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For specific primary modes of action (MoA) in environmental non-target organisms, EU legislation restricts the usage of active substances of pesticides or biocides. Corresponding regulatory hazard assessments are costly, time consuming and require large numbers of non-human animal studies. Currently, predictive toxicology of development compounds relies on their chemical structure and provides little insights into toxicity mechanisms that precede adverse effects. Using the zebrafish embryo model, we characterized transcriptomic responses to a range of sublethal concentrations of six nerve- and muscle-targeting insecticides with different MoA (abamectin, carbaryl, chlorpyrifos, fipronil, imidacloprid & methoxychlor). Our aim was to identify affected biological processes and suitable biomarker candidates for MoA-specific signatures. Abamectin showed the most divergent signature among the tested insecticides, linked to lipid metabolic processes. Differentially expressed genes (DEGs) after imidacloprid exposure were primarily associated with immune system and inflammation. In total, 222 early responsive genes to either MoA were identified, many related to three major processes: (1) cardiac muscle cell development and functioning (tcap, desma, bag3, hspb1, hspb8, flnca, myoz3a, mybpc2b, actc2, tnnt2c), (2) oxygen transport and hypoxic stress (alas2, hbbe1.1, hbbe1.3, hbbe2, hbae3, igfbp1a, hif1al) and (3) neuronal development and plasticity (npas4a, egr1, btg2, ier2a, vgf). The thyroidal function related gene dio3b was upregulated by chlorpyrifos and downregulated by higher abamectin concentrations. Important regulatory genes for cardiac muscle (tcap) and forebrain development (npas4a) were the most frequently ifferentially expressed across all insecticide treatments. We consider the identified gene sets as useful early warning biomarker candidates, i.e. for developmental toxicity targeting heart and brain in aquatic vertebrates. Our findings provide a better understanding about early molecular events in response to the analyzed MoA. Perceptively, this promotes the development for sensitive and informative biomarker-based in vitro assays for toxicological MoA prediction and AOP refinement, without the suffering of adult fish.
Biotic homogenization is one of the key aspects of the current biodiversity crisis. Here we analyzed the trends of three facets of niche homogenization, i.e. niche specialization, trait α-diversity and spatial β-diversity, over a period of 25 years (1990–2014) using a large dataset of 3782 stream benthic invertebrate samples collected from central European low-mountain streams. We studied a set of traits describing the ecological niche of species and their functions: body size, feeding groups, substrate preferences, flow preferences, stream zonation preferences and saprobity. Trait composition changed significantly during the study period, and we identified an overall increase in niche homogenization. Specifically, community niche specialization significantly decreased by 20.3% over the 25-year period, with declines ranging from −16.0 to −40.9% for zonation-, flow-, substrate-preferences, body size and feeding traits. Trait diversity did not change significantly, although we recorded significant decreases by −14.2% and −10.2% for flow- and substrate-preference and increases by 5.8% and 22.6% for feeding traits and zonation preference over the study period. Trait spatial β-diversity significantly decreased by −53.0%, with substrate-preference, feeding groups and flow-preference traits declining from −61.9% to −75.3% over the study period. This increased niche homogenization is likely driven by the increase of down-stream typical taxa, which are favored by warming temperatures. Further, it is in apparent contradiction with the recorded increase in abundance (+35.9%) and taxonomic richness (+39.2%) over the same period. Even such increases do not safeguard communities from undergoing niche homogenization, indicating that recovery processes may differ with regard to community taxonomic composition and traits. Our results emphasize the complexity of community responses to global change and warrant caution when founding conclusions based solely on single community metrics.
Wood-inhabiting fungi play an integral role in wood degradation and the cycle of matter in the ecological system. They are considered a ʻkey playerʼ in wood decomposition because of their ability to produce all kinds of enzymes that break down lignin, cellulose and hemicellulose. In this study, some wood-inhabiting mushrooms were collected from the Yunnan-Guizhou Plateau, Asia, and based on the morphological and molecular evidence, they are introduced as Punctochaete murina J.H.Dong & C.L.Zhao gen. et sp. nov. Punctochaete J.H.Dong & C.L.Zhao gen. nov. is characterized by resupinate basidiomata with a punctate hymenial surface, a monomitic hyphal system and generative hyphae bearing clamp connections, and cylindrical to allantoid, thin-walled, smooth, slightly curved basidiospores. Sequences of the internal transcribed spacer (ITS) and large subunit (nLSU) markers of the studied samples were generated, and phylogenetic analyses were performed with maximum likelihood, maximum parsimony and Bayesian inference methods. Phylogenetic analyses of ITS+nLSU nuclear RNA gene regions showed that Punctochaete forms a monophyletic lineage within the order Auriculariales in which it is sister to a clade comprising two closely related genera: Exidiopsis and Tremellochaete.
