20.500.12556/DiRROS-21962 Integration of multi-omics data and deep phenotyping provides insights into responses to single and combined abiotic stress in potato Potato (Solanum tuberosum) is highly water and space efficient but susceptible to abiotic stresses such as heat, drought, and flooding, which are severely exacerbated by climate change. Our understanding of crop acclimation to abiotic stress, however, remains limited. Here, we present a comprehensive molecular and physiological high-throughput profiling of potato (Solanum tuberosum, cv. Désirée) under heat, drought, and waterlogging applied as single stresses or in combinations designed to mimic realistic future scenarios. Stress responses were monitored via daily phenotyping and multi-omics analyses of leaf samples comprising proteomics, targeted transcriptomics, metabolomics, and hormonomics at several timepoints during and after stress treatments. Additionally, critical metabolites of tuber samples were analyzed at the end of the stress period. We performed integrative multi-omics data analysis using a bioinformatic pipeline that we established based on machine learning and knowledge networks. Waterlogging produced the most immediate and dramatic effects on potato plants, interestingly activating ABA responses similar to drought stress. In addition, we observed distinct stress signatures at multiple molecular levels in response to heat or drought and to a combination of both. In response to all treatments, we found a downregulation of photosynthesis at different molecular levels, an accumulation of minor amino acids, and diverse stress-induced hormones. Our integrative multi-omics analysis provides global insights into plant stress responses, facilitating improved breeding strategies toward climate-adapted potato varieties. potato Solanum tuberosum abiotic stress responses heat drought waterlogging multi-omics integrative omics adaptomics panomics Désirée abiotski stres integracija in interpretacija integrativna multi-omika pan-omika fenotipizacija strojno učenje true false true Angleški jezik Slovenski jezik Neznano 2025-04-14 14:18:01 2025-04-14 14:18:01 2025-10-24 03:50:15 0000-00-00 00:00:00 2025 0 0 Nasl. z nasl. zaslona; Soavtorji: Lamis Abdelhakim, Natalia Yaneth Rodriguez-Granados, Jitka Široká, Arindam Ghatak, Carissa Bleker, Andrej Blejec, Jan Zrimec, Ondřej Novák, Aleš Pěnčík, Špela Baebler, Lucia Perez Borroto, Christian Schuy, Anže Županič, Leila Afjehi-Sadat, Bernhard Wurzinger, Wolfram Weckwerth, Maruša Pompe Novak, Marc R Knight, Miroslav Strnad, Christian Bachem, Palak Chaturvedi, Sophia Sonnewald, Rashmi Sasidharan, Klára Panzarová, Kristina Gruden, Markus Teige; Opis vira z dne 3. 4. 2025; str. 1-42 iss. 1 Vol. 2025 0000-00-00 PostprintKoncna VTisku NiDoloceno 0000-00-00 0000-00-00 2025-04-02 581 1532-2548 10.1093/plphys/kiaf126 231332611 https://academic.oup.com/plphys/advance-article/doi/10.1093/plphys/kiaf126/8104150?login=false 1 83c9997c-192a-11f0-963a-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=31678 RAZ_Zagorscak_Maja_2025.pdf RAZ_Zagorscak_Maja_2025.pdf 1 0317F90B3D949A16D9BABB53E6C12B94 c3867ca73143e494ee9423ef5c96120e762a49cbc733f5af0517b8a3c548ca8b ebafb144-192a-11f0-963a-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=31679 kiaf126_supplementary_data.zip kiaf126_supplementary_data.zip Dopolnilne informacije 1 C77D769D28960822E4947892B88A729D 7dc11dad7b428f38418cf2f1d7e2924ab2a25b85aba27f59e5e15d5594fa3d7f afe64b55-192c-11f0-963a-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=31680 Nacionalni inštitut za biologijo 0 0 0