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This work characterizes the post-PKS modifications of AQ-256. Additionally, the second part describes the establishment of an AQ production platform for electrolyte generation that can be utilized in redox-flow-batteries. Lastly, a silent BGC that encodes the genes for terpenoid biosynthesis was described and characterized with regards to product formation and putative ecological function.
Background: In times of global warming there is an urgent need to replace fossil fuel-based energy vectors by less carbon dioxide (CO2)-emitting alternatives. One attractive option is the use of molecular hydrogen (H2) since its combustion emits water (H2O) and not CO2. Therefore, H2 is regarded as a non-polluting fuel. The ways to produce H2 can be diverse, but steam reformation of conventional fossil fuel sources is still the main producer of H2 gas up to date. Biohydrogen production via microbes could be an alternative, environmentally friendly and renewable way of future H2 production, especially when the flexible and inexpensive C1 compound formate is used as substrate.
Results: In this study, the versatile compound formate was used as substrate to drive H2 production by whole cells of the thermophilic acetogenic bacterium Thermoanaerobacter kivui which harbors a highly active hydrogen-dependent CO2 reductase (HDCR) to oxidize formate to H2 and CO2 and vice versa. Under optimized reaction conditions, T. kivui cells demonstrated the highest H2 production rates (qH2 = 685 mmol g−1 h−1) which were so far reported in the literature for wild-type organisms. Additionally, high yields (Y(H2/formate)) of 0.86 mol mol−1 and a hydrogen evolution rate (HER) of 999 mmol L−1 h−1 were observed. Finally, stirred-tank bioreactor experiments demonstrated the upscaling feasibility of the applied whole cell system and indicated the importance of pH control for the reaction of formate-driven H2 production.
Conclusions: The thermophilic acetogenic bacterium T. kivui is an efficient biocatalyst for the oxidation of formate to H2 (and CO2). The existing genetic tool box of acetogenic bacteria bears further potential to optimize biohydrogen production in future and to contribute to a future sustainable formate/H2 bio-economy.
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.
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.
The mammalian frontal and auditory cortices are important for vocal behavior. Here, using local-field potential recordings, we demonstrate that the timing and spatial patterns of oscillations in the fronto-auditory network of vocalizing bats (Carollia perspicillata) predict the purpose of vocalization: echolocation or communication. Transfer entropy analyses revealed predominant top-down (frontal-to-auditory cortex) information flow during spontaneous activity and pre-vocal periods. The dynamics of information flow depend on the behavioral role of the vocalization and on the timing relative to vocal onset. We observed the emergence of predominant bottom-up (auditory-to-frontal) information transfer during the post-vocal period specific to echolocation pulse emission, leading to self-directed acoustic feedback. Electrical stimulation of frontal areas selectively enhanced responses to sounds in auditory cortex. These results reveal unique changes in information flow across sensory and frontal cortices, potentially driven by the purpose of the vocalization in a highly vocal mammalian model.
Myocardial injury as induced by myocardial infarction results in tissue ischemia, which critically incepts cardiomyocyte death. Endothelial cells play a crucial role in restoring oxygen and nutrient supply to the heart. Latest advances in single-cell multi-omics, together with genetic lineage tracing, reveal a transcriptional and phenotypical adaptation to the injured microenvironment, which includes alterations in metabolic, mesenchymal, hematopoietic and pro-inflammatory signatures. The extent of transition in mesenchymal or hematopoietic cell lineages is still debated, but it is clear that several of the adaptive phenotypical changes are transient and endothelial cells revert back to a naïve cell state after resolution of injury responses. This resilience of endothelial cells to acute stress responses is important for preventing chronic dysfunction. Here, we summarize how endothelial cells adjust to injury and how this dynamic response contributes to repair and regeneration. We will highlight intrinsic and microenvironmental factors that contribute to endothelial cell resilience and may be targetable to maintain a functionally active, healthy microcirculation.
Heart development is a dynamic process modulated by various extracellular and intracellular cues. Cardiac progenitors in vertebrates such as the zebrafish, migrate over to the midline after differentiation from the epiblast (Bakkers, 2011; Rosenthal & Harvey, 2010; Stainier et al., 1996; Trinh & Stainier, 2004). These progenitors form a cardiac disc at the midline which elongates into the linear heart tube. The differentiation and migration of cardiac precursors is modulated by signaling interactions between cardiac precursor cells and their extracellular environment known as the Extracellular Matrix (ECM). Studies have shown that Cell-ECM interactions play a crucial role in sculpting the heart during early morphogenic events (Davis CL, 1924; Männer & Yelbuz, 2019; Rosenthal & Harvey, 2010). One key factor to these processes is the presence of a specialized ECM known as the Basement Membrane (BM). Extracellular basement membrane proteins such as Fibronectin have been shown to modulate these very early migration processes of the cardiomyocyte progenitors (Trinh & Stainier, 2004). As the heart develops further, the linear heart tube is composed of myocardial cells with an inner endothelial cell lining separated by a layer of thick jelly like substance called the cardiac jelly (Barry A, 1948; Davis CL, 1924; Little et al., 1989). The cardiac jelly also called the cardiac basement membrane, has been shown to regulate distinct developmental events during cardiogenesis. This early CJ contains components of the basal lamina such as laminins, fibronectin, hyaluronan as well as non-fibrillar collagens such as Collagen IV (Little et al., 1989). In this study, I aimed to identify ECM molecules of the Basement Membrane in the heart and identify their role in the modulation of cardiac development and regeneration using the zebrafish as my model organism.
