TY - JOUR A1 - Garbulowski, Mateusz A1 - Smolinska, Karolina A1 - Çabuk, Uğur A1 - Yones, Sara A. A1 - Celli, Ludovica A1 - Yaz, Esma Nur A1 - Barrenas, Fredrik A1 - Diamanti, Klev A1 - Wadelius, Claes A1 - Komorowski, Jan T1 - Machine learning-based analysis of glioma grades reveals co-enrichment JF - Cancers N2 - Simple Summary Gliomas are heterogenous types of cancer, therefore the therapy should be personalized and targeted toward specific pathways. We developed a methodology that corrected strong batch effects from The Cancer Genome Atlas datasets and estimated glioma grade-specific co-enrichment mechanisms using machine learning. Our findings created hypotheses for annotations, e.g., pathways, that should be considered as therapeutic targets. Gliomas develop and grow in the brain and central nervous system. Examining glioma grading processes is valuable for improving therapeutic challenges. One of the most extensive repositories storing transcriptomics data for gliomas is The Cancer Genome Atlas (TCGA). However, such big cohorts should be processed with caution and evaluated thoroughly as they can contain batch and other effects. Furthermore, biological mechanisms of cancer contain interactions among biomarkers. Thus, we applied an interpretable machine learning approach to discover such relationships. This type of transparent learning provides not only good predictability, but also reveals co-predictive mechanisms among features. In this study, we corrected the strong and confounded batch effect in the TCGA glioma data. We further used the corrected datasets to perform comprehensive machine learning analysis applied on single-sample gene set enrichment scores using collections from the Molecular Signature Database. Furthermore, using rule-based classifiers, we displayed networks of co-enrichment related to glioma grades. Moreover, we validated our results using the external glioma cohorts. We believe that utilizing corrected glioma cohorts from TCGA may improve the application and validation of any future studies. Finally, the co-enrichment and survival analysis provided detailed explanations for glioma progression and consequently, it should support the targeted treatment. KW - glioma KW - machine learning KW - batch effect KW - TCGA KW - co-enrichment KW - rough sets Y1 - 2022 U6 - https://doi.org/10.3390/cancers14041014 SN - 2072-6694 VL - 14 IS - 4 PB - MDPI CY - Basel ER - TY - JOUR A1 - Ilicic, Doris A1 - Woodhouse, Jason Nicholas A1 - Karsten, Ulf A1 - Zimmermann, Jonas A1 - Wichard, Thomas A1 - Quartino, Maria Liliana A1 - Campana, Gabriela Laura A1 - Livenets, Alexandra A1 - Van den Wyngaert, Silke A1 - Grossart, Hans-Peter T1 - Antarctic Glacial Meltwater Impacts the Diversity of Fungal Parasites Associated With Benthic Diatoms in Shallow Coastal Zones JF - Frontiers in microbiology N2 - Aquatic ecosystems are frequently overlooked as fungal habitats, although there is increasing evidence that their diversity and ecological importance are greater than previously considered. Aquatic fungi are critical and abundant components of nutrient cycling and food web dynamics, e.g., exerting top-down control on phytoplankton communities and forming symbioses with many marine microorganisms. However, their relevance for microphytobenthic communities is almost unexplored. In the light of global warming, polar regions face extreme changes in abiotic factors with a severe impact on biodiversity and ecosystem functioning. Therefore, this study aimed to describe, for the first time, fungal diversity in Antarctic benthic habitats along the salinity gradient and to determine the co-occurrence of fungal parasites with their algal hosts, which were dominated by benthic diatoms. Our results reveal that Ascomycota and Chytridiomycota are the most abundant fungal taxa in these habitats. We show that also in Antarctic waters, salinity has a major impact on shaping not just fungal but rather the whole eukaryotic community composition, with a diversity of aquatic fungi increasing as salinity decreases. Moreover, we determined correlations between putative