BeaulieuDoerksenBoyleEtAl2011
Référence
Beaulieu, J., Doerksen, T., Boyle, B., Clement, S., Deslauriers, M., Beauseigle, S., Blais, S., Poulin, P.-L., Lenz, P., Caron, S., Rigault, P., Bicho, P., Bousquet, J., MacKay, J. (2011) Association genetics of wood physical traits in the conifer white spruce and relationships with gene expression. Genetics, 188(1):197-214. (Scopus 
)
Résumé
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. © 2011 by the Genetics Society of America.
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@ARTICLE { BeaulieuDoerksenBoyleEtAl2011,
AUTHOR = { Beaulieu, J. and Doerksen, T. and Boyle, B. and Clement, S. and Deslauriers, M. and Beauseigle, S. and Blais, S. and Poulin, P.-L. and Lenz, P. and Caron, S. and Rigault, P. and Bicho, P. and Bousquet, J. and MacKay, J. },
TITLE = { Association genetics of wood physical traits in the conifer white spruce and relationships with gene expression },
JOURNAL = { Genetics },
YEAR = { 2011 },
VOLUME = { 188 },
PAGES = { 197-214 },
NUMBER = { 1 },
ABSTRACT = { 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. © 2011 by the Genetics Society of America. },
COMMENT = { Export Date: 2 June 2011 Source: Scopus CODEN: GENTA doi: 10.1534/genetics.110.125781 },
ISSN = { 00166731 (ISSN) },
OWNER = { Luc },
TIMESTAMP = { 2011.06.02 },
URL = { http://www.scopus.com/inward/record.url?eid=2-s2.0-79955930975&partnerID=40&md5=47da4a642f841ae79a7074474ce5f9de },
}