Freshwater megafauna, such as sturgeons, giant catfishes, river dolphins, hippopotami, crocodylians, large turtles, and giant salamanders, have experienced severe population declines and range contractions worldwide. Although there is an increasing number of studies investigating the causes of megafauna losses in fresh waters, little attention has been paid to synthesising the impacts of megafauna on the abiotic environment and other organisms in freshwater ecosystems, and hence the consequences of losing these species. This limited understanding may impede the development of policies and actions for their conservation and restoration. In this review, we synthesise how megafauna shape ecological processes in freshwater ecosystems and discuss their potential for enhancing ecosystem restoration. Through activities such as movement, burrowing, and dam and nest building, megafauna have a profound influence on the extent of water bodies, flow dynamics, and the physical structure of shorelines and substrata, increasing habitat heterogeneity. They enhance nutrient cycling within fresh waters, and cross-ecosystem flows of material, through foraging and reproduction activities. Freshwater megafauna are highly connected to other freshwater organisms via direct consumption of species at different trophic levels, indirect trophic cascades, and through their influence on habitat structure. The literature documenting the ecological impacts of freshwater megafauna is not evenly distributed among species, regions, and types of ecological impacts, with a lack of quantitative evidence for large fish, crocodylians, and turtles in the Global South and their impacts on nutrient flows and food-web structure. In addition, population decline, range contraction, and the loss of large individuals have reduced the extent and magnitude of megafaunal impacts in freshwater ecosystems, rendering a posteriori evaluation more difficult. We propose that reinstating freshwater megafauna populations holds the potential for restoring key ecological processes such as disturbances, trophic cascades, and species dispersal, which will, in turn, promote overall biodiversity and enhance nature's contributions to people. Challenges for restoration actions include the shifting baseline syndrome, potential human–megafauna competition for habitats and resources, damage to property, and risk to human life. The current lack of historical baselines for natural distributions and population sizes of freshwater megafauna, their life history, trophic interactions with other freshwater species, and interactions with humans necessitates further investigation. Addressing these knowledge gaps will improve our understanding of the ecological roles of freshwater megafauna and support their full potential for facilitating the development of effective conservation and restoration strategies to achieve the coexistence of humans and megafauna.
The broad global distribution of freshwater clams belonging to the genus Corbicula is driven by multiple hermaphroditic lineages. These lineages, characterized by shared morphological traits and phenotypic plasticity, pose challenges to morphological identification. Genetic markers, such as the mitochondrial COI gene, play a crucial role in delineating these lineages and their ranges. Morphotypes represent observed phenotypic variations, while lineages are defined based on genetic markers. Here, we comprehensively review Corbicula’s distribution in Argentina, discriminate extant lineages based on both morphological and genetic (COI) data, and describe variations in internal and external morphologies using 15 Argentine populations. Genetic analyses identified two mitochondrial lineages: the AR morphotype (FW5 haplotype) and CS morphotype (FW17 haplotype). Strikingly, despite having similar vectors, origins, and invasive stages, Corbicula lineages exhibit virtually segregated distributions. However, mitochondrial haplotypes are found in sympatry mainly in northeastern Argentina where individuals with intermediate morphotypes exist, suggesting the presence of hybrids due to maternal genome retention. These findings contribute to the clarification of the identity and distribution of Corbicula lineages in Argentina, where the genus has been found for over half a century. Similar studies are needed in other areas to better understand the invasion patterns of this successful and adaptable group.
Highlights
• Methyl labeling enables NMR to study large proteins and molecular assemblies.
• Assignment of methyl groups is a bottleneck for methyl NMR.
• We survey automated methods for methyl assignment.
• We discuss their input requirements, algorithms, and performance on benchmarks.
