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Institute
Biotechnological processes offer better production conditions for a wide variety of goods of industrial interest. The production of aromatic compounds, for example, involves molecules of great value for cosmetic, plastic, agrochemical and pharmaceutic industries. However, the yield of such processes frequently prevents a proper implementtation that would allow the replacement of traditional production processes.
Numerous rational engineering approaches have been attempted to enhance metabolic pathways associated with desired products. Unfortunately, genetic modifications and heterologous pathway expression often lead to a higher metabolic burden on the producing organisms, ultimately leading to reduced production levels and fitness.
This project utilised adaptive laboratory evolution to better understand the development of synthetic cooperative consortia, using S. cerevisiae as a model organism. Specifically, a synthetic cooperative consortium was developed around the exchange of lysine and tyrosine, which was subjected to adaptive laboratory evolution aiming to induce mutations that would improve the system’s fitness either by enhanced production or upgraded stress resistance. Consequently, the mutant strains isolated after the evolution rounds were sequenced to identify relevant variations that could be related to the growth and production phenotypes observed.
The insights derived from this project are expected to contribute to further developing synthetic cooperative consortia with utilitarian purposes.
Earliella scabrosa is a pantropical species of Polyporales (Basidiomycota) and well-studied concerning its morphology and taxonomy. However, its pantropical intraspecific genetic diversity and population differentiation is unknown. We initiated this study to better understand the genetic variation within E. scabrosa and to test if cryptic species are present. Sequences of three DNA regions, the nuclear ribosomal internal transcribed spacer (ITS), the large subunit ribosomal DNA (LSU), and the translation elongation factor (EF1α) were analysed for 66 samples from 15 geographical locations. We found a high level of genetic diversity (haplotype diversity, Hd = 0.88) and low nucleotide diversity (π = 0.006) across the known geographical range of E. scabrosa based on ITS sequences. The analysis of molecular variance (AMOVA) indicates that the genetic variability is mainly found among geographical populations. The results of Mantel tests confirmed that the genetic distance among populations of E. scabrosa is positively correlated with the geographical distance, which indicates that geographical isolation is an important factor for the observed genetic differentiation. Based on phylogenetic analyses of combined dataset ITS-LSU-EF1α, the low intraspecific divergences (0–0.3%), and the Automated Barcode Gap Discovery (ABGD) analysis, E. scabrosa can be considered as a single species with five different geographical populations. Each population might be in the process of allopatric divergence and in the long-term they may evolve and become distinct species.
Hyperparasitic fungi on black mildews (Meliolales, Ascomycota) : hidden diversity in the tropics
(2023)
Meliolales (Sordariomycetes, Ascomycota) is a group of obligate plant parasitic microfungi mainly distributed in the tropics and subtropics. Meliolalean fungi are commonly known as “black mildews”, as they form black, superficial hyphae on the surface of vegetative and reproductive organs of vascular plants. They are considered biotrophic parasites, and the infections caused by black mildews can lead to a decrease in the photosynthetic activity of plants, as well as to an increase in the temperature and respiration rate of their leaves.
Meliolales are frequently parasitized by hyperparasitic fungi, i.e., parasitic fungi that have parasitic hosts. These hyperparasites are all Ascomycota and belong mainly to the Dothideomycetes and Sordariomycetes. Although hyperparasites represent a megadiverse group, species were only described by morphology until 1980, and the systematic position of more than 60 % of known species is still unclear. In addition, there are no DNA reference sequences available in public databases for any of the species of hyperparasites of Meliolales, and no ecological studies have been done up to now.
Before this study, no exact number of hyperparasitic fungi growing on colonies of black mildews existed. Here, we present a checklist including 189 species of fungi known to be hyperparasitic on Meliolales, but the number of existing species is likely to be even higher. The elaboration of this species checklist laid the foundations for this investigation, as it helped to understand the present state of knowledge of hyperparasitic fungi on Meliolales worldwide.
For the present study, fresh specimens of leaves infected with colonies of Meliolales and hyperparasites were opportunistically collected at 32 collection sites in Western Panama and Benin, West Africa, in 2020 and 2022, respectively. In total, 100 samples of plant specimens infected with black mildews were collected, of which 58 samples were parasitized by hyperparasitic fungi. 31 species and morphospecies of hyperparasitic fungi were identified. In addition, 35 historical specimens, including 12 type specimens, were examined for the present work.
