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he most basic behavioural states of animals can be described as active or passive. While high-resolution observations of activity patterns can provide insights into the ecology of animal species, few methods are able to measure the activity of individuals of small taxa in their natural environment. We present a novel approach in which a combination of automatic radiotracking and machine learning is used to distinguish between active and passive behaviour in small vertebrates fitted with lightweight transmitters (<0.4 g).
We used a dataset containing >3 million signals from very-high-frequency (VHF) telemetry from two forest-dwelling bat species (Myotis bechsteinii [n = 52] and Nyctalus leisleri [n = 20]) to train and test a random forest model in assigning either active or passive behaviour to VHF-tagged individuals. The generalisability of the model was demonstrated by recording and classifying the behaviour of tagged birds and by simulating the effect of different activity levels with the help of humans carrying transmitters. The model successfully classified the activity states of bats as well as those of birds and humans, although the latter were not included in model training (F1 0.96–0.98).
We provide an ecological case-study demonstrating the potential of this automated monitoring tool. We used the trained models to compare differences in the daily activity patterns of two bat species. The analysis showed a pronounced bimodal activity distribution of N. leisleri over the course of the night while the night-time activity of M. bechsteinii was relatively constant. These results show that subtle differences in the timing of species' activity can be distinguished using our method.
Our approach can classify VHF-signal patterns into fundamental behavioural states with high precision and is applicable to different terrestrial and flying vertebrates. To encourage the broader use of our radiotracking method, we provide the trained random forest models together with an R package that includes all necessary data processing functionalities. In combination with state-of-the-art open-source automated radiotracking, this toolset can be used by the scientific community to investigate the activity patterns of small vertebrates with high temporal resolution, even in dense vegetation.
The most basic behavioural states of animals can be described as active or passive. However, while high-resolution observations of activity patterns can provide insights into the ecology of animal species, few methods are able to measure the activity of individuals of small taxa in their natural environment. We present a novel approach in which the automated VHF radio-tracking of small vertebrates fitted with lightweight transmitters (< 0.2 g) is used to distinguish between active and passive behavioural states.
A dataset containing > 3 million VHF signals was used to train and test a random forest model in the assignment of either active or passive behaviour to individuals from two forest-dwelling bat species (Myotis bechsteinii (n = 50) and Nyctalus leisleri (n = 20)). The applicability of the model to other taxonomic groups was demonstrated by recording and classifying the behaviour of a tagged bird and by simulating the effect of different types of vertebrate activity with the help of humans carrying transmitters. The random forest model successfully classified the activity states of bats as well as those of birds and humans, although the latter were not included in model training (F-score 0.96–0.98).
The utility of the model in tackling ecologically relevant questions was demonstrated in a study of the differences in the daily activity patterns of the two bat species. The analysis showed a pronounced bimodal activity distribution of N. leisleri over the course of the night while the night-time activity of M. bechsteinii was relatively constant. These results show that significant differences in the timing of species activity according to ecological preferences or seasonality can be distinguished using our method.
Our approach enables the assignment of VHF signal patterns to fundamental behavioural states with high precision and is applicable to different terrestrial and flying vertebrates. To encourage the broader use of our radio-tracking method, we provide the trained random forest models together with an R-package that includes all necessary data-processing functionalities. In combination with state-of-the-art open-source automated radio-tracking, this toolset can be used by the scientific community to investigate the activity patterns of small vertebrates with high temporal resolution, even in dense vegetation.
One of the earliest consequences of slicing plant storage organs such as potato tubers into thin disks is the formation of polysomes, which in potato slices is complete after 9 hours and is dependent on transcription. Fresh disks do not incorporate 32P, 3H-uridine or 14C-leucine into their ribosomes, whereas ribosomes and polysomes of aged disks use these precursors effectively. This development can be completely blocked by actinomycin D. Among the different RNAs synthesized during aging is 28S- and 16S—rRNA, 5S—RNA, tRNA, and a component sedimenting around 15—18S with a base-composition different from 16S—rRNA, 5S- and 4S—RNA and which supports peptide formation in an in vitro incorporation system.
