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dc.contributor.authorBoake, C R B
dc.contributor.authorArnold, S J
dc.contributor.authorBreden, F
dc.contributor.authorMeffert, L M
dc.contributor.authorRitchie, M G
dc.contributor.authorTaylor, B J
dc.contributor.authorWolf, J B
dc.contributor.authorMoore, A J
dc.date.accessioned2014-08-12T14:01:06Z
dc.date.available2014-08-12T14:01:06Z
dc.date.issued2002-12
dc.identifier.citationBoake , C R B , Arnold , S J , Breden , F , Meffert , L M , Ritchie , M G , Taylor , B J , Wolf , J B & Moore , A J 2002 , ' Genetic tools for studying adaptation and the evolution of behavior ' , American Naturalist , vol. 160 , pp. S143-S159 . https://doi.org/10.1086/342902en
dc.identifier.issn1537-5323
dc.identifier.otherPURE: 765997
dc.identifier.otherPURE UUID: 93dc21ef-0171-4e94-8210-39282f244731
dc.identifier.otherWOS: 000179869000002
dc.identifier.otherScopus: 0036919948
dc.identifier.urihttps://hdl.handle.net/10023/5124
dc.descriptionC.R.B.B. acknowledges support from the National Science Foundation (NSF; grants IBN‐0086955 and IBN‐0120394), which funded the workshops and symposium that produced this article. A.J.M. and M.G.R. receive funding from the Natural Environment Research Council; S.J.A., L.M.M., A.J.M., and J.B.W. are supported by the NSF; F.B. is funded by the Natural Sciences and Engineering Research Council; and B.J.T. acknowledges support from the National Institute of Health.en
dc.description.abstractThe rapid expansion of genomic and molecular genetic techniques in model organisms, and the application of these techniques to organisms that are less well studied genetically, make it possible to understand the genetic control of many behavioral phenotypes. However, many behavioral ecologists are uncertain about the value of including a genetic component in their studies. In this article, we review how genetic analyses of behavior are central to topics ranging from understanding past selection and predicting future evolution to explaining the neural and hormonal control of behavior. Furthermore, we review both new and old techniques for studying evolutionary behavior genetics and highlight how the choice of approach depends on both the question and the organism. Topics discussed include genetic architecture, detecting the past history of selection, and genotype-by-environment interactions. We show how these questions are being addressed with techniques including statistical genetics, QTL analyses, transgenic analyses, and microarrays. Many of the techniques were first applied to the behavior of genetic model organisms such as laboratory mice and flies. Two recent developments serve to expand the relevance of such studies to behavioral ecology. The first is to use model organisms for studies of the genetic basis of evolutionarily relevant behavior and the second is to apply methods developed in model genetic systems to species that have not previously been examined genetically. These conceptual advances, along with the rapid diversification of genetic tools and the recognition of widespread genetic homology, suggest a bright outlook for evolutionary genetic studies. This review provides access to tools through references to the recent literature and shows the great promise for evolutionary behavioral genetics.
dc.format.extent17
dc.language.isoeng
dc.relation.ispartofAmerican Naturalisten
dc.rightsCopyright, 2002, by The University of Chicago.en
dc.subjectBehavior geneticsen
dc.subjectG x Een
dc.subjectGenetic architectureen
dc.subjectLinkageen
dc.subjectMolecular techniquesen
dc.subjectQTLen
dc.subjectQuantitative geneticsen
dc.subjectQuantitative trait locien
dc.subjectEstimating variance-componentsen
dc.subjectBeetle onthophagus-taurusen
dc.subjectFemale mating-behavioren
dc.subjectTriple test crossen
dc.subjectDrosophila-melanogasteren
dc.subjectNatural-populationsen
dc.subjectWild populationsen
dc.subjectMate recognitionen
dc.subjectLek paradoxen
dc.subjectQH301 Biologyen
dc.subject.lccQH301en
dc.titleGenetic tools for studying adaptation and the evolution of behavioren
dc.typeJournal itemen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Scottish Oceans Instituteen
dc.identifier.doihttps://doi.org/10.1086/342902
dc.description.statusPeer revieweden
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=0036919948&partnerID=8YFLogxKen
dc.identifier.urlhttp://www.press.uchicago.edu/ucp/journals/journal/an.htmlen
dc.identifier.urlhttp://www.jstor.org/stable/10.1086/342902en


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