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Rapid LC‐MS‐based metabolomics method to study the Fusarium infection of barley
Author(s) -
Cajka Tomas,
Vaclavikova Marta,
Dzuman Zbynek,
Vaclavik Lukas,
Ovesna Jaroslava,
Hajslova Jana
Publication year - 2014
Publication title -
journal of separation science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.72
H-Index - 102
eISSN - 1615-9314
pISSN - 1615-9306
DOI - 10.1002/jssc.201301292
Subject(s) - metabolomics , principal component analysis , fusarium culmorum , chromatography , partial least squares regression , mass spectrometry , chemistry , hierarchical clustering , fusarium , linear discriminant analysis , biology , mathematics , botany , cluster analysis , statistics
Ultra high performance liquid chromatography with quadrupole/time‐of‐flight mass spectrometry was applied to evaluate the potential of nontarget metabolomic fingerprinting in order to distinguish F usarium ‐infected and control barley samples. First, the sample extraction and instrumental conditions were optimized to obtain the broadest possible representation of polar/medium‐polar compounds occurring in extracts obtained from barley grain samples. Next, metabolomic fingerprints of extracts obtained from nine barley varieties were acquired under ESI conditions in both positive and negative mode. Each variety of barley was tested in two variants: artificially infected by F usarium culmorum at the beginning of heading and a control group (no infection). In addition, the dynamics of barley infection development was monitored using this approach. The experimental data were statistically evaluated by principal component analysis, hierarchical clustering analysis, and orthogonal partial least‐squares discriminant analysis. The differentiation of barley in response to F . culmorum infection was feasible using this metabolomics‐based method. Analysis in positive mode provided a higher number of molecular features as compared to that performed under negative mode setting. However, the analysis in negative mode permitted the detection of deoxynivalenol and deoxynivalenol‐3‐glucoside considered as resistance‐indicator metabolites in barley.