It is suggested that this compound represents mRNA, which is not available immediately after slicing the tissue. These findings are consistent with the view of a derepression phenomenon in sliced storage tissue.
Whereas ribosome preparations of freshly sliced potato disks do not show appreciable activity in an in-vitro amino acid incorporation system, aging of the tissue leads to a greatly enhanced incorporation activity which reaches its maximum 24 hours after slicing. If ribosomes from freshly excised disks are provided with polyuridylic acid, their activity in the incorporation of phenylalanine is increased about 8 fold.
Moreover, an RNA-fraction can be dissociated by EDTA from ribosomes of aged potato tuber slices, which sediments at 15 —18S, has a base composition different from that of 16S — rRNA, 5S-and 4S —RNA, and is not present on ribosomes of fresh slices. Its appearance is inhibited by actinomycin D and therefore most probably dependent on transcription. This compound, purified from sucrose gradients, enhances in vitro leucine incorporation into peptide material by ribosomes of fresh potato slices.
The possibility is discussed that this fraction-among other factors-is responsible for the enhanced protein synthesis after slicing plant storage organs, and is indicative of a general derepression phenomenon in these tissues.
Macrophage infectivity potentiator (MIP) proteins are widespread in human pathogens including Legionella pneumophila, the causative agent of Legionnaires’ disease and protozoans such as Trypanosoma cruzi. All MIP proteins contain a FKBP (FK506 binding protein)-like prolyl-cis/trans-isomerase domain that hence presents an attractive drug target. Some MIPs such as the Legionella protein (LpMIP) have additional appendage domains of mostly unknown function. In full-length, homodimeric LpMIP, the N-terminal dimerization domain is linked to the FKBP-like domain via a long, free-standing stalk helix. Combining X-ray crystallography, NMR and EPR spectroscopy and SAXS, we elucidated the importance of the stalk helix for protein dynamics and inhibitor binding to the FKBP-like domain and bidirectional crosstalk between the different protein regions. The first comparison of a microbial MIP and a human FKBP in complex with the same synthetic inhibitor was made possible by high-resolution structures of LpMIP with a [4.3.1]-aza-bicyclic sulfonamide and provides a basis for designing pathogen-selective inhibitors. Through stereospecific methylation, the affinity of inhibitors to to L. pneumophila and T. cruzi MIP was greatly improved. The resulting X-ray inhibitor-complex structures of LpMIP and TcMIP at 1.49 and 1.34 Å, respectively, provide a starting point for developing potent inhibitors against MIPs from multiple pathogenic microorganisms.
Fluorescense spectra of lactate dehydrogenase * (E.C. 1.1.1.27) were investigated in the presence of the coenzyme fragments dihydronicotinamide mononucleotide and dihydronicotinamide-ribose-5'-pyrophospho- (P2) -5“-ribose. The reduced mononucleotide is enzymatically less active as a hydrogen donor. However, formation of a complex with the enzyme was not observed under the conditions used. All the other substances: dihydronicotinamide-ribose-5'-pyrophospho- (P2) -5“-ribose, dihydronicotinamide- benzimidazole-dinucleotide, dihydronicotinamide-3-desazapurine-dinucleotide and dihydronicotinamide-6-mercaptopurine-dinucleotide form more or less stable complexes with lactate dehydrogenase. The complexes do not markedly differ from the complex formed with the natural cofactor. In all cases spectra indicate change in conformation of the coenzyme by forming the coenzyme-enzyme-complex which has been proposed by VELICK 1 too. The cysteine residues of the lactate dehydrogenase are not essential for binding the coenzyme to the active center; this was shown with mercury blocked enzyme.
