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dc.contributor.authorLemopoulos, Alexandre
dc.contributor.authorProkkola, Jenni M.
dc.contributor.authorUusi-Heikkilä, Silva
dc.contributor.authorVasemägi, Anti
dc.contributor.authorHuusko, Ari
dc.contributor.authorHyvärinen, Pekka
dc.contributor.authorKoljonen, Marja-Liisa
dc.contributor.authorKoskiniemi, Jarmo
dc.contributor.authorVainikka, Anssi
dc.date.accessioned2019-03-18T11:14:27Z
dc.date.available2019-03-18T11:14:27Z
dc.date.issued2019fi
dc.identifier.citationLemopoulos, A., Prokkola, J. M., Uusi-Heikkilä, S., Vasemägi, A., Huusko, A., Hyvärinen, P., . . . Vainikka, A. (2019). Comparing RADseq and microsatellites for estimating genetic diversity and relatedness : Implications for brown trout conservation. <em>Nature Ecology and Evolution</em>, 9 (4), 2106-2120. <a href="https://doi.org/10.1002/ece3.4905">doi:10.1002/ece3.4905</a>fi
dc.identifier.otherTUTKAID_80573
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/63193
dc.description.abstractThe conservation and management of endangered species requires information on their genetic diversity, relatedness and population structure. The main genetic markers applied for these questions are microsatellites and single nucleotide polymorphisms (SNPs), the latter of which remain the more resource demanding approach in most cases. Here, we compare the performance of two approaches, SNPs obtained by restriction‐site‐associated DNA sequencing (RADseq) and 16 DNA microsatellite loci, for estimating genetic diversity, relatedness and genetic differentiation of three, small, geographically close wild brown trout (Salmo trutta) populations and a regionally used hatchery strain. The genetic differentiation, quantified as FST, was similar when measured using 16 microsatellites and 4,876 SNPs. Based on both marker types, each brown trout population represented a distinct gene pool with a low level of interbreeding. Analysis of SNPs identified half‐ and full‐siblings with a higher probability than the analysis based on microsatellites, and SNPs outperformed microsatellites in estimating individual‐level multilocus heterozygosity. Overall, the results indicated that moderately polymorphic microsatellites and SNPs from RADseq agreed on estimates of population genetic structure in moderately diverged, small populations, but RADseq outperformed microsatellites for applications that required individual‐level genotype information, such as quantifying relatedness and individual‐level heterozygosity. The results can be applied to other small populations with low or moderate levels of genetic diversity.fi
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherJohn Wiley & Sons Ltd.
dc.relation.ispartofseriesEcology and Evolution
dc.rightsCC BY 4.0
dc.subject.otherpopulaatiogenetiikkafi
dc.subject.othergeneettinen monimuotoisuusfi
dc.subject.otherDNA-analyysifi
dc.subject.otherkalanviljelyfi
dc.subject.othertaimenfi
dc.subject.otherddRADseqfi
dc.subject.otherfisheriesfi
dc.subject.otherpopulation geneticsfi
dc.subject.otherrelatednessfi
dc.subject.othersalmonidsfi
dc.titleComparing RADseq and microsatellites for estimating genetic diversity and relatedness : Implications for brown trout conservationfi
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201903131857
dc.contributor.laitosBio- ja ympäristötieteiden laitosfi
dc.contributor.laitosThe Department of Biological and Environmental Scienceen
dc.contributor.oppiaineAkvaattiset tieteet
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2019-03-13T16:15:11Z
dc.description.reviewstatuspeerReviewed
dc.format.pagerange2106-2120
dc.relation.issn2045-7758
dc.relation.numberinseries4
dc.relation.volume9
dc.type.versionpublishedVersion
dc.rights.copyright© 2019 The Authors.
dc.rights.accesslevelopenAccessfi
dc.format.contentfulltext
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1002/ece3.4905


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