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The negative effect of fossil-based industrial processes on the environment, especially the contribution to global warming by emitting greenhouse gases such as CO2 causes a global threat to mankind. Therefore, technologies are demanded by the society for a sustainable and environmentally friendly economy. The biotechnological use of sugar-based feedstocks to produce valuable products are in conflict with, for example, food production. In order to overcome this issue, waste products such as syngas (H2, CO and CO2) or CO2 taken from the atmosphere are of increasing interest for biotechnological applications. Acetogenic bacteria are already used at industrial scale to produce sustainable and environmentally friendly biofuels from syngas. A promising candidate due to its physiological flexibility is the thermophilic acetogen Moorella thermoacetica. In contrast to most acetogens M. thermoacetica is not restricted to one energy conserving system. In addition to the Ech complex, cytochromes and quinones may be involved in energy conservation by, for example, DMSO respiration. The extra energy conserved can be used to form highly valuable but energy demanding products. In this review we give insights into the physiology of this acetogen, the current state of the art of M. thermoacetica as a platform for biotechnological applications and discuss future perspectives.
Highlights
• The higher the extinction risk, the fewer exposure-effect data are available.
• Lack of studies in the Southern Hemisphere shows a spatial bias in the literature.
• Commonly studied pollutants are persistent organic pollutants, metals, pesticides.
• Pollution-effect studies focus on molecular and cellular levels.
• In silico and in vitro approaches aid in assessing in vivo effects.
Abstract
Marine mammals, due to their long life span, key position in the food web, and large lipid deposits, often face significant health risks from accumulating contaminants. This systematic review examines published literature on pollutant-induced adverse health effects in the International Union for Conservation of Nature (IUCN) red-listed marine mammal species. Thereby, identifying gaps in literature across different extinction risk categories, spatial distribution and climatic zones of studied habitats, commonly used methodologies, researched pollutants, and mechanisms from cellular to population levels. Our findings reveal a lower availability of exposure-effect data for higher extinction risk species (critically endangered 16%, endangered 15%, vulnerable 66%), highlighting the need for more research. For many threatened species in the Southern Hemisphere pollutant-effect relationships are not established. Non-destructively sampled tissues, like blood or skin, are commonly measured for exposure assessment. The most studied pollutants are POPs (31%), metals (30%), and pesticides (17%). Research on mixture toxicity is scarce while pollution-effect studies primarily focus on molecular and cellular levels. Bridging the gap between molecular data and higher-level effects is crucial, with computational approaches offering a high potential through in vitro to in vivo extrapolation using (toxico-)kinetic modelling. This could aid in population-level risk assessment for threatened marine mammals.
In natural environments, background noise can degrade the integrity of acoustic signals, posing a problem for animals that rely on their vocalizations for communication and navigation. A simple behavioral strategy to combat acoustic interference would be to restrict call emissions to periods of low-amplitude or no noise. Using audio playback and computational tools for the automated detection of over 2.5 million vocalizations from groups of freely vocalizing bats, we show that bats (Carollia perspicillata) can dynamically adapt the timing of their calls to avoid acoustic jamming in both predictably and unpredictably patterned noise. This study demonstrates that bats spontaneously seek out temporal windows of opportunity for vocalizing in acoustically crowded environments, providing a mechanism for efficient echolocation and communication in cluttered acoustic landscapes.
One Sentence Summary Bats avoid acoustic interference by rapidly adjusting the timing of vocalizations to the temporal pattern of varying noise.
In order to effectively address global environmental problems, it is important that future decision-makers in society are aware of the safe operation space for humans, which is limited by the planetary boundaries. Until now, however, there has been a lack of international studies examining how the planet's boundaries are perceived. In this study, we investigated how students of environmental and sustainability studies in 35 countries (n = 4140) assess the planetary boundaries. Based on the rating, using spectral clustering, the 35 countries were assigned to five different clusters. Four indicators (Human Development Index, Legatum Prosperity Index, Natural Resources Income and Forest Area) were used to provide explanations for the clustering result. The indices allow a distinction between the clusters and provide initial explanations for the clustering. The results provide important insights for today's decision-makers, as possible measures for action in the individual countries can be derived from the findings.
