Back

Polygenic resistance is associated with altered early immune timing and changes in transcriptome network structure

Hadlik, M.; Baranek, M.; Barankova, K.; Kovacova, V.

2025-11-29 plant biology
10.1101/2025.11.27.690962 bioRxiv
Show abstract

Downy mildew, caused by Plasmopara viticola, is a major threat to grapevine. To investigate how pyramiding resistance loci influences early immune processes, we generated 36 time-resolved transcriptomes (0, 6, 24 hpi) from genotypes carrying single (Rpv12), double (Rpv12+1), or triple (Rpv12+1+3) resistance loci, together with a susceptible control. Aggregated expression divergence revealed that multilocus genotypes showed detectable baseline transcriptional differences prior to infection and distinct temporal trajectories following inoculation. Co-expression analysis identified five higher-order metamodules and uncovered non-additive network restructuring, with the triple-locus line showing markedly reduced co-expression density rather than incremental strengthening. Layer-associated genes related to recognition, signal integration, and defense action displayed genotype- and time-specific expression patterns, suggesting that each locus combination is associated with characteristic shifts in immune-layer dynamics. Transcriptome profiles suggested that Rpv12 involves elevated transcript abundance of several EDS1-associated components despite its CNL-type origin; adding Rpv1 introduced pronounced early changes in recognition- and signaling-related genes; and stacking Rpv3 coincided with rapid, transient induction of transcription factors (e.g., WRKY47, NAC29) and metabolic defense pathways. Together, these results show that resistance loci are associated with non-additive differences in timing, network connectivity, and layer allocation of immune-associated transcriptional programs, revealing systems-level mechanisms underlying multilocus resistance.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.