Project description:In this study ten sweet cherry cultivars from Italy were characterized through proteomic analysis of the corresponding fruits hand-harvested at the commercial ripening stage (89 BBCH scale). A TMT10plex-based MS approach was employed to highlight molecular differences between fruit ecotypes in terms of key components influencing fruit quality and allergenic potential. Multivariate analysis of total quantitative data outlined cultivar differences and phenotypic relationships between investigated cultivars. These data could successfully integrate genetic findings obtained with DNA fingerprinting techniques for the elucidation of molecular differences and relationships between fruit ecotypes.
Project description:Viromes of sour and sweet cherry trees in Hungarian germ line collections were surveyed using small RNA HTS as an unbiased method. RNA from leaf samples of different cultivars were purified and used to produce seven pools from which small RNA HTS libraries were prepared. The sequenced reads were analyzed using bioinformatic methods to revel the presence of viruses in the samples. Presence of the viruses were validated using RT-PCR.
