20.500.12556/DiRROS-19986 Network modelling unravels mechanisms of crosstalk between ethylene and salicylate signalling in potato To develop novel crop breeding strategies, it is crucial to understand the mechanisms underlying the interaction between plants and their pathogens. Network modeling represents a powerful tool that can unravel properties of complex biological systems. In this study, we aimed to use network modeling to better understand immune signaling in potato (Solanum tuberosum). For this, we first built on a reliable Arabidopsis (Arabidopsis thaliana) immune signaling model, extending it with the information from diverse publicly available resources. Next, we translated the resulting prior knowledge network (20,012 nodes and 70,091 connections) to potato and superimposed it with an ensemble network inferred from time-resolved transcriptomics data for potato. We used different network modeling approaches to generate specific hypotheses of potato immune signaling mechanisms. An interesting finding was the identification of a string of molecular events illuminating the ethylene pathway modulation of the salicylic acid pathway through Nonexpressor of PR Genes1 gene expression. Functional validations confirmed this modulation, thus supporting the potential of our integrative network modeling approach for unraveling molecular mechanisms in complex systems. In addition, this approach can ultimately result in improved breeding strategies for potato and other sensitive crops. network modelling potato molecular biology true false true Angleški jezik Ni določen Neznano 2024-08-01 10:17:05 2024-08-01 10:17:06 2024-08-02 03:50:42 0000-00-00 00:00:00 2018 0 0 str. 488-499 Vol. 178 2018 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 2018-09-01 577 0032-0889 10.1104/pp.18.00450 4778575 http://dx.doi.org/10.1104/pp.18.00450 1 b286e410-4fcd-11ef-b487-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=27771 RAZ_Ramsak_Ziva_2018.pdf RAZ_Ramsak_Ziva_2018.pdf 1 FDB9519CC225B5FEEFF37359AA65C00D 84ad8ac3ab2c7e6a828da622229aa3b952b0b2ebfa2fbfec2c79542ddee0a610 f4d98754-4fcd-11ef-b487-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=27772 Nacionalni inštitut za biologijo 0 0 0