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Orthologs document the evolution of genes and metabolic capacities encoded in extant and ancient genomes. Orthologous genes that are detected across the full diversity of contemporary life allow reconstructing the gene set of LUCA, the last universal common ancestor. These genes presumably represent the functional repertoire common to – and necessary for – all living organisms. Design of artificial life has the potential to test this. Recently, a minimal gene (MG) set for a self-replicating cell was determined experimentally, and a surprisingly high number of genes have unknown functions and are not represented in LUCA. However, as similarity between orthologs decays with time, it becomes insufficient to infer common ancestry, leaving ancient gene set reconstructions incomplete and distorted to an unknown extent. Here we introduce the evolutionary traceability, together with the software protTrace, that quantifies, for each protein, the evolutionary distance beyond which the sensitivity of the ortholog search becomes limiting. We show that the LUCA set comprises only high-traceable proteins most of which have catalytic functions. We further show that proteins in the MG set lacking orthologs outside bacteria mostly have low traceability, leaving open whether their eukaryotic orthologs have just been overlooked. On the example of REC8, a protein essential for chromosome cohesion, we demonstrate how a traceability-informed adjustment of the search sensitivity identifies hitherto missed orthologs in the fast-evolving microsporidia. Taken together, the evolutionary traceability helps to differentiate between true absence and non-detection of orthologs, and thus improves our understanding about the evolutionary conservation of functional protein networks.
Bacteria of the genera Photorhabdus and Xenorhabdus produce a plethora of natural products to support their similar symbiotic lifecycles. For many of these compounds, the specific bioactivities are unknown. One common challenge in natural product research when trying to prioritize research efforts is the rediscovery of identical (or highly similar) compounds from different strains. Linking genome sequence to metabolite production can help in overcoming this problem. However, sequences are typically not available for entire collections of organisms. Here we perform a comprehensive metabolic screening using HPLC-MS data associated with a 114-strain collection (58 Photorhabdus and 56 Xenorhabdus) from across Thailand and explore the metabolic variation among the strains, matched with several abiotic factors. We utilize machine learning in order to rank the importance of individual metabolites in determining all given metadata. With this approach, we were able to prioritize metabolites in the context of natural product investigations, leading to the identification of previously unknown compounds. The top three highest-ranking features were associated with Xenorhabdus and attributed to the same chemical entity, cyclo(tetrahydroxybutyrate). This work addresses the need for prioritization in high-throughput metabolomic studies and demonstrates the viability of such an approach in future research.
The Mediterranean fruit fly (medfly), Ceratitis capitata, is an important model organism in biology and agricultural research with high economic relevance. However, information about its embryonic development is still sparse. We share nine long-term live imaging datasets acquired with light sheet fluorescence microscopy (484.5 h total recording time, 373 995 images, 256 Gb) with the scientific community. Six datasets show the embryonic development in toto for about 60 hours at 30 minutes intervals along four directions in three spatial dimensions, covering approximately 97% of the entire embryonic development period. Three datasets focus on germ cell formation and head involution. All imaged embryos hatched morphologically intact. Based on these data, we suggest a two-level staging system that functions as a morphogenetic framework for upcoming studies on medfly. Our data supports research on wild-type or aberrant morphogenesis, quantitative analyses, comparative approaches to insect development as well as studies related to pest control. Further, they can be used to test advanced image processing approaches or to train machine learning algorithms and/or neuronal networks.
Complex peptide natural products exhibit diverse biological functions and a wide range of physico-chemical properties. As a result, many peptides have entered the clinics for various applications. Two main routes for the biosynthesis of complex peptides have evolved in nature: ribosomally synthesized and post-translationally modified peptide (RiPP) biosynthetic pathways and non-ribosomal peptide synthetases (NRPSs). Insights into both bioorthogonal peptide biosynthetic strategies led to the establishment of universal principles for each of the two routes. These universal rules can be leveraged for the targeted identification of novel peptide biosynthetic blueprints in genome sequences and used for the rational engineering of biosynthetic pathways to produce non-natural peptides. In this review, we contrast the key principles of both biosynthetic routes and compare the different biochemical strategies to install the most frequently encountered peptide modifications. In addition, the influence of the fundamentally different biosynthetic principles on past, current and future engineering approaches is illustrated. Despite the different biosynthetic principles of both peptide biosynthetic routes, the arsenal of characterized peptide modifications encountered in RiPP and NRPS systems is largely overlapping. The continuous expansion of the biocatalytic toolbox of peptide modifying enzymes for both routes paves the way towards the production of complex tailor-made peptides and opens up the possibility to produce NRPS-derived peptides using the ribosomal route and vice versa.
