Engineering non-coding DNA Elements in Rice: an Elegant Approach To fine-tune Agronomical Advantageous Traits

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.

Authors

Institutions

Publication Details

Journal
Rice
Published
2025-12-01
DOI
https://doi.org/10.1186/s12284-025-00846-9
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Engineering non-coding DNA Elements in Rice: an Elegant Approach To fine-tune Agronomical Advantageous Traits

Tilak Chandra, Kutubuddin A. Molla, Jaiswal Sarika, Dinesh Kumar et al.
Rice
CRISPR and Genetic Engineering
article

Engineering non-coding DNA Elements in Rice: an Elegant Approach To fine-tune Agronomical Advantageous Traits

Tilak Chandra, Kutubuddin A. Molla, Jaiswal Sarika, Dinesh Kumar, Mir Asif Iquebal, Deependra Pratap Singh
article en

Abstract

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.

RiceVol. 18(1)
Indian Agricultural Statistics Research Institute (IN), Graphic Era University (IN), Central Rice Research Institute (IN)
Indian Council of Agricultural Research, ICAR-Indian Agricultural Statistics Research Institute
Zero hunger
Openalex Percentile: Top 36%
CRISPR and Genetic Engineering
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.