Polygenic resistance is associated with altered early immune timing and changes in transcriptome network structure
Hadlik, M.; Baranek, M.; Barankova, K.; Kovacova, V.
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.
Similar papers in this journal
- Cell-type specific gating of gene regulatory modules as a hallmark of early immune responses in Arabidopsis leaves 96%
- The Arabidopsis WRR4A and WRR4B paralogous NLR proteins both confer recognition of multiple Albugo candida effectors 95%
- Overexpression of NDR1 Leads to Pathogen Resistance at Elevated Temperatures 95%
Similar papers in this journal
- Gene expression evolution in pattern-triggered immunity within Arabidopsis thaliana and across Brassicaceae species 96%
- N-terminally truncated helper NLR NRG1C antagonizes immunity mediated by its full-length neighbors NRG1A and NRG1B 95%
- The blast effector Pwl2 is a virulence factor that modifies the cellular localisation of host protein HIPP43 to suppress immunity. 95%
Similar papers in this journal
- Metatranscriptomic comparison of endophytic and pathogenic Fusarium-Arabidopsis interactions reveals plant transcriptional plasticity 95%
- Cloning of the rice Xo1 resistance gene and interaction of the Xo1 protein with the defense-suppressing Xanthomonas effector Tal2h 95%
- The Zymoseptoria tritici avirulence factor AvrStb6 accumulates in hyphae close to stomata and triggers a wheat defense response hindering fungal penetration 94%
Similar papers in this journal
- Evolutionary trade-offs at the Arabidopsis WRR4A resistance locus underpin alternate Albugo candida recognition specificities 95%
- Spatial accumulation of salicylic acid is regulated by RBOHD in potato immunity against viruses 95%
- Identification of INOSITOL PHOSPHORYLCERAMIDE SYNTHASE 2 (IPCS2) as a new rate-limiting component in Arabidopsis pathogen entry control 94%
Similar papers in this journal
- Contrasting functions of Arabidopsis SUMO1/2 isoforms with SUMO3 intersect to modulate innate immunity and global SUMOylome responses 95%
- Medicago truncatula CORYNE modulates inflorescence meristem branching, nutrient signaling, and arbuscular mycorrhizal symbiosis 94%
- The Phytophthora capsici RxLR effector CRISIS2 has roles in suppression of PTI and triggering cell death in host plant 94%
"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.