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The change in allele frequencies within a population over time represents a fundamental process of evolution. By monitoring allele frequencies, we can analyze the effects of natural selection and genetic drift on populations. To efficiently track time-resolved genetic change, large experimental or wild populations can be sequenced as pools of individuals sampled over time using high-throughput genome sequencing (called the Evolve & Resequence approach, E&R). Here, we present a set of experiments using hundreds of natural genotypes of the model plant Arabidopsis thaliana to showcase the power of this approach to study rapid evolution at large scale. First, we validate that sequencing DNA directly extracted from pools of flowers from multiple plants -- organs that are relatively consistent in size and easy to sample -- produces comparable results to other, more expensive state-of-the-art approaches such as sampling and sequencing of individual leaves. Sequencing pools of flowers from 25-50 individuals at ∼40X coverage recovers genome-wide frequencies in diverse populations with accuracy r > 0.95. Secondly, to enable analyses of evolutionary adaptation using E&R approaches of plants in highly replicated environments, we provide open source tools that streamline sequencing data curation and calculate various population genetic statistics two orders of magnitude faster than current software. To directly demonstrate the usefulness of our method, we conducted a two-year outdoor evolution experiment with A. thaliana to show signals of rapid evolution in multiple genomic regions. We demonstrate how these laboratory and computational Pool-seq-based methods can be scaled to study hundreds of populations across many climates.
Tracking influenza a virus infection in the lung from hematological data with machine learning
(2022)
The tracking of pathogen burden and host responses with minimal-invasive methods during respiratory infections is central for monitoring disease development and guiding treatment decisions. Utilizing a standardized murine model of respiratory Influenza A virus (IAV) infection, we developed and tested different supervised machine learning models to predict viral burden and immune response markers, i.e. cytokines and leukocytes in the lung, from hematological data. We performed independently in vivo infection experiments to acquire extensive data for training and testing purposes of the models. We show here that lung viral load, neutrophil counts, cytokines like IFN-γ and IL-6, and other lung infection markers can be predicted from hematological data. Furthermore, feature analysis of the models shows that blood granulocytes and platelets play a crucial role in prediction and are highly involved in the immune response against IAV. The proposed in silico tools pave the path towards improved tracking and monitoring of influenza infections and possibly other respiratory infections based on minimal-invasively obtained hematological parameters.
To fight the global problems of humanity, the United Nations has adopted 17 Sustainable Development Goals (SDGs). To achieve these goals, it is necessary that future decision-makers and stakeholders in society consider these goals to be important. Therefore, in this study, we examined how important students in 41 countries directly related to the environmental sector rated each of the 17 SDGs. Based on the analysis of these ratings, it was possible to categorize the SDGs into three higher-level factors that reflect the three pillars of sustainability (social, economic, environmental). These three pillars are considered to be of varying importance in different countries. We also correlated the ratings of these higher-level factors with country-specific indicators, such as the Human Development Index. The correlations between the indicators and the higher-level factors revealed that in countries with higher indices, the SDGs are rated as less important compared to in countries with lower indices. These results provide stakeholders with important guidance on how the SDGs should be promoted in their country.
Relationships among laurasiatherian clades represent one of the most highly disputed topics in mammalian phylogeny. In this study, we attempt to disentangle laurasiatherian interordinal relationships using two independent genome-level approaches: (1) quantifying retrotransposon presence/absence patterns, and (2) comparisons of exon datasets at the levels of nucleotides and amino acids. The two approaches revealed contradictory phylogenetic signals, possibly due to a high level of ancestral incomplete lineage sorting. The positions of Eulipotyphla and Chiroptera as the first and second earliest divergences were consistent across the approaches. However, the phylogenetic relationships of Perissodactyla, Cetartiodactyla, and Ferae, were contradictory. While retrotransposon insertion analyses suggest a clade with Cetartiodactyla and Ferae, the exon dataset favoured Cetartiodactyla and Perissodactyla. Future analyses of hitherto unsampled laurasiatherian lineages and synergistic analyses of retrotransposon insertions, exon and conserved intron/intergenic sequences might unravel the conflicting patterns of relationships in this major mammalian clade.