Abstract
As structural biology trends towards larger and more complex biomolecular targets, a detailed understanding of their interactions and underlying structures and dynamics is required. The development of methyl-TROSY has enabled NMR spectroscopy to provide atomic-resolution insight into the mechanisms of large molecular assemblies in solution. However, the applicability of methyl-TROSY has been hindered by the laborious and time-consuming resonance assignment process, typically performed with domain fragmentation, site-directed mutagenesis, and analysis of NOE data in the context of a crystal structure. In response, several structure-based automatic methyl assignment strategies have been developed over the past decade. Here, we present a comprehensive analysis of all available methods and compare their input data requirements, algorithmic strategies, and reported performance. In general, the methods fall into two categories: those that primarily rely on inter-methyl NOEs, and those that utilize methyl PRE- and PCS-based restraints. We discuss their advantages and limitations, and highlight the potential benefits from standardizing and combining different methods.
Micro RNAs (miRNAs) are important post-translational regulators of gene expression that occur in both plants and animals. They inhibit gene expression by promoting translational inhibition and decay of messenger RNAs (mRNAs). One miRNA can have thousands of different target mRNAs in any given cell and usually slightly decreases translation of a plethora of genes. An important example of this is the miRNA family miR-181 during T-cell development. Thymic progenitor cells travel to the thymus, where they develop through several distinct stages into mature T cells of every type. One of these stages is the CD4/CD8 double positive (DP) stage, where miR-181 is particularly highly expressed and important for the cells to proceed through TCR repertoire selection. While miRNAs have been extensively studied in vitro, their effects within whole organisms are not completely understood. Even extremely abundant miRNAs are vastly outnumbered by their potential target sites, which begs the question of a targeting hierarchy. Therefore, in this study, we set out to analyse miR-181 in thymocytes as a representative model for overall miRNA function in vivo. To assess the role of miR-181 on a global level, we chose a multi-omics approach on DP thymocytes from wild type (WT) and miR-181 knock-out (KO) mice, including a ribosome profiling experiment and quantitative mass spectrometry (MS) to visualize the effects of miR-181 on translation, and enhanced crosslinking immunoprecipitation (miR-eCLIP) to find true miR-181 binding sites. The combination of these experiments enables us to stratify effects on expression by the binding site information. Secondly, we investigate the maturation of miR-181 and its regulation to understand the life cycle of miR-181, particularly because of the extensive length of the miR-181 progenitor, pri-miR-181, as its only known function is the production of two miRNAs.
Our analysis of the targetome first confirmed known and predicted targets and secondly found additional targets that were previously not described. We analysed target mRNAs depending on their miRNA response elements (MREs). When assigning the target mRNAs to categories based on the target information obtained in the miR-eCLIP, we could stratify the functional effects by the mRNA’s attributes. Most effects could be observed in both RNAseq and ribosome footprint (RF). However, the quantitative MS was not able to visualize the often small effects of miRNA repression. The largest effects could be attributed to the number of MREs in any given mRNA, the position and the type of an MRE. We were able to show a hierarchy in the strength of repression between different types of MREs. Effect strength correlates with the length of the miRNA-mRNA pairing sequence. Furthermore, we showed that more miRNA binding sites in a single mRNA provided stronger effects than fewer binding sites. We found that binding sites in the 3’ untranslated region (3’UTR) mediate the strongest effect, but binding sites located in the coding sequence (CDS) also have repressive functions. Interestingly, most of these effects were achieved by mRNA decay and not through translational repression, except for a group of MREs located in satellite repeat elements in CDS, leading to significant changes in translational efficiency (TE). Additionally, we showed that an alternative seed match exists in some miR-181 MREs which contains an A-U switch but still shows repressive capacity.
To further investigate miR-181 function in thymocytes, we created a mouse with a pri-miR-181 ablation caused by a premature poly-A signal. The preliminary investigation of miRNA expression and cell types could mostly reproduce the results to the mature miR-181 KO mouse, but further analysis is required.
With this study, we deepened the knowledge of how miRNAs act in complex in vivo systems. We were able to confirm many predicted targets but furthermore, found large amounts of non-canonical target sites not yet described. We detected a new mechanism of regulation for a group of zinc finger proteins, which are in turn described to have role in T-cell function. We shed light on the way miR-181 regulates TCR signalling and leads to the depletion of non-conventional T cells upon KO. So far, the extensive length of the pri-miR-181 transcripts lacks explanation, but we created a pri-miR-181 ablation model that will be useful for further analysis of miR-181 development.
