Rice Genomics and Genetics 2024, Vol.15, No.3, 132-141 http://cropscipublisher.com/index.php/rgg 134 into cultivated rice. These tools allow for the dissection of quantitative traits and the evaluation of gene action as single factors, thereby uncovering new alleles from unadapted wild rice accessions (Ali et al., 2020). Furthermore, the availability of genome-wide information on wild rice species through specialized databases has provided a valuable resource for identifying novel genes and alleles, designing molecular markers, and conducting comparative analyses (Figure 1) (Kamboj et al., 2020) Figure 1 Schematic diagram shows the denovo domestication of Australian wild rice through genome editing (Adopted from Kamboj et al., 2020) Image caption: Comprehensive workflow for developing improved rice varieties using CRISPR-Cas9, genome sequencing and gene mining to identify target genes, followed by precise gene editing and plant transformation, edited plants are screened, regenerated, genotyped and phenotyped, followed by field trials, the end result is a transgene-free genome-edited rice variety with improved traits for agricultural deployment (Adopted from Kamboj et al., 2020) 3.3 Functional genomics of wild rice traits Functional genomics has played a crucial role in elucidating the traits of wild rice that can be beneficial for cultivated varieties. Introgression lines (ILs) developed through backcross strategies combined with marker-assisted selection (MAS) have been instrumental in broadening the genetic base of existing cultivars. These ILs have high power for mapping quantitative trait loci (QTLs) and are used for evaluating the genetic
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