The production of ribosomes is a complicated multistep, that is susceptible to changes occurring within the cell and its environment. The process itself requires many proteins, known as ribosome biogenesis factors (RBFs) and many non-coding RNAs like the small nucleolar RNAs (snoRNAs). While RBFs are required for the accurate processing of the pre-rRNA into mature rRNAs, the snoRNAs act to coordinate and guide enzymes for post-transcriptional modifications, chiefly 2´-O-ribose methylation and pseudouridylation. While ribosome biogenesis is mostly described in human and yeast model eucaryotes, similar detailed studies in the model plant Arabidopsis thaliana are far less explored and understood. Furthermore, for many experimentally confirmed modification sites the according snoRNAs and for many pre-rRNA processing steps the responsible RBFs are missing. Therefore, it is expected that a high number of snoRNAs and RBFs are not identified till yet. For this reason, RNA-deep sequencing was performed in order to identify novel snoRNAs and MS analysis data of nucleoli and nuclei of A. thaliana from a former PhD student were used in order to find new proteins involved in pre-rRNA processing.
In here, it is shown that with RNA deep-sequencing still new snoRNAs and snRNAs can be identified and that detection of predicted snoRNAs can be fulfilled with a) antisense oligonucleotides tagged with fluorescence dyes and b) with radioactive labeled antisense probes. Furthermore, a secondary structure map of the 60S and 40S subunit highlighting the predicted and moreover verified modification sites in 5.8S, 25S and 18S rRNA was created. Especially, the correlation between the modification sites and the guiding snoRNA is highlighted further shedding light on overview about current pre-rRNA modification sites and corresponding guiding snoRNAs. The next chapter reveals the complex and multi-layered existence of the 5.8S rRNA and its numerous precursors. The mutant prp24 (also known as seap1) encoding AtPRP24, is recognized as factor being important for splicing as it is promoting the recruitment of the U4 and U6 snRNAs to the spliceosome. In here, it was found that AtPRP24 is involved in processing of 5.8S rRNA precursors, recognizable by precursors that are over accumulating in the mutant. Moreover, it could be shown for the first time that the plant-specific precursor 5´-5.8S is exported to the cytoplasm, where final cleavage steps of 5.8S rRNA takes place. In the prp24.2 mutant, this precursor is exported at an increased rate to the cytoplasm, where it can be detected in the actively translating ribosomes (polysomes). A lower sensitivity of the mutant seeds to cycloheximide (CHX) suggests that due to the extension at the 5´-end of 5.8S, the structure of the 60S subunit has altered CHX binding. In conclusion, this work highlights the importance and complexity of 5.8S rRNA and its precursors for ribosome biogenesis and displays new insights into pre-rRNA processing in A. thaliana.
Xylose, an abundant sugar fraction of lignocellulosic biomass, is a five-carbon skeleton molecule. Since decades, utilization of this sugar has gained much attention and has been in particular focus as a substrate for production of biofuels like ethanol by microbial hosts, including Saccharomyces cerevisiae. In this yeast, xylose is naturally not used as a carbon source, but its utilization could be achieved by metabolic engineering either via the oxidoreductive route or through the isomerase pathway. Both pathways share xylulose as a common intermediate that must be phosphorylated before entering the endogenous metabolism via the non-oxidative pentose phosphate pathway (noxPPP). Besides this, in some bacteria a non-phosphorylating oxidative pathway for xylose degradation exists, known as Weimberg pathway, where a molecule of xylose is converted by a series of enzymes - xylose dehydrogenase (XylB), xylonate dehydratase (XylD), 3-keto-2-deoxy-xylonate dehydratase (XylX) and α-ketoglutarate semialdehyde dehydrogenase (KsaD) - to form α-ketoglutarate (AKG). Besides having several useful properties as a product, AKG could also be used for cell growth as an intermediate of the tricarboxylic acid (TCA) cycle. One target of the present study is to establish a functional Weimberg pathway in S. cerevisiae. Previous studies have shown that this task is not trivial, for instance due to the toxicity of xylonate (the first metabolite of the pathway) and the involvement of an iron-sulfur cluster dependent enzyme, the D-xylonate dehydratase. The assembly of iron-sulfur clusters on a heterologous protein in yeast is known to be challenging.
