1. Evidence-based unification of potato gene models with the UniTato collaborative genome browserMaja Zagorščak, Jan Zrimec, Carissa Bleker, Nadja Francesca Nolte, Mojca Juteršek, Živa Ramšak, Kristina Gruden, Marko Petek, 2024, original scientific article Abstract: Potato (Solanum tuberosum) is the most popular tuber crop and a model organism. A variety of gene models for potato exist, and despite frequent updates, they are not unified. This hinders the comparison of gene models across versions, limits the ability to reuse experimental data without significant re-analysis, and leads to missing or wrongly annotated genes. Here, we unify the recent potato double monoploid v4 and v6 gene models by developing an automated merging protocol, resulting in a Unified poTato genome model (UniTato). We subsequently established an Apollo genome browser (unitato.nib.si) that enables public access to UniTato and further community-based curation. We demonstrate how the UniTato resource can help resolve problems with missing or misplaced genes and can be used to update or consolidate a wider set of gene models or genome information. The automated protocol, genome annotation files, and a comprehensive translation table are provided at github.com/NIB-SI/unitato.
Keywords: bioinformatics analysis, plant genome annotation, gene model annotations, Phureja group, GFF files, poTato genome model, UniTato
Published in DiRROS: 11.06.2024; Views: 35; Downloads: 39
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2. Stress knowledge map : a knowledge graph resource for systems biology analysis of plant stress responsesCarissa Bleker, Živa Ramšak, Andras Bittner, Vid Podpečan, Maja Zagorščak, Bernhard Wurzinger, Špela Baebler, Marko Petek, Maja Križnik, Anže Županič, Kristina Gruden, 2024, original scientific article Abstract: Stress Knowledge Map (SKM; https://skm.nib.si) is a publicly available resource containing two complementary knowledge graphs that describe the current knowledge of biochemical, signaling, and regulatory molecular interactions in plants: a highly curated model of plant stress signaling (PSS; 543 reactions) and a large comprehensive knowledge network (488 390 interactions). Both were constructed by domain experts through systematic curation of diverse literature and database resources. SKM provides a single entry point for investigations of plant stress response and related growth trade-offs, as well as interactive explorations of current knowledge. PSS is also formulated as a qualitative and quantitative model for systems biology and thus represents a starting point for a plant digital twin. Here, we describe the features of SKM and show, through two case studies, how it can be used for complex analyses, including systematic hypothesis generation and design of validation experiments, or to gain new insights into experimental observations in plant biology.
Keywords: Stress knowledge map, knowledge graph, knowledge network, entry point, plant digital twin, plant stress responses, plant signaling, systems biology
Published in DiRROS: 11.06.2024; Views: 31; Downloads: 24
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3. pISA-tree : a data management framework for life science research projects using a standardised directory treeMarko Petek, Maja Zagorščak, Andrej Blejec, Živa Ramšak, Anna Coll Rius, Špela Baebler, Kristina Gruden, 2022, original scientific article Keywords: pISA-tree, ISA model, data management, research data, metadata
Published in DiRROS: 05.06.2024; Views: 90; Downloads: 59
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4. Identification of plasma biomarker candidates in glioblastoma using an antibody-array-based proteomic approachKlemen Zupančič, Andrej Blejec, Ana Herman, Matija Veber, Urška Verbovšek, Marjan Koršič, Miomir Knežević, Primož Rožman, Tamara Lah Turnšek, Kristina Gruden, Helena Motaln, 2014, original scientific article Abstract: Background. Glioblastoma multiforme (GBM) is a brain tumour with a very high patient mortality rate, with a median survival of 47 weeks. This might be improved by the identification of novel diagnostic, prognostic and predictive therapy-response biomarkers, preferentially through the monitoring of the patient blood. The aim of this study was to define the impact of GBM in terms of alterations of the plasma protein levels in these patients. Materials and methods. We used a commercially available antibody array that includes 656 antibodies to analyse blood plasma samples from 17 healthy volunteers in comparison with 17 blood plasma samples from patients with GBM. Results. We identified 11 plasma proteins that are statistically most strongly associated with the presence of GBM. These proteins belong to three functional signalling pathways: T-cell signalling and immune responses; cell adhesion and migration; and cell-cycle control and apoptosis. Thus, we can consider this identified set of proteins as potential diagnostic biomarker candidates for GBM. In addition, a set of 16 plasma proteins were significantly associated with the overall survival of these patients with GBM. Guanine nucleotide binding protein alpha (GNAO1) was associated with both GBM presence and survival of patients with GBM. Conclusions. Antibody array analysis represents a useful tool for the screening of plasma samples for potential cancer biomarker candidates in small-scale exploratory experiments; however, clinical validation of these candidates requires their further evaluation in a larger study on an independent cohort of patients.
