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Camellia sinensis is one of the major crops grown in Taiwan and has been widely cultivated around the island. Tea leaves are prone to various fungal infections, and leaf spot is considered one of the major diseases in Taiwan tea fields. As part of a survey on fungal species causing leaf spots on tea leaves in Taiwan, 19 fungal strains morphologically similar to the genus Diaporthe were collected. ITS (internal transcribed spacer), tef1-α (translation elongation factor 1-α), tub2 (beta-tubulin), and cal (calmodulin) gene regions were used to construct phylogenetic trees and determine the evolutionary relationships among the collected strains. In total, six Diaporthe species, including one new species, Diaporthe hsinchuensis, were identified as linked with leaf spot of C. sinensis in Taiwan based on both phenotypic characters and phylogeny. These species were further characterized in terms of their pathogenicity, temperature, and pH requirements under laboratory conditions. Diaporthe tulliensis, D. passiflorae, and D. perseae were isolated from C. sinensis for the first time. Furthermore, pathogenicity tests revealed that, with wound inoculation, only D. hongkongensis was pathogenic on tea leaves. This investigation delivers the first assessment of Diaporthe taxa related to leaf spots on tea in Taiwan.
Attitude polarization describes an increasing attitude difference between groups and is increasingly recognized as a multidimensional phenomenon. However, a unified framework to study polarization across multiple dimensions is lacking. We introduce the attitudinal space framework (ASF) to fully quantify attitudinal diversity. We highlight two key measures—attitudinal extremization and attitudinal dispersion—to quantify across- and within-group attitudinal patterns. First, we show that affective polarization in the US electorate is weaker than previously thought based on mean differences alone: in both Democrat and Republican partisans, attitudinal dispersion increased between 1988 and 2008. Second, we examined attitudes toward wolves in Germany. Despite attitude differences between regions with and without wolves, we did not find differences in attitudinal extremization or dispersion, suggesting only weak attitude polarization. These results illustrate how the ASF is applicable to a wide range of social systems and offers an important avenue to understanding societal transformations.
Across the entire animal kingdom, sociality, i.e. the tendency of individual animals to form a group with conspecifics, is a common trait. Environmental changes have to be met with corresponding, quick adaptations. For social species, the presence of conspecifics is important for survival and if social animals are deprived of access to conspecifics, this can lead to strong and lasting changes on a physiological level as well as behaviour. Gene expression changes responsible for these adaptations have so far not been understood in detail. As social isolation leads to changes on a neuronal level, it is important to investigate the gene expression changes that are induced in the brain. In this thesis, next-generation RNA-sequencing was applied to zebrafish, a well-established model organism characterized by its high degree of companionship. Within the entire brain, gene expression was analysed in zebrafish that were raised either with conspecifis or in isolation, ranging from 5 to 21 days post fertilization. Using this approach, several genes were identified that were downregulated by social isolation. In this thesis, I focused on one of these consistently downregulated genes, parathyroid hormone 2 (pth2). The expression of pth2 was demonstrated to be bidirectionally regulated by the number of conspecifics present and to be responsive to changes in the social environment within 30 minutes. Regulation of pth2 does not occur by visual or chemosensory access to conspecifcs, but is mediated by mechanosensory perception of other fish via the lateral line. In an experiment using an artificial mechanical stimulation paradigm, it was shown that the features necessary to elicit pth2 transcription closely mimick the locomotion of actual zebrafish. Other, similar stimulation paradigms are not capable to induce this transcriptional response.
