TY - JOUR
T1 - Application of an Integrated and Open Source Workflow for LC-HRMS Plant Metabolomics Studies. Case-Control Study: Metabolic Changes of Maize in Response to Fusarium verticillioides Infection
AU - Ciasca, Biancamaria
AU - Lanubile, Alessandra
AU - Marocco, Adriano
AU - Pascale, Michelangelo
AU - Logrieco, Antonio F.
AU - Lattanzio, Veronica M. T.
PY - 2020
Y1 - 2020
N2 - Liquid chromatography coupled with high-resolution mass spectrometry (LC-HRMS) represents the most powerful metabolomics platform to investigate biological systems. Reproducible and standardized workflows allow obtaining a meaningful biological interpretation. The purpose of this study was to set up and apply an open-source workflow for LC-HRMS plant metabolomics studies. Key steps of the proposed workflow were as follows: (1) experimental design, (2) sample preparation, (3) LC-HRMS analysis, (4) data processing, (5) custom database search, (6) statistical analysis, (7) compound identification, and (8) biochemical interpretation. Its applicability was evaluated through the study of metabolomics changes of two maize recombinant inbred lines with contrasting phenotypes with respect to disease severity after Fusarium verticillioides infection of seedlings. Analysis of data from the case-control study revealed abundance change in metabolites belonging to different metabolic pathways, including two amino acids (L-tryptophan and tyrosine), five flavonoids, and three N-hydroxynnamic acid amides.
AB - Liquid chromatography coupled with high-resolution mass spectrometry (LC-HRMS) represents the most powerful metabolomics platform to investigate biological systems. Reproducible and standardized workflows allow obtaining a meaningful biological interpretation. The purpose of this study was to set up and apply an open-source workflow for LC-HRMS plant metabolomics studies. Key steps of the proposed workflow were as follows: (1) experimental design, (2) sample preparation, (3) LC-HRMS analysis, (4) data processing, (5) custom database search, (6) statistical analysis, (7) compound identification, and (8) biochemical interpretation. Its applicability was evaluated through the study of metabolomics changes of two maize recombinant inbred lines with contrasting phenotypes with respect to disease severity after Fusarium verticillioides infection of seedlings. Analysis of data from the case-control study revealed abundance change in metabolites belonging to different metabolic pathways, including two amino acids (L-tryptophan and tyrosine), five flavonoids, and three N-hydroxynnamic acid amides.
KW - Fusarium verticillioides
KW - high-resolution mass spectrometry (HRMS)
KW - maize
KW - metabolomics
KW - open-source workflow
KW - Fusarium verticillioides
KW - high-resolution mass spectrometry (HRMS)
KW - maize
KW - metabolomics
KW - open-source workflow
UR - http://hdl.handle.net/10807/161992
U2 - 10.3389/fpls.2020.00664
DO - 10.3389/fpls.2020.00664
M3 - Article
SN - 1664-462X
VL - 11
SP - 1
EP - 15
JO - Frontiers in Plant Science
JF - Frontiers in Plant Science
ER -