fungal parasites and potential benthic diatom hosts, highlighting the need for further systematic analysis of fungal diversity along with studies on taxonomy and ecological roles of Chytridiomycota. KW - Antarctica KW - aquatic fungi KW - Chytridiomycota KW - phytoplankton host KW - salinity gradient KW - Illumina amplicon sequencing KW - Carlini Station Y1 - 2022 U6 - https://doi.org/10.3389/fmicb.2022.805694 SN - 1664-302X IS - 13 PB - Frontiers Media CY - Lausanne ER - TY - GEN A1 - Numberger, Daniela A1 - Dreier, Carola A1 - Vullioud, Colin A1 - Gabriel, Guelsah A1 - Greenwood, Alex D. A1 - Grossart, Hans-Peter T1 - Correction: Recovery of influenza A viruses from lake water and sediments by experimental inoculation (vol 14, e0216880, 2019) T2 - PLoS one Y1 - 2019 U6 - https://doi.org/10.1371/journal.pone.0218882 SN - 1932-6203 VL - 14 IS - 6 PB - PLoS CY - San Fransisco ER - TY - JOUR A1 - Nwosu, Ebuka Canisius A1 - Roeser, Patricia Angelika A1 - Yang, Sizhong A1 - Ganzert, Lars A1 - Dellwig, Olaf A1 - Pinkerneil, Sylvia A1 - Brauer, Achim A1 - Dittmann, Elke A1 - Wagner, Dirk A1 - Liebner, Susanne T1 - From water into sediment-tracing freshwater cyanobacteria via DNA analyses JF - Microorganisms : open access journal N2 - Sedimentary ancient DNA-based studies have been used to probe centuries of climate and environmental changes and how they affected cyanobacterial assemblages in temperate lakes. Due to cyanobacteria containing potential bloom-forming and toxin-producing taxa, their approximate reconstruction from sediments is crucial, especially in lakes lacking long-term monitoring data. To extend the resolution of sediment record interpretation, we used high-throughput sequencing, amplicon sequence variant (ASV) analysis, and quantitative PCR to compare pelagic cyanobacterial composition to that in sediment traps (collected monthly) and surface sediments in Lake Tiefer See. Cyanobacterial composition, species richness, and evenness was not significantly different among the pelagic depths, sediment traps and surface sediments (p > 0.05), indicating that the cyanobacteria in the sediments reflected the cyanobacterial assemblage in the water column. However, total cyanobacterial abundances (qPCR) decreased from the metalimnion down the water column. The aggregate-forming (Aphanizomenon) and colony-forming taxa (Snowella) showed pronounced sedimentation. In contrast, Planktothrix was only very poorly represented in sediment traps (meta- and hypolimnion) and surface sediments, despite its highest relative abundance at the thermocline (10 m water depth) during periods of lake stratification (May-October). We conclude that this skewed representation in taxonomic abundances reflects taphonomic processes, which should be considered in future DNA-based paleolimnological investigations. KW - Aphanizomenon KW - Planktothrix KW - Snowella KW - cyanobacteria sedimentation KW - lake monitoring KW - sedimentary ancient DNA KW - sediment traps KW - environmental reconstruction Y1 - 2021 U6 - https://doi.org/10.3390/microorganisms9081778 SN - 2076-2607 VL - 9 IS - 8 PB - MDPI CY - Basel ER - TY - JOUR A1 - Nwosu, Ebuka Canisius A1 - Roeser, Patricia Angelika A1 - Yang, Sizhong A1 - Pinkerneil, Sylvia A1 - Ganzert, Lars A1 - Dittmann, Elke A1 - Brauer, Achim A1 - Wagner, Dirk A1 - Liebner, Susanne T1 - Species-level spatio-temporal dynamics of cyanobacteria in a hard-water temperate lake in the Southern Baltics JF - Frontiers in microbiology N2 - Cyanobacteria are important primary producers in temperate freshwater ecosystems. However, studies on the seasonal and spatial distribution of cyanobacteria in deep lakes based on high-throughput DNA sequencing are still rare. In this study, we combined monthly water sampling and monitoring in 2019, amplicon sequence variants analysis (ASVs; a proxy for different species) and quantitative PCR targeting overall cyanobacteria abundance to describe the seasonal and spatial dynamics of cyanobacteria in the deep hard-water oligo-mesotrophic Lake Tiefer See, NE Germany. We observed significant seasonal variation in the