Glucokinase (GK) is a key enzyme of glucose metabolism in liver and pancreatic beta-cells, and small molecule activators of GK (GKAs) are under evaluation for the treatment of type 2 diabetes. In liver, GK activity is controlled by the GK regulatory protein (GKRP), which forms an inhibitory complex with the enzyme. Here, we performed isothermal titration calorimetry and surface plasmon resonance experiments to characterize GK-GKRP binding and to study the influence that physiological and pharmacological effectors of GK have on the protein-protein interaction. In the presence of fructose-6-phosphate, GK-GKRP complex formation displayed a strong entropic driving force opposed by a large positive enthalpy; a negative change in heat capacity was observed (Kd = 45 nm, DeltaH = 15.6 kcal/mol, TDeltaS = 25.7 kcal/mol, DeltaCp = -354 cal mol(-1) K(-1)). With k(off) = 1.3 x 10(-2) s(-1), the complex dissociated quickly. The thermodynamic profile suggested a largely hydrophobic interaction. In addition, effects of pH and buffer demonstrated the coupled uptake of one proton and indicated an ionic contribution to binding. Glucose decreased the binding affinity between GK and GKRP. This decrease was potentiated by an ATP analogue. Prototypical GKAs of the amino-heteroaryl-amide type bound to GK in a glucose-dependent manner and impaired the association of GK with GKRP. This mechanism might contribute to the antidiabetic effects of GKAs.
Interleukin-11 signaling is a global molecular switch between regeneration and scarring in zebrafish
(2022)
The two diametrically opposing outcomes after tissue damage are regeneration and fibrotic scarring. After injury, adult mammals predominantly induce fibrotic scarring, which most often leads to patient lethality. Fibrotic scarring is the deposition of excessive extracellular matrix that matures and hinders tissue function. The scarring response is mainly orchestrated by myofibroblasts, which arise only upon tissue damage, from various cellular origins, including tissue resident fibroblasts, endothelial cells and circulating blood cells. On the contrary, species like zebrafish, possess the remarkable capacity to regenerate their damaged tissues. After injury, instead of inducing a myofibroblast-mediated fibrogenic gene program, cells in these species undergo regenerative reprogramming at the transcriptional level to activate vital cellular processes needed for regeneration, including proliferation, dedifferentiation, and migration. Several pro-regenerative mechanisms have been identified to date. Most of them, if not all, are also important for tissue homeostasis and hence, are not injury specific. Therefore, the central aim of this study is to identify injury-specific mechanisms that not only induce regeneration, but also limit fibrotic scarring.
To test the notion that fibrotic scarring limits regeneration, I first compared the scarring response in the regenerative zebrafish heart after cryoinjury with what is known in the non-regenerative adult mouse heart. I found that zebrafish display ~10-fold less myofibroblast differentiation compared to adult mouse after cardiac injury. With these findings, I hypothesized that zebrafish employ mechanisms to actively suppress scarring response. Using a novel comparative transcriptomic approach coupled with genetic loss-of-function analyses, I identified that Interleukin-6 (Il-6) cytokine family-mediated Stat3 is one such pro-regenerative pathway in zebrafish.
Il-6 cytokine family consists of Il-6, Interleukin-11 (Il-11), Ciliary neurotrophic factor, Leukemia inhibitory factor, Oncostatin M, and Cardiotrophin-like cytokine factor 1. Il-6 family ligands signal through their specific receptors and a common receptor subunit (Il6st or Gp130). Using gene expression analyses after adult heart and adult caudal fin injuries in zebrafish, I identified that both the Il-11 cytokine encoding paralogous genes (il11a and il11b) are the highest expressed and induced among the Il-6 family cytokines. Hence, I chose Il-11 signaling as a candidate pathway for further analysis. To investigate the role of Il-11 signaling, I generated genetic loss-of-function mutants for both the ligand (il11a and il11b) and the receptor (il11ra) encoding genes. Using various tissue regeneration models across developmental stages in these mutants, I identified that Il-11/Stat3 signaling is indispensable for global tissue regeneration in zebrafish.
To investigate the cellular and molecular mechanisms by which Il-11 signaling promotes regeneration, I performed transcriptomics comparing the non-regenerative il11ra mutant hearts and fins with that of the wild types, respectively. I identified that Il-11 signaling orchestrates both global and tissue-specific aspects of regenerative reprogramming at the transcriptional level. In addition, I also found that impaired regenerative reprogramming in the il11ra mutant hearts and fins resulted in defective cardiomyocyte and osteoblast repopulation of the injured area, respectively.
