Metabolomic insights into salt stress responses of commercial Turkish wheat varieties

Soil salinity constrains early wheat growth and is accompanied by broad metabolic adjustment. This study characterized shoot-growth and 1H-NMR metabolomic responses to graded NaCl exposure in the Turkish wheat genotypes Altay and Kunduru and identified candidate salt-responsive metabolites associated with genotype-dependent responses. Seedlings were grown in quarter-strength Hoagland solution containing 0–1.0% NaCl. Shoot and root lengths were measured. The quantified metabolomics dataset comprised shoot (gövde; sample code G) extracts with three biological samples per genotype × NaCl condition (n = 3), analyzed by one-dimensional 1H NMR spectroscopy. Metabolite data were cube-root transformed and Pareto scaled. Unsupervised PCA, validated PLS-DA, VIP analysis, and FDR-corrected univariate tests were applied. Replicate-level shoot growth was analyzed using a two-factor model based on experimental-pack means. NaCl concentration significantly affected shoot length (F4,15 = 11.19, p = 0.00021), whereas the genotype main effect (F1,15 = 0.45, p = 0.512) and genotype × NaCl interaction (F4,11 = 0.74, p = 0.586) were not significant. PCA of Altay and Kunduru metabolite profiles explained 75.5% and 8.6% of variance in PC1 and PC2, respectively. Within-genotype PLS-DA models for 0, 0.5 and 1.0% NaCl showed good cross-validated performance (Altay: R 2 Y = 0.942, Q 2 = 0.821, accuracy = 100%; Kunduru: R 2 Y = 0.952, Q 2 = 0.692, accuracy = 88.9%) and significant exact permutation tests. Pairwise Altay-versus-Kunduru models at individual salt levels showed high apparent separation but did not reach significance in exact permutation testing ( p = 0.10), reflecting the small sample size. FDR-supported metabolite differences included asparagine, proline, alanine, lysine, serine, fructose and dimethylamine depending on salinity level. Salinity produced a clear concentration-dependent reduction in shoot growth, but the available growth data did not demonstrate a significant genotype × salinity interaction. Altay and Kunduru nevertheless exhibited distinct salt-associated metabolite profiles. The highlighted compounds should therefore be regarded as candidate salt-responsive metabolites and hypotheses for further physiological validation rather than validated biomarkers of salt tolerance.

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Publication Details

Journal
Discover Plants.
Published
2026-09-08
DOI
https://doi.org/10.1007/s44372-026-00868-7
Primary Topic
Plant Stress Responses and Tolerance
Type
article
Field-Weighted Citation Impact
0.00

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article

Metabolomic insights into salt stress responses of commercial Turkish wheat varieties

Çağdaş Dağ, Işılay Göktan, Yaren Kahraman, Cemre Sare Cansız et al.
Discover Plants.
Plant Stress Responses and Tolerance
article

Metabolomic insights into salt stress responses of commercial Turkish wheat varieties

Çağdaş Dağ, Işılay Göktan, Yaren Kahraman, Cemre Sare Cansız, Deniz Çalı, Merve Turğut, Nilufer Cakir, Alp E. Kazar
article en

Abstract

Soil salinity constrains early wheat growth and is accompanied by broad metabolic adjustment. This study characterized shoot-growth and 1H-NMR metabolomic responses to graded NaCl exposure in the Turkish wheat genotypes Altay and Kunduru and identified candidate salt-responsive metabolites associated with genotype-dependent responses. Seedlings were grown in quarter-strength Hoagland solution containing 0–1.0% NaCl. Shoot and root lengths were measured. The quantified metabolomics dataset comprised shoot (gövde; sample code G) extracts with three biological samples per genotype × NaCl condition (n = 3), analyzed by one-dimensional 1H NMR spectroscopy. Metabolite data were cube-root transformed and Pareto scaled. Unsupervised PCA, validated PLS-DA, VIP analysis, and FDR-corrected univariate tests were applied. Replicate-level shoot growth was analyzed using a two-factor model based on experimental-pack means. NaCl concentration significantly affected shoot length (F4,15 = 11.19, p = 0.00021), whereas the genotype main effect (F1,15 = 0.45, p = 0.512) and genotype × NaCl interaction (F4,11 = 0.74, p = 0.586) were not significant. PCA of Altay and Kunduru metabolite profiles explained 75.5% and 8.6% of variance in PC1 and PC2, respectively. Within-genotype PLS-DA models for 0, 0.5 and 1.0% NaCl showed good cross-validated performance (Altay: R 2 Y = 0.942, Q 2 = 0.821, accuracy = 100%; Kunduru: R 2 Y = 0.952, Q 2 = 0.692, accuracy = 88.9%) and significant exact permutation tests. Pairwise Altay-versus-Kunduru models at individual salt levels showed high apparent separation but did not reach significance in exact permutation testing ( p = 0.10), reflecting the small sample size. FDR-supported metabolite differences included asparagine, proline, alanine, lysine, serine, fructose and dimethylamine depending on salinity level. Salinity produced a clear concentration-dependent reduction in shoot growth, but the available growth data did not demonstrate a significant genotype × salinity interaction. Altay and Kunduru nevertheless exhibited distinct salt-associated metabolite profiles. The highlighted compounds should therefore be regarded as candidate salt-responsive metabolites and hypotheses for further physiological validation rather than validated biomarkers of salt tolerance.

Discover Plants.Vol. 3(1)
Koç University (TR)
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu
Zero hunger
Openalex Percentile: Top 13%
Plant Stress Responses and Tolerance
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