Concurrent Session
Ksenia Krasileva, PhD (she/her/hers)
University of California, Berkeley
Berkeley, CA, USA
Kyungyong Seong
University of California, Berkeley
Berkeley, CA, USA
Wei Wei
Postdoctoral fellow
University of California, Berkeley
Berkeley, California, United States
Brandon Vega
University of California, Berkeley
Berkeley, California, United States
Amanda Dee
University of California, Berkeley
Berkeley, California, United States
Griselda Ramirez-Bernardino
University of California, Berkeley
Berkeley, California, United States
Rakesh Kumar
University of California, Berkeley
Berkeley, California, United States
Lorena Parra
University of California, Berkeley
Berkeley, California, United States
Plants depend on intracellular immune receptors, primarily nucleotide-binding leucine-rich repeat receptors (NLRs), to detect pathogen-derived effectors and trigger defense responses. The Krasileva laboratory investigates the vast natural diversity of NLRs across plant lineages to uncover how receptor variation underpins immune specificity and resilience. Through integrative approaches combining comparative genomics, protein structure modeling, and high-throughput functional screening, we identify conserved NLR features and novel integrated domains that facilitate effector recognition. Focusing on the wheat stem rust resistance gene Sr50, we applied structure-guided rational design to expand its recognition profile. Using AlphaFold2-predicted models and effector docking simulations, we identified key residues within the leucine-rich repeat (LRR) domain and engineered targeted mutations that enable Sr50 to detect previously unrecognized Puccinia graminis effectors. These rationally modified Sr50 variants exhibit broadened resistance when expressed in wheat and Nicotiana systems, offering a blueprint for engineering durable immunity in cereals. This presentation will highlight our strategy for moving from natural NLR diversity to rational modification, using Sr50 as a case study. Our findings demonstrate how combining evolutionary insight with protein engineering can accelerate the development of broad-spectrum disease resistance in crops.