Association mapping identified novel candidate loci affecting wood formation in Norway spruce
John BaisoniD, Amaryllis VidalisiD, Linghua ZhouiD, Zhiqiang CheniD, Zitong LiiD, Mikko J. SillanpääiD, Carolina BernhardssoniD, Douglas G. ScofieldiD, Nils Forsberg, Thomas GrahniD, Lars OlssoniD, Bo KarlssoniD, Harry X. WuiD, Pär K. IngvarssoniD, Sven‐Olof LundqvistiD, Totte NiittyläiD, María Rosario García‐GiliD
Abstract
[tpltrtarr] Norway spruce (Picea abies) is an important boreal forest tree species of significant ecological and economic importance. Hence there is a strong imperative to dissect the genetics controlling important wood quality traits in the species.\n[tpltrtarr]We performed a functional genome-wide association mapping 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.\n[tpltrtarr]Association mapping was performed using a multilocus LASSO penalized regression method and we detected a total of 51 significant SNPs from 39 candidate genes that are involved in wood formation.\n[tpltrtarr]Our study represents the first functional multi-locus genome-wide association mapping (AM) in Norway spruce. The results advance our understanding of the genetics influencing wood traits, identify novel candidate genes for further functional studies and support current Norway spruce breeding efforts.
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