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  • 1.
    Fernandes, Ricardo A.
    et al.
    Radcliffe Department of Medicine, John Radcliffe Hospital, University of Oxford, United Kingdom / Medical Research Council Human Immunology Unit, John Radcliffe Hospital, University of Oxford, United Kingdom / Department of Molecular and Cellular Physiology, Department of Structural Biology, Stanford University, United States.
    Ganzinger, Kristina A.
    Department of Chemistry, University of Cambridge, United Kingdom / Living Matter Department, Physics of Cellular Interactions Group, AMOLF, Amsterdam, Netherlands.
    Tzou, Justin C.
    Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, United States.
    Jönsson, Peter
    Department of Chemistry, University of Cambridge, United Kingdom / Department of Chemistry, Lund University, Sweden.
    Lee, Steven F.
    Department of Chemistry, University of Cambridge, United Kingdom.
    Palayret, Matthieu
    Department of Chemistry, University of Cambridge, United Kingdom.
    Santos, Ana Mafalda
    Radcliffe Department of Medicine, John Radcliffe Hospital, University of Oxford, United Kingdom / Medical Research Council Human Immunology Unit, John Radcliffe Hospital, University of Oxford, United Kingdom.
    Carr, Alexander R.
    Department of Chemistry, University of Cambridge, United Kingdom.
    Ponjavic, Aleks
    Department of Chemistry, University of Cambridge, United Kingdom.
    Chang, Veronica T.
    Radcliffe Department of Medicine, John Radcliffe Hospital, University of Oxford, United Kingdom / Medical Research Council Human Immunology Unit, John Radcliffe Hospital, University of Oxford, United Kingdom / Neurobiology Division, Medical Research Council Laboratory of Molecular Biology, Cambridge, United Kingdom.
    Macleod, Charlotte
    Department of Chemistry, University of Cambridge, United Kingdom.
    Lagerholm, B. Christoffer
    Radcliffe Department of Medicine, John Radcliffe Hospital, University of Oxford, United Kingdom.
    Lindsay, Alan E.
    Mathematics Department, University of British Columbia, Vancouver, Canada.
    Dushek, Omer
    Sir William Dunn School of Pathology, University of Oxford, United Kingdom / Wolfson Centre for Mathematical Biology, University of Oxford, United Kingdom.
    Tilevik, Andreas
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre. School of Bioscience, University of Skövde, Sweden.
    Davis, Simon J.
    Radcliffe Department of Medicine, John Radcliffe Hospital, University of Oxford, United Kingdom / Medical Research Council Human Immunology Unit, John Radcliffe Hospital, University of Oxford, United Kingdom.
    Klenerman, David
    Department of Chemistry, University of Cambridge, United Kingdom.
    A cell topography-based mechanism for ligand discrimination by the T cell receptor2019In: Proceedings of the National Academy of Sciences of the United States of America, ISSN 0027-8424, E-ISSN 1091-6490, Vol. 116, no 28, p. 14002-14010Article in journal (Refereed)
    Abstract [en]

    The T cell receptor (TCR) initiates the elimination of pathogens and tumors by T cells. To avoid damage to the host, the receptor must be capable of discriminating between wild-type and mutated self and nonself peptide ligands presented by host cells. Exactly how the TCR does this is unknown. In resting T cells, the TCR is largely unphosphorylated due to the dominance of phosphatases over the kinases expressed at the cell surface. However, when agonist peptides are presented to the TCR by major histocompatibility complex proteins expressed by antigen-presenting cells (APCs), very fast receptor triggering, i.e., TCR phosphorylation, occurs. Recent work suggests that this depends on the local exclusion of the phosphatases from regions of contact of the T cells with the APCs. Here, we developed and tested a quantitative treatment of receptor triggering reliant only on TCR dwell time in phosphatase-depleted cell contacts constrained in area by cell topography. Using the model and experimentally derived parameters, we found that ligand discrimination likely depends crucially on individual contacts being ∼200 nm in radius, matching the dimensions of the surface protrusions used by T cells to interrogate their targets. The model not only correctly predicted the relative signaling potencies of known agonists and nonagonists but also achieved this in the absence of kinetic proofreading. Our work provides a simple, quantitative, and predictive molecular framework for understanding why TCR triggering is so selective and fast and reveals that, for some receptors, cell topography likely influences signaling outcomes. 

  • 2.
    Sargison, Neil D.
    et al.
    University of Edinburgh, Royal (Dick) School of Veterinary Studies and Roslin Institute, Easter Bush Veterinary Centre, Midlothian, Scotland EH25 9RG, United Kingdom.
    Shahzad, Kashif
    University of Skövde, School of Bioscience.
    Mazeri, Stella
    University of Edinburgh, Royal (Dick) School of Veterinary Studies and Roslin Institute, Easter Bush Veterinary Centre, Midlothian, Scotland EH25 9RG, United Kingdom.
    Chaudhry, Umer
    University of Edinburgh, Royal (Dick) School of Veterinary Studies and Roslin Institute, Easter Bush Veterinary Centre, Midlothian, Scotland EH25 9RG, United Kingdom.
    A high throughput deep amplicon sequencing method to show the emergence and spread of Calicophoron daubneyi rumen fluke infection in United Kingdom cattle herds2019In: Veterinary parasitology, ISSN 0304-4017, E-ISSN 1873-2550, Vol. 268, p. 9-15Article in journal (Refereed)
    Abstract [en]

    The prevalence of C. daubneyi infection in the United Kingdom has increased, but despite the potential for rumen flukes to cause production loss in ruminant livestock, understanding of their emergence and spread is poor. Here we describe the development of a method to explore the multiplicity of C. daubneyi infection and patterns of the parasite's emergence and spread, based on Illumina MiSeq deep sequencing of meta barcoded amplicons of a fragment of the cytochrome c oxidase subunit I (mt-COX-1) locus. Our results show high levels of genetic diversity in 32 C. daubneyi populations derived from finished prime cattle consigned to slaughter from northern United Kingdom. The results are consistent with a single introduction of C. daubneyi infection to some of the farms where the cattle had been grazed during their lifetime and multiple introductions to most. The results illustrate the impact of high levels of animal movements in the United Kingdom, whereby multiple common mt-COX-1 haplotypes were identified in 26 populations in the absence of geographical clustering of clades. This has implications for the adaptability of environmental and intermediate host stages of the parasite to changing climatic and animal management conditions, or of parasitic stages to exposure to anthelmintic drugs; potentially allowing for greater pathogenicity, or the development of anthelmintic resistance, respectively.

