Tree Genetics & Genomes

, Volume 2, Issue 1, pp 10–24

QTLs and candidate genes for wood properties in maritime pine (Pinus pinaster Ait.)

  • David Pot
  • Jose-Carlos Rodrigues
  • Philippe Rozenberg
  • Guillaume Chantre
  • Josquin Tibbits
  • Christine Cahalan
  • Frédérique Pichavant
  • Christophe Plomion
Original Paper

DOI: 10.1007/s11295-005-0026-9

Cite this article as:
Pot, D., Rodrigues, J., Rozenberg, P. et al. Tree Genetics & Genomes (2006) 2: 10. doi:10.1007/s11295-005-0026-9

Abstract

A three-generation outbred pedigree of 186 individuals was used to identify the genomic regions involved in the variability of chemical and physical wood properties of Pinus pinaster. A total of 54 quantitative trait loci (QTLs) was detected, with an average of 2.4 QTLs per trait. Clusters of wood properties QTLs were found at several points in the genome, suggesting the existence of pleiotropic effects of a limited number of genes. The co-localizations observed in this study are in accordance with the genetic correlations previously reported in the literature. In addition, in an attempt to identify the genes underlying the QTLs, nine wood quality candidate genes involved in cell wall structure were localized on the genetic map. Only one of them, Korrigan, a gene encoding for a β 1-4 endo-glucanase known in Arabidopis thaliana to be involved in polysaccharide biosynthesis, co-localized with a wood quality QTL cluster involved in hemicellulose content and fibre characteristics. This finding is in accordance with results previously reported for this gene regarding its expression variability (transcriptome and proteome levels) and patterns of molecular evolution. The pertinence of this result will be tested in more rigorous designs in order to identify early selection predictors for wood quality.

Keywords

Wood qualityQTLCandidate geneKorriganPinus pinaster

Copyright information

© Springer-Verlag 2006

Authors and Affiliations

  • David Pot
    • 1
    • 2
  • Jose-Carlos Rodrigues
    • 3
  • Philippe Rozenberg
    • 4
  • Guillaume Chantre
    • 5
  • Josquin Tibbits
    • 6
  • Christine Cahalan
    • 7
  • Frédérique Pichavant
    • 8
  • Christophe Plomion
    • 1
  1. 1.UMR 1202 BIOGECO, INRAEquipe de GénétiqueCestasFrance
  2. 2.UMR 1096 PIA, CIRADMontpellierFrance
  3. 3.Instituto Investigaçao Cientifica TropicalLisbonPortugal
  4. 4.INRA, Unité d’AméliorationGénétique et Physiologie ForestièresOlivetFrance
  5. 5.AFOCEL, Station Territoriale Sud Ouest Domaine de SivaillanMoulis en MédocFrance
  6. 6.Forest Science CentreThe University of MelbourneCreswickAustralia
  7. 7.School of Agricultural and Forest SciencesUniversity of WalesBangorUK
  8. 8.Institut du PinUniversité de Bordeaux 1TalenceFrance