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Updated: Oct 24, 2026

Untargeted Liquid Chromatography-Mass Spectrometry-Based Metabolomics Analysis of Wheat Grain
Published on: March 13, 2020
Deciphering the dynamic genetic architecture of adult-plant salinity tolerance in bread wheat using multi-model GWAS
Sayed Mujtaba Sadaat1, Mohammadreza Bihamta2, Valiollah Mohammadi1
1Department of Agronomy and Plant Breeding, Faculty of Agriculture, University of Tehran, Karaj, Iran.
Background:
Soil salinity is a major constraint to wheat productivity, necessitating the identification of robust genetic loci for breeding. This study aims to dissect the genetic architecture of adult-plant salinity tolerance in a diverse panel of 298 Iranian wheat accessions. A multi-model GWAS framework (MLM, FarmCPU, and BLINK) was deployed under moderate (6 dS/m) and severe (12 dS/m) salinity stress. High-confidence consensus marker-trait associations (MTAs) were validated through comparative synteny analysis with the rice genome. Furthermore, the genomic predictive ability of gBLUP was evaluated across stress regimes.
Results:
We identified 45 consensus MTAs, revealing a dynamic "Genetic Handoff": constitutive growth-promoting loci predominated under moderate stress, while adaptive ion-homeostasis and "escape" loci emerged under severe stress. A major biomass-associated locus on chromosome 5B (TraesCS5B02G000100) was identified as a strict 1:1 ortholog to rice Os12g0641400 (83.53% identity), indicating high evolutionary conservation of sucrose partitioning. Under severe stress, genomic prediction accuracies for K+/Na+ ratio surged to 0.65, although yield prediction declined due to non-additive effects.
Conclusion:
Our findings advocate for a Haplotype-Informed Genomic Selection strategy, combining MAS for conserved high-effect loci like TaSUC4 with GS for polygenic backgrounds. This integrated approach provides a robust roadmap for developing salinity-resilient wheat cultivars.
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