The worldwide production of eggplant is estimated at about 58 Mt, with China, India and Egypt being the major producing countries. Breeding efforts in the species have mainly focused on increasing productivity, abiotic and biotic tolerance/resistance, shelf-life, the content of health-promoting metabolites in the fruit rather than decreasing the content of anti-nutritional compounds in the fruit. From the literature, we collected information on mapping quantitative trait loci (QTLs) affecting eggplant’s traits following a biparental or multi-parent approach as well as genome-wide association (GWA) studies. The positions of QTLs were lifted according to the eggplant reference line (v4.1) and more than 700 QTLs were identified, here organized into 180 quantitative genomic regions (QGRs). Our findings thus provide a tool to: (i) determine the best donor genotypes for specific traits; (ii) narrow down QTL regions affecting a trait by combining information from different populations; (iii) pinpoint potential candidate genes.

Eggplant (Solanum melongena L.) is a major Solanaceous crop of Asian origin, but genomic resources remain limited compared to related species. Here, a core collection of 368 accessions spanning global diversity of S. melongena and wild relatives is phenotyped for agronomic, disease resistance and fruit metabolomic traits and resequenced. Additionally, 40 chromosome-level assemblies of S. melongena, its progenitor S. insanum and the allied species S. incanum enable the construction of two graph-based pangenomes, capturing broad genetic variation. We demonstrate the power of these datasets by identifying major loci controlling prickliness and resistance to Fusarium oxysporum f. sp. melongenae, driven by SVs affecting the LONELY GUY 3 gene and a resistance gene cluster, respectively, as well as a mutation in a GDSL-like esterase/lipase gene altering the levels of dicaffeoyl-quinic acids. These findings provide a cornerstone for pangenome-assisted breeding, enabling detailed analyses of genetic diversity, domestication history, and trait evolution in eggplant.

Globe artichoke ( Cynara cardunculus var. scolymus L.) comprises a broad range of local ecotypes and varietal groups whose genetic diversity has been investigated through different molecular markers. However, recent advances in next‐generation sequencing and pangenomic approaches provide new opportunities to capture genome‐wide variation at higher resolution and to develop practical tools for varietal discrimination, traceability, and germplasm conservation. In this study, we developed the first pangenomic framework for cultivated artichoke and evaluated pangenome‐informed single‐nucleotide polymorphism (SNP) markers for varietal fingerprinting. Whole‐genome resequencing data from the Italian local ecotype Asti Sorì were integrated with publicly available genomic data from representative globe artichoke and cultivated cardoon accessions to construct and annotate a pangenome. Genome‐wide SNP and presence/absence variation (PAV) analyses were combined with pangenome‐anchored genotyping‐by‐sequencing (GBS) data from 45 accessions representing the main cultivated varietal groups. The pangenome revealed a largely conserved core gene repertoire alongside a smaller accessory component, with gene accumulation curves suggesting a tendency toward saturation within the sampled cultivated germplasm. SNP‐ and PAV‐based analyses provided complementary views of accession relationships and consistently resolved the principal cultivated groups. Across the broader germplasm panel, pangenome‐anchored GBS‐derived SNPs identified well‐supported phylogenetic clusters corresponding to recognized varietal types. The best‐performing 50‐SNP panel showed a high correlation with the pairwise genetic‐distance matrix obtained from the complete dataset (Pearson's r = 0.96) and largely reproduced its main varietal structure. This compact marker set provides a practical foundation for varietal fingerprinting, DUS (distinctness, uniformity, and stability)‐oriented applications, traceability, and conservation of traditional globe artichoke germplasm.

Globe artichoke ( Cynara cardunculus var. scolymus L.) comprises a broad range of local ecotypes and varietal groups whose genetic diversity has been investigated through different molecular markers. However, recent advances in next-generation sequencing and pangenomics approaches provide new opportunities to capture genome-wide variation at higher resolution and to develop practical tools for varietal discrimination, traceability, and germplasm conservation. In this study, we developed the first pangenomic framework for cultivated artichoke and evaluated pangenome-informed SNP markers for varietal fingerprinting. Whole-genome resequencing data from the Italian local ecotype ‘Asti Sorì’ were integrated with publicly available genomic data from representative globe artichoke and cultivated cardoon accessions to construct and annotate a pangenome. Genome-wide SNP and presence/absence variation (PAV) analyses were combined with pangenome-anchored genotyping-by-sequencing (GBS) data from 45 accessions representing the main cultivated varietal groups. The pangenome revealed a largely conserved core gene repertoire alongside a smaller accessory component, with gene accumulation curves suggesting a tendency toward saturation within the sampled cultivated germplasm. SNP- and PAV-based analyses provided complementary views of accession relationships and consistently resolved the principal cultivated groups. Across the broader germplasm panel, pangenome-anchored GBS-derived SNPs identified well-supported phylogenetic clusters corresponding to recognized varietal types. A reduced panel of 50 SNPs, selected through iterative random subsampling, retained at least 90% of the genetic diversity captured by the full dataset and reproduced its main population structure. This compact pangenome-anchored marker set provides a practical foundation for varietal fingerprinting, DUS-oriented applications, traceability, and conservation of traditional globe artichoke germplasm. Validation across independent collections will be required before routine deployment.