Complementary Approaches to Dissect Late Leaf Rust Resistance in an Interspecific Raspberry Population

Over the last ten years, global raspberry production has increased by 47.89%, based mainly on the red raspberry species (Rubus idaeus). However, the black raspberry (Rubus occidentalis), although less consumed, is resistant to one of the most important diseases for the crop, the late leaf rust caused by Acculeastrum americanum fungus. In this context, genetic resistance is the most sustainable way to control the disease, mainly because there are no registered fungicides for late leaf rust in Brazil. Therefore, the aim was to understand the genetic architecture that controls resistance to late leaf rust in raspberries. For that, we used an interspecific multi-parental population using the species mentioned above as parents, two different statistical approaches to associate the phenotypes with markers (GWAS and copula graphical models), and two phenotyping methodologies from the first to the seventeenth Day After Inoculation (D.A.I.) (high-throughput phenotyping with a multispectral camera and traditional phenotyping by disease severity scores). Our findings indicate that a locus of higher effect, at position 13.3 Mb on chromosome five, possibly controls late leaf rust resistance, as both GWAS and the network suggested the same marker. Of the twelve genes flanking its region, four were possible receptors, three were likely defense executors, one gene was likely part of signaling cascades, and four were classified as non-defense related. Although the network and GWAS indicated the same higher effect genomic region, the network identified other different candidate regions, potentially complementing the genetic control comprehension.