cyanobacterial community composition (p < 0.05) in the epi- and metalimnion layers, but not in the hypolimnion. In winter-when the water column is mixed-picocyanobacteria (Synechococcus and Cyanobium) were dominant. With the onset of stratification in late spring, we observed potential niche specialization and coexistence among the cyanobacteria taxa driven mainly by light and nutrient dynamics. Specifically, ASVs assigned to picocyanobacteria and the genus Planktothrix were the main contributors to the formation of deep chlorophyll maxima along a light gradient. While Synechococcus and different Cyanobium ASVs were abundant in the epilimnion up to the base of the euphotic zone from spring to fall, Planktothrix mainly occurred in the metalimnetic layer below the euphotic zone where also overall cyanobacteria abundance was highest in summer. Our data revealed two potentially psychrotolerant (cold-adapted) Cyanobium species that appear to cope well under conditions of lower hypolimnetic water temperature and light as well as increasing sediment-released phosphate in the deeper waters in summer. The potential cold-adapted Cyanobium species were also dominant throughout the water column in fall and winter. Furthermore, Snowella and Microcystis-related ASVs were abundant in the water column during the onset of fall turnover. Altogether, these findings suggest previously unascertained and considerable spatiotemporal changes in the community of cyanobacteria on the species level especially within the genus Cyanobium in deep hard-water temperate lakes. KW - Cyanobium KW - picocyanobacteria diversity KW - amplicon sequencing KW - lake monitoring KW - ecological succession KW - lake stratification KW - psychrotolerant Y1 - 2021 U6 - https://doi.org/10.3389/fmicb.2021.761259 SN - 1664-302X VL - 12 PB - Frontiers Media CY - Lausanne ER - TY - JOUR A1 - Zoccarato, Luca A1 - Sher, Daniel A1 - Miki, Takeshi A1 - Segre, Daniel A1 - Grossart, Hans-Peter T1 - A comparative whole-genome approach identifies bacterial traits for marine microbial interactions JF - Communications biology N2 - Luca Zoccarato, Daniel Sher et al. leverage publicly available bacterial genomes from marine and other environments to examine traits underlying microbial interactions. Their results provide a valuable resource to investigate clusters of functional and linked traits to better understand marine bacteria community assembly and dynamics. Microbial interactions shape the structure and function of microbial communities with profound consequences for biogeochemical cycles and ecosystem health. Yet, most interaction mechanisms are studied only in model systems and their prevalence is unknown. To systematically explore the functional and interaction potential of sequenced marine bacteria, we developed a trait-based approach, and applied it to 473 complete genomes (248 genera), representing a substantial fraction of marine microbial communities. We identified genome functional clusters (GFCs) which group bacterial taxa with common ecology and life history. Most GFCs revealed unique combinations of interaction traits, including the production of siderophores (10% of genomes), phytohormones (3-8%) and different B vitamins (57-70%). Specific GFCs, comprising Alpha- and Gammaproteobacteria, displayed more interaction traits than expected by chance, and are thus predicted to preferentially interact synergistically and/or antagonistically with bacteria and phytoplankton. Linked trait clusters (LTCs) identify traits that may have evolved to act together (e.g., secretion systems, nitrogen metabolism regulation and B vitamin transporters), providing testable hypotheses for complex mechanisms of microbial interactions. Our approach translates multidimensional genomic information into an atlas of marine bacteria and their putative functions, relevant for understanding the fundamental rules that govern community assembly and dynamics. Y1 - 2022 U6 - https://doi.org/10.1038/s42003-022-03184-4 SN - 2399-3642 VL - 5 IS - 1 PB - Springer Nature CY - Berlin ER - TY - JOUR A1 - Köhler, Raphael H. A1 - Handorf, Dörthe A1 - Jaiser, Ralf A1 - Dethloff, Klaus A1 - Zängl, Günther A1 - Majewski, Detlev A1 - Rex, Markus T1 - Improved circulation in the Northern hemisphere by adjusting gravity wave drag parameterizations in seasonal experiments with ICON-NWP JF - Earth and Space Science : ESS N2 - The stratosphere is one of the main potential sources for subseasonal to seasonal predictability in midlatitudes in winter. The ability of an atmospheric model to realistically simulate the stratospheric dynamics is essential in order to move forward in the field of seasonal predictions in midlatitudes. Earlier studies with the ICOsahedral Nonhydrostatic atmospheric model (ICON) point out that stratospheric westerlies in ICON are underestimated. This is the first extensive study on the evaluation of Northern Hemisphere stratospheric winter circulation with ICON in numerical weather prediction (NWP) mode. Seasonal experiments with the default setup are able to reproduce the basic climatology of the stratospheric polar vortex. However, westerlies are too weak and major stratospheric warmings too frequent in ICON. Both a reduction of the nonorographic, and a reduction of the orographic gravity wave and wake drag lead to a strengthening of the stratospheric vortex and a bias reduction, in particular in January. However, the effect of the nonorographic gravity wave drag scheme on the stratosphere is stronger. Stratosphere-troposphere coupling is intensified and more realistic due to a reduced gravity wave drag. Furthermore, an adjustment of the subgrid-scale orographic drag parameterization leads to a significant error reduction in the mean sea level pressure. As a result of these findings, we present our current suggested improved setup for seasonal experiments with ICON-NWP.
Plain Language Summary Although seasonal forecasts for midlatitudes have the potential to be highly beneficial to the public sector, they are still characterized by a large amount of uncertainty. Exact simulations of the circulation in the stratosphere can help to improve tropospheric predictability on seasonal time scales. For this reason, we investigate how well the new German atmospheric model is able to simulate the stratospheric circulation. The model reproduces the basic behavior of the Northern Hemisphere stratospheric polar vortex, but the westerly circulation in winter is underestimated. The stratospheric circulation is influenced by gravity waves that exert drag on the flow. These processes are only partly physically represented in the model, but are very important and are hence parameterized. By adjusting the parameterizations for the gravity wave drag, the stratospheric polar vortex is strengthened, thereby yielding a more realistic stratospheric circulation. In addition, the altered parameterizations improve the simulated surface pressure pattern. Based upon this, we present our current suggested improved model setup for seasonal experiments. Y1 - 2021 U6 - https://doi.org/10.1029/2021EA001676 SN - 2333-5084 VL - 8 IS - 3 PB - American Geophysical Union CY - Malden, Mass. ER - TY - JOUR A1 - Hartmann, Stefanie A1 - Hasenkamp, Natascha A1 - Mayer, Jens A1 - Michaux, Johan A1 - Morand, Serge A1 - Mazzoni, Camila J. A1 - Roca, Alfred L. A1 - Greenwood, Alex D. T1 - Endogenous murine leukemia retroviral variation across wild European and inbred strains of house mouse JF - BMC genomics N2 - Background: Endogenous murine leukemia retroviruses (MLVs) are high copy number proviral elements difficult to comprehensively characterize using standard low throughput sequencing approaches. However, high throughput approaches generate data that is challenging to process, interpret and present. Results: Next generation sequencing (NGS) data was generated for MLVs from two wild caught Mus musculus domesticus (from mainland France and Corsica) and for inbred laboratory mouse strains C3H, LP/J and SJL. Sequence reads were grouped using a novel sequence clustering approach as applied to retroviral sequences. A Markov cluster algorithm was employed, and the sequence reads were queried for matches to specific