1. |
2. ELIXIR plant sciences community roadmap 2024-2029Sebastian Beier, Kristina Gruden, Cyril Pommier, Stéphanie Sidibe-Bocs, Sarah Dyer, Pedro M. Barros, Keywan Hassani-Pak, Bruno Contreras-Moreira, Carissa Bleker, 2025, professional article Abstract: 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. Keywords: system biology, genotyping, plant Published in DiRROS: 04.04.2025; Views: 90; Downloads: 28
Link to file |
3. Relationships between the deep chlorophyll maximum and hydrographic characteristics across the Atlantic, Indian and Pacific oceansMarta Estrada, Mikel Latasa, Ana Maria Cabello, Patricia de la Fuente, Carles Guallar, Patricija Mozetič, 2024, original scientific article Abstract: The Malaspina-2010 circumnavigation expedition on board R/V Hesperides surveyed tropical and subtropical regions of the Atlantic, Indian and Pacific oceans between December 2010 and July 2011. This article examines the relationships between the distribution of chlorophyll a (Chl a), major inorganic nutrients and other hydrographic variables. A deep chlorophyll maximum (DCM) was found at most stations between 60 and 150 m depth; it occurred close to the level of 1% surface photosynthetically active radiation and was associated with the nitracline. There was a negative relationship between total Chl a at surface and the DCM depth, and between Chl a concentration at the DCM and DCM depth. In terms of Chl a concentration, picophytoplankton was the dominant size class at all sampled light intensities (surface, 20% of surface PAR and PAR at DCM), oceans and geoclimatic zones, except at some stations influenced by upwellings or divergences. Within the Chl a concentration ranges found in this study, the proportion of picophytoplankton increased with total Chl a, in contrast with some previous findings. Vertically integrated Chl a was positively correlated with surface Chl a, with similar slopes for the whole data set and for the different oceans and zones. In turn, surface Chl a and sea surface temperature showed a negative correlation for the Indian Ocean and the subtropical zone, a positive correlation for the Atlantic, and non-significant relationships for the remaining oceans and zones. Keywords: Malaspina 2010, chlorophyll a, nitracline, deep chlorophyll maximum, phytoplankton size fractionation, Atlantic Ocean, Pacific Ocean, Indian Ocean, hydrobiology, marine biology Published in DiRROS: 04.04.2025; Views: 98; Downloads: 57
Full text (4,04 MB) This document has many files! More... |
4. Be aware of transient dissolution processes in Co3O4 acidic oxygen evolution reaction electrocatalystsTatiana Priamushko, Evanie Franz, Anja Logar, Lazar Bijelić, Patrick Guggenberger, Daniel Escalera-López, Matej Zlatar, Jörg Libuda, Freddy Kleitz, Nejc Hodnik, Olaf Brummel, Serhiy Cherevko, 2025, original scientific article Published in DiRROS: 04.04.2025; Views: 90; Downloads: 59
Full text (4,55 MB) This document has many files! More... |
5. |
6. |
7. Ca2+-dependent H2O2 response in roots and leaves of barley - a transcriptomic investigationSabarna Bhattacharyya, Carissa Bleker, Bastian Meier, Maya Giridhar, Elena Ulland Rodriguez, Adrian Maximilian Braun, Edgar Peiter, Ute C. Vothknecht, Fatima Chigri, 2025, original scientific article Abstract: Background Ca2+ and H2O2 are second messengers that regulate a wide range of cellular events in response to different environmental and developmental cues. In plants, stress-induced H2O2 has been shown to initiate characteristic Ca2+ signatures; however, a clear picture of the molecular connection between H2O2-induced Ca2+ signals and H2O2-induced cellular responses is missing, particularly in cereal crops such as barley. Here, we employed RNA-seq analyses to identify transcriptome changes in roots and leaves of barley after H2O2 treatment under conditions that inhibited the formation of cytosolic Ca2+ transients. To that end, plasma membrane Ca2+ channels were blocked by LaCl3 application prior to stimulation of barley tissues with H2O2. Results We examined the expression patterns of 4246 genes that had previously been shown to be differentially expressed upon H2O2 application. Here, we further compared their expression between H2O2 