Comprehensive identification and characterization of candidate effector proteins in Puccinia triticina reveals insights into the wheat leaf rust pathogenesis

The biotrophic pathogen Puccinia triticina is the causative agent of the most vulnerable foliar disease, namely leaf rust disease of wheat. The pathogen-secreted effectors are essential in modulating fungal virulence and host immune responses. Despite their significance, potential effectors and their underlying mechanisms governing host susceptibility remain elusive. In the present study, we employed an in silico approach to identify and characterise effector proteins from the P. triticina proteome. Later, performed temporal expression profiling to prioritise effector candidates associated with rust disease. Here, a total of 273 high-confidence effector candidates were identified and analysed their physicochemical properties, domains, motifs, and functional annotations, to assess their conservation and dynamics. Although most of the effectors were uncharacterised, the conserved motif virulence-associated [YFW]xC was notably enriched in the effector repertoire. Comparative PHI-base annotation highlighted similarities with known fungal virulence factors involved in host susceptibility. Effectors harbouring CAZyme activity indicate involvement in host cell wall modification. Promoter analysis identified multiple stress- and defence-related transcription factor binding sites, suggesting regulated expression during infection. Transcriptome analysis revealed that 20 effector genes were significantly upregulated during P. triticina infection. qRT-PCR validated the expression of 4 highly induced effector transcripts following P. triticina infection in susceptible wheat variety. Specifically, two of these candidates demonstrated biphasic expression pattern that aligns contrasting PTI- and ETI-mediated defense mechanisms critical for sustained virulence. Overall, this study provides a comprehensive framework for identifying functionally relevant P. triticina effectors and offers insight for future effector-target studies and effector-based leaf rust management strategies.