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

Salma O. M. Osman, Abu Sefyan I. Saad, Shota Tadano, Yoshiki Takeda, Yuji Yamasaki, Izzat S. A. Tahir, Hisashi Tsujimoto and Kinya Akashi
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Salma O. M. Osman: United Graduate School of Agricultural Sciences, Tottori University, 4-101 Koyama-Chou-Minami, Tottori 680-0945, Japan
Abu Sefyan I. Saad: Agricultural Research Corporation, Wad Medani P.O. Box 126, Sudan
Shota Tadano: United Graduate School of Agricultural Sciences, Tottori University, 4-101 Koyama-Chou-Minami, Tottori 680-0945, Japan
Yoshiki Takeda: Faculty of Agriculture, Tottori University, 4-101 Koyama-Chou-Minami, Tottori 680-0945, Japan
Yuji Yamasaki: Arid Land Research Center, Tottori University, 1390 Hamasaka, Tottori 680-0001, Japan
Izzat S. A. Tahir: Agricultural Research Corporation, Wad Medani P.O. Box 126, Sudan
Hisashi Tsujimoto: Arid Land Research Center, Tottori University, 1390 Hamasaka, Tottori 680-0001, Japan
Kinya Akashi: United Graduate School of Agricultural Sciences, Tottori University, 4-101 Koyama-Chou-Minami, Tottori 680-0945, Japan

Agriculture, 2022, vol. 12, issue 6, 1-14

Abstract: 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.

Keywords: Triticum aestivum L.; FTIR spectroscopy; chemometrics; metabolomics markers; arid region; linear discriminant analysis (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2022
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