Spectroscopic and multivariate data-based method to assess the metabolomic fingerprint of Mediterranean plants

Laura Grauso, Maurizio Zotti, Wen Sun, Bruna de Falco, Virginia Lanzotti, Giuliano Bonanomi*

*Corresponding author for this work

    Research output: Contribution to journalSpecial issue

    Abstract

    Introduction: Most secondary metabolites from plants have a prominent defensive role and repellency against predators and microbial pathogens. These properties largely vary among plant species and offer potential applications as biologically active compounds in medicine as well in agriculture. 

    Objectives: We propose a new procedure that combine different spectroscopic techniques and multivariate data analysis to determine the chemical composition and the relative amounts of each metabolites and/or each class of organic compounds. The approach was used for a rapid identification of secondary metabolites from leaf and root of eight Mediterranean plants species. 

    Methodology: The polar and the apolar extracts of two leaves and roots of each plant were analysed by proton nuclear magnetic resonance (1H-NMR) and gas chromatography coupled to mass spectrometry (GC–MS), respectively. Multivariate data analysis was used for a faster interpretation of data. 

    Results: The metabolic fingerprint of the Mediterranean plants, Acanthus mollis, Dittrichia viscosa, Festuca drymeja, Fraxinus ornus, Fagus sylvatica, Hedera helix, Quercus ilex, and Typha latifolia, showed a complex chemical composition, being specific for each species and plant tissue. Two alditols, mannitol and quercitol, were found in manna ash (Fraxinus ornus) and holm oak (Q. ilex) polar leaf extracts, respectively. The highest levels of aromatic compounds were found in D. viscosa and T. latifolia. Fatty acids were the predominant class of compounds in all apolar extracts under investigation. Triterpene were almost exclusively found in roots, except for holm oak, where they constitute 58% of total extract. Steroids were widespread in leaf extracts. 

    Conclusion: The major advantages of the proposed approach are versatility and rapidity, thus making it suitable for a fast comparison among species and plant tissue types.

    Original languageEnglish
    Pages (from-to)572-581
    Number of pages10
    JournalPhytochemical Analysis
    Volume30
    Issue number5
    Early online date9 Jul 2019
    DOIs
    Publication statusPublished - 30 Sep 2019

    Fingerprint

    Metabolomics
    Dermatoglyphics
    metabolomics
    Metabolites
    Quercus ilex
    Fraxinus ornus
    Nuclear magnetic resonance
    Ashes
    Dittrichia viscosa
    Typha latifolia
    Fraxinus
    Tissue
    Sugar Alcohols
    Quercus
    Triterpenes
    Aromatic compounds
    leaf extracts
    Bioelectric potentials
    Acanthus mollis
    secondary metabolites

    Cite this

    Grauso, Laura ; Zotti, Maurizio ; Sun, Wen ; de Falco, Bruna ; Lanzotti, Virginia ; Bonanomi, Giuliano. / Spectroscopic and multivariate data-based method to assess the metabolomic fingerprint of Mediterranean plants. In: Phytochemical Analysis. 2019 ; Vol. 30, No. 5. pp. 572-581.
    @article{bc9ddba0523541aba236bf4c25040f23,
    title = "Spectroscopic and multivariate data-based method to assess the metabolomic fingerprint of Mediterranean plants",
    abstract = "Introduction: Most secondary metabolites from plants have a prominent defensive role and repellency against predators and microbial pathogens. These properties largely vary among plant species and offer potential applications as biologically active compounds in medicine as well in agriculture. Objectives: We propose a new procedure that combine different spectroscopic techniques and multivariate data analysis to determine the chemical composition and the relative amounts of each metabolites and/or each class of organic compounds. The approach was used for a rapid identification of secondary metabolites from leaf and root of eight Mediterranean plants species. Methodology: The polar and the apolar extracts of two leaves and roots of each plant were analysed by proton nuclear magnetic resonance (1H-NMR) and gas chromatography coupled to mass spectrometry (GC–MS), respectively. Multivariate data analysis was used for a faster interpretation of data. Results: The metabolic fingerprint of the Mediterranean plants, Acanthus mollis, Dittrichia viscosa, Festuca drymeja, Fraxinus ornus, Fagus sylvatica, Hedera helix, Quercus ilex, and Typha latifolia, showed a complex chemical composition, being specific for each species and plant tissue. Two alditols, mannitol and quercitol, were found in manna ash (Fraxinus ornus) and holm oak (Q. ilex) polar leaf extracts, respectively. The highest levels of aromatic compounds were found in D. viscosa and T. latifolia. Fatty acids were the predominant class of compounds in all apolar extracts under investigation. Triterpene were almost exclusively found in roots, except for holm oak, where they constitute 58{\%} of total extract. Steroids were widespread in leaf extracts. Conclusion: The major advantages of the proposed approach are versatility and rapidity, thus making it suitable for a fast comparison among species and plant tissue types.",
    author = "Laura Grauso and Maurizio Zotti and Wen Sun and {de Falco}, Bruna and Virginia Lanzotti and Giuliano Bonanomi",
    year = "2019",
    month = "9",
    day = "30",
    doi = "10.1002/pca.2862",
    language = "English",
    volume = "30",
    pages = "572--581",
    journal = "Phytochemical Analysis",
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    Spectroscopic and multivariate data-based method to assess the metabolomic fingerprint of Mediterranean plants. / Grauso, Laura; Zotti, Maurizio; Sun, Wen; de Falco, Bruna; Lanzotti, Virginia; Bonanomi, Giuliano.

