Literature DB >> 30786088

Comprehensive mass spectrometry-guided phenotyping of plant specialized metabolites reveals metabolic diversity in the cosmopolitan plant family Rhamnaceae.

Kyo Bin Kang1,2,3, Madeleine Ernst1, Justin J J van der Hooft1,4, Ricardo R da Silva1, Junha Park3, Marnix H Medema4, Sang Hyun Sung3, Pieter C Dorrestein1.   

Abstract

Plants produce a myriad of specialized metabolites to overcome their sessile habit and combat biotic as well as abiotic stresses. Evolution has shaped the diversity of specialized metabolites, which then drives many other aspects of plant biodiversity. However, until recently, large-scale studies investigating the diversity of specialized metabolites in an evolutionary context have been limited by the impossibility of identifying chemical structures of hundreds to thousands of compounds in a time-feasible manner. Here we introduce a workflow for large-scale, semi-automated annotation of specialized metabolites and apply it to over 1000 metabolites of the cosmopolitan plant family Rhamnaceae. We enhance the putative annotation coverage dramatically, from 2.5% based on spectral library matches alone to 42.6% of total MS/MS molecular features, extending annotations from well-known plant compound classes into dark plant metabolomics. To gain insights into substructural diversity within this plant family, we also extract patterns of co-occurring fragments and neutral losses, so-called Mass2Motifs, from the dataset; for example, only the Ziziphoid clade developed the triterpenoid biosynthetic pathway, whereas the Rhamnoid clade predominantly developed diversity in flavonoid glycosides, including 7-O-methyltransferase activity. Our workflow provides the foundations for the automated, high-throughput chemical identification of massive metabolite spaces, and we expect it to revolutionize our understanding of plant chemoevolutionary mechanisms.
© 2019 The Authors The Plant Journal © 2019 John Wiley & Sons Ltd.

Entities:  

Keywords:  Rhamnaceae; annotation; classification; mass spectrometry; specialized metabolites; technical advance

Mesh:

Substances:

Year:  2019        PMID: 30786088     DOI: 10.1111/tpj.14292

Source DB:  PubMed          Journal:  Plant J        ISSN: 0960-7412            Impact factor:   6.417


  16 in total

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Journal:  Plant Signal Behav       Date:  2021-08-26

4.  The use of ecological analytical tools as an unconventional approach for untargeted metabolomics data analysis: the case of Cecropia obtusifolia and its adaptive responses to nitrate starvation.

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6.  Untargeted Metabolomics Sheds Light on the Diversity of Major Classes of Secondary Metabolites in the Malpighiaceae Botanical Family.

Authors:  Helena Mannochio-Russo; Rafael F de Almeida; Wilhan D G Nunes; Paula C P Bueno; Andrés M Caraballo-Rodríguez; Anelize Bauermeister; Pieter C Dorrestein; Vanderlan S Bolzani
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7.  Metabolomic and Gene Expression Studies Reveal the Diversity, Distribution and Spatial Regulation of the Specialized Metabolism of Yacón (Smallanthus sonchifolius, Asteraceae).

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Journal:  Int J Mol Sci       Date:  2020-06-26       Impact factor: 5.923

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Journal:  Front Plant Sci       Date:  2019-10-25       Impact factor: 5.753

9.  Molecular Network-Guided Alkaloid Profiling of Aerial Parts of Papaver nudicaule L. Using LC-HRMS.

Authors:  Kwangho Song; Jae-Hyeon Oh; Min Young Lee; Seok-Geun Lee; In Jin Ha
Journal:  Molecules       Date:  2020-06-05       Impact factor: 4.411

10.  Chemical Profiling Provides Insights into the Metabolic Machinery of Hydrocarbon-Degrading Deep-Sea Microbes.

Authors:  Aldo Moreno-Ulloa; Victoria Sicairos Diaz; Javier A Tejeda-Mora; Marla I Macias Contreras; Fernando Díaz Castillo; Abraham Guerrero; Ricardo Gonzalez Sanchez; Omar Mendoza-Porras; Rafael Vazquez Duhalt; Alexei Licea-Navarro
Journal:  mSystems       Date:  2020-11-10       Impact factor: 6.496

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