The epitranscriptome embodies many new and largely unexplored functions of RNA. A major roadblock in the epitranscriptomics field is the lack of transcriptome-wide methods to detect more than a single RNA modification type at a time, identify RNA modifications in individual molecules, and estimate modification stoichiometry accurately. We address these issues with CHEUI (CH3 (methylation) Estimation Using Ionic current), a new method that concurrently detects N6-methyladenosine (m6A) and 5-methylcytidine (m5C) in individual RNA molecules from the same sample, as well as differential methylation between any two conditions. CHEUI processes observed and expected nanopore direct RNA sequencing signals with convolutional neural networks to achieve high single-molecule accuracy and outperforms other methods in detecting m6A and m5C sites and quantifying their stoichiometry. CHEUI’s unique capability to identify two modification types in the same sample reveals a non-random co-occurrence of m6A and m5C in mRNA transcripts in cell lines and tissues. CHEUI unlocks an unprecedented potential to study RNA modification configurations and discover new epitranscriptome functions.
Anthropogenic interventions have altered all ecosystems around the world. One of those ecosystems are forests, the main resource for timber. They have been strongly transformed in their structure with large consequences on forest biodiversity. Especially the decrease in dead-wood volume due to the timber extraction and alternation of natural forest structures with even-aged stands of less diverse tree species composition has put especially saproxylic, i.e., dead-wood dependent species, under threat, which comprise about 20% of all forest species. Beetles, fungi and bacteria are three functional important groups for decomposition processes but we still lack much information about their sampling and the drivers of their diversity, thus it is difficult to comprehensively protect their diversity. Saproxylic fungi are a highly diverse species group and the main drivers of dead-wood decomposition; hence they play a major role in the global carbon cycle. Due to their cryptic lifestyle, many species are still unknown, but the recent advances in environmental DNA barcoding methods (metabarcoding) shed light on the formerly underestimated diversity. Yet, this method's accuracy and suitability in detecting specific species have not been assessed so far, limiting its current usefulness for species conservation. On the other hand, these methods are a convenient tool to study highly diverse areas with high numbers of unknown species, enabling the study of global diversity and its drivers, which are unknown for saproxylic fungi, but important to assess to predict the future impacts of global change. Since nature conservation concepts are usually not applied on a global scale, the drivers of diversity must also be assessed on smaller scales. Besides understanding the drivers of diversity, to identify focus scales to create comprehensive, evidence-based conservation concepts must utilize multi-taxonomic studies since saproxylic species are differently sensitive towards environmental variables and closely interact with each other. Filling these knowledge gaps is utterly needed to protect the high saproxylic diversity and ensure the functional continuity of decomposition processes, especially regarding the global change.
To address the usefulness of metabarcoding for fungal species conservation, I compared the traditional method of fruit body sampling with metabarcoding and their efficiency in detecting threatened fungal species in the first chapter of this thesis. Both methods have advantages and disadvantages. Their ability to detect threatened saproxylic fungal species and their dependencies on detecting specific fungal groups have not been compared, albeit they are important to inform species conservation like Red Lists properly. I found metabarcoding to generally detect more threatened fungal species than fruit body sampling with a higher frequency than fruit body sampling. Moreover, fruit body sampling detected a unique set of species, while fruit body sampling missed large parts of fungal diversity due to species-specific fruiting characteristics. Metabarcoding with high sampling intensity is thus a viable method to assess threatened saproxylic fungal diversity and inform nature conservation like Red Lists about distribution and abundances. Nevertheless, a complementary approach with fruit body sampling is indispensable for assessing all threatened fungal species.