  • 3.
    Säterberg, Torbjörn
    et al.
    Linköping University, Department of Physics, Chemistry and Biology, Division of Theoretical Biology, Sweden / Swedish University of Agricultural Sciences, Department of Aquatic Resources, Öregrund, Sweden.
    Jonsson, Tomas
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre. Swedish University of Agricultural Sciences, Department of Ecology, Uppsala, Sweden.
    Yearsley, Jon
    University College Dublin, School of Biology & Environmental Science, Ireland / UCD Earth Institute, Belfield, Dublin 4, Ireland.
    Berg, Sofia
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre.
    Ebenman, Bo
    Linköping University, Department of Physics, Chemistry and Biology, Division of Theoretical Biology, Sweden / Stockholm University, SRC, Sweden.
    A potential role for rare species in ecosystem dynamics2019In: Scientific Reports, ISSN 2045-2322, E-ISSN 2045-2322, Vol. 9, p. 1-12, article id 11107Article in journal (Refereed)
    Abstract [en]

    The ecological importance of common species for many ecosystem processes and functions is unquestionably due to their high a bundance.Yet, the importance of rare species is much less understood. Here we take a theoretical approach, exposing dynamical models of ecological networks to small perturbations, to explore the dynamical importance of rare and common species. We find that both species types contribute to the recovery of communities following generic perturbations (i.e. perturbations affecting all species).Yet, when perturbations are selective (i.e. affects only one species), perturbations to rare species have the most pronounced effect on community stability. We show that this is due to the strong indirect effects induced by perturbations to rare species. Because indirect effects typically set in at longer timescales, our results indicate that the importance of rare species may be easily overlooked and thus underrated. Hence, our study provides a potential ecological motive for the management and protection of rare species.

  • 4.
    Jonsson, Annie
    et al.
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre.
    Wennergren, Uno
    Linköping University, Linköpings Universitet.
    Approximations of population growth in a noisy environment: on the dichotomy of non-age and age structure2019In: Theoretical Ecology, ISSN 1874-1738, E-ISSN 1874-1746, Vol. 12, no 1, p. 99-110Article in journal (Refereed)
  • 5.
    Torra, Vicenç
    et al.
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Karlsson, Alexander
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Steinhauer, H. Joe
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Berglund, Stefan
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre.
    Artificial Intelligence2019In: Data Science in Practice / [ed] Alan Said, Vicenç Torra, Springer, 2019, p. 9-26Chapter in book (Refereed)
    Abstract [en]

    This chapter gives a brief introduction to what artificial intelligence is. We begin discussing some of the alternative definitions for artificial intelligence and introduce the four major areas of the field. Then, in subsequent sections we present these areas. They are problem solving and search, knowledge representation and knowledge-based systems, machine learning, and distributed artificial intelligence. The chapter follows with a discussion on some ethical dilemma we find in relation to artificial intelligence. A summary closes this chapter.

  • 6.
    Kajonius, Petri
    et al.
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre. Department of Psychology, University of Gothenburg, Gothenburg, Sweden / Department of Psychology, University West, Trollhättan, Sweden.
    Johnson, John
    Department of Psychology, Pennsylvania State University, State College, USA.
    Assessing the Structure of the Five Factor Model of Personality (IPIP-NEO-120) in the Public Domain2019In: Europe's Journal of Psychology, ISSN 1841-0413, E-ISSN 1841-0413, Vol. 15, no 2, p. 260-275Article in journal (Refereed)
    Abstract [en]

    Assessment of individual differences in personality traits is arguably one of the hallmarks of psychological research. Testing the structural validity of trait measurements is paramount in this endeavor. In the current study, we investigated 30 facet traits in one of the accessible and comprehensive public-domain Five Factor Model (FFM) personality inventories, IPIP-NEO-120 (Johnson, 2014), using one of the largest US samples to date (N = 320,128). We present structural loadings for all trait facets organized into respective FFM-trait domain (Neuroticism, Extraversion, Openness, Agreeableness, and Conscientiousness). Both hierarchical second-order and bi-factor models showed tolerable model fit indices, using confirmatory factor analysis in a structural equation modeling (SEM) framework. Some facet traits were substantially more representative than others for their respective trait domain, which facilitate further discussions on FFM-construct content. We conclude that IPIP-NEO is sufficiently structurally robust for future use, for the benefit of research and practice in personality assessment.

  • 7.
    Weishaupt, Holger
    et al.
    Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden.
    Johansson, Patrik
    Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden.
    Sundström, Anders
    Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden.
    Lubovac-Pilav, Zelmina
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre.
    Olsson, Björn
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre.
    Nelander, Sven
    Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden.
    Swartling, Fredrik J.
    Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden.
    Batch-normalization of cerebellar and medulloblastoma gene expression datasets utilizing empirically defined negative control genes2019In: Bioinformatics, ISSN 1367-4803, E-ISSN 1367-4811, Vol. 35, no 18, p. 3357-3364Article in journal (Refereed)
    Abstract [en]

    Motivation: Medulloblastoma (MB) is a brain cancer predominantly arising in children. Roughly 70% of patients are cured today, but survivors often suffer from severe sequelae. MB has been extensively studied by molecular profiling, but often in small and scattered cohorts. To improve cure rates and reduce treatment side effects, accurate integration of such data to increase analytical power will be important, if not essential.

    Results: We have integrated 23 transcription datasets, spanning 1350 MB and 291 normal brain samples. To remove batch effects, we combined the Removal of Unwanted Variation (RUV) method with a novel pipeline for determining empirical negative control genes and a panel of metrics to evaluate normalization performance. The documented approach enabled the removal of a majority of batch effects, producing a large-scale, integrative dataset of MB and cerebellar expression data. The proposed strategy will be broadly applicable for accurate integration of data and incorporation of normal reference samples for studies of various diseases. We hope that the integrated dataset will improve current research in the field of MB by allowing more large-scale gene expression analyses.

