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Rice serves as a fundamental staple crop, supporting the dietary needs of nearly one-third of the global population. This critical role necessitates immediate and strategic efforts to develop multi-attribute genotypes to ensure sustainable food and nutritional security for the burgeoning population. The augmentation of rice production is not only vital for addressing immediate food demands but also crucial for fostering long-term sustainability, thereby supporting livelihoods and driving economic development. Achieving this transformation necessitates a holistic and systems-level understanding of the molecular and regulatory networks that govern phenotypic plasticity and agronomic performance. While coding regions are pivotal for expression, non-coding elements play an even more prominent role in regulating transcriptional activity and orchestrating essential biological processes. Natural allelic variation within these non-coding elements serves as an evolutionary substrate for regulatory rewiring, contributing to adaptive plasticity, domestication traits, and intraspecific diversification. Therefore, the precise modulation of desirable agronomic traits could be facilitated by targeted engineering of such elements, which often allows for the fine-tuning of allelic effects in terms of the attenuation and partial restoration of alleles to impact desirable traits over coding components, which often results in complete exclusion or lethality. Therefore, we attempted to provide a comprehensive synthesis of functionally characterized non-coding elements exclusively for rice, highlight their functional roles, and emphasize how natural variation within these elements is critical for selecting traits associated with domestication and the breeding of elite genotypes. Notably, the potential of engineered non-coding RNA elements for the enhancement of agronomically advantageous traits is critically discussed. The future roadmap of non-coding element editing in rice is expected to be significantly shaped by continuous technological innovations in the editing toolbox, coupled with breakthrough discoveries for non-coding elements influencing agronomical traits. These advances have the potential to revolutionize the development of superior rice genotypes, ultimately contributing to the global effort to ensure food and nutritional security.
Chandra et al. (Mon,) studied this question.