In this study, the Ion Torrent PGM platform was employed to conduct a whole-genome sequencing analysis of Eugenia uniflora L., aiming to generate new genomic information for this non-model species. The whole-genome set of assembled sequences (WGSAS) generated 2601 contigs, with a cumulative length of 3.15 Mbp. About 2.60% of the WGSAS was characterized by repetitive sequences, while 71.66% of the WGSAS was represented by predicted genes. A total of 147 metabolic pathways related to enzymes characterized in the E. uniflora WGSAS were detected. Proteins related to antifungal activity and to bacterium and fungi defense response as well as transcriptions factors related to abiotic stress responses were also identified. This sequencing provides important genomic resources for future breeding and selection regarding plants with higher production of such metabolites, as well as source of genes for genetic engineering of cultivated species, supporting a wide application of marker-assisted and genomic selection, towards the establishment of commercial orchards with improved cultivars of E. uniflora.
Keywords: Agriculture; Biotechnology; Functional annotation; Medicinal plant; Pitangueira.