A Compendium of Advances on GWAS and QTL Atlas for Accelerating Trait Discovery in Eggplant
摘要
Vegetable crops serve as major nutrient sources for humanity and have been extensively cultivated over thousands of years of domestication. Among the primary vegetables belonging to the nightshade family, eggplants occupy a significant position in terms of both cultivation and global consumption. They are widely consumed fresh by diverse populations and are utilized as raw materials in various culinary applications and processing industries. The increasing global population and climate crisis underscore the urgency to elevate the demand for this vegetable. However, many desirable traits in eggplants are polygenic, often exhibiting complex inheritance patterns. Consequently, vegetable breeders encounter multiple challenges in improving eggplant traits. A comprehensive understanding of the expression frequencies of the genes and alleles that govern specific quantitative traits and phenotypes is essential. In this chapter, we discuss two prominent genetic tools and their applications in eggplant breeding. These tools provide insights into the genetic foundations of agronomically desirable traits, such as yield, nutritional value, disease resistance, and adaptability. This strategic approach represents a significant advancement in genetic analysis and has proven invaluable for identifying candidate genes. Additionally, quantitative trait locus (QTL) mapping in eggplant aids breeders by pinpointing specific genomic regions associated with traits of interest, including yield, disease resistance, and growth rate. The identification of these loci is instrumental for trait refinement through targeted selection, marker-assisted selection, and the enhancement of trait combinations by predicting breeding outcomes. The integration of these two technologies enhances the precision and effectiveness of breeding strategies, ultimately leading to improved genotypes through trait discovery-assisted breeding.