Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/22807
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dc.contributor.authorSchuttler, Stephanie Gen_UK
dc.contributor.authorPhilbrick, Jessica Aen_UK
dc.contributor.authorJeffery, Kathryn Janeen_UK
dc.contributor.authorEggert, Lori Sen_UK
dc.date.accessioned2016-01-29T01:44:44Z-
dc.date.available2016-01-29T01:44:44Z-
dc.date.issued2014-02-05en_UK
dc.identifier.othere88074en_UK
dc.identifier.urihttp://hdl.handle.net/1893/22807-
dc.description.abstractSpatial patterns of relatedness within animal populations are important in the evolution of mating and social systems, and have the potential to reveal information on species that are difficult to observe in the wild. This study examines the fine-scale genetic structure and connectivity of groups within African forest elephants,Loxodonta cyclotis, which are often difficult to observe due to forest habitat. We tested the hypothesis that genetic similarity will decline with increasing geographic distance, as we expect kin to be in closer proximity, using spatial autocorrelation analyses and Tau Krtests. Associations between individuals were investigated through a non-invasive genetic capture-recapture approach using network models, and were predicted to be more extensive than the small groups found in observational studies, similar to fission-fusion sociality found in African savanna (Loxodonta africana) and Asian (Elephas maximus) species. Dung samples were collected in Lopé National Park, Gabon in 2008 and 2010 and genotyped at 10 microsatellite loci, genetically sexed, and sequenced at the mitochondrial DNA control region. We conducted analyses on samples collected at three different temporal scales: a day, within six-day sampling sessions, and within each year. Spatial autocorrelation and Tau Krtests revealed genetic structure, but results were weak and inconsistent between sampling sessions. Positive spatial autocorrelation was found in distance classes of 0–5 km, and was strongest for the single day session. Despite weak genetic structure, individuals within groups were significantly more related to each other than to individuals between groups. Social networks revealed some components to have large, extensive groups of up to 22 individuals, and most groups were composed of individuals of the same matriline. Although fine-scale population genetic structure was weak, forest elephants are typically found in groups consisting of kin and based on matrilines, with some individuals having more associates than observed from group sizes alone.en_UK
dc.language.isoenen_UK
dc.publisherPublic Library of Scienceen_UK
dc.relationSchuttler SG, Philbrick JA, Jeffery KJ & Eggert LS (2014) Fine-scale genetic structure and cryptic associations reveal evidence of kin-based sociality in the African forest elephant. PLoS ONE, 9 (2), Art. No.: e88074. https://doi.org/10.1371/journal.pone.0088074en_UK
dc.rights© 2014 Schuttler et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.titleFine-scale genetic structure and cryptic associations reveal evidence of kin-based sociality in the African forest elephanten_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1371/journal.pone.0088074en_UK
dc.identifier.pmid24505381en_UK
dc.citation.jtitlePLoS ONEen_UK
dc.citation.issn1932-6203en_UK
dc.citation.volume9en_UK
dc.citation.issue2en_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.date05/02/2014en_UK
dc.contributor.affiliationUniversity of Missouri - Columbiaen_UK
dc.contributor.affiliationUniversity of Missouri - Columbiaen_UK
dc.contributor.affiliationBiological and Environmental Sciencesen_UK
dc.contributor.affiliationUniversity of Missouri - Columbiaen_UK
dc.identifier.isiWOS:000330829200109en_UK
dc.identifier.scopusid2-s2.0-84895547586en_UK
dc.identifier.wtid585007en_UK
dc.contributor.orcid0000-0002-2632-0008en_UK
dc.date.accepted2014-01-04en_UK
dcterms.dateAccepted2014-01-04en_UK
dc.date.filedepositdate2016-01-28en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorSchuttler, Stephanie G|en_UK
local.rioxx.authorPhilbrick, Jessica A|en_UK
local.rioxx.authorJeffery, Kathryn Jane|0000-0002-2632-0008en_UK
local.rioxx.authorEggert, Lori S|en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate2016-01-28en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2016-01-28|en_UK
local.rioxx.filenameSchuttler et al_Plos One_2014.pdfen_UK
local.rioxx.filecount1en_UK
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