  • 8.
    Toto, Robert D.
    et al.
    University of Texas Southwestern Medical Center, Dallas, TX, USA.
    Goldenberg, Ronald
    LMC Diabetes & Endocrinology, Thornhill, ON, Canada.
    Chertow, Glenn M.
    Stanford University School of Medicine, CA, USA.
    Cain, Valerie
    Bogier Clinical and IT Solutions, Raleigh, NC, USA.
    Stefánsson, Bergur V.
    Late-stage Development, Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
    Sjöström, Carl David
    Late-stage Development, Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
    Sartipy, Peter
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre. Late-stage Development, Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
    Correction of hypomagnesemia by dapagliflozin in patients with type 2 diabetes: A post hoc analysis of 10 randomized, placebo-controlled trials2019In: Journal of diabetes and its complications, ISSN 1056-8727, E-ISSN 1873-460X, Vol. 33, no 10, article id 107402Article in journal (Refereed)
    Abstract [en]

    Aims: Hypomagnesemia (serum magnesium [Mg] <0.74 mmol/L [<1.8 mg/dL]) is commonly observed in patients with type 2 diabetes (T2D). This study investigated the effect of treatment with dapagliflozin 10 mg on Mg concentrations in patients with T2D. Methods: In this post hoc analysis, we used pooled data from 10 placebo-controlled studies of dapagliflozin over 24 weeks of treatment in patients with T2D. We evaluated the change in Mg in patients receiving dapagliflozin vs. placebo overall, and in subgroups with baseline hypomagnesemia and normal/hypermagnesemia (≥0.74 mmol/L [≥1.8 mg/dL]). We determined the proportion of patients with baseline hypomagnesemia who achieved Mg ≥0.74 mmol/L (≥1.8 mg/dL). Results: A total of 4398 patients with T2D were included. The mean change from baseline to week 24 in Mg was significantly larger with dapagliflozin vs. placebo; difference, 0.06 mmol/L (95% confidence interval [CI]: 0.05, 0.06). The proportion of patients with Mg within the population reference range after 24 weeks of treatment was significantly higher with dapagliflozin vs. placebo; difference, 47.8% (95% CI: 41.4, 53.9). The proportion of patients displaying hypermagnesemia did not increase with dapagliflozin treatment. Conclusions: Treatment with dapagliflozin 10 mg resulted in correction of Mg concentrations in patients with T2D and hypomagnesemia. 

  • 9.
    Persson, Björn N.
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre. Department of Psychology, University of Turku, Finland / Blekinge Center of Competence, Region Blekinge, Karlskrona, Sweden.
    Current Directions in Psychiatric Classification: From the DSM to RDoC2019In: Personality and Brain Disorders: Associations and Interventions / [ed] Danilo Garcia, Trevor Archer, Richard M. Kostrzewa, Cham: Springer, 2019, 1, p. 253-268Chapter in book (Refereed)
  • 10.
    Granéli, Cecilia
    et al.
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre. Discovery Sciences, IMED Biotech Unit, AstraZeneca Gothenburg, Mölndal, Sweden.
    Hicks, Ryan
    Discovery Sciences, IMED Biotech Unit, AstraZeneca Gothenburg, Mölndal, Sweden.
    Brolén, Gabriella
    Discovery Sciences, IMED Biotech Unit, AstraZeneca Gothenburg, Mölndal, Sweden.
    Synnergren, Jane
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre.
    Sartipy, Peter
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre. Global Medicines Development, CVRM, AstraZeneca Gothenburg, Mölndal, Sweden.
    Diabetic Cardiomyopathy Modelling Using Induced Pluripotent Stem Cell Derived Cardiomyocytes: Recent Advances and Emerging Models2019In: Stem Cell Reviews, ISSN 1550-8943, E-ISSN 1558-6804, Vol. 15, no 1, p. 13-22Article in journal (Refereed)
    Abstract [en]

    The global burden of diabetes has drastically increased over the past decades and in 2017 approximately 4 million deaths were caused by diabetes and cardiovascular complications. Diabetic cardiomyopathy is a common complication of diabetes with early manifestations of diastolic dysfunction and left ventricular hypertrophy with subsequent progression to systolic dysfunction and ultimately heart failure. An in vitro model accurately recapitulating key processes of diabetic cardiomyopathy would provide a useful tool for investigations of underlying disease mechanisms to further our understanding of the disease and thereby potentially advance treatment strategies for patients. With their proliferative capacity and differentiation potential, human induced pluripotent stem cells (iPSCs) represent an appealing cell source for such a model system and cardiomyocytes derived from induced pluripotent stem cells have been used to establish other cardiovascular related disease models. Here we review recently made advances and discuss challenges still to be overcome with regard to diabetic cardiomyopathy models, with a special focus on iPSC-based systems. Recent publications as well as preliminary data presented here demonstrate the feasibility of generating cardiomyocytes with a diabetic phenotype, displaying insulin resistance, impaired calcium handling and hypertrophy. However, capturing the full metabolic- and functional phenotype of the diabetic cardiomyocyte remains to be accomplished. 

  • 11.
    Salminen-Vaparanta, Niina
    et al.
    University of Turku, Finland.
    Koivisto, Mika
    University of Turku, Finland.
    Vorobyev, Victor
    University of Turku, Finland.
    Alakurtti, Kati
    University of Turku, Turku, Finland.
    Revonsuo, Antti
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre. University of Turku, Finland.
    Does TMS on V3 block conscious visual perception?2019In: Neuropsychologia, ISSN 0028-3932, E-ISSN 1873-3514, Vol. 128, p. 223-231Article in journal (Refereed)
    Abstract [en]

