Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/26545
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dc.contributor.authorBourgeois, Stephanieen_UK
dc.contributor.authorSenn, Helenen_UK
dc.contributor.authorKaden, Jennyen_UK
dc.contributor.authorTaggart, Johnen_UK
dc.contributor.authorOgden, Roberten_UK
dc.contributor.authorJeffery, Kathryn Janeen_UK
dc.contributor.authorBunnefeld, Nilsen_UK
dc.contributor.authorAbernethy, Katharineen_UK
dc.contributor.authorMcEwing, Rossen_UK
dc.date.accessioned2018-04-06T23:41:35Z-
dc.date.available2018-04-06T23:41:35Z-
dc.date.issued2018-02en_UK
dc.identifier.urihttp://hdl.handle.net/1893/26545-
dc.description.abstractThe continuing decline in forest elephant (Loxodonta cyclotis) numbers due to poaching and habitat reduction is driving the search for new tools to inform management and conservation. For dense rainforest species, basic ecological data on populations and threats can be challenging and expensive to collect, impeding conservation action in the field. As such, genetic monitoring is being increasingly implemented to complement or replace more burdensome field techniques. Single nucleotide polymorphisms (SNPs) are particularly cost-effective and informative markers that can be used for a range of practical applications, including population census, assessment of human impact on social and genetic structure, and investigation of the illegal wildlife trade. SNP resources for elephants are scarce, but next generation sequencing provides the opportunity for rapid, inexpensive generation of SNP markers in non-model species. Here we sourced forest elephant DNA from 23 samples collected from 10 locations within Gabon, Central Africa, and applied double-digest restriction-site-associated DNA (ddRAD) sequencing to discover 31,851 tags containing SNPs that were reduced to a set of 1365 high-quality candidate SNP markers. A subset of 115 candidate SNPs was then selected for assay design and validation using 56 additional samples. Genotyping resulted in a high conversion rate (93%) and a low per allele error rate (0.07%). This study provides the first panel of 107 validated SNP markers for forest elephants. This resource presents great potential for new genetic tools to produce reliable data and underpin a step-change in conservation policies for this elusive species.en_UK
dc.language.isoenen_UK
dc.publisherWiley-Blackwellen_UK
dc.relationBourgeois S, Senn H, Kaden J, Taggart J, Ogden R, Jeffery KJ, Bunnefeld N, Abernethy K & McEwing R (2018) Single-nucleotide polymorphism discovery and panel characterization in the African forest elephant. Ecology and Evolution, 8 (4), pp. 2207-2217. https://doi.org/10.1002/ece3.3854en_UK
dc.rights© 2018 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectforest elephanten_UK
dc.subjectGabonen_UK
dc.subjectSNPen_UK
dc.subjectddRADen_UK
dc.titleSingle-nucleotide polymorphism discovery and panel characterization in the African forest elephanten_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1002/ece3.3854en_UK
dc.identifier.pmid29468037en_UK
dc.citation.jtitleEcology and Evolutionen_UK
dc.citation.issn2045-7758en_UK
dc.citation.volume8en_UK
dc.citation.issue4en_UK
dc.citation.spage2207en_UK
dc.citation.epage2217en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.author.emailkathryn.jeffery1@stir.ac.uken_UK
dc.citation.date24/01/2018en_UK
dc.contributor.affiliationUniversity of Stirlingen_UK
dc.contributor.affiliationRoyal Zoological Society of Scotlanden_UK
dc.contributor.affiliationRoyal Zoological Society of Scotlanden_UK
dc.contributor.affiliationInstitute of Aquacultureen_UK
dc.contributor.affiliationUniversity of Edinburghen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationTRACE Wildlife Forensics Networken_UK
dc.identifier.isiWOS:000425463900025en_UK
dc.identifier.scopusid2-s2.0-85041088608en_UK
dc.identifier.wtid504765en_UK
dc.contributor.orcid0000-0002-3843-9663en_UK
dc.contributor.orcid0000-0002-2632-0008en_UK
dc.contributor.orcid0000-0002-1349-4463en_UK
dc.contributor.orcid0000-0002-0393-9342en_UK
dc.date.accepted2017-12-29en_UK
dcterms.dateAccepted2017-12-29en_UK
dc.date.filedepositdate2018-01-17en_UK
rioxxterms.apcpaiden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorBourgeois, Stephanie|en_UK
local.rioxx.authorSenn, Helen|en_UK
local.rioxx.authorKaden, Jenny|en_UK
local.rioxx.authorTaggart, John|0000-0002-3843-9663en_UK
local.rioxx.authorOgden, Robert|en_UK
local.rioxx.authorJeffery, Kathryn Jane|0000-0002-2632-0008en_UK
local.rioxx.authorBunnefeld, Nils|0000-0002-1349-4463en_UK
local.rioxx.authorAbernethy, Katharine|0000-0002-0393-9342en_UK
local.rioxx.authorMcEwing, Ross|en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate2018-01-24en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||2018-01-24en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2018-01-24|en_UK
local.rioxx.filenameBourgeois_et_al-2018-Ecology_and_Evolution.pdfen_UK
local.rioxx.filecount1en_UK
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