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Computational metabolomics reveals overlooked chemodiversity of alkaloid scaffolds in Piper fimbriulatum

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388963%3A_____%2F25%3A00618185" target="_blank" >RIV/61388963:_____/25:00618185 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11110/25:10497705 RIV/60461373:22310/25:43932718 RIV/60461373:22330/25:43932718

  • Result on the web

    <a href="https://doi.org/10.1111/tpj.70086" target="_blank" >https://doi.org/10.1111/tpj.70086</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1111/tpj.70086" target="_blank" >10.1111/tpj.70086</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Computational metabolomics reveals overlooked chemodiversity of alkaloid scaffolds in Piper fimbriulatum

  • Original language description

    Plant specialized metabolites play key roles in diverse physiological processes and ecological interactions. Identifying structurally novel metabolites, as well as discovering known compounds in new species, is often crucial for answering broader biological questions. The Piper genus (Piperaceae family) is known for its special phytochemistry and has been extensively studied over the past decades. Here, we investigated the alkaloid diversity of Piper fimbriulatum, a myrmecophytic plant native to Central America, using a metabolomics workflow that combines untargeted LC-MS/MS analysis with a range of recently developed computational tools. Specifically, we leverage open MS/MS spectral libraries and metabolomics data repositories for metabolite annotation, guiding isolation efforts toward structurally new compounds (i.e., dereplication). As a result, we identified several alkaloids belonging to five different classes and isolated one novel seco-benzylisoquinoline alkaloid featuring a linear quaternary amine moiety which we named fimbriulatumine. Notably, many of the identified compounds were never reported in Piperaceae plants. Our findings expand the known alkaloid diversity of this family and demonstrate the value of revisiting well-studied plant families using state-of-the-art computational metabolomics workflows to uncover previously overlooked chemodiversity. To contextualize our findings within a broader biological context, we employed a workflow for automated mining of literature reports of the identified alkaloid scaffolds and mapped the results onto the angiosperm tree of life. By doing so, we highlight the remarkable alkaloid diversity within the Piper genus and provide a framework for generating hypotheses on the biosynthetic evolution of these specialized metabolites. Many of the computational tools and data resources used in this study remain underutilized within the plant science community. This manuscript demonstrates their potential through a practical application and aims to promote broader accessibility to untargeted metabolomics approaches.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10608 - Biochemistry and molecular biology

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Plant Journal

  • ISSN

    0960-7412

  • e-ISSN

    1365-313X

  • Volume of the periodical

    121

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    14

  • Pages from-to

    e70086

  • UT code for WoS article

    001439074100001

  • EID of the result in the Scopus database

    2-s2.0-86000533164