    Primary visual cortex (V1) and extrastriate V2 are necessary for the emergence of visual consciousness, but the effects of involvement of extrastriate V3 on visual consciousness is unclear. The objective of this study was to examine the causal role of V3 in visual consciousness in humans. We combined neuronavigated transcranial magnetic stimulation (TMS) with a computational model of the TMS-induced electric field to test whether or not the intact processing of visual input in V3, like in V1 and V2, is necessary for conscious visual perception. We targeted the stimulation both to V2 and to V3. If TMS of V3 blocks conscious visual perception of stimuli, then activation in V3 is a causally necessary prerequisite for conscious perception of stimuli. According to the alternative hypothesis, TMS of V3 will not block the conscious visual perception of stimuli, because the pathways from V1 to the higher cortical areas that go around V3 provide sufficient visual input for the emergence of conscious visual perception. The results showed that TMS interfered with conscious perception of features, detection of stimulus presence and the ability to discriminate the letter stimuli both when TMS was targeted either to V3 or to V2. For the conscious detection of stimulus presence, the effect was significantly stronger when V2 was stimulated than when V3 was stimulated. The results of the present study suggest that in addition to the primary visual cortex and V2, also V3 causally contributes to the generation of the most basic form of visual consciousness. Importantly, the results also indicate that V3 is necessary for visual perception in general, not only for visual consciousness.

  • 12.
    Curtsdotter, Alva
    et al.
    University of Skövde, School of Bioscience. Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden / Department of Environmental Sciences, Emory University, Atlanta, GA, Georgia, United States.
    Banks, H. Thomas
    Center for Research in Scientific Computation, North Carolina State University, Raleigh, NC, United States.
    Banks, John E.
    Undergraduate Research Opportunities Center (UROC), California State University, Monterey Bay, Seaside, CA, United States.
    Jonsson, Mattias
    Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden.
    Jonsson, Tomas
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre. Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden .
    Laubmeier, Amanda N.
    Center for Research in Scientific Computation, North Carolina State University, Raleigh, NC, United States.
    Traugott, Michael
    Mountain Agriculture Research Unit, Institute of Ecology, University of Innsbruck, Innsbruck, Austria.
    Bommarco, Riccardo
    Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden.
    Ecosystem function in predator-prey food webs: confronting dynamic models with empirical data2019In: Journal of Animal Ecology, ISSN 0021-8790, E-ISSN 1365-2656, Vol. 88, no 2, p. 196-210Article in journal (Refereed)
    Abstract [en]

    Most ecosystem functions and related services involve species interactions across trophic levels, for example, pollination and biological pest control. Despite this, our understanding of ecosystem function in multitrophic communities is poor, and research has been limited to either manipulation in small communities or statistical descriptions in larger ones. Recent advances in food web ecology may allow us to overcome the trade-off between mechanistic insight and ecological realism. Molecular tools now simplify the detection of feeding interactions, and trait-based approaches allow the application of dynamic food web models to real ecosystems. We performed the first test of an allometric food web model's ability to replicate temporally nonaggregated abundance data from the field and to provide mechanistic insight into the function of predation. We aimed to reproduce and explore the drivers of the population dynamics of the aphid herbivore Rhopalosiphum padi observed in ten Swedish barley fields. We used a dynamic food web model, taking observed interactions and abundances of predators and alternative prey as input data, allowing us to examine the role of predation in aphid population control. The inverse problem methods were used for simultaneous model fit optimization and model parameterization. The model captured >70% of the variation in aphid abundance in five of ten fields, supporting the model-embodied hypothesis that body size can be an important determinant of predation in the arthropod community. We further demonstrate how in-depth model analysis can disentangle the likely drivers of function, such as the community's abundance and trait composition. Analysing the variability in model performance revealed knowledge gaps, such as the source of episodic aphid mortality, and general method development needs that, if addressed, would further increase model success and enable stronger inference about ecosystem function. The results demonstrate that confronting dynamic food web models with abundance data from the field is a viable approach to evaluate ecological theory and to aid our understanding of function in real ecosystems. However, to realize the full potential of food web models, in ecosystem function research and beyond, trait-based parameterization must be refined and extended to include more traits than body size. © 2018 The Authors. Journal of Animal Ecology © 2018 British Ecological Society

  • 13.
    Sikka, Pilleriin
    et al.
    University of Skövde, The Systems Biology Research Centre. University of Skövde, School of Bioscience. Department of Psychology, University of Turku, Finland.
    Revonsuo, Antti
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre. Department of Psychology, University of Turku, Finland.
    Noreika, Valdas
    Department of Psychology, University of Cambridge, UK.
    Valli, Katja
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre. Department of Psychology, University of Turku, Finland.
    EEG Frontal Alpha Asymmetry and Dream Affect: Alpha Oscillations Over the Right Frontal Cortex During REM Sleep and Pre-Sleep Wakefulness Predict Anger in REM Sleep Dreams2019In: Journal of Neuroscience, ISSN 0270-6474, E-ISSN 1529-2401, Vol. 39, no 24, p. 4775-4784, article id 2884-18Article in journal (Refereed)
    Abstract [en]

    Affective experiences are central not only to our waking life but also to rapid eye movement(REM) sleep dreams. Despite our increasing understanding of the neural correlates of dreaming, we know little about the neural correlates of dream affect. Frontal alpha asymmetry (FAA) is considered a marker of affective states and traits as well as affect regulation in the waking state. Here, we explored whether FAA during REM sleep and during evening resting wakefulness is related to affective experiences in REM sleep dreams. EEG recordings were obtained from 17humanparticipants (7men)whospent 2 nights in the sleep laboratory. Participants were awakened 5minafter the onset of everyREMstage after which they provided a dream report and rated their dream affect. Two-minute preawakening EEG segments were analyzed. Additionally, 8 min of evening presleep and morning postsleep EEG were recorded during resting wakefulness. Mean spectral power in the alpha band (8 –13 Hz and correspondingFAAwere calculated over the frontal (F4-F3) sites. Results showed that FAA during REM sleep, and during evening resting wakefulness, predicted ratings of dream anger. This suggests that individuals with greater alpha power in the right frontal hemisphere may be less able to regulate (i.e., inhibit) strong affective states, such as anger, in dreams. Additionally, FAA was positively correlated across wakefulness and REM sleep. Together, these findings imply that FAA may serve as a neural correlate of affect regulation not only in the waking but also in the dreaming state.