DNA of hyperparasitic fungi was isolated directly from conidia, synnemata, apothecia, perithecia or pseudothecia of fresh and dried specimens. The main challenges faced by scientists in doing molecular studies of hyperparasitic fungi are related to the fact that the hyperparasitic fungi are intermingled with tissues of the meliolalean hosts and other organisms present in a given sample. This makes the isolation of DNA exclusively from the hyperparasite difficult. Moreover, hyperparasitic fungi on Meliolales are biotrophs and cannot be grown axenically. The hosts themselves are also biotrophic, further complicating DNA isolation from either partner. These factors have contributed to a lack of reference sequences in public databases. After more than 100 attempts, DNA of 20 specimens of hyperparasitic fungi, representing seven species, has been isolated in the context of the present investigation. Three partial nuclear gene regions were amplified and sequenced: nrLSU, nrSSU and nrITS. The datasets were assembled for phylogenetic analyses applying Maximum Likelihood (ML) and Bayesian inference (BI) methods. DNA sequences of hyperparasitic fungi on Meliolales were generated for the first time in the context of the present investigation.
Hyperparasitic fungi on Meliolales do not represent a single systematic group, but a polyphyletic ecological guild of fungi. Because of this huge diversity, only the systematics of species of perithecioid hyperparasites, as well as of the species of the genera Atractilina and Spiropes known to be hyperparasitic on black mildews was discussed in this thesis, as they represented the most common groups of fungi found in Benin and Panama. The results indicated, for example, the systematic position of Dimerosporiella cephalosporii and Paranectriella minuta in the Sordariomycetes and Dothideomycetes, respectively. In addition, the first record of a hyperparasitic fungus of black mildews in the Lecanoromycetes, namely Calloriopsis herpotricha, is reported here. The systematics of Atractilina parasitica and of some species of Spiropes is also discussed here.
In the context of the present investigation, four species new to science were described. They are presented with detailed descriptions, photos and scientific illustrations. Taxonomic studies of this thesis also generated seven new synonyms, nine new records for Benin, seven for Panama, one for Africa and two for mainland America, as well as the confirmation of one anamorph-teleomorph connection by molecular sequence data.
The ecology of hyperparasitic fungi on Meliolales is complex and far from being completely understood. The hypothesis of host specificity between hyperparasitic fungi, their meliolalean hosts and their plant hosts was tested for the first time, through a tritrophic network analysis. Results indicate that hyperparasites of Meliolales are generalists concerning genera of Meliolales, but apparently specialists at the level of order. In addition, hyperparasitic fungi tend to be found alongside their meliolalean hosts, suggesting a pantropical distribution.
Discrepancies between knockdown and knockout animal model phenotypes have long stood as a perplexing phenomenon. Several mechanisms explaining such observations have been proposed, namely the toxicity or the off-target effects of the knockdown reagents, as well as, in certain cases, genetic robustness – an organism's ability to maintain its phenotype despite genetic perturbations. In addition to these explanations, transcriptional adaptation (TA), a phenomenon defined as an event whereby a mutation in one gene leads to transcriptional upregulation or downregulation of another, adapting, gene or genes expression, has been recently proposed as an alternative explanation for the conflicting knockdown and knockout phenotype paradox.
Since its discovery in 2015, TA's precise mechanism remains a subject of ongoing research. Majority of evidence suggests that mutant mRNA degradation plays a central in TA. Epigenetic remodeling is also thought to play a role, as evidenced by an increase in active histone marks at the transcription start sites of the adapting genes. Whether mRNA degradation is indeed the key player in TA remains debated. Furthermore, it is still unknown how exactly TA develops, what adapting genes it targets, and whether genomic mutations that render mutant mRNA sensitive to degradation are required for TA to occur.
Throughout the experiments described in this Dissertation, I have designed an inducible TA system where TA can be triggered on demand and its effects on the cell’s transcriptome followed through time. I have demonstrated that degradation-prone transgenes, once induced and expressed, can be efficiently degraded, resulting in the protein loss-independent upregulation of adapting genes via TA. Adapting genes with higher degree of sequence similarity become upregulated faster than genes with lower degree of sequence similarity. Further functionality of this approach to study TA is limited by the leakiness of the inducible gene expression system; however, constitutively expressed degradation-prone transgenes were used to demonstrate TA in human cells.
