ArticleScientific reports2024
Using widely targeted metabolomics profiling to explore differences in constituents of three Bletilla species.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Natural variation inScience advances · 2026Article
- Chemical diversity and species differentiation in Brazilian Vanilla: insights from LC-HRMS/MS metabolomics.Metabolomics : Official journal of the Metabolomic Society · 2026Article
- Comparative metabolome and transcriptome analysis of foxtail millet cultivars with high and low grain quality.Food chemistry. Molecular sciences · 2025Article
- GC-MS based nutritional and aroma profiling of date palm seeds collected from different Egyptian cultivars for valorization purposes.Scientific reports · 2025Article
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7 authors.
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Abstract
Bletilla striata has been used in traditional Chinese medicine for thousands of years to treat a variety of health diseases. Currently, metabolic causes of differences in medicinal values are unknown, due to the lack of a large-scale and comprehensive investigation of metabolites in Bletilla species. In order to gain a better understanding of the major chemical constituents responsible for the medicinal value, this study aimed to explore the metabolomic differences among three Bletilla species (Bletilla striata: Bs, Bletilla ochracea: Bo and Bletilla formosana: Bf). There were 258 different metabolites between 'Bo' and 'Bf', the contents of 109 metabolites had higher abundance, while 149 metabolites showed less accumulation. There were 165 different metabolites between the 'Bs' and 'Bf', content of 72 metabolites was increased and content of 93 metabolites was decreased. There were 239 different metabolites between the 'Bs' and 'Bo', content of 145 metabolites was increased and content of 94 metabolites was decreased. In the Bo_vs_Bf, Bs_vs_Bf and Bs_vs_Bo groups, the major differential categories were flavonoids, phenolic acids, organic acids and alkaloids. Moreover, the differential metabolites were clustered into clear and distinct profiles via K-means analysis. In addition, the major differential categories were flavonoids, phenolic acids, organic acids and alkaloids. The 'Flavonoid biosynthesis' (ko00941) and 'Phenylalanine metabolism' (ko00360) pathways were significantly enriched in Bo_vs_Bf, Bs_vs_Bf and Bs_vs_Bo comparisons. These results clarify the metabolomics in different Bletilla species, as well as providing basis for the phamaceutical value of novel species of Bletilla.
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