Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/26545
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dc.contributor.authorBourgeois, Stephanie-
dc.contributor.authorSenn, Helen-
dc.contributor.authorKaden, Jenny-
dc.contributor.authorTaggart, John-
dc.contributor.authorOgden, Robert-
dc.contributor.authorJeffery, Kathryn Jane-
dc.contributor.authorBunnefeld, Nils-
dc.contributor.authorAbernethy, Katharine-
dc.contributor.authorMcEwing, Ross-
dc.date.accessioned2018-04-06T23:41:35Z-
dc.date.available2018-04-06T23:41:35Z-
dc.date.issued2018-02-
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.isoen-
dc.publisherWiley-Blackwell-
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.-
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.-
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.doihttp://dx.doi.org/10.1002/ece3.3854-
dc.identifier.pmid29468037-
dc.citation.jtitleEcology and Evolution-
dc.citation.issn2045-7758-
dc.citation.volume8-
dc.citation.issue4-
dc.citation.spage2207-
dc.citation.epage2217-
dc.citation.publicationstatusPublished-
dc.citation.peerreviewedRefereed-
dc.type.statusPublisher version (final published refereed version)-
dc.author.emailkathryn.jeffery1@stir.ac.uk-
dc.citation.date24/01/2018-
dc.contributor.affiliationUniversity of Stirling-
dc.contributor.affiliationRoyal Zoological Society of Scotland-
dc.contributor.affiliationRoyal Zoological Society of Scotland-
dc.contributor.affiliationAquaculture-
dc.contributor.affiliationUniversity of Edinburgh-
dc.contributor.affiliationBiological and Environmental Sciences-
dc.contributor.affiliationBiological and Environmental Sciences-
dc.contributor.affiliationBiological and Environmental Sciences-
dc.contributor.affiliationTRACE Wildlife Forensics Network-
dc.identifier.isi000425463900025-
Appears in Collections:Biological and Environmental Sciences Journal Articles

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