In addition, I have developed an approach to target wild-type cytoplasmic mRNAs without altering the cell’s genome and reported a TA-like phenomenon, which manifested as adapting gene upregulation not relying on mutations in other genes. Cytoplasmic mRNA cleavage with CRISPR-Cas13d triggered a TA-like response in three different gene models: Actg1 knockdown, Ctnna1 knockdown, and Nckap1 knockdown. After comparing two different modes of triggering TA, CRISPR-Cas9 knockout versus CRISPR-Cas13d knockdown, I reported little overlap between the dysregulated genes and suggested that diverse mRNA degradation modes led to distinct TA responses. In addition, the transcriptional increase of Actg2 caused by CRISPR-Cas13d-mediated Actg1 mRNA cleavage did not require chromatin accessibility changes.
Experiments and genetic tools described in this dissertation investigated how TA develops from its earliest onset, how it affects the global transcriptome of the cell, as well as provided compelling evidence for an mRNA degradation-central TA mechanism. I have created tools to study both direct and indirect TA gene targets and unveiled important insights into the temporal dynamics of TA. Genes with higher sequence similarity were found to be upregulated more rapidly than those with lower similarity. Furthermore, it was revealed that the epigenetic properties of TA responses vary depending on the triggering mechanism. Cas13d-mediated degradation of wild-type mRNAs led to immediate transcriptional enhancement independent of epigenetic changes, which stood in contrast to previously measured alterations in chromatin accessibility in CRISPR-Cas9 mutants. This research has thus significantly advanced our knowledge of TA and provided valuable tools and findings that contribute to the broader understanding of gene expression regulation in response to mRNA degradation.
Seit Jahrzehnten finden Kunststoffe aufgrund ihrer vorteilhaften Materialeigenschaften wie z. B. Formbarkeit und im Vergleich zu Glas oder Metall geringe Kosten und leichtes Gewicht, vermehrt Anwendung in allen Bereichen des täglichen Lebens. Einhergehend gelangen Kunststoffe zunehmend in die Umwelt, und reichern sich dort an. Besondere Aufmerksamkeit erfahren Partikel im Größenbereich von 1-1000 µm, sogenanntes Mikroplastik (MP), welches entweder direkt eingetragen wird oder in der Umwelt durch Fragmentierung größerer Plastikteile entsteht. Lange Zeit fokussierte sich die MP Forschung vorrangig auf aquatische Ökosysteme, obwohl Schätzungen davon ausgehen, dass die Kunststoffeinträge in terrestrischen Ökosystemen um ein Vielfaches höher sind. Besonders relevante Eintragspfade sind neben der unsachgemäßen Entsorgung von Abfällen, die landwirtschaftliche Klärschlamm- und Kompostdüngung und der zunehmende Einsatz von Mulchfolien, sowie der im Straßenverkehr generierte Reifenabrieb.
Für eine Abschätzung und Bewertung der MP-Belastung in Böden sind analytische Messungen von MP in Umweltproben essenziell, derzeit jedoch kaum existent, da MP im Boden partikulär und heterogen verteilt vorliegt und deshalb nur schwierig zu detektieren ist. Die für viele Analyseverfahren notwendige Isolation der Kunststoffpartikel, sowie die für repräsentative Messungen erforderliche Aufbereitung großer Probenvolumina stellen besondere analytische Herausforderungen mit großem Kosten- und Zeitaufwand dar. Chromatografische Verfahren finden wenig Anwendung, bieten aber vorteilhafte Voraussetzungen als Screeningverfahren für die Untersuchung von Böden, da sie nicht zwangsweise eine Partikelisolation verlangen, und zudem als Ergebnis einen Massegehalt liefern.
