New biotechnological approaches for a comprehensive characterization of AGL11 and its molecular mechanism underlying seedlessness trait in table grape

Studying wine metabolome through multiple targeted methods is complicated and limitative; since grapes, yeasts, bacteria, oxygen, enological techniques and wine aging collaborate to deliver one of the richest metabolomic fingerprint.

The research examines how two characteristic cultivations of a territory like the vine and the hazelnut shape the identity of a unique terroir: Langhe (North West italy).

Wine industry has to develop new strategies to reduce the negative impact of global climate change in wine quality while trying to mitigate its own contribution to this climate change. The term “ecosystem services”, whose use has been recently increasing, refers to the benefits that human beings can obtain from the interactions between the different living beings that coexist in an environment or system. The management of biodiversity in the vineyard has a positive impact on this crop. It has recently been reported that practices such as plant cover can reduce the occurrence of pests, increase pollination of the vine, improve plant performance1 and affect the phenolic content of grapes.2

One of the most important effects of climate change in wine-growing areas is the advance of phenological stages, especially concerning early berry ripening. In the hottest seasons, this results in a lack of synchrony between sugar and phenolic ripeness. In order to cope with this fact, a general effort is being made by researchers and growers aiming at delaying ripening through different strategies. One of the proposed approaches is the application of elicitors. This study aims to assess the effect at the transcriptomic level of application of three elicitors (Vitalfit, Fruitel, and Protone) in Tempranillo.

The application of remote and proximal sensing is a fast and efficient method to monitor grapevine vegetative and physiological parameters and is considered valuable to derive information on associated yield and quality traits in the vineyard. Further details can be obtained by the application of molecular analysis at the gene expression level aiming at elucidating how pathways controlling the formation of different grape quality traits are influenced by spatial variability. This work aims at evaluating intra-vineyard variability in grape composition at harvest and at comparing this with remotely sensed canopy vegetation data and molecular-based approaches.