A protocol for high-throughput, untargeted forest community metabolomics using mass spectrometry molecular networks.
Appl Plant Sci
; 6(3): e1033, 2018 Mar.
Article
en En
| MEDLINE
| ID: mdl-29732263
ABSTRACT
PREMISE OF THE STUDY We describe a field collection, sample processing, and ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) instrumental and bioinformatics method developed for untargeted metabolomics of plant tissue and suitable for molecular networking applications. METHODS AND RESULTS:
A total of 613 leaf samples from 204 tree species was collected in the field and analyzed using UHPLC-MS/MS. Matching of molecular fragmentation spectra generated over 125,000 consensus spectra representing unique molecular structures, 26,410 of which were linked to at least one structurally similar compound.CONCLUSIONS:
Our workflow is able to generate molecular networks of hundreds of thousands of compounds representing broad classes of plant secondary chemistry and a wide range of molecular masses, from 100 to 2500 daltons, making possible large-scale comparative metabolomics, as well as studies of chemical community ecology and macroevolution in plants.
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01-internacional
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MEDLINE
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En
Revista:
Appl Plant Sci
Año:
2018
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Article