On the other hand, by deep phenotyping the scarring response in il11ra mutant hearts and fins, I identified that Il-11 signaling limits myofibroblast differentiation. Furthermore, I found that cardiac endothelial cells and fibroblasts are one of the major responders to injury-induced Il-11 signaling. Using lineage tracing, I found that both the endothelial and fibroblast lineages in the non-regenerative il11ra mutants commit to a myofibroblast fate, spearheading the scarring response. In addition, using cell type specific manipulations, I showed that Il-11 signaling in cardiac endothelial cells allows cardiomyocyte repopulation of the injured area. Finally, using human endothelial cells in culture, I uncovered a novel feedback mechanism by which Il-11 signaling limits fibrogenic gene expression by inhibiting its parent activator and a master regulator of tissue fibrosis, TGF-β signaling.
Overall, I identified Interleukin-11/Stat3 signaling as the first global regulator of regeneration in zebrafish. Briefly, I showed that Interleukin-11 signaling promotes regeneration by regulating two crucial cellular aspects in response to injury – (1) it promotes regenerative reprogramming, thereby allowing cell repopulation of the injured area and (2) it limits mammalian-like fibrotic scarring by inhibiting myofibroblast differentiation and TGF-β signaling. Altogether, these zebrafish data, together with the contradicting mammalian data strongly indicate that the secrets of tissue regeneration lie downstream of IL-11 signaling, in the differences between regenerative and non-regenerative species. Furthermore, I establish the non-regenerative il11ra mutant as an invaluable zebrafish model to study mammalian tissue fibrosis.
Microplastics (MPs) are ubiquitous and persistent pollutants, and have been detected in a wide variety of media, from soils to aquatic systems. MPs, consisting primarily of polyethylene, polypropylene, and polyacrylamide polymers, have recently been found in 12% of samples of honey collected in Ecuador. Recently, MPs have also been identified in honey bees collected from apiaries in Copenhagen, Denmark, as well as nearby semiurban and rural areas. Given these documented exposures, assessment of their effects is critical for understanding the risks of MP exposure to honey bees. Exposure to polystyrene (PS)-MPs decreased diversity of the honey bee gut microbiota, followed by changes in gene expression related to oxidative damage, detoxification, and immunity. As a result, the aim of this perspective was to investigate whether wide-spread prevalence of MPs might have unintended negative effects on health and fitness of honey bees, as well as to draw the scientific community’s attention to the possible risks of MPs to the fitness of honey bees. Several research questions must be answered before MPs can be considered a potential threat to bees.
Seed dispersal is a key ecosystem function for plant regeneration, as it involves the movement of seeds away from the parental plants to particular habitats where they can germinate and transition to seedlings and ultimately adult plants. Seed dispersal is shaped by a diversity of abiotic and biotic factors, particularly by associations between plants and climate and between plants and other species. Due to the ongoing loss of biodiversity and changing global conditions, such interactions are prone to change and pose a severe threat to plant regeneration. One way to address this challenge is to study associations between plant traits and abiotic and biotic factors to understand the potential impacts of global change on plant regeneration. Plant communities have long been analyzed through the lens of vegetative traits, mainly ignoring how other traits interact and respond to the environment. For instance, while associations between vegetative traits (e.g., specific leaf area, leaf nitrogen content) and climate are well studied, there are few case studies of reproductive traits in relation to trait-environment associations in the context of global change.
Thus, the overarching aim of this dissertation is to explore how trait-environment associations, with a special focus on reproductive traits, can improve our understanding of the effect that global change may have on seed dispersal, and ultimately on plant regeneration. To this end, my research focuses on studying associations between plant traits and abiotic and biotic factors along an elevational gradient in both forests and deforested areas of tropical mountains. This dissertation addresses three principal research objectives.
First, I investigate the extent to which reproductive (seed and fruit traits) and vegetative traits (leaf traits) are related to abiotic and biotic factors for communities of fleshy-fruited plants in the Ecuadorian Andes. I used multivariate analyses to test associations between four (a)biotic factors and seven reproductive traits and five vegetative traits measured on 18 and 33 fleshy fruited plant species respectively. My analyses demonstrate that climate and soil conditions are strongly associated with the distribution of both reproductive and vegetative traits in tropical tree communities. The production of “costly” vs. “cheap” seeds, fruits and leaves, i.e., the production of few rewarding fruits and acquisitive leaves versus the production of many less-rewarding fruits and conservative leaves, is primarily limited by temperature, whereas the size of plant organs is more related to variation in precipitation and soil conditions. My findings suggest that associations between reproductive and vegetative traits and the abiotic environment follow similar principles in tropical tree communities.
