Rapid screening of secondary aromatic metabolites in Populus trichocarpa leaves.
High-throughput analysis
Metabolomics
Populus trichocarpa
Pyrolysis-molecular beam mass spectrometry
Journal
Biotechnology for biofuels and bioproducts
ISSN: 2731-3654
Titre abrégé: Biotechnol Biofuels Bioprod
Pays: England
ID NLM: 9918300888906676
Informations de publication
Date de publication:
10 Mar 2023
10 Mar 2023
Historique:
received:
22
08
2022
accepted:
20
02
2023
entrez:
10
3
2023
pubmed:
11
3
2023
medline:
11
3
2023
Statut:
epublish
Résumé
High-throughput metabolomics analytical methodology is needed for population-scale studies of bioenergy-relevant feedstocks such as poplar (Populus sp.). Here, the authors report the relative abundance of extractable aromatic metabolites in Populus trichocarpa leaves rapidly estimated using pyrolysis-molecular beam mass spectrometry (py-MBMS). Poplar leaves were analyzed in conjunction with and validated by GC/MS analysis of extracts to determine key spectral features used to build PLS models to predict the relative composition of extractable aromatic metabolites in whole poplar leaves. The Pearson correlation coefficient for the relative abundance of extractable aromatic metabolites based on ranking between GC/MS analysis and py-MBMS analysis of the Boardman leaf set was 0.86 with R The simplified py-MBMS method is capable of rapidly screening leaf tissue for relative abundance of extractable aromatic secondary metabolites to enable prioritization of samples in large populations requiring comprehensive metabolomics that will ultimately inform plant systems biology models and advance the development of optimized biomass feedstocks for renewable fuels and chemicals.
Sections du résumé
BACKGROUND
BACKGROUND
High-throughput metabolomics analytical methodology is needed for population-scale studies of bioenergy-relevant feedstocks such as poplar (Populus sp.). Here, the authors report the relative abundance of extractable aromatic metabolites in Populus trichocarpa leaves rapidly estimated using pyrolysis-molecular beam mass spectrometry (py-MBMS). Poplar leaves were analyzed in conjunction with and validated by GC/MS analysis of extracts to determine key spectral features used to build PLS models to predict the relative composition of extractable aromatic metabolites in whole poplar leaves.
RESULTS
RESULTS
The Pearson correlation coefficient for the relative abundance of extractable aromatic metabolites based on ranking between GC/MS analysis and py-MBMS analysis of the Boardman leaf set was 0.86 with R
CONCLUSIONS
CONCLUSIONS
The simplified py-MBMS method is capable of rapidly screening leaf tissue for relative abundance of extractable aromatic secondary metabolites to enable prioritization of samples in large populations requiring comprehensive metabolomics that will ultimately inform plant systems biology models and advance the development of optimized biomass feedstocks for renewable fuels and chemicals.
Identifiants
pubmed: 36899393
doi: 10.1186/s13068-023-02287-2
pii: 10.1186/s13068-023-02287-2
pmc: PMC9999501
doi:
Types de publication
Journal Article
Langues
eng
Pagination
41Subventions
Organisme : Office of Science
ID : Center for Bioenergy Innovation
Organisme : Office of Science
ID : Center for Bioenergy Innovation
Organisme : Office of Science
ID : Center for Bioenergy Innovation
Organisme : Office of Science
ID : Center for Bioenergy Innovation
Organisme : Office of Science
ID : Center for Bioenergy Innovation
Organisme : Office of Energy Efficiency and Renewable Energy
ID : DE-AC36-08GO28308
Organisme : Office of Energy Efficiency and Renewable Energy
ID : DE-AC36-08GO28308
Organisme : U.S. Department of Energy
ID : DE-AC05-00OR22725
Organisme : U.S. Department of Energy
ID : DE-AC05-00OR22725
Organisme : U.S. Department of Energy
ID : DE-AC05-00OR22725
Informations de copyright
© 2023. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.
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