MYB transcription factors (TFs) represent one of the largest gene families in plants, and previous studies have demonstrated their involvement in regulating anthocyanin synthesis. Eggplant is an important anthocyanin-rich solanaceae vegetable crop. In this study, a total of 219 MYB gene-family members were identified using the complete and high-quality eggplant genome, comprising 105 1R-MYBs, 107 R2R3-MYBs, 5 3R-MYBs, and 2 4R-MYBs. Using phylogenetic analysis, we divided them into 33 subfamilies. Members of the SmeMYB gene family are unevenly distributed on 12 chromosomes, but are mainly concentrated at the upper and lower ends of the chromosomes. In addition, the expression levels of R2R3-MYBs in differently colored eggplant tissues (peel, calyx, stem, flower, and leaf) were investigated with RNA-seq (RNA sequencing). A total of 13 differentially expressed R2R3-MYB transcription factors related to the synthesis of anthocyanins in different eggplant tissues were screened out. SmeMYB110, SmeMYB175, and SmeMYB182 were also found to play significant roles in this process. Furthermore, 10 MYB TFs were identified as potential genes regulating anthocyanin synthesis in different tissues. The quantitative real-time PCR (qRT-PCR) analysis results showed that SmeMYB175 was regarded as the most likely key transcription factor regulating anthocyanin synthesis in calyx. These results not only deepen our understanding of the MYB gene family in eggplant but also lay a solid foundation for further research on the regulation of SmeR2R3-MYBs in anthocyanin synthesis across diverse eggplant tissues.

Eggplant (Solanum melongena) is a significant vegetable in the Solanaceae family. Significant progress has been made in genetic diversity analysis and fingerprinting construction for crops such as tomatoes and peppers within the same family, but research on eggplants in these aspects remains relatively limited. Current germplasm identification using fingerprinting primarily relies on traditional SSR markers, which suffer from limited polymorphism and labor-intensive workflows. This study aimed to identify high-quality single nucleotide polymorphisms (SNPs), develop reliable Kompetitive Allele-Specific PCR (KASP) markers for eggplant genotyping, and then conduct fingerprint construction and genetic diversity analysis. The ultimate goals were to achieve a precise identification of eggplant varieties and deeply explore the genetic background and evolutionary patterns of eggplant germplasm. In this study, 49 representative eggplant accessions were re-sequenced. After data quality control, sequence alignment, and multiple rounds of screening, 224 high-quality SNPs were identified. Based on these SNPs, 96 SNPs were selected to develop KASP markers. These markers can provide abundant genetic markers for eggplant genetic research, which are used to deeply explore the genetic background and conduct genetic diversity analysis. After multiple rounds of rigorous verification, 32 core candidate markers were finally screened out. The average polymorphic information content (PIC) and gene diversity (GD) values were 0.36 and 0.46, respectively. Phylogenetic tree, population structure, and principal component analyses divided the 280 eggplant accessions into eight distinct groups. Through the analysis of minimal core markers and core germplasm, 23 core SNP markers and a subset of 56 core germplasm accessions were identified, leading to the establishment of a comprehensive fingerprinting system for all 280 accessions. Our findings provide a foundational genetic resource for eggplant germplasm identification and offer significant support for future breeding efforts.

Seed dormancy is a life adaptation trait exhibited by plants in response to environmental changes during their growth and development. The dormancy of commercial seeds is the key factor affecting seed quality. Eggplant seed dormancy is controlled by quantitative trait loci (QTLs), but reliable QTLs related to eggplant dormancy are still lacking. In this study, F₂ populations obtained through the hybridization of paternally inbred lines with significant differences in dormancy were used to detect regulatory sites of dormancy in eggplant seeds. Three QTLs (dr1.1, dr2.1, and dr6.1) related to seed dormancy were detected on three chromosomes of eggplant using the QTL-Seq technique. By combining nonsynonymous sites within the candidate regions and gene functional annotation analysis, nine candidate genes were selected from three QTL candidate regions. According to the germination results on the eighth day, the male parent was not dormant, but the female parent was dormant. Quantitative real-time polymerase chain reaction (qRT-PCR) was used to verify the expression of nine candidate genes, and the Smechr0201082 gene showed roughly the same trend as that in the phenotypic data. We proposed Smechr0201082 as the potential key gene involved in regulating the dormancy of eggplant seeds. The results of seed experiments with different concentrations of gibberellin A₃ (GA₃) showed that, within a certain range, the higher the gibberellin concentration, the earlier the emergence and the higher the germination rate. However, higher concentrations of GA₃ may have potential effects on eggplant seedlings. We suggest the use of GA₃ at a concentration of 200–250 mg·L⁻¹ to treat dormant seeds. This study provides a foundation for the further exploration of genes related to the regulation of seed dormancy and the elucidation of the molecular mechanism of eggplant seed dormancy and germination.