Haplotype diversity of VvTFL1A gene and association with cluster traits ingrapevine (V. vinifera) View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-12

AUTHORS

Lucie Fernandez, Loïc Le Cunff, Javier Tello, Thierry Lacombe, Jean Michel Boursiquot, Alexandre Fournier-Level, Gema Bravo, Sandrine Lalet, Laurent Torregrosa, Patrice This, José Miguel Martinez-Zapater

ABSTRACT

BACKGROUND: Interaction between TERMINAL FLOWER 1 (TFL1) and LEAFY (LFY) seem to determine the inflorescence architecture in Arabidopsis. In a parallel way, overexpression of VvTFL1A, a grapevine TFL1 homolog, causes delayed flowering and production of a ramose cluster in the reiterated reproductive meristem (RRM) somatic variant of cultivar Carignan. To analyze the possible contribution of this gene to cluster phenotypic variation in a diversity panel of cultivated grapevine (Vitis vinifera L. subsp. vinifera) its nucleotide diversity was characterized and association analyses among detected sequence polymorphisms and phenology and cluster traits was carried out. RESULTS: A total of 3.6 kb of the VvTFL1A gene, including its promoter, was sequenced in a core collection of 140 individuals designed to maximize phenotypic variation at agronomical relevant traits. Nucleotide variation for VvTFL1A within this collection was higher in the promoter and intron sequences than in the exon regions; where few polymorphisms were located in agreement with a high conservation of coding sequence. Characterization of the VvTFL1A haplotype network identified three major haplogroups, consistent with the geographic origins and the use of the cultivars that could correspond to three major ancestral alleles or evolutionary branches, based on the existence of mutations in linkage disequilibrium. Genetic association studies with cluster traits revealed the presence of major INDEL polymorphisms, explaining 16%, 13% and 25% of flowering time, cluster width and berry weight, respectively, and also structuring the three haplogroups. CONCLUSIONS: At least three major VvTFL1A haplogroups are present in cultivated grapevines, which are defined by the presence of three main polymorphism LD blocks and associated to characteristic phenotypic values for flowering time, cluster width and berry size. Phenotypic differences between haplogroups are consistent with differences observed between Eastern and Western grapevine cultivars and could result from the use of different genetic pools in the domestication process as well as different selection pressures on the development of table and wine cultivars, respectively. Altogether, these results are coherent with previous classifications of grapevine phenotypic diversity mainly based on cluster and berry morphotypes as well as with recent results on the structure of genetic diversity in cultivated grapevine. More... »

PAGES

209

References to SciGraph publications

  • 2010-04. Evolution of the VvMybA gene family, the major determinant of berry colour in cultivated grapevine (Vitis vinifera L.) in HEREDITY
  • 1996-06. Neolithic resinated wine in NATURE
  • 1992-02. Analyzing the mosaic structure of genes in JOURNAL OF MOLECULAR EVOLUTION
  • 2007-09. The grapevine genome sequence suggests ancestral hexaploidization in major angiosperm phyla in NATURE
  • 2004-09. Mapping 245 SSR markers on the Vitis vinifera genome: a tool for grape genetics in THEORETICAL AND APPLIED GENETICS
  • 1998-10. A genetic framework for floral patterning in NATURE
  • 2001-07. Dwarf8 polymorphisms associate with variation in flowering time in NATURE GENETICS
  • 2013-02. Large-scale parentage analysis in an extended set of grapevine cultivars (Vitis vinifera L.) in THEORETICAL AND APPLIED GENETICS
  • 2012-07. An efficient multi-locus mixed-model approach for genome-wide association studies in structured populations in NATURE GENETICS
  • 2013-12. Genetic structure in cultivated grapevines is linked to geography and human selection in BMC PLANT BIOLOGY
  • 2013-12. Genetic diversity and population structure assessed by SSR and SNP markers in a large germplasm collection of grape in BMC PLANT BIOLOGY
  • 2006-02. A unified mixed-model method for association mapping that accounts for multiple levels of relatedness in NATURE GENETICS
  • 2006-02. Linkage disequilibrium in cultivated grapevine, Vitis vinifera L in THEORETICAL AND APPLIED GENETICS
  • 2011-04. High throughput analysis of grape genetic diversity as a tool for germplasm collection management in THEORETICAL AND APPLIED GENETICS
  • 2007-03. The FT/TFL1 gene family in grapevine in PLANT MOLECULAR BIOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s12870-014-0209-3

    DOI

    http://dx.doi.org/10.1186/s12870-014-0209-3

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1003439139

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/25091083


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