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Characterization of genes and alleles involved in the control of flowering time in grapevine

Zugehörigkeit
Bielefeld University, Faculty of Biology & Center for Biotechnology, Bielefeld, Germany.
Kamal, Nadia;
GND
1173634061
Zugehörigkeit
Julius Kühn-Institute (JKI), Institute for Grapevine Breeding Geilweilerhof, Siebeldingen, Germany.
Ochßner, Iris;
GND
1172679118
Zugehörigkeit
Julius Kühn-Institute (JKI), Institute for Grapevine Breeding Geilweilerhof, Siebeldingen, Germany.
Schwandner, Anna;
Zugehörigkeit
Bielefeld University, Faculty of Biology & Center for Biotechnology, Bielefeld, Germany.
Viehöver, Prisca;
GND
172910692
Zugehörigkeit
Julius Kühn-Institute (JKI), Institute for Grapevine Breeding Geilweilerhof, Siebeldingen, Germany.
Hausmann, Ludger;
GND
1059151928
Zugehörigkeit
Julius Kühn-Institute (JKI), Institute for Grapevine Breeding Geilweilerhof, Siebeldingen, Germany.
Töpfer, Reinhard;
ORCID
0000-0002-7635-3473
Zugehörigkeit
Bielefeld University, Faculty of Biology & Center for Biotechnology, Bielefeld, Germany.
Weisshaar, Bernd;
ORCID
0000-0002-1062-4576
Zugehörigkeit
Bielefeld University, Faculty of Biology & Center for Biotechnology, Bielefeld, Germany.
Holtgräwe, Daniela

Grapevine (Vitis vinifera) is one of the most important perennial crop plants in worldwide. Understanding of developmental processes like flowering, which impact quality and quantity of yield in this species is therefore of high interest. This gets even more important when considering some of the expected consequences of climate change. Earlier bud burst and flowering, for example, may result in yield loss due to spring frost. Berry ripening under higher temperatures will impact wine quality. Knowledge of interactions between a genotype or allele combination and the environment can be used for the breeding of genotypes that are better adapted to new climatic conditions. To this end, we have generated a list of more than 500 candidate genes that may play a role in the timing of flowering. The grapevine genome was exploited for flowering time control gene homologs on the basis of functional data from model organisms like A. thaliana. In a previous study, a mapping population derived from early flowering GF.GA-47-42 and late flowering 'Villard Blanc' was analyzed for flowering time QTLs. In a second step we have now established a workflow combining amplicon sequencing and bioinformatics to follow alleles of selected candidate genes in the F1 individuals and the parental genotypes. Allele combinations of these genes in individuals of the mapping population were correlated with early or late flowering phenotypes. Specific allele combinations of flowering time candidate genes within and outside of the QTL regions for flowering time on chromosome 1, 4, 14, 17, and 18 were found to be associated with an early flowering phenotype. In addition, expression of many of the flowering candidate genes was analyzed over consecutive stages of bud and inflorescence development indicating functional roles of these genes in the flowering control network.

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Rechteinhaber: 2019 Kamal et al.

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