title: Quantitative genetic bases of anthocyanin variation in grape (Vitis vinifera L. ssp. sativa) berry: a quantitative trait locus to quantitative trait nucleotide integrated study.
abstract: The combination of QTL mapping studies of synthetic lines and association mapping studies of natural diversity represents an opportunity to throw light on the genetically based variation of quantitative traits. With the positional information provided through quantitative trait locus (QTL) mapping, which often leads to wide intervals encompassing numerous genes, it is now feasible to directly target candidate genes that are likely to be responsible for the observed variation in completely sequenced genomes and to test their effects through association genetics. This approach was performed in grape, a newly sequenced genome, to decipher the genetic architecture of anthocyanin content. Grapes may be either white or colored, ranging from the lightest pink to the darkest purple tones according to the amount of anthocyanin accumulated in the berry skin, which is a crucial trait for both wine quality and human nutrition. Although the determinism of the white phenotype has been fully identified, the genetic bases of the quantitative variation of anthocyanin content in berry skin remain unclear. A single QTL responsible for up to 62% of the variation in the anthocyanin content was mapped on a Syrah x Grenache F(1) pseudo-testcross. Among the 68 unigenes identified in the grape genome within the QTL interval, a cluster of four Myb-type genes was selected on the basis of physiological evidence (VvMybA1, VvMybA2, VvMybA3, and VvMybA4). From a core collection of natural resources (141 individuals), 32 polymorphisms revealed significant association, and extended linkage disequilibrium was observed. Using a multivariate regression method, we demonstrated that five polymorphisms in VvMybA genes except VvMybA4 (one retrotransposon, three single nucleotide polymorphisms and one 2-bp insertion/deletion) accounted for 84% of the observed variation. All these polymorphisms led to either structural changes in the MYB proteins or differences in the VvMybAs promoters. We concluded that the continuous variation in anthocyanin content in grape was explained mainly by a single gene cluster of three VvMybA genes. The use of natural diversity helped to reduce one QTL to a set of five quantitative trait nucleotides and gave a clear picture of how isogenes combined their effects to shape grape color. Such analysis also illustrates how isogenes combine their effect to shape a complex quantitative trait and enables the definition of markers directly targeted for upcoming breeding programs.
authors.affiliation: Institut National de la Recherche Agronomique (INRA) Unité Mixte de Recherche (UMR) 1097 Diversité et Adaptation des Plantes Cultivées, F-34060 Montpellier, France.
authors.forename: Alexandre
authors.initials: A
authors.lastname: Fournier-Level
authors.forename: Loïc
authors.initials: L
authors.lastname: Le Cunff
authors.forename: Camila
authors.initials: C
authors.lastname: Gomez
authors.forename: Agnès
authors.initials: A
authors.lastname: Doligez
authors.forename: Agnès
authors.initials: A
authors.lastname: Ageorges
authors.forename: Catherine
authors.initials: C
authors.lastname: Roux
authors.forename: Yves
authors.initials: Y
authors.lastname: Bertrand
authors.forename: Jean-Marc
authors.initials: JM
authors.lastname: Souquet
authors.forename: Véronique
authors.initials: V
authors.lastname: Cheynier
authors.forename: Patrice
authors.initials: P
authors.lastname: This
mesh_terms: D000872:Anthocyanins / Q000378:metabolism*; D002874:Chromosome Mapping; D005638:Fruit / Q000235:genetics* / Q000378:metabolism; D017343:Genes, Plant / Q000235:genetics; D014644:Genetic Variation; D018745:Genome, Plant / Q000235:genetics; D055106:Genome-Wide Association Study; D005838:Genotype; D006239:Haplotypes; D015810:Linkage Disequilibrium; D015999:Multivariate Analysis; D010641:Phenotype; D020641:Polymorphism, Single Nucleotide; D040641:Quantitative Trait Loci / Q000235:genetics*; D012044:Regression Analysis; D027843:Vitis / Q000235:genetics* / Q000378:metabolism; D014920:Wine / Q000592:standards
chemical_list: D000872:Anthocyanins