In Arabidopsis thaliana, the stem cell niche (SCN) within the root apical meristem (RAM) is maintained by an intricate regulatory network that ensures optimal growth and high developmental plasticity. Yet, many aspects of this regulatory network of stem cell quiescence and replenishment are still not fully understood. Here, we investigate the interplay of the key transcription factors (TFs) BRASSINOSTEROID AT VASCULAR AND ORGANIZING CENTRE (BRAVO), PLETHORA 3 (PLT3) and WUSCHEL-RELATED HOMEOBOX 5 (WOX5) involved in SCN maintenance. Phenotypical analysis of mutants involving these TFs uncover their combinatorial regulation of cell fates and divisions in the SCN. Moreover, interaction studies employing fluorescence resonance energy transfer fluorescence lifetime imaging microscopy (FRET-FLIM) in combination with novel analysis methods, allowed us to quantify protein-protein interaction (PPI) affinities as well as higher-order complex formation of these TFs. We integrated our experimental results into a computational model, suggesting that cell type specific profiles of protein complexes and characteristic complex formation, that is also dependent on prion-like domains in PLT3, contribute to the intricate regulation of the SCN. We propose that these unique protein complex ‘signatures’ could serve as a read-out for cell specificity thereby adding another layer to the sophisticated regulatory network that balances stem cell maintenance and replenishment in the Arabidopsis root.
Natural History institutes hold an immense number of specimens and artefacts. For years these collections were not accessible online, remaining inaccessible to researchers from far away and hidden from the general public. Large digitisation projects and cross-institutional agreements aim to bring their collections into the digital era, such as the SYNTHESYS+ project and the Distributed System of Scientific Collections (DiSSCo) Research Infrastructure. As specimens are 3D physical objects with different characteristics many techniques are available to 3D digitise them. For inexperienced users this can be quite overwhelming. Which techniques are already well tested in other institutions and are suitable for a specific specimen or collection? To investigate this, we have set up a dichotomous identification key for digitisation techniques: DIGIT-KEY, (https://digit.naturalheritage.be/digit-key). For each technique, examples used in SYNTHESYS+ Institutions are visualised and training manuals provided. All information can be easily updated and representatives can be contacted if necessary to request more information about a certain technique. This key can be helpful to achieve comparable results across institutions when digitising collections on demand in future DiSSCo research initiatives coordinated through the European Loans and Visits System (ELViS) for Virtual and Transnational Access.
The improvement of cancer chemotherapy remains a major challenge, and thus new drugs are urgently required to develop new treatment regimes. Curcumin, a polyphenolic antioxidant derived from the rhizome of turmeric (Curcuma longa L.), has undergone extensive preclinical investigations and, thereby, displayed remarkable efficacy in vitro and in vivo against cancer and other disorders. However, pharmacological limitations of curcumin stimulated the synthesis of numerous novel curcumin analogs, which need to be evaluated for their therapeutic potential. In the present study, we calculated the binding affinities of 50 curcumin derivatives to known cancer-related target proteins of curcumin, i.e., epidermal growth factor receptor (EGFR) and nuclear factor κB (NF-κB) by using a molecular docking approach. The binding energies for EGFR were in a range of −12.12 (±0.21) to −7.34 (±0.07) kcal/mol and those for NF-κB ranged from −12.97 (±0.47) to −6.24 (±0.06) kcal/mol, indicating similar binding affinities of the curcumin compounds for both target proteins. The predicted receptor-ligand binding constants for EGFR and curcumin derivatives were in a range of 0.00013 (±0.00006) to 3.45 (±0.10) µM and for NF-κB in a range of 0.0004 (±0.0003) to 10.05 (±4.03) µM, indicating that the receptor-ligand binding was more stable for EGFR than for NF-κB. Twenty out of 50 curcumin compounds showed binding energies to NF-κB smaller than −10 kcal/mol, while curcumin as a lead compound revealed free binding energies of >−10 kcal/mol. Comparable data were obtained for EGFR: 15 out of 50 curcumin compounds were bound to EGFR with free binding energies of <−10 kcal/mol, while the binding affinity of curcumin itself was >−10 kcal/mol. This indicates that the derivatization of curcumin may indeed be a promising strategy to improve targe specificity and to obtain more effective anticancer drug candidates. The in silico results have been exemplarily validated using microscale thermophoresis. The bioactivity has been further investigated by using resazurin cell viability assay, lactate dehydrogenase assay, flow cytometric measurement of reactive oxygen species, and annexin V/propidium iodide assay. In conclusion, molecular docking represents a valuable approach to facilitate and speed up the identification of novel targeted curcumin-based drugs to treat cancer.