Developing a High Density Genetic Map for Acca sellowiana (Berg.) Burret

Acca sellowiana (2n = 2x = 22) is a promising Myrtacea fruit tree species, native to Uruguay and Brazil. Its significant agronomic potential results from highly aromatic fruits, with nutraceutical and therapeutic value. However, the molecular genetic research in this species is limited. Currently, the genotyping methods such as Genotyping-by-sequencing (GBS) provided a high marker density without the need for any prior genomic information. In order to enhance the research and breeding in this species, we develop two F1 populations connected by one parental genotype segregating for relevant fruit quality traits. The objectives of this study were to develop single nucleotide polymorphism (SNP) markers using GBS and to construct high-density genetic linkage maps. The F1 populations (H5, H6) with a total number of 344 individuals were used for SNP detection. A total of 456,962,262 reads analyzed through a Tassel calling pipeline identified 12,502 SNP loci. The quantitative analysis of SNPs identified 4,599 SNPs for H5, 3,556 for H6 whereas 2,427 of them coincided in both sets. A high-density integrated genetic linkage map for each population, with the expected number of linkage groups (11), was constructed using an adapted version of R package OneMap. For H5, previously mapped ISSR, AFLP and SSR markers were also included in the map. This is the first multi-parental genetic map for the species.