    In: Phytochemical Analysis, Vol. 30, No. 5, 30.09.2019, p. 572-581.

    Research output: Contribution to journalSpecial issue

    TY - JOUR

    T1 - Spectroscopic and multivariate data-based method to assess the metabolomic fingerprint of Mediterranean plants

    AU - Grauso, Laura

    AU - Zotti, Maurizio

    AU - Sun, Wen

    AU - de Falco, Bruna

    AU - Lanzotti, Virginia

    AU - Bonanomi, Giuliano

    PY - 2019/9/30

    Y1 - 2019/9/30

    N2 - Introduction: Most secondary metabolites from plants have a prominent defensive role and repellency against predators and microbial pathogens. These properties largely vary among plant species and offer potential applications as biologically active compounds in medicine as well in agriculture. Objectives: We propose a new procedure that combine different spectroscopic techniques and multivariate data analysis to determine the chemical composition and the relative amounts of each metabolites and/or each class of organic compounds. The approach was used for a rapid identification of secondary metabolites from leaf and root of eight Mediterranean plants species. Methodology: The polar and the apolar extracts of two leaves and roots of each plant were analysed by proton nuclear magnetic resonance (1H-NMR) and gas chromatography coupled to mass spectrometry (GC–MS), respectively. Multivariate data analysis was used for a faster interpretation of data. Results: The metabolic fingerprint of the Mediterranean plants, Acanthus mollis, Dittrichia viscosa, Festuca drymeja, Fraxinus ornus, Fagus sylvatica, Hedera helix, Quercus ilex, and Typha latifolia, showed a complex chemical composition, being specific for each species and plant tissue. Two alditols, mannitol and quercitol, were found in manna ash (Fraxinus ornus) and holm oak (Q. ilex) polar leaf extracts, respectively. The highest levels of aromatic compounds were found in D. viscosa and T. latifolia. Fatty acids were the predominant class of compounds in all apolar extracts under investigation. Triterpene were almost exclusively found in roots, except for holm oak, where they constitute 58% of total extract. Steroids were widespread in leaf extracts. Conclusion: The major advantages of the proposed approach are versatility and rapidity, thus making it suitable for a fast comparison among species and plant tissue types.

    AB - Introduction: Most secondary metabolites from plants have a prominent defensive role and repellency against predators and microbial pathogens. These properties largely vary among plant species and offer potential applications as biologically active compounds in medicine as well in agriculture. Objectives: We propose a new procedure that combine different spectroscopic techniques and multivariate data analysis to determine the chemical composition and the relative amounts of each metabolites and/or each class of organic compounds. The approach was used for a rapid identification of secondary metabolites from leaf and root of eight Mediterranean plants species. Methodology: The polar and the apolar extracts of two leaves and roots of each plant were analysed by proton nuclear magnetic resonance (1H-NMR) and gas chromatography coupled to mass spectrometry (GC–MS), respectively. Multivariate data analysis was used for a faster interpretation of data. Results: The metabolic fingerprint of the Mediterranean plants, Acanthus mollis, Dittrichia viscosa, Festuca drymeja, Fraxinus ornus, Fagus sylvatica, Hedera helix, Quercus ilex, and Typha latifolia, showed a complex chemical composition, being specific for each species and plant tissue. Two alditols, mannitol and quercitol, were found in manna ash (Fraxinus ornus) and holm oak (Q. ilex) polar leaf extracts, respectively. The highest levels of aromatic compounds were found in D. viscosa and T. latifolia. Fatty acids were the predominant class of compounds in all apolar extracts under investigation. Triterpene were almost exclusively found in roots, except for holm oak, where they constitute 58% of total extract. Steroids were widespread in leaf extracts. Conclusion: The major advantages of the proposed approach are versatility and rapidity, thus making it suitable for a fast comparison among species and plant tissue types.

    U2 - 10.1002/pca.2862

    DO - 10.1002/pca.2862

    M3 - Special issue

    AN - SCOPUS:85068684031

    VL - 30

    SP - 572

    EP - 581

    JO - Phytochemical Analysis

    JF - Phytochemical Analysis

    SN - 0958-0344

    IS - 5

    ER -