MOLECULAR GENETICS AND GENOME EDITING IN RICE (ORYZA SATIVA L.): INTEGRATING GENE DISCOVERY, FUNCTIONAL GENOMICS AND CRISPR-BASED PRECISION BREEDING
DOI:
https://doi.org/10.4238/42p3ww53Keywords:
Rice; Molecular genetics; Functional genomics; CRISPR/Cas genome editing; Multi-omics; Precision breeding; Stress tolerance.Abstract
Rice is a major crop for which productivity and quality are being challenged by climate change, the development of new
biotic stressors and pests, and the need for sustainable resource use. Through advances in molecular genetics and genomics,
there may be greater opportunities to identify key genes and alleles controlling this large range of important agronomic traits.
This review summarizes the potential pathways through which genomic resources, gene discovery, functional genomics and
genome editing (based on CRISPR technology) can be integrated to accelerate rice improvement. Using examples, the role of
reference genomes, pan-genomes, genome resequencing, genome-wide association studies, quantitative trait loci mapping,
and genomic selection in the discovery of candidate loci for yield, plant architecture, stress tolerance, disease resistance, and
grain quality are discussed. In addition, principles in using transcriptomics, reverse genetics, gene-regulatory networks and
multi-omics to prioritize candidates and infer gene function are considered, as well as the latest approaches in genome
editing: CRISPR/Cas9, Cas12a, base editing, prime editing, multiplex editing, and promoter editing for yield, stress, and
quality enhancements. Although most advances have been made, translation into the field is still predicted to be limited by
genotype-dependent transformation and regeneration, off-target effects, editing efficiency, background effects, pleiotropy,
and validation on a large scale in the field. An integrated gene-to-cultivar framework for linking genomic discovery and
multi-omics evidence with functional validation, specific genome modification, molecular characterization, and multi
environmental field evaluation is proposed. Combining such methods with traditional breeding and genomic selection may
help to develop productive, resilient, and high-quality rice cultivars adapted to various target environments and farmer and
consumer priorities.
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