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 of the metabolomic responses of wheat is required for breeding heat-tolerant varieties. In this study, the metabolome responses of heat-tolerant genotypes Imam and Norin 61, and suscep...

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Published in:Agriculture (Basel) 2022-06, Vol.12 (6), p.753
Main Authors: Osman, Salma O. M., Saad, Abu Sefyan I., Tadano, Shota, Takeda, Yoshiki, Yamasaki, Yuji, Tahir, Izzat S. A., Tsujimoto, Hisashi, Akashi, Kinya
Format: Article
Language:English
Subjects:
arid region
Biomarkers
Biomass
Chemical fingerprinting
Chemometrics
Climate change
Crop production
Data mining
Discriminant analysis
Fingerprinting
Fourier analysis
Fourier transforms
FTIR spectroscopy
Genotype & phenotype
Genotypes
Heat
Heat stress
Heat tolerance
Infrared analysis
Infrared spectroscopy
Light
linear discriminant analysis
Metabolomics
metabolomics markers
Plant breeding
Principal components analysis
Seeds
Software
Spectra
Spectrum analysis
Triticum aestivum L
Wheat
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Summary:Heat stress is one of the major environmental constraints for wheat production; thus, a comprehensive understanding of the metabolomic responses of wheat is required for breeding heat-tolerant varieties. In this study, the metabolome responses of heat-tolerant genotypes Imam and Norin 61, and susceptible genotype Chinese Spring were comparatively analyzed using Fourier transform infrared (FTIR) spectroscopy in combination with chemometric data mining techniques. Principal component analysis of the FTIR data suggested a spectral feature partially overlapping between the three genotypes. FTIR spectral biomarker assay showed similar heat responses between the genotypes for markers Fm482 and Fm1502, whereas genotype-dependent variations were observed for other markers. The markers Fm1251 and Fm1729 showed contrasting behaviors between heat-tolerant and susceptible genotypes, suggesting that these markers may potentially serve as a tool for distinguishing heat-tolerant genotypes. Linear discriminant analysis (LDA) of the spectra demonstrated a clear separation between the three genotypes in terms of the heat stress effect. Analysis of LDA coefficients identified several spectral regions that were potentially responsible for the discrimination of FTIR spectra between different genotypes and environments. These results suggest that a combination of FTIR and chemometrics can be a useful technique for characterizing the metabolic behavior of diverse wheat genotypes under heat stress.
ISSN:2077-0472
2077-0472
DOI:10.3390/agriculture12060753