The fruit quality management had the goal to use the GLOMICAVE platform to validate the development of ten fruit species at ten stages of fruit development.
By using the project’s platform, variables linked to fruit were searched from the literature. The variables found could then be used as targets to improve genomic selection and/or agricultural practices.
Fruits have proven to be a huge success in the evolution of plants. But today, production of fruit, which is essential in human nutrition, is under significant pressure not only from environmental stresses but also from changes in consumer preference for taste and nutritional value, resulting in a constantly renewed need for improved varieties to meet this demand.
Metabolism is an obvious target for improving fruit production, especially in fleshy fruits, our main source of vitamins and antioxidants, and understanding the mechanisms linking it to fruit phenotypes will help to improve breeding strategies. Indeed, traits such as pathogen and abiotic stress resistance during growth, as well as flavour, nutritional value and health benefits are all affected by the composition of metabolites in fruit tissues. A key goal is therefore to understand the factors that affect metabolite concentrations in cells and tissues and how they are balanced with growth, ultimately for manipulating their levels to improve crop traits.
The GLOMICAVE integrative platform allows to identify metabolites, transcript and in fine metabolic pathways relevant for fruit development and quality or affected by a fruit pathogen. By using the project’s platform, variables linked to fruit quality are searched from the literature across a panel of ten fruit species, including targets for growth duration or climacteric respiration among others. The variables found could then be used as targets to improve genomic selection and/or agricultural practices.
Within the project, to build multiscale functional references during fruit development and upon peach pathogen challenge, we are generating new data to complement the existing data, thus providing an unprecedented multiscale dataset for a wide range of fruits.
The sharka disease, caused by the Plum pox virus (PPV), is a devastating viral disease of stone fruits with a significant impact on agronomy and economics. The dataset obtained during the Glomicave project, and their correlation with existing data, will be crucial to decipher the responses of peach trees to PPV-infection and reveal biomarkers at early stages.
WITH THE FRUIT GROWTH AND QUALITY MANAGEMENT USE CASE FLYER!
