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Association genetics of wood physical traits in the conifer white spruce and relationships with gene expression

Genetics (Austin), 2011-05, Vol.188 (1), p.197-214 [Peer Reviewed Journal]

Copyright Genetics Society of America May 2011 ;Copyright © 2011 by the Genetics Society of America 2011 ;ISSN: 1943-2631 ;ISSN: 0016-6731 ;EISSN: 1943-2631 ;DOI: 10.1534/genetics.110.125781 ;PMID: 21385726 ;CODEN: GENTAE

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Title:
Association genetics of wood physical traits in the conifer white spruce and relationships with gene expression
Author: Beaulieu, Jean ; Doerksen, Trevor ; Boyle, Brian ; Clément, Sébastien ; Deslauriers, Marie ; Beauseigle, Stéphanie ; Blais, Sylvie ; Poulin, Pier-Luc ; Lenz, Patrick ; Caron, Sébastien ; Rigault, Philippe ; Bicho, Paul ; Bousquet, Jean ; Mackay, John
Subjects: Cluster Analysis ; Gene Expression Profiling ; Gene Expression Regulation, Plant ; Genes, Plant - genetics ; Genetic Association Studies ; Genomes ; Genomics ; Genotype ; Investigations ; Limited partnerships ; Linkage Disequilibrium - genetics ; Picea - genetics ; Polymorphism, Single Nucleotide - genetics ; Population Dynamics ; Quantitative genetics ; Quantitative Trait, Heritable ; R&D ; Research & development ; RNA, Messenger - genetics ; RNA, Messenger - metabolism ; Studies ; Trees ; Wood - genetics
Is Part Of: Genetics (Austin), 2011-05, Vol.188 (1), p.197-214
Description: Marker-assisted selection holds promise for highly influencing tree breeding, especially for wood traits, by considerably reducing breeding cycles and increasing selection accuracy. In this study, we used a candidate gene approach to test for associations between 944 single-nucleotide polymorphism markers from 549 candidate genes and 25 wood quality traits in white spruce. A mixed-linear model approach, including a weak but nonsignificant population structure, was implemented for each marker-trait combination. Relatedness among individuals was controlled using a kinship matrix estimated either from the known half-sib structure or from the markers. Both additive and dominance effect models were tested. Between 8 and 21 single-nucleotide polymorphisms (SNPs) were found to be significantly associated (P ≤ 0.01) with each of earlywood, latewood, or total wood traits. After controlling for multiple testing (Q ≤ 0.10), 13 SNPs were still significant across as many genes belonging to different families, each accounting for between 3 and 5% of the phenotypic variance in 10 wood characters. Transcript accumulation was determined for genes containing SNPs associated with these traits. Significantly different transcript levels (P ≤ 0.05) were found among the SNP genotypes of a 1-aminocyclopropane-1-carboxylate oxidase, a β-tonoplast intrinsic protein, and a long-chain acyl-CoA synthetase 9. These results should contribute toward the development of efficient marker-assisted selection in an economically important tree species.
Publisher: United States: Genetics Society of America
Language: English
Identifier: ISSN: 1943-2631
ISSN: 0016-6731
EISSN: 1943-2631
DOI: 10.1534/genetics.110.125781
PMID: 21385726
CODEN: GENTAE
Source: MEDLINE
Alma/SFX Local Collection
ProQuest Central

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Association genetics of wood physical traits in the conifer white spruce and relationships with gene expression

Copyright Genetics Society of America May 2011 ;Copyright © 2011 by the Genetics Society of America 2011 ;ISSN: 1943-2631 ;ISSN: 0016-6731 ;EISSN: 1943-2631 ;DOI: 10.1534/genetics.110.125781 ;PMID: 21385726 ;CODEN: GENTAE

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