Diese Dissertation zeigt drei Anwendungen Chromatografie basierter Analyseverfahren zur Charakterisierung von MP im Boden. Erstmalig wurde die Thermo-Extraktion-Desorption-Gaschromatografie-Massenspektrometrie (TED-GC/MS) für die Analytik von Reifenabrieb in realen Umweltproben angewandt bei minimaler Probenaufbereitung. Dafür wurde ein Straßenrandboden umfangreich beprobt und analysiert, und es konnte neben der Eignung der analytischen Methode auch eine repräsentative Probenahmestrategie und räumliche Verteilungsmuster von Reifenabrieb im Boden demonstriert werden.
Der zweite Forschungsschwerpunkt lag auf der Methodenentwicklung und validierung eines neuartigen chemischen Extraktionsverfahrens für die Bestimmung von Polyestern in Bodenproben. Das Verfahren basiert auf der hydrolytischen Spaltung von Polyestern in ihre Monomere, deren flüssigchromatografische Abtrennung von Matrixbestandteilen und der Detektion mittels UV-Absorption. Das Verfahren verlangt neben der Extraktion keine weiteren Probenaufbereitungsschritte, ist für unterschiedliche Umweltmatrizes geeignet und ist damit z. B. prädestiniert für den Nachweis von Polyesterfasern auf gedüngten landwirtschaftlichen Flächen.
MP ist nicht nur aufgrund seiner Persistenz problematisch, sondern auch, weil es hydrophobe organische Schadstoffe aus dem Umweltmedium anreichern und transportieren kann. Maßgeblich für das Sorptionsverhalten sind die Materialeigenschaften des zugrunde liegenden Kunststoffes, welche Änderungen durch Alterungsprozessen unterliegen. Der Zusammenhang zwischen Materialalterung und Sorptionsverhalten wurde in früheren Studien kontrovers diskutiert und ist der dritte Teil dieser Arbeit. In einem Sorptionsexperiment konnte mittels Headspace-Gaschromatografie mit Flammenionisations-Detektion die Aufnahme von Aromaten an den Kunststoffen Polypropylen und Polystyrol quantifiziert werden. Die Kunststoffe wurden materialwissenschaftlich charakterisiert, teilweise künstlich gealtert und die daraus resultierende Änderungen der Materialeigenschaften sowie einhergehenden Änderungen des Sorptionsverhaltens erfasst. Dadurch war es möglich den Einfluss einzelner Materialeigenschaften auf das Sorptionsverhalten zu bewerten, Rückschlüsse auf zugrunde liegende Sorptionsmechanismen zu treffen und zu zeigen, dass in vorliegendem Experiment die Polymeralterung bei MP nicht zu einer erhöhten Schadstoffsorption führte.
Unter den weltweit in ständigem Gebrauch befindlichen Chemikalien befinden sich nicht nur Verbindungen mit akuter toxischer Wirkung, sondern auch solche mit Wirkung auf das endokrine System. Eine große Rolle spielt hier vor allem die Störung der Geschlechtsdifferenzierung und der Reproduktion, ausgelöst durch natürliche oder synthetische Chemikalien mit endokrinem Potential, sogenannte endokrine Disruptoren (ED). Diese Chemikalien können über unterschiedliche Eintragspfade in die Umwelt gelangen. Seit Mitte des 20. Jahrhunderts werden mehr und mehr Fälle bekannt, in denen anthropogene Chemikalien die Pflanzen- und Tierwelt belasten, darunter zahlreiche Befunde zu Störungen des Hormonsystems von Mensch und Tier.
Im Rahmen der Gefahren- und Risikobewertung steht bereits eine Vielzahl harmonisierter Prüfrichtlinien für die Identifizierung und Evaluierung der Effekte von (potentiellen) ED zur Verfügung. Um die Gesamtheit aller potentiellen Interaktionen von ED mit dem Hormonsystem detektieren zu können, ist die In-vivo-Untersuchung an Vertebraten in der Chemikalienregistrierung bisher unabdingbar. Bei der Untersuchung endokriner Potentiale in höheren Vertebraten spielen vor allem nager- und vogelbasierte Testsysteme eine wichtige Rolle. Diese bergen jedoch einen hohen zeitlichen, personellen und finanziellen Aufwand und erfordern eine massive Zahl an Versuchstieren, die für diese Tests benötigt werden. Darüber hinaus beinhalten Tierversuche eine Vielzahl von Problemen einschließlich ethischer Bedenken, die sich als Konsequenz der Tierhaltung unter Versuchsbedingungen ergeben. Ein sehr interessanter und vielversprechender Ansatz zur Reduktion von Tierversuchen ist die Entwicklung eines standardisierten Verfahrens für die Untersuchung potentieller ED in Vogelembryonen. Auf Vogelembryonen basierende In-ovo-Modelle stellen einen Mittelweg zwischen In-vitro- und In-vivo-Testsystemen dar. Mit dem Vogeleitest wird der sich entwickelnde Embryo, das für ED sensitivste Entwicklungsstadium im Leben eines Organismus, berücksichtigt.
