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Ključne besede: biological data analysis, graph theoretical algorithms, thresholding algorithms, gene co-expression
Objavljeno v DiRROS: 08.05.2026; Ogledov: 156; Prenosov: 99
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Povzetek: Understanding the molecular mechanisms behind plant response to stress can enhancebreeding strategies and help us design crop varieties with improved stress tolerance,yield, and quality. To investigate resource redistribution from growth- to defense-relatedprocesses in an essential tuber crop, potato, here we generate a large-scale compartmen-talized genome-scale metabolic model (GEM), potato-GEM. Apart from a large-scalereconstruction of primary metabolism, the model includes the full known potato sec-ondary metabolism, spanning over 566 reactions that facilitate the biosynthesis of 182distinct potato secondary metabolites. Constraint-based modeling identifies that theactivation of the largest amount of secondary (defense) pathways occurs at a decreaseof the relative growth rate of potato leaf, due to the costs incurred by defense. We thenobtain transcriptomics data from experiments exposing potato leaves to two bioticstress scenarios, a herbivore and a viral pathogen, and apply them as constraints toproduce condition-specific models. We show that these models recapitulate experimen-tally observed decreases in relative growth rates under treatment as well as changes inmetabolite levels between treatments, enabling us to pinpoint the metabolic rewiringunderlying growth–defense trade-offs. Potato- GEM thus presents a useful resource tostudy and broaden our understanding of potato and general plant defense responsesunder stress conditions.
Ključne besede: systems biology, constraint-based metabolic modeling, growth-defence trade-offs, secondary metabolism
Objavljeno v DiRROS: 24.09.2025; Ogledov: 963; Prenosov: 457
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Povzetek: 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.
Ključne besede: potato, Solanum tuberosum, abiotic stress responses, heat, drought, waterlogging, multi-omics, integrative omics, adaptomics, panomics
Objavljeno v DiRROS: 14.04.2025; Ogledov: 1251; Prenosov: 967
Celotno besedilo (2,89 MB)
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Povzetek: The ELIXIR Plant Sciences Community is an interdisciplinary group of researchers with diverse backgrounds from computer science to different fields of plant biology. We answer the needs of both bioinformaticians and plant biologists. The Community objective is to develop services supporting the integration and linking of phenotypic, genotypic, omics (e.g. expression, metabolomics, etc.), environmental, and bibliographic data. The underlying scientific use cases encompass fundamental and applied plant sciences, including genetics, system biology and omics approaches, within the broader context of climate change, agroecology, food security, and sustainable agriculture. To meet the current challenges in agriculture, the ELIXIR Community promotes tools, databases, standards, and best practices for plant research while developing joint initiatives such as international projects and events in collaboration with European infrastructures (EMPHASIS, AnaEE-ERIC, Euro-Bioimaging, METROFOOD-RI). The ELIXIR Community also supports the establishment of links to structuring national projects and initiatives such as NFDI in Germany, or the french Agroecology and ICT program. Despite ongoing efforts, challenges remain, such as the continued scattering of plant molecular and cellular data, which hampers efficient data integration and reuse. Additionally, progressing toward a comprehensive agriculture data space is essential to address the interdisciplinary challenges that modern agriculture faces. Strengthening engagement with related research communities, such as those working on plant pathogens, is also a priority to ensure a holistic approach to plant science and agricultural research. Finally the Plant Sciences Community links with other ELIXIR Communities and Focus Groups, in particular to contribute to the objectives and priority of the Biodiversity, Food Security and Pathogens and of the Cellular and Molecular Research scientific priority areas.
Ključne besede: system biology, genotyping, plant
Objavljeno v DiRROS: 04.04.2025; Ogledov: 1135; Prenosov: 446
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Ključne besede: odprti podatki, odprta znanost, delo z delotoki, projekt Spoznaj, okolje Galaxy, raziskovalni podatki, uporabljanje podatkov
Objavljeno v DiRROS: 12.03.2025; Ogledov: 1210; Prenosov: 571
Celotno besedilo (13,57 MB)
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