Multiscale modelling and systems analysis of potato spatio-temporal immune signallingZagorščak, Maja (Avtor) Blejec, Andrej (Mentor) Gruden, Kristina (Komentor) pan-transcriptomedifferential networksmulti-omicstime-seriesspatial responsemulti-way interactionsplant immune signallingAs sessile organisms, crops interact directly and indirectly with multiple herbivores and pathogens at daily basis, including pests that significantly reduce yields, however, dynamics of crop-pest interactions is relatively poorly understood. One of the world's most important vegetable crops is potato, and can be severely affected by various pathogens. To facilitate the progress in potato research, we focused on methods development and statistical analyses for precise characterisation of spatial and temporal immune signalling pathway dynamics in distinct potato cultivars, at different biological levels. To get a proper representation of genetic information within domesticated genotypes, synergy between bioinformatics, biostatistics, and network analyses approaches was established. Foremost, the potato pan-transcriptome was constructed. DiNAR, a Shiny application, was developed to gain deeper insight in complex phenomena of plant defence, discovering underlying molecular mechanisms and complex patterns. Spatio-temporal gene expression analyses and data visualisation, together with the usage of the graph theory for the modelling of large biological systems and plant defence responses, helped to identify cross-talk mechanisms between different hormone signalling, as well novel and key components relevant to the system. All developed methods and approaches can be easily improved by introduction of new data and can be used for any other species as well.20212021-05-13 07:15:10Doktorsko delo/naloga127009VisID: 2210COBISS_ID: 63531267sl