The recent sequencing of many Rosaceae complete genomes, including that of sweet cherry (Prunus avium L.), along with the availability of high-throughput resources offers new challenges and opportunities for cherry breeders in the genomic era towards improvement of climate-smart traits and diseases resistance against the main pathogens, which are consistently plagued the crop.
The current study characterizes the physicochemical, sensory and bioactive compound traits of twenty-two sweet cherry accessions, namely breeding lines, landraces and modern cultivars, embodying the majority of Greek germplasm.
Sweet cherry germplasm contains a high variety of phenotypes which are associated with fruit size and shape as well as sugar content, etc. High phenotypic variation can be a result of genetic or epigenetic diversity that may interact through time.
Genome-wide transcriptome analysis is a method that produces important data on plant biology at a systemic level. The lack of understanding of the relationships between proteins and genes in plants necessitates a further thorough analysis at the proteogenomic level.
Genome-wide transcriptome analysis provides systems-level insights into plant biology. Due to the limited depth of quantitative proteomics our understanding of gene–protein–complex stoichiometry is largely unknown in plants.
Natural products are not only positioned in the heart of traditional medicine but also in modern medicine as many current drugs are coming from natural sources. Apart from the field of medicine and therapeutics, natural products are broadly used in other industrial fields such as nutrition, skincare products and nanotechnology.
A combined -omics and bioinformatics approach to generate the atlas of Greek-oriented sweet cherry genetic resources.
SweetBiOmics aims to create and integrate cutting edge genomic, epigenetic, transcriptomic, proteomic, metabolomic and phenotypic data with advanced statistical and bioinformatics approaches