Deciphering the dynamic genetic architecture of adult-plant salinity tolerance in bread wheat using multi-model GWAS and genomic prediction.
- 1Department of Agronomy and Plant Breeding, Faculty of Agriculture, University of Tehran, Karaj, Iran.
- 2Department of Agronomy and Plant Breeding, Faculty of Agriculture, University of Tehran, Karaj, Iran. [email protected].
- 3Crop and Horticultural Science Research Department, Agricultural Research, Education and Extension Organization (AREEO), Isfahan Agricultural and Natural Resources Research and Education Center, Isfahan, Iran.
Abstract
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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BibTeX
@article{sadaat2026deciphering,
title = {{Deciphering the dynamic genetic architecture of adult-plant salinity tolerance in bread wheat using multi-model GWAS and genomic prediction.}},
author = {Sayed Mujtaba Sadaat and Mohammadreza Bihamta and Valiollah Mohammadi and Mehrdad Mahlooji},
journal = {BMC plant biology},
year = {2026},
month = jul,
doi = {10.1186/s12870-026-09622-3},
url = {https://europepmc.org/article/MED/42907756},
note = {CC BY-NC-ND},
}
RIS
TY - JOUR
TI - Deciphering the dynamic genetic architecture of adult-plant salinity tolerance in bread wheat using multi-model GWAS and genomic prediction.
AU - Sayed Mujtaba Sadaat
AU - Mohammadreza Bihamta
AU - Valiollah Mohammadi
AU - Mehrdad Mahlooji
PY - 2026
DA - 2026/07/01
JO - BMC plant biology
DO - 10.1186/s12870-026-09622-3
UR - https://europepmc.org/article/MED/42907756
AB - 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.
SN - 1471-2229
ER -