ArticleBioMed research international2017
Novel Approach to Classify Plants Based on Metabolite-Content Similarity.
Article in BioMed research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Integrating untargeted volatile metabolomics and molecular evidence supporting chemotaxonomy in Kaempferia species for more effective identification.Scientific reports · 2025Article
- Specialization of Sesquiterpene Lactone Metabolites inJournal of natural products · 2025Article
- Anti-aging activities of an ethanolic extract ofFrontiers in pharmacology · 2025Article
- Prospecting Pharmacologically Active Biocompounds from the Amazon Rainforest: In Vitro Approaches, Mechanisms of Action Based on Chemical Structure, and Perspectives on Human Therapeutic Use.Pharmaceuticals (Basel, Switzerland) · 2024Review
- Anti-Melanogenic Activity of Ethanolic Extract fromAntioxidants (Basel, Switzerland) · 2024Article
- A review of artificial intelligence-assisted omics techniques in plant defense: current trends and future directions.Frontiers in plant science · 2024Review
- Widely Targeted Volatilomics and Metabolomics Analysis Reveal the Metabolic Composition and Diversity of Zingiberaceae Plants.Metabolites · 2023Article
- Chemoinformatics-driven classification of Angiosperms using sulfur-containing compounds and machine learning algorithm.Plant methods · 2022Article
- Targeted Metabolomics Provide Chemotaxonomic Insights ofPlants (Basel, Switzerland) · 2022Article
- A Review of Integrative Omic Approaches for Understanding Rice Salt Response Mechanisms.Plants (Basel, Switzerland) · 2022Review
- Acceleration of wound healing by topical application of gel formulation ofF1000Research · 2022Article
- Metabolomics-Guided Elucidation of Plant Abiotic Stress Responses in the 4IR Era: An Overview.Metabolites · 2021Review
- Development of a biomarker database toward performing disease classification and finding disease interrelations.Database : the journal of biological databases and curation · 2021Article
- Taxonomically Informed Scoring Enhances Confidence in Natural Products Annotation.Frontiers in plant science · 2019Article
- Screening of in vitro antimicrobial activity of plants used in traditional Indonesian medicine.Pharmaceutical biology · 2018Article
- Identifying diseases-related metabolites using random walk.BMC bioinformatics · 2018Article
- Binary similarity measures for fingerprint analysis of qualitative metabolomic profiles.Metabolomics : Official journal of the Metabolomic Society · 2018Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Secondary metabolites are bioactive substances with diverse chemical structures. Depending on the ecological environment within which they are living, higher plants use different combinations of secondary metabolites for adaptation (e.g., defense against attacks by herbivores or pathogenic microbes). This suggests that the similarity in metabolite content is applicable to assess phylogenic similarity of higher plants. However, such a chemical taxonomic approach has limitations of incomplete metabolomics data. We propose an approach for successfully classifying 216 plants based on their known incomplete metabolite content. Structurally similar metabolites have been clustered using the network clustering algorithm DPClus. Plants have been represented as binary vectors, implying relations with structurally similar metabolite groups, and classified using Ward's method of hierarchical clustering. Despite incomplete data, the resulting plant clusters are consistent with the known evolutional relations of plants. This finding reveals the significance of metabolite content as a taxonomic marker. We also discuss the predictive power of metabolite content in exploring nutritional and medicinal properties in plants. As a byproduct of our analysis, we could predict some currently unknown species-metabolite relations.
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