xenotropic (Xmv), polytropic (Pmv) and modified polytropic (Mpmv) viral reference sequences. Conclusions: Various MLV subtypes were more widespread than expected among the mice, which may be due to the higher coverage of NGS, or to the presence of similar sequence across many different proviral loci. The results did not correlate with variation in the major MLV receptor Xpr1, which can restrict exogenous MLVs, suggesting that endogenous MLV distribution may reflect gene flow more than past resistance to infection. KW - Murine leukemia virus KW - Endogenous retrovirus KW - Xpr1 KW - XMRV KW - Genomic evolution KW - Markov cluster algorithm Y1 - 2015 U6 - https://doi.org/10.1186/s12864-015-1766-z SN - 1471-2164 VL - 16 PB - BioMed Central CY - London ER - TY - JOUR A1 - Romanowsky, Erik A1 - Handorf, Dörthe A1 - Jaiser, Ralf A1 - Wohltmann, Ingo A1 - Dorn, Wolfgang A1 - Ukita, Jinro A1 - Cohen, Judah A1 - Dethloff, Klaus A1 - Rex, Markus T1 - The role of stratospheric ozone for Arctic-midlatitude linkages JF - Scientific reports N2 - Arctic warming was more pronounced than warming in midlatitudes in the last decades making this region a hotspot of climate change. Associated with this, a rapid decline of sea-ice extent and a decrease of its thickness has been observed. Sea-ice retreat allows for an increased transport of heat and momentum from the ocean up to the tropo- and stratosphere by enhanced upward propagation of planetary-scale atmospheric waves. In the upper atmosphere, these waves deposit the momentum transported, disturbing the stratospheric polar vortex, which can lead to a breakdown of this circulation with the potential to also significantly impact the troposphere in mid- to late-winter and early spring. Therefore, an accurate representation of stratospheric processes in climate models is necessary to improve the understanding of the impact of retreating sea ice on the atmospheric circulation. By modeling the atmospheric response to a prescribed decline in Arctic sea ice, we show that including interactive stratospheric ozone chemistry in atmospheric model calculations leads to an improvement in tropo-stratospheric interactions compared to simulations without interactive chemistry. This suggests that stratospheric ozone chemistry is important for the understanding of sea ice related impacts on atmospheric dynamics. Y1 - 2019 U6 - https://doi.org/10.1038/s41598-019-43823-1 SN - 2045-2322 VL - 9 PB - Nature Publ. Group CY - London ER - TY - JOUR A1 - Numberger, Daniela A1 - Dreier, Carole A1 - Vullioud, Colin A1 - Gabriel, Gülsah A1 - Greenwood, Alex D. A1 - Grossart, Hans-Peter T1 - Recovery of influenza a viruses from lake water and sediments by experimental inoculation JF - PLoS one N2 - Influenza A viruses (IAV) are zoonotic pathogens relevant to human, domestic animal and wildlife health. Many avian IAVs are transmitted among waterfowl via a faecal-oral-route. Therefore, environmental water where waterfowl congregate may play an important role in the ecology and epidemiology of avian IAV. Water and sediment may sustain and transmit virus among individuals or species. It is unclear at what concentrations waterborne viruses are infectious or remain detectable. To address this, we performed lake water and sediment dilution experiments with varying concentrations or infectious doses of four IAV strains from seal, turkey, duck and gull. To test for infectivity of the IAV strains in a concentration dependent manner, we applied cultivation to specific pathogen free (SPF) embryonated chicken eggs and Madin-Darby Canine Kidney (MDCK) cells. IAV recovery was more effective from embryonated chicken eggs than MDCK cells for freshwater lake dilutions, whereas, MDCK cells were more effective for viral recovery from sediment samples. Low infectious dose (1 PFU/200 mu L) was sufficient in most cases to detect and recover IAV from lake water dilutions. Sediment required higher initial infectious doses (>= 100 PFU/200 mu L). Y1 - 2019 U6 - https://doi.org/10.1371/journal.pone.0216880 SN - 1932-6203 VL - 14 IS - 5 PB - PLoS CY - San Fransisco ER -