Machine learning-guided multi-omics reveals iron-dependent hormonal signaling drives root morphological plasticity in wheat under temperature stress
收藏NIAID Data Ecosystem2026-05-10 收录
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https://www.ncbi.nlm.nih.gov/sra/SRP666191
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资源简介：
We aimed to elucidate the elusive physiological mechanism converting thermodynamic signals into root remodeling. We hypothesized that wheat roots adapt to opposing cold and heat stresses through convergent morphological plasticity, driven by distinct hormonal signaling pathways that are coordinated by cellular iron homeostasis.
创建时间：
2026-01-27
