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Nitrogen (N) fertilizer sustains modern crop production, yet less than half of applied reactive N is recovered in harvested products, with the remainder lost through volatilization, denitrification, leaching, and runoff. Although hundreds of genes regulating N uptake, assimilation, and remobilization have been identified, their translation into stable field-level improvements remains limited. This gap reflects the fact that nitrogen use efficiency (NUE) is not a single-gene trait, but an emergent property of the integrated plant–soil–microbe system. Here, we organize the genetic determinants of NUE into four functional layers: hardware, comprising transporters and assimilatory enzymes that execute N fluxes; software, encompassing signaling and transcriptional networks that regulate these components; balance, referring to carbon-nitrogen coordination that supplies the energy and carbon skeletons required for assimilation; and the plant-associated microbiome as a second genome that expands plant nitrogen-acquisition capacity. Unlike previous NUE reviews organized by gene family or by physiological process, we tier each target by evidence strength, the supporting endpoint (yield at a given N rate or grain N recovery at maintained yield), and whether its benefit depends on N supply, and we retain failure cases and model-only paradigms alongside successes. Across these layers, effective NUE engineering should prioritize repair of steps shown to constrain flux and mitigation of associated trade-offs rather than indiscriminate enhancement of N flux. Key strategies include spatially constrained expression of high-activity modules, release of transcriptional brakes, carbon–nitrogen coordination through regulatory hubs, and breeding of stable host–microbe partnerships. We further propose a translational roadmap centered on cis-regulatory engineering and combinatorial testing of mechanistically complementary alleles. Treating NUE as an engineering problem of the integrated plant–soil–microbe system is essential for bridging the laboratory-to-field translation gap in nitrogen-efficient crop breeding.
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Hu et al. (2026) studied this question.
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