Flower color is one of the key trait that determines the marketability of chrysanthemums. However, genetic research on chrysanthemum remains limited because of numerous environmental factors and the complexity of the chrysanthemum genome. To gain a deeper understanding of the genetic mechanisms underlying flower color in chrysanthemum, this study conducted genotyping analysis on 94 F₁ progenies derived from a cross between two wild chrysanthemum parents, ‘CWT2’ and ‘CWT8,’ which exhibit distinct flower colors. Genotyping-by-sequencing (GBS) was used for SNP identification, resulting in 79,002 single nucleotide polymorphisms (SNPs). After stringent filtering, 2,548 SNP markers were selected to construct a GBS-SNP linkage map, which was subsequently used to detect quantitative trait loci (QTLs) associated with flower color. Four QTL were identified, encompassing genes involved in carotenoid biosynthesis, carotenoid degradation, and the methylerythritol phosphate pathway. Among the 16 candidate genes analyzed for their potential role in flower color determination, three genes (VDE, CYP707A4, and CYP707A2) were ultimately selected for molecular marker development. The findings of this study provide a valuable foundation for understanding the genetic basis of carotenoid degradation in chrysanthemums. Future in-depth research is expected to facilitate the development of new chrysanthemum varieties for breeding programs through marker-assisted selection in breeding programs.

The rice recombinant inbred lines derived from Milyang23 and Gihobyeo cross were used in genetic mapping and QTL analysis studies. In this study, we developed a new 101 CAPS markers based on the SNPs in the whole genome region between these varieties. As a result, the total genetic distance and average distances were 1,696.97 cM and 3.64 cM, respectively. In comparison to the distance of the previous genetic map constructed based on 365 DNA markers, the new genetic map was found to have a decreased distance. The map was applied for the detection of QTLs on all seven traits relevant to diameter of stem internode, length of culms, length of panicles and the number of panicles including the correlation analysis between each trait. The QTLs results were similar to the report in previous studies, whereas the distance between the markers was narrowed and accuracy increased with the addition of 101 CAPS markers. A total of 9 new QTLs were detected for stem internode traits. Among them, qI1D-6 had higher LOD of 5.1 and phenotype variation of 50.92%. In this experiment, a molecular map was constructed with CAPS markers using next generation sequencing showing high accuracy for markers and QTLs. In the future, developing more accurate QTL information on stem internode diameters with various agriculturally important traits will be possible for further rice breeding.