    The full text will be freely available from 2019-12-13 00:01
  • 14.
    Walleczek, Jan
    et al.
    Phenoscience Laboratories, Berlin, Germany.
    Grössing, Gerhard
    Austrian Institute for Nonlinear Studies, Akademiehof, Austria.
    Pylkkänen, Paavo
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre. Department of Philosophy, History, and Art Studies, University of Helsinki, Helsinki, Finland.
    Hiley, Basil
    Department of Physics and Astronomy, University College London, London, United Kingdom.
    Emergent quantum mechanics: David Bohm Centennial perspectives2019In: Entropy, ISSN 1099-4300, E-ISSN 1099-4300, Vol. 21, no 2, article id 113Article in journal (Refereed)
    Abstract [en]

    Emergent quantum mechanics (EmQM) explores the possibility of an ontology for quantum mechanics. The resurgence of interest in realist approaches to quantum mechanics challenges the standard textbook view, which represents an operationalist approach. The possibility of an ontological, i.e., realist, quantum mechanics was first introduced with the original de Broglie-Bohm theory, which has also been developed in another context as Bohmian mechanics. This Editorial introduces a Special Issue featuring contributions which were invited as part of the David Bohm Centennial symposium of the EmQM conference series (www.emqm17.org). Questions directing the EmQM research agenda are: Is reality intrinsically random or fundamentally interconnected? Is the universe local or nonlocal? Might a radically new conception of reality include a form of quantum causality or quantum ontology? What is the role of the experimenter agent in ontological quantum mechanics? The Special Issue also includes research examining ontological propositions that are not based on the Bohm-type nonlocality. These include, for example, local, yet time-symmetric, ontologies, such as quantum models based upon retrocausality. This Editorial provides topical overviews of thirty-one contributions which are organized into seven categories to provide orientation. 

  • 15.
    Walleczek, Jan
    et al.
    Phenoscience Laboratories, Berlin, Germany.
    Grössing, GerhardAustrian Institute for Nonlinear Studies, Vienna, Austria.Pylkkänen, PaavoUniversity of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre. Department of Philosophy, History, and Art Studies, University of Helsinki, Helsinki, Finland.Hiley, BasilUniversity College of London, UK.
    Emergent Quantum Mechanics: David Bohm Centennial Perspectives2019Collection (editor) (Refereed)
  • 16.
    Delsing, Louise
    et al.
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre. Department of Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Sweden / Discovery Biology, Discovery Sciences, R&D, AstraZeneca, Mölndal, Sweden.
    Kallur, Therese
    BioLamina, Sundbyberg, Sweden.
    Zetterberg, Henrik
    Department of Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Sweden / Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden / Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK / UK Dementia Research Institute at UCL, London, UK.
    Hicks, Ryan
    Discovery Biology, Discovery Sciences, R&D, AstraZeneca, Mölndal, Sweden.
    Synnergren, Jane
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre.
    Enhanced xeno-free differentiation of hiPSC-derived astroglia applied in a blood-brain barrier model2019In: Fluids and Barriers of the CNS, ISSN 2045-8118, E-ISSN 2045-8118, Vol. 16, no 1, article id 27Article in journal (Refereed)
    Abstract [en]

    Background Human induced pluripotent stem cells (hiPSC) hold great promise for use in cell therapy applications and for improved in vitro models of human disease. So far, most hiPSC differentiation protocols to astroglia use undefined, animal-containing culture matrices. Laminins, which play an essential role in the regulation of cell behavior, offer a source of defined, animal-free culture matrix. Methods In order to understand how laminins affect astroglia differentiation, recombinant human laminin-521 (LN521), was compared to a murine Engelbreth-Holm-Swarm sarcoma derived laminin (L2020). Astroglia expression of protein and mRNA together with glutamate uptake and protein secretion function, were evaluated. Finally, these astroglia were evaluated in a coculture model of the blood-brain barrier (BBB). Results Astroglia of good quality were generated from hiPSC on both LN521 and L2020. However, astroglia differentiated on human LN521 showed higher expression of several astroglia specific mRNAs and proteins such as GFAP, S100B, Angiopoietin-1, and EAAT1, compared to astroglia differentiated on murine L2020. In addition, glutamate uptake and ability to induce expression of junction proteins in endothelial cells were affected by the culture matrix for differentiation. Conclusion Our results suggest that astroglia differentiated on LN521 display an improved phenotype and are suitable for coculture in a hiPSC-derived BBB model. This provides a starting point for a more defined and robust derivation of astroglia for use in BBB coculture models.

  • 17.
    Enroth, Helena
    et al.
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre. Department of Clinical Microbiology, Unilabs AB, Skövde, Sweden.
    Retz, Karolina
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre. Department of Clinical Microbiology, Unilabs AB, Skövde, Sweden.
    Andersson, Sofie
    Department of Clinical Microbiology, Unilabs AB, Skövde, Sweden.
    Andersson, Carl
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre. Department of Clinical Microbiology, Unilabs AB, Skövde, Sweden.
    Svensson, Kristina
    Department of Clinical Microbiology, Unilabs AB, Skövde, Sweden.
    Ljungström, Lars
    Department of Infectious Diseases, Skaraborg Hospital, Skövde, Sweden.
    Tilevik, Diana
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre.
    Pernestig, Anna-Karin
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre.
    Evaluation of QuickFISH and maldi Sepsityper for identification of bacteria in bloodstream infection2019In: Infectious Diseases, ISSN 2374-4235, E-ISSN 2374-4243, Vol. 51, no 4, p. 249-258Article in journal (Refereed)
    Abstract [en]

    Background: Early detection of bacteria and their antibiotic susceptibility patterns are critical to guide therapeutic decision-making for optimal care of septic patients. The current gold standard, blood culturing followed by subculture on agar plates for subsequent identification, is too slow leading to excessive use of broad-spectrum antibiotic with harmful consequences for the patient and, in the long run, the public health. The aim of the present study was to assess the performance of two commercial assays, QuickFISH® (OpGen) and Maldi Sepsityper™ (Bruker Daltonics) for early and accurate identification of microorganisms directly from positive blood cultures.

    Materials and methods: During two substudies of positive blood cultures, the two commercial assays were assessed against the routine method used at the clinical microbiology laboratory, Unilabs AB, at Skaraborg Hospital, Sweden.