Das Ziel der vorliegenden Arbeit war die Entwicklung und Eignungsuntersuchung eines auf dem Embryo des Haushuhns (Gallus gallus domesticus) basierenden Testsystems für den Nachweis von ED. Das resultierende Testsystem soll als Alternativmethode zu bisher etablierten nager- und vogelbasierten Testsystemen für die Untersuchung der Effekte hormonell aktiver Substanzen auf die Geschlechtsdifferenzierung in höheren Wirbeltieren eingesetzt werden.
Die im Rahmen der vorliegenden Dissertation durchgeführten Arbeiten umfassten sowohl die Charakterisierung der Normalentwicklung des Hühnerembryos, unbeeinflusst durch ED, als auch die morphologisch-histologischen Veränderungen der Gonaden von substanzexponierten Embryonen. Für die Untersuchung substanzbedingter Effekte, welche den Schwerpunkt der vorliegenden Arbeit darstellen, wurden die Embryonen gegenüber verschiedenen (anti)estrogenen und (anti)androgenen Substanzen exponiert. Unter Einfluss der Estrogene Bisphenol A (BPA) und 17α-Ethinylestradiol (EE2) entwickelten sich die Keimdrüsen der Männchen zu Ovotestes, während Weibchen ein Ovar mit deutlich schmalerem Cortex ausbildeten. Unter Einfluss der Antiestrogene Fulvestrant und Tamoxifen blieben Effekte auf die Gonaden männlicher Embryonen aus, eine durch das potente Estrogen EE2 hervorgerufene Feminisierung männlicher Gonaden konnte durch beide Substanzen jedoch effektiv antagonisiert werden. Weibchen bilden unter Einfluss von Tamoxifen deutlich schmalere linke Gonaden mit einem missgebildeten Cortex aus. Unter Einfluss der Androgene Tributylzinn (TBT) und 17α-Methyltestosteron (MT) blieben die Effekte auf männliche Embryonen aus, während die Weibchen anatomisch virilisierte Gonaden und eine Reduktion des linken gonadalen Cortex aufwiesen. Allein die untersuchten antiandrogenen Versuchssubstanzen Cyproteronacetat (CPA), Flutamid und p,p´-Dichlorodiphenyldichloroethen (p,p´-DDE) hatten keinen Effekt auf die gonadale Geschlechtsdifferenzierung männlicher und weiblicher Hühnerembryonen.
Es konnte gezeigt werden, dass der Embryo von G. gallus domesticus einen sensitiven Organismus innerhalb des Tierreichs darstellt und hinreichend sensitiv auf eine Reihe von endokrin wirksamen und reproduktionstoxischen Chemikalien reagiert. Anatomische und histologische Änderungen der Gonaden können daher als Biomarker für die Wirkung von ED bei Vögeln nützlich sein. Die untersuchten Endpunkte beziehen sich jedoch auf apikale Effekte und liefern keine mechanistischen Informationen zu den untersuchten Substanzen. Der
Hühnereitest ist eine sinnvolle Ergänzung zur bestehenden OECD-Testbatterie und zeichnet sich besonders durch seine kostengünstige und einfache Handhabung im Labor sowie einfach durchzuführende Tests aus. Durch die vergleichsweise kurze Versuchsdauer von nur 19 Tagen ist ein schnelles Substanzscreening möglich, welches zeitlich deutliche Vorteile gegenüber den etablierten nager- und vogelbasierten Testsystemen hat. Als Alternative zu bisherigen Assays könnte der vorgeschlagene Hühnereitest dazu beitragen, im Rahmen der (öko)toxikologischen Gefährdungs- und Risikobewertung von Chemikalien künftig weniger Versuchstiere zu verwenden.