In order to analyse the global diversity of saproxylic fungi and its drivers, I examined whether fungal species richness increases from the poles towards the equator and thus follows the latitudinal diversity gradient already found in many other species groups. I further investigated whether such an increase is caused by increasing ecological specialisation, i.e., niche partitioning, or local tree diversity, i.e., niche space. Gamma diversity per biome increased from the boreal, over the temperate to the tropics and thus confirmed the latitudinal diversity for saproxylic fungi. Contrastingly, alpha diversity at the log level did not significantly increase towards the tropics, suggesting a grain size dependency of the observed pattern and an equal niche space within dead-wood across latitudes. Ecological specialisation on the plot level was globally on a high level but did not increase significantly towards the equator. Additionally, I found local tree species richness to drive plot-based fungal diversity. Further analysis of gamma diversity against the total number of sampled tree species strengthened the assumption that tree species diversity and not increased ecological specialisation was the main driver of the latitudinal diversity gradient, as there was no significant difference between the gamma diversity of the temperate and tropical biome. Nonetheless, as the gamma diversity of the boreal biome was still significantly smaller, my results do not allow a complete neglection of the ecological specialisation hypothesis. The overall results indicate a strong dependency of saproxylic fungi diversity with host tree species diversity and that the global loss of tree species threatens saproxylic fungi with an unpredictable impact on carbon and nutrient cycling.
To support saproxylic conservation, I conducted two analyses. First, I compared the beta diversity of the three main decomposer groups (beetles, fungal fruit bodies, mycelial fungi (metabarcoding), and bacteria (metabarcoding)) across different scales to assess the impact of different environmental variables on their overall diversity. I used an experimental design to disentangle two different spatial scales, influenced by differences in macroclimate, forest microclimate and spatial distance, and two host scales, driven by differences between tree lineages and tree species. I set these beta diversities in relation to the gamma diversity of the three main decomposer groups to identify whether a unified conservation concept could be applied to one scale to optimally protect the diversity of all three species groups. Second, I identified whether diversity and community composition of fungi and bacteria differed among climate and land use gradients. Further I explored whether specialisation and niche packing could explain the expected pattern. To do so I used an experimental design disentangling climate and land use across a large gradient in Germany. The results differed among the species groups, denying a unified conservation concept focusing on one scale. Saproxylic beetle and fruit body beta diversity was equally high on each scale, as they are more sensitive towards environmental factors like macro- and microclimate. On the other hand, mycelial fungi and bacteria beta diversity was highest on the host scale, especially the host tree scale, indicating a high host specificity of the two groups. The second study also identified tree species as the main driver of diversity and community composition of these two study groups. Specialisation of fungi was not influenced by land use or climate. Bacterial specialisation and diversity were under a strong influence of mean precipitation. Comprehensive conservation of multi-taxonomic diversity across regions thus requires the integration of several scales. Within different macroclimatic regions, forests of varying microclimates, i.e., forest management, must be implemented. In these forests, dead-wood of different tree lineages, i.e., angio- and gymnosperms and tree species, must be provided.
Taken together, I could demonstrate that metabarcoding is an efficient method to sample threatened fungal species and identify differing drivers of fungal diversity present as fruit bodies or mycelium. Its usefulness will further increase due to the ongoing improvement of sequencing databases and thus better inform conservation concepts. Using metabarcoding, I could demonstrate that high host specialisation of saproxylic fungi is not a European but a global phenomenon and identify tree species loss under global change as one major concern for saproxylic diversity. My dissertation further highlighted the importance of multi-taxonomic studies for evidence-based nature conservation, as different species groups require varying concepts. These results were especially important for saproxylic bacteria as the drivers of their diversity are still largely unknown. Howbeit, large research gaps still exist regarding the impacts of global change on species and processes. Moreover, the spatial coverage of studies is needed to confirm or neglect the generality of current research especially concerning the highly diverse tropical areas. An increased focus on the drivers of diversity in these areas is crucial to ensure a globally comprehensive saproxylic conservation and the various ecosystem functions they control.
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.
