Probing Differential Metabolome Responses among Wheat Genotypes to Heat Stress Using Fourier Transform Infrared-Based Chemical Fingerprinting

Heat stress is one of the major environmental constraints for wheat production; thus, a comprehensive understanding metabolomic responses required breeding heat-tolerant varieties. In this study, metabolome genotypes Imam and Norin 61, susceptible genotype Chinese Spring were comparatively analyzed using Fourier transform infrared (FTIR) spectroscopy in combination with chemometric data mining techniques. Principal component analysis FTIR suggested spectral feature partially overlapping between three genotypes. biomarker assay showed similar heat markers Fm482 Fm1502, whereas genotype-dependent variations observed other markers. The Fm1251 Fm1729 contrasting behaviors genotypes, suggesting that these may potentially serve as tool distinguishing Linear discriminant (LDA) spectra demonstrated clear separation terms effect. Analysis LDA coefficients identified several regions responsible discrimination different environments. These results suggest chemometrics can be useful technique characterizing metabolic behavior diverse under stress.