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This article is part of the supplement: IUFRO Tree Biotechnology Conference 2011: From Genomes to Integration and Delivery

Open Access Oral presentation

Functional variability of two lignification genes in Eucalyptus urophylla

Eric Mandrou1, Frédéric Mortier2, Marie Denis2, Gilles Chaix2, Emilie Villar3, Christophe Plomion4 and Jean-Marc Gion2*

Author Affiliations

1 INRA-CIRAD, France

2 CIRAD, France

3 CIRAD-INRA, France

4 INRA, France

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BMC Proceedings 2011, 5(Suppl 7):O12  doi:10.1186/1753-6561-5-S7-O12


The electronic version of this article is the complete one and can be found online at: http://www.biomedcentral.com/1753-6561/5/S7/O12


Published:13 September 2011

© 2011 Mandrou et al; licensee BioMed Central Ltd.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Oral presentation

Lignin quantity and composition are major components of wood quality in eucalypts breeding programs. Optimizing these traits can have a huge economical impact for charcoal and pulp production. However, little is known about the genetic determinism of these traits. Our objective is to establish efficient early selection criteria to identify ideotypes for these traits using gene based markers. To reach this goal, we first estimated genetic parameters for lignin quantity and composition using a factorial design comprising 16 founders and 328 progenies of E. urophylla. We found high heritability for both Klason Lignin (h²=0.85) and Syringyl to Guaiacyl ratio (S/G: h²=0.62). Then, nucleotide and haplotype diversities were described for two linked genes involved in the lignification process (CCR and ROP1). High levels of nucleotide diversity and rapid decay of linkage disequilibrium were observed in a sample of 16 trees. A SNP by SNP association mapping was carried out in the 328 progenies using a mixed linear model (available in Tassel). A total of 4 SNP (3 in CCR and one in ROP1) were significantly associated with S/G ratio explaining between 1 and 1.8% of the trait variation. Finally, the additive effects of haplotypes (defined by all SNPs) were estimated using a Bayesian approach of the mixed model including the pedigree (MCMCglmm package available in R software). This analysis confirmed the existence of two distinct additive effects for CCR and ROP1 on S/G ratio, suggesting the existence of two S/G QTLs for these two linked genes in E. urophylla.