Auf der Oberfläche von Erythrozyten, Thrombozyten und Neutrophilen befinden sich mehrere hundert verschiedene polymorphe, ungekoppelt vererbte Blutgruppenantigene. Dementsprechend birgt jede Bluttransfusion das Risiko einer Immunisierung gegen fremde Blutgruppenmerkmale. Auch während der Schwangerschaft können aufgrund väterlich vererbter Antigene Alloantikörper induziert werden. Deshalb muss das Blut vor jeder Transfusion oder während einer Schwangerschaft auf das Vorhandensein irregulärer erythrozytärer Antikörper untersucht werden. Dabei greifen die aktuellen diagnostischen Verfahren auf primäre, stabilisierte Testerythrozyten von Blutspendern zurück, deren relevante Blutgruppenantigene bekannt sind. Antikörperspezifitäten können anhand von Agglutinationsreaktionen der Testzellen mit dem zu untersuchenden Patientenplasma auf ein oder mehrere Antigene zurückgeführt werden. Ist jedoch ein Antikörper gegen ein häufiges, ein hochfrequentes oder ein nicht-polymorphes, ubiquitäres Antigen gerichtet, kann in Ermangelung Antigen-negativer Testzellen keine adäquate Diagnostik gewährleistet, die Verträglichkeit der Transfusion also nicht definitiv sichergestellt werden. Auch der medizinische Einsatz therapeutischer Antikörper, welche Antigene adressieren, die auch auf Erythrozyten exprimiert werden, führt zunehmend zu Problemen. Tests auf granulozytäre Antikörper sind mangelhaft bezüglich ihrer Robustheit, besitzen eine unzureichende Auflösung und sind zudem meist zeitaufwändig und daher teuer. Antikörper gegen humane Plättchenantigene spielen insbesondere in der Schwangerschaft eine Rolle; sie vermögen bei Neugeborenen thrombozytopenische Blutungen bis hin zu massiven Hirnblutungen zu verursachen, die zu schweren Entwicklungsstörungen führen können. Bisher erfolgt jedoch mangels geeigneter Reagenzien keine standardisierte pränatale Untersuchung auf thrombozytäre Antikörper. In dieser Arbeit wurde ein neuartiges Verfahren für die Identifikation und Differenzierung irregulärer Blutgruppenantikörper etabliert, welches auf gentechnisch hergestellten, xenogenen Testzellen basiert, die einzelne definierte humane Blutgruppenantigene auf ihrer Oberfläche präsentieren. Die nicht humanen Zellen co exprimieren Fluorochrome, anhand derer Antikörper-markierte Testzellen durchflusszytometrisch voneinander unterscheidbar sind. Weiterhin können die generierten Testzellen zur Depletion von Antikörpern aus polyagglutinierenden Plasmen unter Erhalt der anderen Antikörperspezifitäten verwendet werden. Diese Technologie könnte die konventionelle Diagnostik erheblich erleichtern und bietet zudem die Möglichkeit, therapeutische Antikörper (wie z. B. anti-CD38, anti CD47, etc.), die häufig zu Interferenzen mit der Routinediagnostik führen, spezifisch prädiagnostisch aus Patientenproben zu entfernen.
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...
Deviance detection describes an increase of neural response strength caused by a stimulus with a low probability of occurrence. This ubiquitous phenomenon has been reported for multiple species, from subthalamic areas to auditory cortex. While cortical deviance detection has been well characterised by a range of studies covering neural activity at population level (mismatch negativity, MMN) as well as at cellular level (stimulus-specific adaptation, SSA), subcortical deviance detection has been studied mainly on cellular level in the form of SSA. Here, we aim to bridge this gap by using noninvasively recorded auditory brainstem responses (ABRs) to investigate deviance detection at population level in the lower stations of the auditory system of a hearing specialist: the bat Carollia perspicillata. Our present approach uses behaviourally relevant vocalisation stimuli that are closer to the animals' natural soundscape than artificial stimuli used in previous studies that focussed on subcortical areas. We show that deviance detection in ABRs is significantly stronger for echolocation pulses than for social communication calls or artificial sounds, indicating that subthalamic deviance detection depends on the behavioural meaning of a stimulus. Additionally, complex physical sound features like frequency- and amplitude-modulation affected the strength of deviance detection in the ABR. In summary, our results suggest that at population level, the bat brain can detect different types of deviants already in the brainstem. This shows that subthalamic brain structures exhibit more advanced forms of deviance detection than previously known.