Detailed information on species temperature preferences are needed to measure the effects of global warming on species and communities in European rivers. However, information currently available in the literature on taxon-specific temperature preferences or temperature tolerances is very heterogeneous and therefore not well suited for forecasting purposes. To close this gap, we derived so-called ’central temperature tendencies’ (CTTt values) for benthic invertebrate species. For this end, 547 species and temperature data from regional monitoring programmes in Germany collected at 4249 sites were analysed. Due to the vulnerability of species to high
temperatures, CTTt values were calculated for mean summer temperatures, following a robust approach of calculating a weighted average based on temperature classes. Derived CTTt values correspond well to species temperature preferences as reported in literature as long as the latter were homogeneous in terms of how they were derived and which temperature reference was at focus. Based on taxon-specific CTTt values, a community value, CTTCom, was calculated for each benthic invertebrate sample. CTTCom values were validated by correlation with mean summer water temperatures. As the slope a of the linear regression model between CTTCom values and measured summer temperatures was comparatively low (a = 0.49), a correction function was derived in order to optimise the relation between both. This was crucial, because it is assumed that although CTTt was derived solely from taxa abundances within summer temperature classes, CTTCom not only reflects the effect of (summer) water temperature itself, but also corresponds to a temperature equivalent value, which describes the overall quality of all respiration-relevant aquatic summer habitat conditions that determine the metabolism of respective benthic invertebrates. By comparing this equivalent value with water temperatures measured in the year previous of sampling, statements can be made about the influence of flow conditions and other factors determining oxygen availability.
Thus, CTTCom reflects the mean aerobic scope of the overall benthic invertebrate fauna: the better the respiration conditions for rheophilic species with high oxygen demand, the larger the aerobic scope and the lower CTTCom.
The approach taken in our study is promising and provides a tool to track and even project past, present, and future impacts of global warming on benthic invertebrates in rivers based on measured values of respiratory relevant environmental variables. We encourage all stakeholders in the field of freshwater ecology to test this
The filamentous ascomycete Podospora anserina is a well-established model system to study organismic aging. Its senescence syndrome has been investigated for more than fifty years and turned out to have a strong mitochondrial etiology. Several different mitochondrial pathways were demonstrated to affect aging and lifespan. Here, we present an update of the literature focusing on the cooperative interplay between different processes.
Untersuchungen zur Bedeutung selektiver Autophagie für Alterungsprozesse von Podospora anserina
(2022)
Das Ziel der vorliegenden Arbeit war, die Funktion und die Rolle von Autophagie-assoziierten Proteinen im Alternsmodell Podospora anserina zu untersuchen und einen Einblick in die nicht-selektive Autophagie, die Mitophagie und die Bildung und den Abbau von Autophagosomen im Zusammenhang zur Alterung von P. anserina zu analysieren. Dabei wurden folgende Erkenntnisse erhalten:
1. Die Untersuchungen zu ΔPaAtg8 bestätigen, dass die PaATG8-abhängige Autophagosomenbildung zur Aufrechterhaltung der Lebensspanne benötigt wird. In ΔPaAtg8 kommt es zu einem Verlust der nicht-selektiven Autophagie. Die Mitophagie hingegen ist auch ohne PaATG8 partiell möglich und es liegt ein PaATG8-unabhängiger Abbau von mitochondrialen Proteinen in P. anserina vor.
2. In P. anserina ist PaATG11 an der nicht-selektiven Autophagie beteiligt und auch die Mitophagie erfolgt in Abhängigkeit dieses Gerüstproteins. Während der PaAtg11-Deletionsstamm unter Normalbedingungen keinen zum Wildtyp veränderten Phänotyp zeigt, führt eine Kultivierung auf M2-Medium mit Glycerin als einziger Kohlenstoffquelle zu einer starken Verkürzung der Lebensspanne. Eine mikroskopische Untersuchung der Mitochondrien zeigte, dass im juvenilen Altersstadium von ΔPaAtg11 stark fragmentierte Mitochondrien vorliegen. Während der Alterung normalisiert sich die Mitochondrienmorphologie wieder. Der mitochondriale Funktionsverlust wird möglicherweise von den fragmentierten Mitochondrien ausgelöst, denn eine Kultivierung von älteren ΔPaAtg11-Stämmen auf M2-Medium mit Glycerin führt zu einer Normalisierung der Lebensspanne.
3. Die initialen Untersuchungen zur ΔPaAtg11/ΔPaAtg24-Doppelmutante zeigen, dass es bei der Kultivierung unter Normalbedingungen zu einem additiven Effekt der beiden Genverluste kommt. Bei der Anzucht auf M2-Medium mit Glycerin hingegen kann eine im Vergleich zum ΔPaAtg11-Stamm längere Lebensspanne festgestellt werden. Die Mikroskopie der Mitochondrien in ΔPaAtg11/ΔPaAtg24 zeigt, dass im juvenilen Alter zum Wildtyp vergleichbare filamentöse Mitochondrien vorhanden sind.
4. In P. anserina ist PaATG24 kein Mitophagierezeptorprotein, da im PaAtg24-Deletionsstamm eine Beeinträchtigung der nicht-selektiven Autophagie vorliegt. Auch die Mitophagie ist in diesem Stamm geschädigt. Die mikroskopische Betrachtung der Mitochondrien zeigt keinen Unterschied zum Wildtyp. Bei der Untersuchung zur Mitochondrienfunktion durch M2-Medium mit Glycerin ist wie unter Normalbedingungen eine verkürzte Lebensspanne feststellbar.