I identified genes belonging to the Zebrafish Matrisome expressed during cardiac developmental and regeneration and performed CRISPR/Cas9 sgRNA mediated mutagenesis. I also developed overexpression tools for these genes.
Agrinp168 mutants exhibited no obvious gross morphology defects during cardiac development and were adult viable. Adult mutants exhibited reduced cardiomyocyte proliferation, but no significant difference in cardiomyocyte dedifferentiation post cardiac cryoinjury.
Decorin overexpression through mRNA injections led to increased myocardial wall thickness and DN dcn overexpression through mRNA injections led to loss of cardiac looping during early development.
Mutants for Small Leucine Rich Proteoglycan (SLRP) prelp generated using CRISPR/Cas9 mutagenesis exhibited cardiovascular defects. Close observation of prelp mutant hearts revealed a reduced heart rate and impaired fractional shortening of the ventricle. prelp mutants exhibited an enlarged atrium at 48 hpf and 72 hpf as well as a reduced ventricle size at 72 hpf. Chamber size in the mutant hearts were enlarged irrespective of contractility of the heart. Mutants showed an increased number of Atrial cardiomyocytes, but no change in cell size. On the molecular level, extracellular Laminin localization was disrupted in prelp mutants along with an increase in thickness and volume of the cardiac HA in the CJ suggesting a potential compensatory role, or retention of immaturity of the cardiac jelly in the prelp mutants. Transcriptomics analysis on the prelp mutant hearts revealed downregulation of ECM organization and ECM-Receptor interaction processes in the mutants. Gene Ontology analysis on prelp mutants hearts transcriptome revealed increased MAPK signaling. Interestingly, genes related to degradation of cardiac HA and maturation of cardiac jelly were downregulated, and genes related to epithelial identity of cardiomyocytes were upregulated. Analysis of the mutant hearts at single cell resolution revealed increased number of mutants exhibiting rounded up cardiomyocytes and loss of apical Podocalyxin. Truncated forms of prelp were generated to identify domain specific roles for Prelp, and reintroduction of N-terminal truncated Prelp into the mutants rescued the basal lamina localization and cardiac jelly volume phenotypes. Myocardium specific re-establishment of prelp expression revealed a marked rescue of the mutant cardiovascular phenotype suggesting that tissue specific expression of prelp is not required so long as Prelp is secreted into the CJ. With these data, I’ve elucidated the role of ECM SLRPs in modulation of cardiac chamber morphogenesis process and regeneration of the heart.
The mammalian frontal and auditory cortices are important for vocal behaviour. Here, using local field potential recordings, we demonstrate for the first time that the timing and spatial pattern of oscillations in the fronto-auditory cortical network of vocalizing bats (Carollia perspicillata) predict the purpose of vocalization: echolocation or communication. Transfer entropy analyses revealed predominantly top-down (frontal-to-auditory cortex) information flow during spontaneous activity and pre-vocal periods. The dynamics of information flow depended on the behavioural role of the vocalization and on the timing relative to vocal onset. Remarkably, we observed the emergence of predominantly bottom-up (auditory-to-frontal cortex) information transfer patterns specific echolocation production, leading to self-directed acoustic feedback. Electrical stimulation of frontal areas selectively enhanced responses to echolocation sounds in auditory cortex. These results reveal unique changes in information flow across sensory and frontal cortices, potentially driven by the purpose of the vocalization in a highly vocal mammalian model.
The brains of black 6 mice (Mus musculus) and Seba’s short-tailed bats (Carollia perspicillata) weigh roughly the same and share the mammalian neocortical laminar architecture. Bats have highly developed sonar calls and social communication and are an excellent neuroethological animal model for auditory research. Mice are olfactory and somatosensory specialists and are used frequently in auditory neuroscience, particularly for their advantage of standardization and genetic tools. Investigating their potentially different general auditory processing principles would advance our understanding of how the ecological needs of a species shape the development and function of the mammalian nervous system. We compared two existing datasets, recorded with linear multichannel electrodes down the depth of the primary auditory cortex (A1) while awake, across both species while presenting repetitive stimulus trains with different frequencies (∼5 and ∼40 Hz). We found that while there are similarities between cortical response profiles in bats and mice, there was a better signal to noise ratio in bats under these conditions, which allowed for a clearer following response to stimuli trains. This was most evident at higher frequency trains, where bats had stronger response amplitude suppression to consecutive stimuli. Phase coherence was far stronger in bats during stimulus response, indicating less phase variability in bats across individual trials. These results show that although both species share cortical laminar organization, there are structural differences in relative depth of layers. Better signal to noise ratio in bats could represent specialization for faster temporal processing shaped by their individual ecological niches.
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.