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Targeted resequencing of coding DNA sequences for SNP discovery in nonmodel species.
Förster, Daniel W; Bull, James K; Lenz, Dorina; Autenrieth, Marijke; Paijmans, Johanna L A; Kraus, Robert H S; Nowak, Carsten; Bayerl, Helmut; Kuehn, Ralph; Saveljev, Alexander P; Sindicic, Magda; Hofreiter, Michael; Schmidt, Krzysztof; Fickel, Jörns.
Afiliação
  • Förster DW; Department of Evolutionary Genetics, Leibniz Institute for Zoo and Wildlife Research, Berlin, Germany.
  • Bull JK; Department of Evolutionary Genetics, Leibniz Institute for Zoo and Wildlife Research, Berlin, Germany.
  • Lenz D; Department of Evolutionary Genetics, Leibniz Institute for Zoo and Wildlife Research, Berlin, Germany.
  • Autenrieth M; Department of Evolutionary Genetics, Leibniz Institute for Zoo and Wildlife Research, Berlin, Germany.
  • Paijmans JLA; Institute for Biochemistry and Biology, University of Potsdam, Potsdam, Germany.
  • Kraus RHS; Institute for Biochemistry and Biology, University of Potsdam, Potsdam, Germany.
  • Nowak C; Department of Biology, University of Konstanz, Konstanz, Germany.
  • Bayerl H; Department of Migration and Immuno-Ecology, Max Planck Institute for Ornithology, Radolfzell, Germany.
  • Kuehn R; Conservation Genetics Group, Senckenberg Research Institute and Natural History Museum Frankfurt, Gelnhausen, Germany.
  • Saveljev AP; Unit of Molecular Zoology, Chair of Zoology, Department of Animal Science, Technical University of Munich, Freising, Germany.
  • Sindicic M; Unit of Molecular Zoology, Chair of Zoology, Department of Animal Science, Technical University of Munich, Freising, Germany.
  • Hofreiter M; Department of Fish, Wildlife and Conservation Ecology, New Mexico State University, Las Cruces, New Mexico.
  • Schmidt K; Department of Animal Ecology, Russian Research Institute of Game Management and Fur Farming, Kirov, Russia.
  • Fickel J; Faculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia.
Mol Ecol Resour ; 18(6): 1356-1373, 2018 Nov.
Article em En | MEDLINE | ID: mdl-29978939
ABSTRACT
Targeted capture coupled with high-throughput sequencing can be used to gain information about nuclear sequence variation at hundreds to thousands of loci. Divergent reference capture makes use of molecular data of one species to enrich target loci in other (related) species. This is particularly valuable for nonmodel organisms, for which often no a priori knowledge exists regarding these loci. Here, we have used targeted capture to obtain data for 809 nuclear coding DNA sequences (CDS) in a nonmodel organism, the Eurasian lynx Lynx lynx, using baits designed with the help of the published genome of a related model organism (the domestic cat Felis catus). Using this approach, we were able to survey intraspecific variation at hundreds of nuclear loci in L. lynx across the species' European range. A large set of biallelic candidate SNPs was then evaluated using a high-throughput SNP genotyping platform (Fluidigm), which we then reduced to a final 96 SNP-panel based on assay performance and reliability; validation was carried out with 100 additional Eurasian lynx samples not included in the SNP discovery phase. The 96 SNP-panel developed from CDS performed very successfully in the identification of individuals and in population genetic structure inference (including the assignment of individuals to their source population). In keeping with recent studies, our results show that genic SNPs can be valuable for genetic monitoring of wildlife species.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise de Sequência de DNA / Biologia Computacional / Polimorfismo de Nucleotídeo Único / Lynx / Técnicas de Genotipagem Limite: Animals Idioma: En Revista: Mol Ecol Resour Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Análise de Sequência de DNA / Biologia Computacional / Polimorfismo de Nucleotídeo Único / Lynx / Técnicas de Genotipagem Limite: Animals Idioma: En Revista: Mol Ecol Resour Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Alemanha
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