Prof. Karin Böhning-Gaese, seit 2010 Direktorin des Senckenberg Biodiversität und Klima Forschungszentrums in Frankfurt am Main und Professorin an der Goethe-Universität, wurde in den Rat für Nachhaltige Entwicklung berufen. Das 15-köpfige Gremium berät die Bundesregierung, erarbeitet Beiträge zur Fortentwicklung der Nachhaltigkeitsstrategie, veröffentlicht Stellungnahmen zu Einzelthemen und soll zur öffentlichen Bewusstseinsbildung und zur gesellschaftlichen Debatte über Nachhaltigkeit beitragen.
Totholzinseln für Frankfurt
(2023)
Ist das Lebensraum oder kann das weg? Aaron Kauffeldt und Tim Milz haben ihrem Biodiversitätsprojekt bewusst diesen etwas provokanten Namen verliehen. Sie wollen mehr Aufmerksamkeit für den Biodiversitätshotspot Totholz schaffen. Für ihre Idee, Totholzinseln im Frankfurter Stadtgebiet anzulegen, wurden sie kürzlich mit dem dritten Platz des Ideenwettbewerbs Biodiversität von Goethe-Universität, Palmengarten, der Senckenberg Gesellschaft für Naturforschung, dem Dezernat für Klima, Umwelt und Frauen der Stadt Frankfurt und der Frankfurter Sparkasse ausgezeichnet.
Die Genetik hat die Landwirtschaft erheblich vorangebracht, weil sich mit ihrer Hilfe wesentlich ertragreichere Arten züchten lassen. Dabei werden Pflanzen mit vorteilhaften Eigenschaften ausgewählt und mit solchen gekreuzt, die andere erstrebenswerte Merkmale aufweisen. Auf diese Weise erhält man hybride Pflanzensorten, die beispielsweise widerstandsfähiger gegenüber Schädlingen und Krankheiten sind und sich besser an unterschiedliche Umweltbedingungen anpassen können. Aber das reicht nicht mehr, selbst mit den leistungsfähigsten und ertragreichsten Zuchtpflanzen steht die Landwirtschaft vor großen Herausforderungen: Klimawandel, Wasserknappheit und schlechte Bodenqualität begrenzen die Höhe landwirtschaftlicher Erträge, gleichzeitig wächst mit der Weltbevölkerung natürlich auch der Bedarf an Nahrungsmitteln. Wesentliche Fortschritte in der Nahrungsmittelerzeugung sind allerdings zu erwarten, wenn bei der Entwicklung von Nahrung nicht nur genetische, sondern auch epigenetische Verfahren angewandt werden, um Nahrungspflanzen weiterzuentwickeln – Verfahren, die darauf beruhen, einzelne Gene gezielt an- und abzuschalten. Seit einigen Jahren forscht dazu an der Goethe-Universität der Molekularbiologe Dr. Sotirios Fragkostefanakis.
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.
The establishment and maintenance of protected areas (PAs) is viewed as a key action in delivering post-2020 biodiversity targets. PAs often need to meet multiple objectives, ranging from biodiversity protection to ecosystem service provision and climate change mitigation, but available land and conservation funding is limited. Therefore, optimizing resources by selecting the most beneficial PAs is vital. Here, we advocate for a flexible and transparent approach to selecting protected areas based on multiple objectives, and illustrate this with a decision support tool on a global scale. The tool allows weighting and prioritization of different conservation objectives according to user-specified preferences, as well as real-time comparison of the selected areas that result from such different priorities. We apply the tool across 1347 terrestrial PAs and highlight frequent trade-offs among different objectives, e.g., between species protection and ecosystem integrity. Outputs indicate that decision makers frequently face trade-offs among conflicting objectives. Nevertheless, we show that transparent decision-support tools can reveal synergies and trade-offs associated with PA selection, thereby helping to illuminate and resolve land-use conflicts embedded in divergent societal and political demands and values.