To establish the Weimberg pathway in yeast, the genes xylB, xylD, and xylX were obtained from Caulobacter cresentus and ksaD was from Corynebacterium glutamicum. In a variant, the dehydratase xylD was replaced with orf41 from Arthrobacter nicotinovorans, which is believed to be independent of iron-sulfur clusters. Growth of yeast cells on xylose as a sole carbon source was expected as an indicator of a functional Weimberg pathway. However, the heterologous expression of the codon optimized genes was not sufficient to reach this goal. Due to the complexity of the interactions of the heterologous pathway with the endogenous cellular processes, it was assumed that potential limitations could be overcome by adaptive laboratory evolution, using xylose as a sole source of carbon. Increasing selection pressure was applied on a strain with Weimberg pathway genes integrated into the genome over several generations. As a variant of the evolutionary engineering approach, mutator strains were generated. For this, RAD27 and MSH2 genes were deleted, which are involved in nucleotide excision and mismatch repair mechanisms, respectively. Some of the resulting strains PRY24, PRY25, PRY27 and PRY28 were able grow in xylose as a sole carbon source after evolutionary engineering. As a control, a non-mutator strain PRY19 was also included. Strikingly, only the mutator strains were able to consume xylose as a sole carbon source, which shows the feasibility of the approach.
In addition to the mutator strain strategy, a further approach employed in the present study was the simultaneous expression of the Weimberg pathway in the cytosol and mitochondria. This was based on the reasoning that the iron-sulfur cluster biogenesis on XylD may be improved in the organelle and that the AKG is an intermediate of the TCA cycle. In the strain AHY02, all enzymes of the pathway were tagged with mitochondrial targeting signals in addition to a full cytosolically localized pathway. The localization of the mitochondrial variants was confirmed by fluorescence microscopy. Together with AHY02, CEN.PK2-1C wild type strain was also included as a control for evolution. When a selection pressure on xylose was applied, both strains - AHY02 and CEN.PK2-1C - were able to grow in the course of evolution. Deletion of the xylulokinase (XKS1) gene was found to be detrimental for both evolved strains in xylose-containing media. This suggests that the evolution of the endogenous oxidoreductive and noxPPP genes is responsible for growth of the evolved cells. For the evolved strain AHY02, it could also be possible that the Weimberg pathway genes supported to growth in addition to the oxidoreductive route. To elucidate the underlying molecular mechanisms, genome sequencing and reverse engineering approaches would be necessary in future.
In addition to screening for growth on xylose as a sole carbon source, a less stringent screening system was created to examine even a minor flux of xylose towards AKG. For this, all genes necessary for conversion of isocitrate to AKG where deleted, yielding a glutamate auxotrophic strain. In this system, the cells can grow on other carbon sources, whereas xylose is only provided as a source of AKG for the synthesis of glutamate...
Identification of new natural products from nematode-associated bacteria using mass spectrometry
(2023)
This work aims to find unknown natural products produced by bacteria, that live in close association with nematodes and to elucidate their structure by using mass spectrometry.
The first chapter of this work is dedicated to the detection of hitherto unknown natural products by using a metabolomics approach and subsequent structure elucidation of said compounds. This chapter includes metabolomics analysis of Xenorhabdus szentirmaii wild type and knockout mutants, overproduction of the target compound, identification of derivatives from other strains and MS based structure elucidation.
The second and third chapters are about natural products that protect C. elegans from B. thuringiensis infections.
The second chapter deals with natural products that protect the nematode host without killing the pathogen. I deployed molecular biology methods to generate deletion and overproduction strains of a target compound, identified it via LC-MS/MS analysis and used LC-MS/MS and lipidomics to analyse the chemical properties of the active compound.
The third chapter aims at finding natural products, which are produced by Pseudomonas strains MYb11 and MYb12, respectively. These natural products display the ability to protect C. elegans by killing B. thuringiensis. I identified said compounds via fractionation and subsequent bioactivity testing. After identification, I generated production strains of the target compounds and elucidated the structure of the bioactive derivative.
The last chapter deals with the structure elucidation of peptides produced by an unusual GameXPeptide synthetase in Xenorhabdus miraniensis. I analysed producer strains of GameXPeptides using LC-MS and elucidated the structural differences between the known GameXPeptides, produced by P. luminescens TT01, and the unusual ones produced by X. miraniensis.