ArticlePlant cell reports2016
Metabolite fingerprinting, pathway analyses, and bioactivity correlations for plant species belonging to the Cornaceae, Fabaceae, and Rosaceae families.
Article in Plant cell reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 30 citations in OpenAlex.
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- Non-targeted metabolomic analysis for the comparative evaluation of volatile organic compounds in 20 globally representative cucumber lines.Frontiers in plant science · 2022Article
- Effects of limited water supply on metabolite composition in tomato fruits (Frontiers in plant science · 2022Article
- Nontargeted Metabolomics as a Screening Tool for Estimating Bioactive Metabolites in the Extracts of 50 Indigenous Korean Plants.Metabolites · 2021Article
- Metabolite Profiling ofPlants (Basel, Switzerland) · 2021Article
- Combined Effects of Nutrients × Water × Light on Metabolite Composition in Tomato Fruits (Plants (Basel, Switzerland) · 2021Article
- Comprehensive Metabolite Profiling and Microbial Communities ofFoods (Basel, Switzerland) · 2021Article
- Comparing Metabolites and Functional Properties of Various Tomatoes Using Mass Spectrometry-Based Metabolomics Approach.Frontiers in nutrition · 2021Article
- Metabolite Profiling and Microbial Community of Traditional Meju Show Primary and Secondary Metabolite Differences Correlated with Antioxidant Activities.Journal of microbiology and biotechnology · 2020Article
- Exploring the metabolomic diversity of plant species across spatial (leaf and stem) components and phylogenic groups.BMC plant biology · 2020Article
- Effects of Nutrient and Water Supply During Fruit Development on Metabolite Composition in Tomato Fruits (Frontiers in plant science · 2020Article
- Metabolomic response of Perilla frutescens leaves, an edible-medicinal herb, to acclimatize magnesium oversupply.PloS one · 2020Article
- Untargeted Metabolomics Toward Systematic Characterization of Antioxidant Compounds in Betulaceae Family Plant Extracts.Metabolites · 2019Article
- Effects ofInternational journal of molecular sciences · 2018Article
- Strategy for Screening of Antioxidant Compounds from Two Ulmaceae Species Based on Liquid Chromatography-Mass Spectrometry.Molecules (Basel, Switzerland) · 2018Article
- Radical Scavenging and Antioxidant Activity ofMolecules (Basel, Switzerland) · 2018Article
- Systematic metabolic profiling and bioactivity assays for bioconversion of Aceraceae family.PloS one · 2018Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
key messageA multi-parallel approach gauging the mass spectrometry-based metabolite fingerprinting coupled with bioactivity and pathway evaluations could serve as an efficacious tool for inferring plant taxonomic orders. Thirty-four species from three plant families, namely Cornaceae (7), Fabaceae (9), and Rosaceae (18) were subjected to metabolite profiling using gas chromatography-time-of-flight-mass spectrometry (GC-TOF-MS) and ultrahigh performance liquid chromatography-linear trap quadrupole-ion trap-mass spectrometry (UHPLC-LTQ-IT-MS/MS), followed by multivariate analyses to determine the metabolites characteristic of these families. The partial least squares discriminant analysis (PLS-DA) revealed the distinct clustering pattern of metabolites for each family. The pathway analysis further highlighted the relatively higher proportions of flavonols and ellagitannins in the Cornaceae family than in the other two families. Higher levels of phenolic acids and flavan-3-ols were observed among species from the Rosaceae family, while amino acids, flavones, and isoflavones were more abundant among the Fabaceae family members. The antioxidant activities of plant extracts were measured using ABTS, DPPH, and FRAP assays, and indicated that extracts from the Rosaceae family had the highest activity, followed by those from Cornaceae and Fabaceae. The correlation map analysis positively links the proportional concentration of metabolites with their relative antioxidant activities, particularly in Cornaceae and Rosaceae. This work highlights the pre-eminence of the multi-parallel approach involving metabolite profiling and bioactivity evaluations coupled with metabolic pathways as an efficient methodology for the evaluation of plant phylogenies.
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