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#gene editing Review Open access

Engineering Wheat for Compound Climate Extremes: Molecular Trade-Offs, Stress Memory, and Precision Genome Editing for Yield-Stable Resilience

Sep 2026 · Plants · Vol 15, pp. 2936 · 0 citations · 260 references
Wheat and Barley Genetics and Pathology

Abstract

Bread wheat (Triticum aestivum L.) increasingly encounters combinations of abiotic stresses that interact in time and whose effects are not predictable from single-stress responses. We define yield-stable resilience as the capacity to maintain grain yield under compound climate extremes without a significant penalty in yield or quality under favourable conditions; both components are required, and a line that tolerates stress while losing yield potential does not satisfy the definition. This critical review addresses three dimensions: the temporal architecture of stress across development; the biological control layers that run from perception through recovery to stress memory; and the precision-engineering strategies enabled by genome editing. We argue that field-level yield stability is rarely achieved by constitutively overexpressing or deleting a single stress-response gene. Instead, stress-integration networks must be engineered in a context-dependent, dosage-aware manner. To explain why single-gene solutions fall short, we examine molecular and physiological trade-offs, including water conservation versus transpirational cooling, photoprotection versus carbon acquisition, and stay-green versus remobilization. Stress-memory mechanisms, which range from chromatin modifications to persistent signalling states, offer a route to primed protection, but causal validation in wheat remains largely absent. The hexaploid wheat genome affords distinctive engineering opportunities through homoeologue-dosage control, promoter tuning and tissue-specific regulation. We propose an evidence-gated pathway that proceeds from mechanism to calibrated editing, to biologically realistic stress testing, to multi-environment yield testing, and finally to equitable deployment, and we treat breeding integration, introgression, recurrent selection and precision editing as a single pipeline rather than as competing alternatives.

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