Microbial production of chemicals is a sustainable alternative to conventional industrial processes. However, the implementation of exogenous metabolic pathways is hampered by slow diffusion rates, competing pathways, or secretion of intermediates. Pre-existing organelles have been harnessed to overcome these problems, but these approaches suffer from interference with endogenous pathways. We have developed a new concept for the compartmentalization of enzymatic pathways in ER-derived vesicles.
Non-ribosomal peptide synthetases (NRPSs) are modular biosynthetic megaenzymes producing many important natural products and refer to a specific set of peptides in bacteria’s and fungi’s secondary metabolism. With the actual purpose of providing advantages within their respective ecological niche, the bioactivity of the structurally highly diverse products ranges from, e.g., antibiotic (e.g., vancomycin) to immunosuppressive (e.g., cyclosporin A) to cytostatic (e.g., echinomycin or thiocoralin) activity.
An NRPS module consists of at least three core domains that are essential for the incorporation of specific substrates with the 'multiple carrier thiotemplate mechanism' into a growing peptide chain: an adenylation (A) domain selects and activates a cognate amino acid; a thiolation (T) domain shuffles the activated amino acid and the growing peptide chain, which are attached at its post-translationally 4ʹ-phosphopantetheine (4'-PPant) group, between the active sites; a condensation (C) domain links the upstream and downstream substrates. NRPS synthesis is finished with the transfer of the assembled peptide to the C-terminal chain-terminating domain. Accordingly, the intermediate is either released by hydrolysis as a linear peptide chain or by an intramolecular nucleophilic attack as a cyclic peptide.
The NRPS’s modular character seems to imply straightforward engineering to take advantage of their features but appears to be more challenging. Since the pioneering NRPS engineering approaches focused on the reprogramming and replacement of A domains, several working groups developed advanced methods to perform a complete replacement of subdomains or single or multiple catalytic domains.
The first part of this work focusses parts of the publication with the title 'De novo design and engineering of non-ribosomal peptide synthetases', which follows up assembly line engineering with the development of a new guideline. Thereby, the pseudodimeric V-shaped structure of the C domain is exploited to separate the N-terminal (CDSub) and C-terminal (CASub) subdomains alongside a four-AA-long linker. This results in the creation of self-contained, catalytically active CASub-A-T-CDSub (XUC) building blocks. As an advantage over the previous XU concept, the characteristics (substrate- and stereoselectivity) assigned to the C domain subunits are likewise exchanged, and thus, no longer represent a barrier. Furthermore, with the XUC concept, no important interdomain interfaces are disrupted during the catalytic cycle of NRPS, allow to expect much higher production titers. Moreover, the XUC concept shows a more flexible application within its genus origin of building blocks to create peptide libraries. Additionally, with this concept only 80 different XUC building blocks are needed to cover the entire proteinogenic amino acid spectrum.
The second part of this work addresses the influence of the C domain on activity and specificity of A domains. In a comprehensive analysis, a clear influence of different C domains on the in vitro activation rate and the in vivo substrate spectrum could be observed. Further in situ and in silico characterizations indicate that these influences are neither the result of the respective A domains promiscuity nor the C domain’s proofreading, but due to an 'extended gatekeeping' function of the C domain. This novel term of an 'extended gatekeeping' function describes the very nature of interfaces that C domains can form with an A domain of interest. Therefore, the C-A interface is assumed to have a more significant contribution to a selectivity filter function.
The third part of this work combines the NRPS engineering with phylogenetic/evolutionary perspectives. At first, the C-A interface could be precisely defined and further identified to encode equivalent information corresponding to the complete C-A didomain. Moreover, the comparison of NRPSs topology reveals hints for a co-evolutionary relatedness of the C-A didomain and could be shown to reassemble even after separation. In this regard, based on a designed CAopt.py algorithm, the reassembling-compatibility of hybrid interfaces could be determined by scoring of the co-expressed NRPS hybrids. This algorithm also enables the randomization of the interface sequences, thus, leading to the identification of more functional interface variant, which cause significantly higher peptide production and could even be applied to other native and hybrid interfaces.
