Ultra-high-performance liquid chromatography
high-resolution mass spectrometry analysis
We have previously carried out a gas chromatography-mass spectrometry
(GC-MS)-based metabolite profiling analysis in leaf disks from ferns
(M. scolopendria and P. aureum ) and angiosperms (V.
unguiculata and N. tabacum ) species harvested throughout the day
(05:00 h, 08:00 h, 14:00 h and 17:00 h) (Lima et al. 2019). This
GC-MS platform is mostly related to the analysis of primary metabolites
(Lisec et al. 2006). Here, we extended the metabolic
characterization of ferns and angiosperms by carrying out an
ultra-high-performance liquid chromatography high-resolution mass
spectrometry (LC-MS) analysis, which mostly detect secondary metabolites
(Perez de Souza et al. 2021), using samples from the same
experiment carried out previously (Lima et al. 2019). Metabolites
extraction and the LC-MS analysis were carried out exactly as described
earlier (Tohge & Fernie 2010). The mass spectral data was first
analysed using a metabolic fingerprinting approach followed by the
identification of metabolites through the use of MS-DIAL software
(Tsugawa et al. 2015), XCMS (Smith et al. 2006) and the
MetaboanalystR package on R (Pang et al. 2020).