    Results: The Maldi Sepsityper™ assay enabled earlier microorganism identification. Using the cut-off for definite species identification according to the reference method (>2.0), sufficiently accurate species identification was achieved, but only among Gram-negative bacteria. The QuickFISH®assay was time-saving and showed high concordance with the reference method, 94.8% (95% CI 88.4–98.3), when the causative agent was covered by the QuickFISH® assay.

    Conclusions: The use of the commercial assays may shorten the time to identification of causative agents in bloodstream infections and can be a good complement to the current clinical routine diagnostics. Nevertheless, the performance of the commercial assays is considerably affected by the characteristics of the causative agents.

  • 18.
    Pylkkänen, Paavo
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre. University of Helsinki, Finland.
    Henry Stapp Vs. David Bohm on Mind, Matter, and Quantum Mechanics2019In: Activitas Nervosa Superior: Journal for Neuroscience and Cognitive Research, ISSN 1802-9698, Vol. 61, no 1-2, p. 48-50Article in journal (Refereed)
    Abstract [en]

    This paper briefly discusses some of David Bohm’s views on mind and matter and suggests that they allow for a stronger possibility for conscious free will to influence quantum dynamics than Henry Stapp’s approach.

  • 19.
    Paul, Sudip Kumar
    et al.
    Department of Biochemistry and Molecular Biology, University of Rajshahi, Bangladesh / Department of Applied Nutrition and Food Technology, Islamic University, Kushtia, Bangladesh.
    Islam, Md Shofikul
    Department of Applied Nutrition and Food Technology, Islamic University, Kushtia, Bangladesh.
    Hasibuzzaman, M. M.
    Department of Biochemistry and Molecular Biology, University of Rajshahi, Bangladesh.
    Hossain, Faruk
    Department of Biochemistry and Molecular Biology, University of Rajshahi, Bangladesh.
    Anjum, Adiba
    Department of Biochemistry and Molecular Biology, University of Rajshahi, Bangladesh.
    Saud, Zahangir Alam
    Department of Biochemistry and Molecular Biology, University of Rajshahi, Bangladesh.
    Haque, Md Mominul
    Department of Biochemistry and Molecular Biology, University of Rajshahi, Bangladesh.
    Sultana, Papia
    Department of Statistics, University of Rajshahi, Bangladesh.
    Haque, Azizul
    Department of Microbiology and Immunology, Medical University of South Carolina, Charleston, United States.
    Andric, Klara Biljana
    University of Skövde, School of Bioscience.
    Rahman, Aminur
    The Life Science Center, School of Science and Technology, Örebro University, Örebro, SE 701 82, Sweden.
    Karim, M. Rezaul
    Department of Applied Nutrition and Food Technology, Islamic University, Bangladesh.
    Siddique, Abu Eabrahim
    Department of Biochemistry and Molecular Biology, University of Rajshahi, Bangladesh.
    Karim, Yeasir
    Department of Biochemistry and Molecular Biology, University of Rajshahi, Bangladesh.
    Rahman, Mizanur
    Department of Biochemistry and Molecular Biology, University of Rajshahi, Bangladesh.
    Miyataka, Hideki
    Laboratory of Molecular Nutrition and Toxicology, Faculty of Pharmaceutical Sciences, Tokushima Bunri University, Tokushima, Japan.
    Xin, Lian
    Laboratory of Molecular Nutrition and Toxicology, Faculty of Pharmaceutical Sciences, Tokushima Bunri University, Japan.
    Himeno, Seiichiro
    Laboratory of Molecular Nutrition and Toxicology, Faculty of Pharmaceutical Sciences, Tokushima Bunri University, Japan.
    Hossain, Khaled
    Department of Biochemistry and Molecular Biology, University of Rajshahi, Bangladesh.
    Higher risk of hyperglycemia with greater susceptibility in females in chronic arsenic-exposed individuals in Bangladesh2019In: Science of the Total Environment, ISSN 0048-9697, E-ISSN 1879-1026, Vol. 668, p. 1004-1012Article in journal (Refereed)
    Abstract [en]

    Arsenic (As) toxicity and diabetes mellitus (DM) are emerging public health concerns worldwide. Although exposure to high levels of As has been associated with DM, whether there is also an association between low and moderate As exposure and DM remains unclear. We explored the dose-dependent association between As exposure levels and hyperglycemia, with special consideration of the impact of demographic variables, in 641 subjects from rural Bangladesh. The total study participants were divided into three groups depending on their levels of exposure to As in drinking water (low, moderate and high exposure groups). Prevalence of hyperglycemia, including impaired glucose tolerance (IGT) and DM was significantly associated with the subjects’ drinking water arsenic levels. Almost all exposure metrics (As levels in the subjects’ drinking water, hair and nails) showed dose-dependent associations with the risk of hyperglycemia, IGT and DM. Among the variables considered, sex, age, and BMI were found to be associated with higher risk of hyperglycemia, IGT and DM. In sex-stratified analyses, As exposure showed a clearer pattern of dose-dependent risk for hyperglycemia in females than males. Finally, drinking water containing low-to-moderate levels of As (50.01–150 μg/L) was found to confer a greater risk of hyperglycemia than safe drinking water (As ≤10 μg/L). Thus the results suggested that As exposure was dose-dependently associated with hyperglycemia, especially in females. © 2019 Elsevier B.V.

  • 20.
    Sikka, Pilleriin
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre. Centre for Cognitive Neuroscience, Department of Psychology, University of Turku, Finland.
    How to Study Dream Experiences2019In: Dreams: Understanding Biology, Psychology, and Culture Volume 1 / [ed] Robert J. Hoss, Katja Valli, Robert P. Gongloff, Santa Barbara, CA: Greenwood, an Imprint of ABC-CLIO, LLC , 2019, 1, p. 153-166Chapter in book (Refereed)
    Abstract [en]

    In the scientific study of dreams, as in the scientific study of any other topic, it is important to first clearly define the phenomenon one is investigating. The definition determines what exactly is being studied. Then, the methods for collecting and analyzing data regarding this phenomenon need to be chosen. These methods determine what kind of results are obtained, to what extent the results reflect the phenomenon of interest, and whether the results can be trusted. This chapter gives an overview of how dream experiences are scientifically studied: how dreams and dreaming are defined, what kinds of methods are used to collect and analyze dream data, and what aspects need to be considered when conducting and reading studies that investigate dream experiences (see also Kahan & Horton, 2012, and Zadra & Domhoff, 2017).

