Dendrobium officinale Kimura et Migo is a commercially and pharmacologically highly prized species widely used in Western Asian countries. In contrast to the extensive genomic and transcriptomic resources generated in this medicinal species, detailed metabolomic data are still missing. Herein, using the widely targeted metabolomics approach, we detect 649 diverse metabolites in leaf and stem samples of D. officinale. The majority of these metabolites were organic acids, amino acids and their derivatives, nucleotides and their derivatives, and flavones. Though both organs contain similar metabolites, the metabolite profiles were quantitatively different. Stems, the organs preferentially exploited for herbal medicine, contained larger concentrations of many more metabolites than leaves. However, leaves contained higher levels of polyphenols and lipids. Overall, this study reports extensive metabolic data from leaves and stems of D. officinale, providing useful information that supports ongoing genomic research and discovery of bioactive compounds.
1. Polianthes tuberosa L. is a perennial decorative bulb plant native to Mexico and classified as a member of the Amaryllidaceae (Agavaceae) family Benschop (1993). Tuberose is among the most signi...
Waterlily (Nymphaea L.), a globally renowned aquatic ornamental plant, is prized for its aesthetic flowers and intense floral fragrance. However, the molecular mechanisms underlying floral scent biosynthesis in waterlily remain poorly characterized, and integrated analyses of dynamic volatile emission patterns and their associated biosynthetic pathways are lacking. In this study, we combined headspace solid-phase microextraction/gas chromatography–mass spectrometry (HS-SPME/GC-MS) with transcriptome sequencing (RNA-seq) to investigate the composition, emission dynamics, and biosynthesis of volatile organic compounds (VOCs) in the stamens of Nymphaea ‘Paul Stetson’ across three developmental stages. A total of 671 VOCs, classified into 14 categories, were identified. Transcriptome analysis revealed 47,951 differentially expressed genes (DEGs). Integrative omics analysis demonstrated correlated DEGs and differentially accumulated volatiles were significantly enriched in pathways related to phenylpropanoid biosynthesis, terpenoid backbone biosynthesis, diterpenoid biosynthesis, and ubiquinone/other terpenoid-quinone biosynthesis. Five candidate functional genes exhibiting strong positive correlations with VOC accumulation levels were identified, three of which are implicated in terpenoid biosynthesis. These findings provide a theoretical foundation for elucidating aroma composition and biosynthesis in waterlily and offer novel avenues for the genetic improvement of fragrance traits for ornamental, beverage, and cosmetic applications.
Carnation is one of the most popular ornamental flowers worldwide. Due to its high ornamental and economic value, breeding techniques have advanced rapidly, leading to the continuous emergence of new varieties. However, this has also resulted in issues such as synonymy and homonymy. Therefore, utilizing DNA fingerprinting for rapid and accurate variety identification can play a crucial role in germplasm identification and the resolution of intellectual property disputes. In this study, we performed reduced-representation genome sequencing on 50 carnation accessions to develop single nucleotide polymorphism (SNP) markers. After filtering, 82,584 high-quality SNPs were obtained. These SNPs were used to conduct principal component analysis, population structure analysis, and cluster analysis on the 50 carnation accessions. From these high-quality SNPs, 130 SNP loci were further selected and converted into Kompetitive Allele-Specific PCR (KASP) markers. Preliminary screening using 92 carnation accessions yielded 53 KASP markers, and a subsequent screening with 217 carnation accessions identified 45 core KASP markers. Using these core markers, a fingerprint database was successfully constructed for 309 carnation accessions, achieving a distinguishing power of 99.987%. This study employed SNP fingerprinting and genetic analysis for the screening and identification of carnations, broadening the genetic basis at the molecular level and supporting subsequent variety protection efforts, thereby providing a scientific basis for carnation selection and identification.