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  • 1.
    Baison, John
    et al.
    SLU Swedish University of Agricultural Science, Sweden.
    Vidalis, Amaryllis
    Technische Universität München, Germany.
    Zhou, Linghua
    SLU Swedish University of Agricultural Science, Sweden.
    Chen, Zhi-Qiang
    SLU Swedish University of Agricultural Science, Sweden.
    Li, Zitong
    University of Helsinki, Finland.
    Sillanpää, Mikko J
    University of Oulu, Finland.
    Bernhardsson, Carolina
    SLU Swedish University of Agricultural Science, Sweden.
    Scofield, Douglas
    Uppsala University, Sweden.
    Forsberg, Nils
    SLU Swedish University of Agricultural Science, Sweden.
    Grahn, Thomas
    RISE - Research Institutes of Sweden, Bioeconomy, Papermaking and Packaging.
    Olsson, Lars
    RISE - Research Institutes of Sweden, Bioeconomy, Papermaking and Packaging.
    Karlsson, Bo
    Skogforsk, Sweden.
    Wu, Harry
    SLU Swedish University of Agricultural Science, Sweden.
    Ingvarsson, Pär K
    Umeå University, Sweden.
    Lundqvist, Sven-Olof
    RISE - Research Institutes of Sweden, Bioeconomy, Papermaking and Packaging. IIC, Sweden.
    Niittylä, Totte
    SLU Swedish University of Agricultural Science, Sweden.
    Garcia-Gil, M Rosario
    SLU Swedish University of Agricultural Science, Sweden.
    Genome-Wide Association Study (GWAS) identified novel candidate loci affecting wood formation in Norway spruce2019In: The Plant Journal, ISSN 0960-7412, E-ISSN 1365-313X, Vol. 100, no 1, p. 83-100Article in journal (Refereed)
    Abstract [en]

    Norway spruce is a boreal forest tree species of significant ecological and economic importance. Hence there is a strong imperative to dissect the genetics underlying important wood quality traits in the species. We performed a functional Genome-Wide Association Study (GWAS) of 17 wood traits in Norway spruce using 178101 single-nucleotide polymorphisms (SNPs) generated from exome genotyping of 517 mother trees. The wood traits were defined using functional modelling of wood properties across annual growth rings.We applied a LASSO based association mapping method using a functional multi-locus mapping approach that utilizes latent traits, with a stability selection probability method as the hypothesis testing approach to determine significant Quantitative Trait Loci (QTLs). The analysis provided 52 significant SNPs from 39 candidate genes, including genes previously implicated in wood formation and tree growth in spruce and other species. Our study represents a multi-locus GWAS for complex wood traits in Norway spruce. The results advance our understanding of the genetics influencing wood traits and identifies candidate genes for future functional studies.

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