Second, I assess how climate and microhabitat conditions affect the prevalence of endozoochorous plant species in the seed rain of tropical montane forests in southern Ecuador. I analyzed seed rain data for an entire year from 162 traps located across an elevational gradient spanning of 2000 m. I documented the microhabitat conditions (leaf area index and soil moisture next to each seed trap) at small spatial scale as well as the climatic conditions (mean annual temperature and rainfall in each plot) at large spatial scale. After a one-year of sampling, I counted 331,838 seeds of 323 species/morphospecies. My analyses demonstrate that the prevalence of endozoochorous plant species in the seed rain increases with temperature across elevations and with leaf area index within elevations. These results show that the prevalence of endozoochory is shaped by the interplay of both abiotic and biotic factors at large and small spatial scales.
Third, I examine the potential of seed rain to restore deforested tropical areas along an elevational gradient in southern Ecuador. For this chapter, I collected seed rain using 324 seed traps installed in 18 1-ha plots in forests (nine forest plots) and in pastures (nine deforested plots) along an elevational gradient of 2000 m. After a sampling period of three months, I collected a total of 123,039 seeds of 255 species/morphospecies from both forests and pastures along the elevational gradient. I did not find a consistent decrease in the amount and richness of seed rain between forests and pastures, but I detected a systematic change in the type of dispersed seeds, as heavier seeds and a higher proportion of endozoochorous species were found in forests compared to pastures at all elevations. This finding suggests that deforestation acts as a strong filter selecting seed traits that are vital for plant regeneration.
Understanding the role that trait-environment associations play in how plant communities regenerate today could serve as a basis for predicting changes in regeneration processes of plant communities under changing global conditions in the near future. Here, I show how informative the measurement of reproductive traits and trait environment associations are in facilitating the conservation of forest habitats and the restoration of deforested areas in the context of global change.
In the published article, there was an error regarding the affiliation for Diana Abondano Almeida. As well as having affiliation 2, they should also have Department of Wildlife-/Zoo-Animal-Biology and Systematics, Faculty of Biological Sciences, Goethe Universität, Frankfurt, Germany.
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Bacterial biosynthetic assembly lines, such as non-ribosomal peptide synthetases (NRPS) and polyketide synthases, are often subject of synthetic biology – because they produce a variety of natural products invaluable for modern pharmacotherapy. Acquiring the ability to engineer these biosynthetic assembly lines allows the production of artificial non-ribosomal peptides (NRP), polyketides, and hybrids thereof with new or improved properties. However, traditional bioengineering approaches have suffered for decades from their very limited applicability and, unlike combinatorial chemistry, are stigmatized as inefficient because they cannot be linked to the high-throughput screening platforms of the pharmaceutical industry. Although combinatorial chemistry can generate new molecules cheaper, faster, and in greater numbers than traditional natural product discovery and bioengineering approaches, it does not meet current medical needs because it covers only a limited biologically relevant chemical space. Hence, methods for high-throughput generation of new natural product-like compound libraries could provide a new avenue towards the identification of new lead compounds. To this end, prior to this work, we introduced an artificial synthetic NRPS type, referred to as type S NRPS, to provide a first-of-its-kind bicombinatorial approach to parallelized high-throughput NRP library generation. However, a bottleneck of these first two generations of type S NRPS was a significant drop in production yields. To address this issue, we applied an iterative optimization process that enabled titer increases of up to 55-fold compared to the non-optimized equivalents, restoring them to wild-type levels and beyond.
