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Baison, John; Vidalis, Amaryllis; Zhou, Linghua; Chen, Zhi‐Qiang; Li, Zitong; Sillanpää, Mikko J.; Bernhardsson, Carolina; Scofield, Douglas; Forsberg, Nils; Grahn, Thomas; Olsson, Lars; Karlsson, Bo; Wu, Harry; Ingvarsson, Pär K.; Lundqvist, Sven‐Olof; Niittylä, Totte; García‐Gil, M Rosario

Genome‐wide association study identified novel candidate loci affecting wood formation in Norway spruce

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  • Media type: E-Article
  • Title: Genome‐wide association study identified novel candidate loci affecting wood formation in Norway spruce
  • Contributor: Baison, John; Vidalis, Amaryllis; Zhou, Linghua; Chen, Zhi‐Qiang; Li, Zitong; Sillanpää, Mikko J.; Bernhardsson, Carolina; Scofield, Douglas; Forsberg, Nils; Grahn, Thomas; Olsson, Lars; Karlsson, Bo; Wu, Harry; Ingvarsson, Pär K.; Lundqvist, Sven‐Olof; Niittylä, Totte; García‐Gil, M Rosario
  • Published: Wiley, 2019
  • Published in: The Plant Journal, 100 (2019) 1, Seite 83-100
  • Language: English
  • DOI: 10.1111/tpj.14429
  • ISSN: 1365-313X; 0960-7412
  • Origination:
  • University thesis:
  • Footnote:
  • Description: <jats:title>Summary</jats:title><jats:p>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 (<jats:styled-content style="fixed-case">GWAS</jats:styled-content>) of 17 wood traits in Norway spruce using 178 101 single nucleotide polymorphisms (<jats:styled-content style="fixed-case">SNP</jats:styled-content>s) 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 <jats:styled-content style="fixed-case"> Least Absolute Shrinkage and Selection Operator (LASSO‐based</jats:styled-content>) association mapping method using a functional multilocus mapping approach that utilizes latent traits, with a stability selection probability method as the hypothesis testing approach to determine a significant quantitative trait locus. The analysis provided 52 significant <jats:styled-content style="fixed-case">SNP</jats:styled-content>s from 39 candidate genes, including genes previously implicated in wood formation and tree growth in spruce and other species. Our study represents a multilocus <jats:styled-content style="fixed-case">GWAS</jats:styled-content> 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.</jats:p>
  • Access State: Open Access