Grapevine (Vitis vinifera L.) is one of the world's most important crop plants, which is of large economic value for fruit and wine production. There is much interest in identifying genomic variations and their functional effects on inter-varietal, phenotypic differences. Using an approach developed for the analysis of human and mammalian genomes, which combines high-throughput sequencing, array comparative genomic hybridization, fluorescent in situ hybridization and quantitative PCR, we created an inter-varietal atlas of structural variations and single nucleotide variants (SNVs) for the grapevine genome analyzing four economically and genetically relevant table grapevine varieties. We found 4.8 million SNVs and detected 8% of the grapevine genome to be affected by genomic variations. We identified more than 700 copy number variation (CNV) regions and more than 2000 genes subjected to CNV as potential candidates for phenotypic differences between varieties.

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Grapes are economically the most important fruit species in the world and approximately 30% of its production is used as fresh fruit. Because of the very important role of flavonoids in food quality as well as their health-promoting properties, and considering that our experiments were performed along 3 consecutive years, gathered results in this research are quite promising to give a useful information on the flavonoid contents and their evolution in 5 seedless table grapes that are widespread in Mediterranean regions but also in California and South America, and are grown in a viticultural climate (Apulia, South Italy) very close to some regions of Spain, Turkey, Tunisia, and Israel.

DNA markers technology, derived from research in molecular biology and genomics, offers great promise for plant breeding, allowing the "molecular breeding" via marker-assisted selection. Grapevine genomic resources allowed, in recent years, the characterization at molecular level of genes involved in interesting phenotypes such as stenospermocarpic seedlessness, a trait really appreciated by consumers. Recent studies in table grapes revealed that the VvAGL11 gene, member of the D-lineage MADS-box family, controls the ovule identity, and thus potentially playing an important role in stenospermocarpy. Intragenic markers of VvAGL11 have been found and tested for breeding purposes. In the present paper, we describe an in deep assay on a total of 475 genotypes derived by our own grape germplasm and seeded × seedless crosses F1 offspring, to evaluate and verify the "diagnostic" power of VvAGL11 in marker-assisted selection. We found only 8/475 that were seeded and carried the seedless-associated allele in the STS p3_VvAGL11. However, and most importantly, there were no seedless varieties without such allele. We validated the marker as a 100 % effective tool for early negative selection of stenospermocarpy in Vitis vinifera L. crosses.

Grapevine ( Vitis vinifera L.) is importantly cultivated worldwide for table grape and wine production. Its cultivation requires irrigation supply, especially in arid and semiarid areas. Water deficiency can affect berry and wine quality mostly depending on the extent of plant perceived stress, which is a cultivar-specific trait. We tested the physiological and molecular responses to water deficiency of two table grape cultivars, Italia and Autumn royal, and we highlighted their different adaptation. Microarray analyses revealed that Autumn royal reacts involving only 29 genes, related to plant stress response and ABA/hormone signal transduction, to modulate the response to water deficit. Instead, cultivar Italia orchestrates a very broad response (we found 1037 differentially expressed genes) that modifies the cell wall organization, carbohydrate metabolism, response to reactive oxygen species, hormones and osmotic stress. For the first time, we integrated transcriptomic data with cultivar-specific genomics and found that ABA-perception and –signalling are key factors mediating the varietal-specific behaviour of the early response to drought. We were thus able to isolate candidate genes for the genotype-dependent response to drought. These insights will allow the identification of reliable plant stress indicators and the definition of sustainable cultivar-specific protocols for water management.