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• W2161766669 abstract "Abstract High‐density SNP genotyping arrays can be designed for any species given sufficient sequence information of high quality. Two high‐density SNP arrays relying on the Infinium iS elect technology (Illumina) were designed for use in the conifer white spruce ( P icea glauca ). One array contained 7338 segregating SNP s representative of 2814 genes of various molecular functional classes for main uses in genetic association and population genetics studies. The other one contained 9559 segregating SNP s representative of 9543 genes for main uses in population genetics, linkage mapping of the genome and genomic prediction. The SNP s assayed were discovered from various sources of gene resequencing data. SNP s predicted from high‐quality sequences derived from genomic DNA reached a genotyping success rate of 64.7%. Nonsingleton i n silico SNP s (i.e. a sequence polymorphism present in at least two reads) predicted from expressed sequenced tags obtained with the Roche 454 technology and Illumina GAII analyser resulted in a similar genotyping success rate of 71.6% when the deepest alignment was used and the most favourable SNP probe per gene was selected. A variable proportion of these SNP s was shared by other nordic and subtropical spruce species from North America and Europe. The number of shared SNPs was inversely proportional to phylogenetic divergence and standing genetic variation in the recipient species, but positively related to allele frequency in P . glauca natural populations. These validated SNP resources should open up new avenues for population genetics and comparative genetic mapping at a genomic scale in spruce species." @default.
• W2161766669 created "2016-06-24" @default.
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• W2161766669 date "2013-01-25" @default.
• W2161766669 modified "2023-10-15" @default.
• W2161766669 title "Development of high‐density <scp>SNP</scp> genotyping arrays for white spruce ( <i> <scp>P</scp> icea glauca </i> ) and transferability to subtropical and nordic congeners" @default.
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• W2161766669 doi "https://doi.org/10.1111/1755-0998.12062" @default.
• W2161766669 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/23351128" @default.
• W2161766669 hasPublicationYear "2013" @default.
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