5. Der Abbau von GFP::PaATG8 ist in der PaAtg24-Deletionsmutante signifikant verringert und es kommt zu einer Akkumulation von Autophagosomen, somit liegt in diesem Stamm eine Beeinträchtigung des autophagosomalen Flusses vor. Bei der mikroskopischen Untersuchung von PaATG24 zeigt sich, dass dieses Protein in P. anserina im Bereich der Vakuolen lokalisiert ist. Die Analyse der Vakuole-Autophagosomen-Fusion zeigt jedoch, dass dieser Mechanismus unabhängig von PaATG24 ist. Die Vakuolenmorphologie und Vakuolengröße ist in ΔPaAtg24 beeinträchtigt und dadurch kommt es zu dem beobachteten Defekt der nicht-selektiven und selektiven Autophagie.
Mutational analysis of ribosomal DNA and maturation-scheme analysis of ribosomal RNA in A. thaliana
(2022)
Ribosome biogenesis is a fundamental cellular process beginning with long precursor rRNA transcription from multi-copies of repetitive 45S ribosomal DNAs. At the subunit level, the primary pre-rRNA transcript encapsuled in 90S protein-RNA complex undergoes decisive splitting in two chief ways for further maturation into large (LSU) and small (SSU) ribosomal subunit. The usage of specific rDNA copies from defined chromosomes and their selective role during growth and development have been a topic of interest owing to its contribution to specialized ribosome theory which proposes non-monolithic functions for ribosomes and thereby their mRNA translation potential. Dual-guide CRISPR/Cas9 mediated disruption of rDNA regions resulted in stable disruption of up to 2.5% and 5% of all rDNA copies in hetero- and homozygous (ploop KD) conditions, respectively. At the RNA level, the mutation excised a critical structural element, P-loop on the LSU 25S rRNA. Mutation caused a dosage dependent defect with homozygosity leading to severe developmental defects through vegetative and reproductive growth phases which is manifested in their proteome by means of disregulation through both increase and decrease of several gene ontological categories of proteins in mutants. Interestingly, the mutation on chromosome 4 triggered dosage compensation through rRNA expression from chromosome 2 further compounded by ectopic rRNA biogenesis defects. The mutated copies however are not incorporated in the translating ribosomes and as a direct or indirect consequence led to elevated basal autophagic levels in the mutants.
The primary 35S transcript is known to undergo two modes of initial cleavages at the pre-rRNA level that aid in their subsequent maturation. Root cell culture (RCC) studies shows that these cells contain a novel ITS2-first cleaved precursor even under control growth conditions, P-C2 adding a third maturation means for the 35S pre-rRNA. This maturation path is further known to be triggered under elevated growth temperature forming a novel adaptive response in Arabidopsis and two other crop plants, tomato, and rice. Taken together, the pulse-chase labeling analysis of control and stressed tissues uncovers the fine-tuned pre-rRNA schematics with crossovers between multiple maturation paths.
Size and shape variation of molar crowns in primates plays an important role in understanding how species adapted to their environment. Gorillas are commonly considered to be folivorous primates because they possess sharp cusped molars which are adapted to process fibrous leafy foods. However, the proportion of fruit in their diet can vary significantly depending on their habitats. While tooth morphology can tell us what a tooth is capable of processing, tooth wear can help us to understand how teeth have been used during mastication. The objective of this study is to explore if differences in diet at the subspecies level can be detected by the analysis of molar macrowear. We analysed a large sample of second lower molars of Grauer’s, mountain and western lowland gorilla by combining the Occlusal Fingerprint Analysis method with other dental measurements. We found that Grauer’s and western lowland gorillas are characterised by a macrowear pattern indicating a larger intake of fruit in their diet, while mountain gorilla’s macrowear is associated with the consumption of more folivorous foods. We also found that the consumption of herbaceous foods is generally associated with an increase in dentine and enamel wear, confirming the results of previous studies.
The SARS-CoV-2 nucleocapsid (N) protein is crucial for the highly organized packaging and transcription of the genomic RNA. Studying atomic details of the role of its intrinsically disordered regions (IDRs) in RNA recognition is challenging due to the absence of structure and to the repetitive nature of their primary sequence. IDRs are known to act in concert with the folded domains of N and here we use NMR spectroscopy to identify the priming events of N interacting with a regulatory SARS-CoV-2 RNA element. 13C-detected NMR experiments, acquired simultaneously to 1H detected ones, provide information on the two IDRs flanking the N-terminal RNA binding domain (NTD) within the N-terminal region of the protein (NTR, 1–248). We identify specific tracts of the IDRs that most rapidly sense and engage with RNA, and thus provide an atom-resolved picture of the interplay between the folded and disordered regions of N during RNA interaction.