    The full text will be freely available from 2020-02-01 00:01
  • 21.
    Kotta, Jonne
    et al.
    Estonian Marine Institute, University of Tartu, Tallinn, Estonia.
    Vanhatalo, Jarno
    Department of Mathematics and Statistics and Organismal and Evolutionary Biology Research Program, University of Helsinki, Helsinki, Finland.
    Jänes, Holger
    Estonian Marine Institute, University of Tartu, Tallinn, Estonia / Centre for Integrative Ecology, Deakin University, Melbourne, Victoria, Australia.
    Orav-Kotta, Helen
    Estonian Marine Institute, University of Tartu, Tallinn, Estonia.
    Rugiu, Luca
    Department of Biology, University of Turku, Turku, Finland.
    Jormalainen, Veijo
    Department of Biology, University of Turku, Turku, Finland.
    Bobsien, Ivo
    GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany.
    Viitasalo, Markku
    Finnish Environment Institute, Helsinki, Finland.
    Virtanen, Elina
    Finnish Environment Institute, Helsinki, Finland.
    Nyström Sandman, Antonia
    AquaBiota Water Research, Stockholm, Sweden.
    Isaeus, Martin
    AquaBiota Water Research, Stockholm, Sweden.
    Leidenberger, Sonja
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre.
    Jonsson, Per R.
    Department of Marine Sciences – Tjärnö, University of Gothenburg, Tjärnö, Strömstad, Sweden.
    Johannesson, Kerstin
    Department of Marine Sciences – Tjärnö, University of Gothenburg, Tjärnö, Strömstad, Sweden.
    Integrating experimental and distribution data to predict future species patterns2019In: Scientific Reports, ISSN 2045-2322, E-ISSN 2045-2322, Vol. 9, article id 1821Article in journal (Refereed)
    Abstract [en]

    Predictive species distribution models are mostly based on statistical dependence between environmental and distributional data and therefore may fail to account for physiological limits and biological interactions that are fundamental when modelling species distributions under future climate conditions. Here, we developed a state-of-the-art method integrating biological theory with survey and experimental data in a way that allows us to explicitly model both physical tolerance limits of species and inherent natural variability in regional conditions and thereby improve the reliability of species distribution predictions under future climate conditions. By using a macroalga-herbivore association (Fucus vesiculosus - Idotea balthica) as a case study, we illustrated how salinity reduction and temperature increase under future climate conditions may significantly reduce the occurrence and biomass of these important coastal species. Moreover, we showed that the reduction of herbivore occurrence is linked to reduction of their host macroalgae. Spatial predictive modelling and experimental biology have been traditionally seen as separate fields but stronger interlinkages between these disciplines can improve species distribution projections under climate change. Experiments enable qualitative prior knowledge to be defined and identify cause-effect relationships, and thereby better foresee alterations in ecosystem structure and functioning under future climate conditions that are not necessarily seen in projections based on non-causal statistical relationships alone.

  • 22.
    Shamloo-Dashtpagerdia, Roohollah
    et al.
    Department of Agriculture and Natural Resources, Higher Education Center of Eghlid, Iran.
    Lindlöf, Angelica
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre.
    Niazi, Ali
    Institute of Biotechnology, Shiraz University, Iran.
    Pirasteh-Anosheh, Hadi
    National Salinity Research Center, Agricultural Research, Education and Extension Organization, Yazd, Iran.
    LOS2 gene plays a potential role in barley (Hordeum vulgare L.) salinity tolerance as a hub gene2019In: Molecular breeding, ISSN 1380-3743, E-ISSN 1572-9788, Vol. 39, no 8, article id 119Article in journal (Refereed)
    Abstract [en]

    Understanding how plants respond to salinity stress is essential for developing tolerant genotypes, to keep human food secure since it is threaten by climate changes and increasing population worldwide. Barley (Hordeum vulgare) is a crop that possesses various salinity tolerance mechanisms that remain to be explored. In this study, data from an RNA-Seq experiment in barley was analyzed to identify changes in genome activities as well as differentially expressed genes (DEGs) in response to salinity stress. A gene network was predicted among identified DEGs and was subjected to network topology analysis, which resulted in the prediction of a hub gene, namely low expression of osmotically responsive gene 2 (LOS2). LOS2 and its two hierarchical downstream genes, salt-tolerant zinc finger (ZAT10) and ascorbate peroxidase 1 (APX1), were used in a genome-wide association (GWA) survey to confirm their importance. A field experiment was conducted to recognize susceptible and tolerant genotypes among 10 different barley genotypes based on the principle component analysis (PCA) of stress-related indices. In a separate salinity experiment, two of the genotypes were assessed to assign their physiological and biochemical responses as well as to identify expression profiles of LOS2, ZAT10, and APX1. From the results, the activity of the barley genome was significantly altered toward response to stress. In total, 5692 DEGs were identified and the gene network derived from these genes contained 131 nodes and 257 edges. The identified genotypes clearly showed the difference in water status, osmolyte accumulation, cell membrane damages, and ion homeostasis as well as in expression profiles for studied genes during salinity stress. Our results suggest that LOS2 along with the ZAT10 and APX1 genes may serve as an important part of barley salinity stress tolerance pathways. To our knowledge, this is the first report on the role(s) of LOS2 in barley salinity stress tolerance in a gene network system.