Keywords: glioblastoma, proteomics, biomarker
Published in DiRROS: 16.04.2024; Views: 348; Downloads: 332
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5. Transcriptome-informed identification and characterization of Planococcus citri cis- and trans-isoprenyl diphosphate synthase genesMojca Juteršek, Iryna Gerasymenko, Marko Petek, Kristina Gruden, Špela Baebler, 2024, original scientific article Abstract: Insect physiology and reproduction depend on several terpenoid compounds, whose biosynthesis is mainly unknown. One enigmatic group of insect monoterpenoids are mealybug sex pheromones, presumably resulting from the irregular coupling activity of unidentified isoprenyl diphosphate synthases (IDSs). Here, we performed a comprehensive search for IDS coding sequences of the pest mealybug Planococcus citri. We queried the available genomic and newly generated short- and long-read P. citri transcriptomic data and identified 18 putative IDS genes, whose phylogenetic analysis indicates several gene family expansion events. In vitro testing confirmed regular short-chain coupling activity with five gene products. With the candidate with highest IDS activity, we also detected low amounts of irregular coupling products, and determined amino acid residues important for chain-length preference and irregular coupling activity. This work therefore provides an important foundation for deciphering terpenoid biosynthesis in mealybugs, including the sex pheromone biosynthesis in P. citri.
Keywords: insect pheromones, isoprenyl diphosphate synthase, monoterpenes, phylogenetic analysis
Published in DiRROS: 29.03.2024; Views: 221; Downloads: 97
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6. Candidate pathogenicity factor/effector proteins of ‘Candidatus Phytoplasma solani’ modulate plant carbohydrate metabolism, accelerate the ascorbate–glutathione cycle, and induce autophagosomesMarina Dermastia, Špela Tomaž, Rebeka Strah, Tjaša Lukan, Anna Coll Rius, Barbara Dušak, Timotej Čepin, Aleš Kladnik, Maja Zagorščak, Kristina Gruden, Maruša Pompe Novak, 2023, original scientific article Abstract: The pathogenicity of intracellular plant pathogenic bacteria is associated with the action of pathogenicity factors/effectors, but their physiological roles for most phytoplasma species, including ‘Candidiatus Phytoplasma solani’ are unknown. Six putative pathogenicity factors/effectors from six different strains of ‘Ca. P. solani’ were selected by bioinformatic analysis. The way in which they manipulate the host cellular machinery was elucidated by analyzing Nicotiana benthamiana leaves after Agrobacterium-mediated transient transformation with the pathogenicity factor/effector constructs using confocal microscopy, pull-down, and co-immunoprecipitation, and enzyme assays. Candidate pathogenicity factors/effectors were shown to modulate plant carbohydrate metabolism and the ascorbate–glutathione cycle and to induce autophagosomes. PoStoSP06, PoStoSP13, and PoStoSP28 were localized in the nucleus and cytosol. The most active effector in the processes studied was PoStoSP06. PoStoSP18 was associated with an increase in phosphoglucomutase activity, whereas PoStoSP28, previously annotated as an antigenic membrane protein StAMP, specifically interacted with phosphoglucomutase. PoStoSP04 induced only the ascorbate–glutathione cycle along with other pathogenicity factors/effectors. Candidate pathogenicity factors/effectors were involved in reprogramming host carbohydrate metabolism in favor of phytoplasma own growth and infection. They were specifically associated with three distinct metabolic pathways leading to fructose-6-phosphate as an input substrate for glycolysis. The possible significance of autophagosome induction by PoStoSP28 is discussed.
Keywords: autophagosome, effector, glycolysis, pathogenicity factor, StAMP
Published in DiRROS: 24.08.2023; Views: 558; Downloads: 255
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7. Chloroplast redox state changes mark cell-to-cell signaling in the hypersensitive responseTjaša Lukan, Anže Županič, Tjaša Mahkovec Povalej, Jacob O. Brunkard, Mirjam Kmetič, Mojca Juteršek, Špela Baebler, Kristina Gruden, 2023, original scientific article Abstract: Bisphenol A (BPA) is one of the most commonly used substances in the manufacture ofvarious everyday products. Growing concerns about its hazardous properties, including endocrinedisruption and genotoxicity, have led to its gradual replacement by presumably safer analogues inmanufacturing plastics. The widespread use of BPA and, more recently, its analogues has increasedtheir residues in the environment. However, our knowledge of their toxicological profiles is limitedand their combined effects are unknown. In the present study, we investigated the toxic effectscaused by single bisphenols and by the combined exposure of BPA and its two analogues, BPAP andBPC, after short (24-h) and prolonged (96-h) exposure in HepG2 spheroids. The results showed thatBPA did not reduce cell viability in HepG2 spheroids after 24-h exposure. In contrast, BPAP andBPC affected cell viability in HepG2 spheroids. Both binary mixtures (BPA/BPAP and BPA/BPC)decreased cell viability in a dose-dependent manner, but the significant difference was only observedfor the combination of BPA/BPC (both at 40μM). After 96-h exposure, none of the BPs studiedaffected cell viability in HepG2 spheroids. Only the combination of BPA/BPAP decreased cellviability in a dose-dependent manner that was significant for the combination of 4μM BPA and 4μMBPAP. None of the BPs and their binary mixtures studied affected the surface area and growth ofspheroids as measured by planimetry. In addition, all BPs and their binary mixtures studied triggeredoxidative stress, as measured by the production of reactive oxygen species and malondialdehyde,at both exposure times. Overall, the results suggest that it is important to study the effects of BPsas single compounds. It is even more important to study the effects of combined exposures, as thecombined effects may differ from those induced by single compounds.
Keywords: chloroplast redox state, hypersensitive response (HR)-conferred resistance, immune signaling, live cell imaging, Solanum tuberosum (potato), spatiotemporal analysis, stromules, virus resistance
Published in DiRROS: 13.04.2023; Views: 454; Downloads: 202
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