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MB Sample ID: SA174215

Local Sample ID:Sample_12A_Jeanmaire_LIU_GA6_01_2911
Subject ID:SU001931
Subject Type:Plant
Subject Species:Tetrastigma loheri
Taxonomy ID:1006131

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Combined analysis:

Analysis ID AN003005
Analysis type MS
Chromatography type Reversed phase
Chromatography system Thermo Scientific Ultimate-3000 UHPLC system
Column Agilent Acclaim 120 C18-column (2.1 mm x 100 mm, 5 µm)
MS Type ESI
MS instrument type QTOF
MS instrument name Bruker Daltonics maXis-II UHR-ESI-QqTOF
Ion Mode POSITIVE
Units ion intensity

MS:

MS ID:MS002794
Analysis ID:AN003005
Instrument Name:Bruker Daltonics maXis-II UHR-ESI-QqTOF
Instrument Type:QTOF
MS Type:ESI
MS Comments:Raw data were analyzed by using the online version of XCMS metabolomics software (version 1.10.9; Tautenhahn et al. 2012). To analyze the data in XCMS, we applied a pairwise comparison between infected and non-infected samples with default parameters for Bruker Q-TOF. After XCMS analysis, the difference reports were filtered. The features from XCMS with p-value < 0.05, intensities above 50000, and fold difference of at least 5, were analyzed further in Bruker Compass Data Analysis v4.3 and Metfrag Web (Ruttkies et al. 2016; https://msbi.ipb-halle.de/MetFragBeta/) to identify metabolites of interest. The neutral molecular formula of the precursor ions (desired features) and their MS/MS fragmentation spectra were then obtained in Bruker Compass Data Analysis and given as input in the MS/MS peak list in Metfrag. All other settings were kept at default values. Candidate metabolites were then retrieved with the highest scoring candidates subjected to additional analysis in CFM-ID (Allen et al. 2014; http://cfmid.wishartlab.com/) to confirm Metfrag candidates. Metfrag and CFM-ID are silico fragmentation tools that utilize known compounds from structure databases to calculate fragments that are matched to experimentally obtained spectra (Blaženović et al. 2018). In addition to these automated approaches, we have also performed a manual dereplication approach to verify the metabolites of interest, as described in previous publications (Gödecke et al. 2009; Nikolić et al. 2012; Nikolić et al. 2015; Nikolic et al. 2017).
Ion Mode:POSITIVE
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