ArticleFrontiers in plant science2025
Watkins wheat landraces decode nitrogen-driven biomass trade-offs: GWAS exposes root-shoot dialectics and elite landraces for resilient agriculture.
Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- miRNA Profiling Reveals the Role of Gibberellin Signaling Pathway in Low-Nitrogen Stress Adaptation of Xinjiang Spring Wheat.Plants (Basel, Switzerland) · 2026Article
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7 authors.
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Abstract
Introduction: Nitrogen limitation is a critical abiotic stressor that disrupts the balance between plants and their environment, imposing trade-offs in biomass allocation that threaten crop productivity and food security. While modern breeding programs often focus on improving shoot performance, the genetic mechanisms that coordinate root-shoot responses under nitrogen stress remain poorly understood. This study aimed to dissect the molecular and physiological foundations of nitrogen-driven resilience in wheat, leveraging the genetically diverse Watkins wheat landraces as a source of adaptive alleles. Methods: A total of 308 Watkins wheat landraces were phenotyped under low nitrogen (LN) and normal nitrogen (NN) conditions to assess root-shoot allocation strategies. Genome-wide association studies (GWAS) were conducted to identify candidate genes governing nitrogen-responsive traits. Functional annotation and transcriptomic validation were used to elucidate gene networks, and haplotype mapping was employed to link allelic variation to geographic adaptation. Multivariate analysis was performed to classify biomass allocation strategies among the landraces. Results: Phenotypic analysis revealed stark differences in root-shoot allocation strategies under LN and NN conditions. GWAS identified 130 candidate genes, including root-specific Discussion: By integrating genomics, phenomics, and haplotype mapping, this study connects molecular mechanisms underlying nutrient stress with ecophysiological adaptation. Key genes, such as
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