 2020b). Demultiplexed and adapter-trimmed sequencing data are available from NCBI's sequence read archive (accession number: PRJNA389954) and more detailed methodology regarding sampling, library preparation and bioinformatic processing can be found in White et al (2020b).…”
Section: Genetic Datamentioning
confidence: 99%
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“…These data were generated using ddRAD-seq (Poland et al, 2012) from ear or tail clips sampled from GSNRs trapped on the Franklin Islands in 1994 and on Salutation Island in 2016. SNPs with minor allele frequencies of <0.05 and more than 25% of missing data were removed (White et al, 2020b). Demultiplexed and adapter-trimmed sequencing data are available from NCBI's sequence read archive (accession number: PRJNA389954) and more detailed methodology regarding sampling, library preparation and bioinformatic processing can be found in White et al (2020b).…”
Section: Genetic Datamentioning
confidence: 99%
“…GSNRs were listed as ‘Endangered’ under the IUCN assessment criteria in 1996 but have since been downlisted to ‘Vulnerable’ due to successful translocations to a captive colony at Monarto Safari Park in the late 1980s and several conservation areas since 1990 (Short et al ., 2019). All five of the surviving translocated populations have lower genetic diversity than the Franklin Islands individuals (White et al ., 2020 b ), possibly due to founder effects in the Monarto captive population, over‐ and under‐representation of founders in translocated populations, and/or genetic drift after release. As the last remaining wild (and most genetically diverse) population, the Franklin Islands GSNRs represent both an important source for translocation harvesting and a critical population that must be conserved for the ongoing viability of the species.…”
Section: Introductionmentioning
confidence: 99%
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“…While there are still some uncertainties surrounding interpretation and uptake of genomic data in a management context [ 56 ], population genomics studies are increasingly being applied to conservation problems and management decision-making [ 65 ]. Genomic data have already been used to extensively study and characterise the genetic diversity of Australian wildlife, including quantifying the genetic effects of translocations in small mammal populations and identifying candidate genes associated with breeding success in marsupials [ 14 , 66 , 67 , 68 , 69 , 70 ].…”
Section: Conservation Genetics In the Genomics Eramentioning
confidence: 99%
“…Although many practitioners have been historically averse to admixture as a conservation strategy [ 131 ], a cultural shift has recently taken place. There have been a number of cases of successful collaboration between genetic researchers and conservation practitioners in Australia, such as the “devil tools & tech” umbrella framework implemented by the Save the Tasmanian Devil Program [ 126 ] and various provenance-related research projects to facilitate ecological restoration [ 69 , 132 , 133 ]. Indeed, the inclusion of non-academic co-authors in conservation genetics and genomics studies (e.g., [ 134 , 135 ]) has been shown to increase the likelihood of a specific solution- or policy-orientated outcome by up to 250% [ 136 ].…”
Section: Overcoming Barriers To the Application Of Genomics For Conservation Management Under Climate Changementioning
confidence: 99%