Clean water is fundamental to human health and ecosystem integrity. However, water quality deteriorates due to novel anthropogenic pollutants present at microgram per liter concentrations in urban water cycles (termed micropollutants). Wastewater treatment plants (WWTP) have been identified as major point sources for aquatic (micro-)pollutants. Chemical and ecotoxicological analyses have shown that conventional biological WWTPs do not fully remove micropollutants and associated toxicities, which is often because of mobile, polar and/or recalcitrant compounds and transformation products (TPs). To minimize possible environmental risks, advanced wastewater treatment (AWWT) technologies could be a promising mitigation measure. Multiple processes are therefore being developed and evaluated such as ozonation and ozonation followed by granulated activated carbon (GAC) or biological filtration. Assessing the performance of these combined AWWTs was the focus the TransRisk project. Within this project, this thesis accomplished four major goals.
Firstly, the preparation of (waste)water samples was optimised for in vitro bioassays. Acidification, filtration and solid phase extraction (SPE) were tested for their impact on environmentally relevant in vitro endocrine activities, mutagenicity, genotoxicity and cytotoxicity. Significantly different outcomes of these assays were detected comparing neutral and acidified samples. Sample filtration had a lesser impact, but in some cases retention of particle-bound compounds could have caused significant toxicity losses. Out of three SPE sorbents the Telos C18/ENV at sample pH 2.5 extracted highest toxicity, some undetected in aqueous samples. These results indicate that sample preparation needs to be optimised for specific sample matrices and bioassays to avoid false-positive or -negative detects in effect-based analyses.
Secondly, the above listed in vitro toxicities were monitored in a protected region for drinking water production in South-West Germany (2012-2015). Out of 30 sampling sites surface water and groundwater were the least polluted. Nonetheless, a few groundwater samples induced high anti-estrogenic activity that prompted further monitoring. The latter included a waterworks in which no toxicity was detected. Hospital wastewater also had elevated in vitro toxicities and hospitals are, thus, relevant intervention points for source control. The biological WWTPs were effective in removing most of the detected toxicity, and the selected bioassays proved to be pertinent tools for water quality assessment and prioritisation of pollution hotspots.
Thirdly, the in vivo bioassay ISO10872 based on Caenorhabditis elegans (C. elegans) was adapted for this thesis. Using this model, a median effect concentration (EC50) for reproductive toxicity of the polycyclic aromatic hydrocarbon β-naphthoflavone (β- NF) of 114 µg/L was computed which is slightly lower than reported in the scientific literature. β-NF induced cyp-35A3::GFP (a biomarker in transgenic animals) in a time and concentration dependent manner (≤ 21.3–24 fold above controls). β-NF spiked wastewater samples supported earlier hypotheses on particle-bound pollutants. Reproductive toxicity (96 h) and cyp-35A3 induction (24 h) of biologically treated and/or ozonated wastewater extracts and growth promoting effects of GAC/biologically filtered ozonated wastewater extracts were observed. This suggested the presence of residual bioactive/toxic chemicals not included in the targeted chemical analysis. It also highlighted the importance of integrating multiple (apical and molecular) endpoints in wastewater assessments.
Fourthly, five in vitro and the adapted C. elegans bioassay were integrated into a wastewater quality evaluation (developed within TransRisk). Out of the five AWWT options, ozonation (at 1 g O3,applied/g DOC, HRT ~ 18 min) combined with nonaerated GAC filtration was rated most effective for toxicity removal. All five AWWTs largely removed estrogenic and (anti-)androgenic activities, but not anti-estrogenic activity and mutagenicity, which even increased during ozonation. This has been observed in related studies and points towards toxic TPs. These results also emphasized the need for implementing an effective post-treatment for ozonation. The results from a parallel in vivo study with Lumbriculus variegatus and Potamopyrgus antipodarum conducted on site at the WWTP (using flow through systems) were in accordance with the C. elegans results. In this context, it is suggested to further implement C. elegans as sensitive, feasible and ecologically relevant model.
In conclusion, this thesis shows how optimised sample preparation, long-term (in vitro) environmental monitoring, sensitive and ecologically relevant (in vivo) bioassays as well as innovative evaluation concepts, are pivotal in improving the removal of micropollutants and their toxicities with AWWTs. Future research should further develop and evaluate measures at sewer systems, conventional biological, tertiary and other advanced treatment technologies, as well as sociopolitical strategies (e.g., source control or natural conservation) and restoration projects. The effect-based tools optimised in this thesis will support assessing their success.