Microsatellite Data Analysis for Population Genetics

dc.contributor.author Kim, Kyung
dc.contributor.author Sappington, Thomas
dc.contributor.author Sappington, Thomas
dc.contributor.department Entomology
dc.date 2018-05-03T04:34:36.000
dc.date.accessioned 2020-06-30T02:24:36Z
dc.date.available 2020-06-30T02:24:36Z
dc.date.issued 2013-01-01
dc.description.abstract <p>Theories and analytical tools of population genetics have been widely applied for addressing various questions in the fields of ecological genetics, conservation biology, and any context where the role of dispersal or gene flow is important. Underlying much of population genetics is the analysis of variation at selectively neutral marker loci, and microsatellites continue to be a popular choice of marker. In recent decades, software programs to estimate population genetics parameters have been developed at an increasing pace as computational science and theoretical knowledge advance. Numerous population genetics software programs are presently available to analyze microsatellite genotype data, but only a handful are commonly employed for calculating parameters such as genetic variation, genetic structure, patterns of spatial and temporal gene flow, population demography, individual population assignment, and genetic relationships within and between populations. In this chapter, we introduce statistical analyses and relevant population genetic software programs that are commonly employed in the field of population genetics and molecular ecology.</p>
dc.description.comments <p>This is a chapter from Kim, Kyung Seok, and Thomas W. Sappington. "Microsatellite data analysis for population genetics." In Microsatellites, pp. 271-295. Humana Press, Totowa, NJ, 2013. doi: <a href="https://doi.org/10.1007/978-1-62703-389-3_19" target="_blank" title="Microsatellite Data Analysis for Population Genetics">10.1007/978-1-62703-389-3_19</a>. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/ent_pubs/485/
dc.identifier.articleid 1483
dc.identifier.contextkey 12021297
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath ent_pubs/485
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/24115
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/ent_pubs/485/2013_Sappington_MicrosatelliteData.pdf|||Sat Jan 15 00:28:18 UTC 2022
dc.source.uri 10.1007/978-1-62703-389-3_19
dc.subject.disciplines Ecology and Evolutionary Biology
dc.subject.disciplines Entomology
dc.subject.disciplines Genetics
dc.subject.disciplines Molecular Genetics
dc.subject.disciplines Population Biology
dc.subject.keywords Population genetics
dc.subject.keywords Genetics software
dc.subject.keywords Genetic variation
dc.subject.keywords Genetic structure
dc.subject.keywords Gene flow
dc.subject.keywords Microsatellites
dc.title Microsatellite Data Analysis for Population Genetics
dc.type article
dc.type.genre book_chapter
dspace.entity.type Publication
relation.isAuthorOfPublication 0a849144-1b0a-4a0a-bad1-f467faef240f
relation.isOrgUnitOfPublication f47c8cad-50be-4fb0-8870-902ff536748c
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