Wie Zootiere kommunizieren
(2022)
The intensive use of the North Sea area through offshore activities, sand mining, and the spreading of dredged material is leading to increasing pollution of the ecosystem by chemicals such as hydrophobic organic contaminants (HOCs). Due to their toxicological properties and their ability to accumulate in the environment, HOCs are of particular concern. The contaminants partition between aqueous (pore water, overlying water) and solid phases (sediment, suspended particulate matter, and biota) within these systems. The accumulated contaminants in the sediment are of major concern for benthic organisms, who are in close contact with sediment and interstitial water. It is thus particularly important to better understand how contaminants interact with biota, as these animals may contribute to trophic transfer through the food web. Furthermore, sediments are a crucial factor for the water quality of aquatic systems. They not only represent a sink for contaminants but also determine environmental fate, bioavailability, and toxicity. The Marine Strategy Framework Directive (MSFD) was introduced to protect our marine environment across Europe and includes the assessment of pollutant concentrations in the total sediment, which, however, rarely reflects the actual exposure situation. The consideration of the pollutant concentrations in the pore water is not implemented, although this is needed for the evaluation of bioavailability and risk assessment. For this reason, special attention is given to further development, implementation, and validation of pollutant monitoring methods that can determine the bioavailable fraction in sediment pore water. For risk assessment purposes, it is furthermore important to use biological indicators in addition to classical analytics to determine the effect of pollutants on organisms. The main objective of this thesis was to gain insight into the pollution load and the potential risk of hydrophobic organic chemicals (HOCs) in the sediment of the North Sea and to evaluate these results with regard to possible risks for benthic organisms and the ecosystem. The following five aims are covered within these studies to gain a holistic assessment of sediment contamination:
1. Assessment of the pore water concentrations of PAHs and PCBs
2. Determination of the bioturbation potential by macrofauna analysis
3. Application of the SPME method on biological tissue
4. Assessment of recreated environmental mixtures in passive dosing bioassays
5. Development of SPME method for DDT in sediments
The thesis is comprised of three main studies supported by three additional studies ...
The increasing demand of the high value ω-3 fatty acids due to its beneficial role for human health, explains the huge need for alternative production ways of ω-3 fatty acids. The oleaginous alga Phaeodactylum tricornutum is a prominent candidate and has been investigated as biofactory for ω-3 fatty acids, e.g. the synthesis of eicosapentaenoic acid (EPA). In general, the growth and the lipid content of diatoms can be enhanced by genetic engineering or are influenced by environmental factors, e.g. nutrients, light or temperature.
In this study, the potential of P. tricornutum as biofactory was improved by heterologously expressing the hexose uptake protein 1 (HUP1) from the Chlorophyte Chlorella kessleri.
An in situ localization study revealed that only the full length HUP1 protein fused to eGFP was correctly targeted to the plasma membrane, whereas the N-terminal sequence of the protein is only sufficient to enter the ER. Protein and gene expression data displayed that the gene-promoter combination was relevant for the expression level of HUP1, while only cells expressing the protein under the light-inducible fcpA promoter showed a significant expression. In these mutants an efficient glucose uptake was detectable under mixotrophic growth condition, low light intensities and low glucose concentrations leading to an increased cell dry weight.
In a second approach, the growth and lipid content of wildtype cells were analyzed in a small 1l photobioreactor. Here, a commercial F/2 medium and a common culture medium, ASP and modified versions were compared. There was neither a significant impact on the growth and lipid content in P. tricornutum cells due to the supplemention of trace elements nor due to elevated salt concentrations in the media. In a modified version of ASP medium, with adapted nitrate and phosphate concentration a constantly high biomass productivity was achieved, yielding the highest value of 82 mg l-1 d-1 during the first three days. This was achieved even though light intensity was reduced by 40%. The differences in biomass productivity as well as the lipid content and the lipid composition underlined the importance of the choice of culture medium and the harvest time for enhanced growth and EPA yields in P. tricornutum.