and LaCl3 + H2O2 treatment. Genes showing expression patterns different to the previous study were considered to be Ca2+-dependent H2O2-responsive genes. These genes, numbering 331 in leaves and 1320 in roots, could be classified in five and four clusters, respectively. Expression patterns of several genes from each cluster were confirmed by RT-qPCR. We furthermore performed a network analysis to identify potential regulatory paths from known Ca2+-related genes to the newly identified Ca2+-dependent H2O2 responsive genes, using the recently described Stress Knowledge Map. This analysis indicated several transcription factors as key points of the responses mediated by the cross-talk between H2O2 and Ca2+. Conclusion Our study indicates that about 70% of the H2O2-responsive genes in barley roots require a transient increase in cytosolic Ca2+ concentrations for alteration in their transcript abundance, whereas in leaves, the Ca2+ dependency was much lower at about 33%. Targeted gene analysis and pathway modeling identified not only known components of the Ca2+ signaling cascade in plants but also genes that are not yet connected to stimuli-associated signaling. Potential key transcription factors identified in this study can be further analyzed in barley and other crops to ultimately disentangle the underlying mechanisms of H2O2-associated signal transduction mechanisms. This could aid breeding for improved stress resistance to optimize performance and productivity under increasing climate challenges. Keywords: ROS, stress, RNA-Seq, Ca2+ signaling, crosstalk, Hordeum vulgare Published in DiRROS: 03.04.2025; Views: 113; Downloads: 29
Full text (6,06 MB) This document has many files! More... |
8. |
9. Gut microbiome in cancer : the next big opportunity for better patient outcomes?Jure Povšin, Timotej Sotošek, Metka Novak, Barbara Breznik, 2025, review article Abstract: The gut microbiome, a diverse community of microorganisms in the human body, plays an important role in maintaining health and influences various processes such as digestion, immunity, and protection against pathogens. A person's unique gut microbiome, shaped by factors such as birth method, diet, antibiotics, and lifestyle, contributes to bodily functions such as nutrient metabolism, drug processing, and im-mune regulation. Changes in the gut microbiome are associated with a predisposition to cancer and can influence the effectiveness of cancer treatments. Dysbiosis in the gut microbiome can lead to inflammation, tumor development, and metastasis, highlight-ing its importance in cancer research and prevention. The gut microbiota significantly influences cancer development and treatment outcomes. Certain bacteria enhance the effects of therapies such as cyclophosphamide and contribute to the body's im-mune response against tumors. Microbes produce anti-cancer molecules and probiotic compounds, making them potential tools in cancer prevention and treatment. Future research aims to develop targeted antibiotics and explore fecal microbiota transfer to selectively manipulate the microbiota for improved cancer treatment. Due to genetic and physiological similarities, mouse models are invaluable in biomedical research. However, because the gut microbiome of humans and mice and the composition of the tumor microenvironment differ, direct comparison between these two models can be challenging in research. Bridging these gaps is crucial for comparative medicine, especially in cancer research where the microbiome plays an important role in treat-ment outcomes. One important area where the gut microbiome could offer potential new treatment options is in primary brain tumors such as gliomas. To date, there are no long-lasting effective treatments for this type of cancer, but research in mouse models shows a link between tumor progression and response to treatment with changes in the gut microbiome. Overall, the gut microbiome and its modulation represent an opportu-nity for more efficient future cancer treatment. Keywords: gut microbiome, cancer, treatment outcome, tumor models, glioma Published in DiRROS: 03.04.2025; Views: 144; Downloads: 69
Full text (785,91 KB) This document has many files! More... |
10. |