  • 23.
    Borgmästars, Emmy
    et al.
    Department of Surgical and Perioperative Sciences, Umeå University, Umeå, Sweden.
    de Weerd, Hendrik Arnold
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre. Department of Physics, Chemistry and Biology, Bioinformatics, Linköping University, Linköping, Sweden.
    Lubovac-Pilav, Zelmina
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre.
    Sund, Malin
    Department of Surgical and Perioperative Sciences, Umeå University, Umeå, Sweden.
    miRFA: an automated pipeline for microRNA functional analysis with correlation support from TCGA and TCPA expression data in pancreatic cancer2019In: BMC Bioinformatics, ISSN 1471-2105, E-ISSN 1471-2105, Vol. 20, no 1, p. 1-17, article id 393Article in journal (Refereed)
    Abstract [en]

    BACKGROUND: MicroRNAs (miRNAs) are small RNAs that regulate gene expression at a post-transcriptional level and are emerging as potentially important biomarkers for various disease states, including pancreatic cancer. In silico-based functional analysis of miRNAs usually consists of miRNA target prediction and functional enrichment analysis of miRNA targets. Since miRNA target prediction methods generate a large number of false positive target genes, further validation to narrow down interesting candidate miRNA targets is needed. One commonly used method correlates miRNA and mRNA expression to assess the regulatory effect of a particular miRNA. The aim of this study was to build a bioinformatics pipeline in R for miRNA functional analysis including correlation analyses between miRNA expression levels and its targets on mRNA and protein expression levels available from the cancer genome atlas (TCGA) and the cancer proteome atlas (TCPA). TCGA-derived expression data of specific mature miRNA isoforms from pancreatic cancer tissue was used.

    RESULTS: Fifteen circulating miRNAs with significantly altered expression levels detected in pancreatic cancer patients were queried separately in the pipeline. The pipeline generated predicted miRNA target genes, enriched gene ontology (GO) terms and Kyoto encyclopedia of genes and genomes (KEGG) pathways. Predicted miRNA targets were evaluated by correlation analyses between each miRNA and its predicted targets. MiRNA functional analysis in combination with Kaplan-Meier survival analysis suggest that hsa-miR-885-5p could act as a tumor suppressor and should be validated as a potential prognostic biomarker in pancreatic cancer.

    CONCLUSIONS: Our miRNA functional analysis (miRFA) pipeline can serve as a valuable tool in biomarker discovery involving mature miRNAs associated with pancreatic cancer and could be developed to cover additional cancer types. Results for all mature miRNAs in TCGA pancreatic adenocarcinoma dataset can be studied and downloaded through a shiny web application at https://emmbor.shinyapps.io/mirfa/ .

  • 24.
    Yewale, Priti Prabhakar
    et al.
    Microbial Diversity Research Centre, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pune, India.
    Lokhande, Kiran Bharat
    Bioinformatics Research Laboratory, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pune, India.
    Sridhar, Aishwarya
    Microbial Diversity Research Centre, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pune, India.
    Vaishnav, Monika
    Microbial Diversity Research Centre, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pune, India.
    Khan, Faisal Ahmad
    The Life Science Centre-Biology, School of Science and Technology, Örebro University, Sweden.
    Mandal, Abul
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre.
    Swamy, Kakumani Venkateswara
    Bioinformatics Research Laboratory, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pune, India.
    Jass, Jana
    The Life Science Centre-Biology, School of Science and Technology, Örebro University, Sweden.
    Nawani, Neelu
    Microbial Diversity Research Centre, Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pune, India.
    Molecular profiling of multidrug-resistant river water isolates: insights into resistance mechanism and potential inhibitors2019In: Environmental science and pollution research international, ISSN 0944-1344, E-ISSN 1614-7499Article in journal (Refereed)
    Abstract [en]

    Polluted waters are an important reservoir for antibiotic resistance genes and multidrug-resistant bacteria. This report describes the microbial community, antibiotic resistance genes, and the genetic profile of extended spectrum β-lactamase strains isolated from rivers at, Pune, India. ESBL-producing bacteria isolated from diverse river water catchments running through Pune City were characterized for their antibiotic resistance. The microbial community and types of genes which confer antibiotic resistance were identified followed by the isolation of antibiotic-resistant bacteria on selective media and their genome analysis. Four representative isolates were sequenced using next generation sequencing for genomic analysis. They were identified as Pseudomonas aeruginosa, Escherichia coli, and two isolates were Enterobacter cloacae. The genes associated with the multidrug efflux pumps, such as tolC, macA, macB, adeL, and rosB, were detected in the isolates. As MacAB-TolC is an ABC type efflux pump responsible for conferring resistance in bacteria to several antibiotics, potential efflux pump inhibitors were identified by molecular docking. The homology model of their MacB protein with that from Escherichia coli K12 demonstrated structural changes in different motifs of MacB. Molecular docking of reported efflux pump inhibitors revealed the highest binding affinity of compound MC207-110 against MacB. It also details the potential efflux pump inhibitors that can serve as possible drug targets in drug development and discovery. 

  • 25.
    Leidenberger, Sonja
    et al.
    University of Skövde, School of Bioscience. University of Skövde, The Systems Biology Research Centre.
    Boström, Sven
    Swedish Museum Nat Hist, Dept Zool, Stockholm, Sweden.
    Wayland, Matthew T.
    Univ Cambridge, Dept Zool, England.
    Morphological observations on three Baltic species of Corynosoma Lühe, 1905 (Acanthocephala, Polymorphidae)2019In: European Journal of Taxonomy, ISSN 2118-9773, Vol. 514, p. 1-19Article in journal (Refereed)
    Abstract [en]

    Necropsies of Baltic grey (Halichoerus grypus) and ringed seals (Pusa hispida) presented a rare opportunity to study their acanthocephalan fauna. Both species hosted adults of three species of the genus Corynosoma Lithe, 1904, namely C. magdaleni Montreuil, 1958, C. semerme (Forsell, 1904) Lithe 1911 and C. strumosum (Rudolphi, 1802) Lithe 1904. A comparative morphological analysis of these three species of Corynosoma, combining both light and scanning electron microscopy, was performed for the first time. Sexual dimorphism in the size and shape of the trunk was observed in both C. magdaleni and C. semerme, but there was insufficient material to investigate this phenomenon in C. strumosum. Genital spines were not observed in any of the female acanthocephalans. Three possible explanations for the presence of genital spines in some females, but not others are (i) cryptic speciation, (ii) phenotypic variation and (iii) loss by extraction or shearing when the copulatory cap is released. Copulatory caps were observed on female C. semerme. The size and morphology showed considerable variability and all caps were strongly autofluoresecent.

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