Influenza is a contagious respiratory disease caused by influenza A and influenza B viruses. The World Health Organisation (WHO) reports that annual influenza epidemics result in approximately 1 billion infections, 3 to 5 million severe cases, and 300 to 650 thousand deaths. Understanding hidden mechanisms that lead to optimal vaccine efficacy and improvement antiviral treatment strategies remain continuous and central tasks. First, regarding the immune response to vaccines and natural infections, the antibody response echoes the dynamics of diverse immune elements such as B-cells, and plasma cells. Also, responses reflect the processes for B-cells to gain and adapt affinity for the virus. Antibodies (Abs) that respond to the virus surface proteins, particularly to the hemagglutinin (HA), have been identified to protect against infection. The Abs responses binding to HA can be broadly protective as this protein is considerably accessible on the virion. When following sequential infections with similar influenza strains, i.e. two infections with different strains of a subtype, an enhanced breadth and magnitude of Abs response is developed, mainly after the second infection. The effect of being effective to new strains is called Abs cross-reaction.
On the other hand, as for antiviral treatment, the WHO currently approves the use of neuraminidase inhibitors (NIs) such as zanamivir and oseltamivir. Diverse research areas such as system biology, learning-based methods, control theory, and systems pharmacology have guided the development of modern treatment schemes. To do so, mathematical models are used to describe a wide range of phenomena such as viral pathogenesis, immune responses, and the drug's dynamics in the body. Drug dynamics are usually expressed in two phases, pharmacokinetics (PK) and pharmacodynamics (PD) - the PK/PD approach. These schemes leverage pre-clinical and clinical data through modeling and simulation of infection and drug effects at diverse levels. Under such a framework, control-based scheduling systems seek to tailor optimal antiviral treatment for infectious diseases. Thus, influenza treatment can be theoretically studied as a control-based optimization duty (about systems stability, bounded inputs, and optimality). Finally, towards real-world implementation, learning-based methods such as neural networks (NNs) can guide solving issues on the control-based performance. Using NNs as identifiers provide a setting to deal with infrequent measures and uncertain parameters for the control systems.
This thesis theoretically explores central mechanisms in influenza infection via modeling and control approaches. In the first project, we explore how and to what extent antibody-antigen affinity flexibility could guide the Abs cross-reaction in two sequential infections using a hypothetical family of antigens. The set of antigens generally represent strains of influenza, such as those of a subtype. Each antigen is composed of a variable and a conserved area, generically representing the structures of the HA, head, and stalk, respectively. We test diverse scenarios of affinity thresholds in the conserved and variable areas of the antigens. The Abs response reaches a high magnitude when using equivalent affinity thresholds in the conserved and variable areas during the first infection. However, improved cross-reaction is developed when slightly increasing the affinity threshold of the variable area for the second infection. Key mutations via affinity maturation is a feature that, together with affinity flexibility between infections, guides Abs cross-reaction in the model outcome. These results could correlate with studies pointing out that broad responses might be dependent on reaching specific mutations for getting affinity to a newly presented antigen while broadly reaching related antigens. The general platform may serve as a proof-of-concept for exploring fundamental mechanisms that favor the Abs cross-reaction.
In a second project, theoretical schemes are developed to combine impulsive and inverse optimal control strategies to address antiviral treatment scheduling. We present results regarding stability, passivity, bounded inputs, and optimality using impulsive action. The study is founded on mathematical models of the influenza virus (target-cell limited model) adjusted to data from clinical trials. In these studies, participants were experimentally infected with influenza H1N1 and treated with NIs. Results show that control-based strategies could tailor dosage and reduce the amount of medication by up to 44%. Also, control-based treatment reaches the efficacy (98%) of the current treatment recommendations by the WHO. Monte Carlo simulations (MCS) disclose the robustness of the proposed control-based techniques. Using MCS, we also explore the applicability to the individualized treatment of infectious diseases through virtual clinical trials. Furthermore, bounded control strategies are applied directly in drug dose estimation accounting for overdose prevention. Finally, due to the limitations of the available technology intended for clinical practice, we emphasize the necessity of developing system identifiers and observers for real-world applications.
In the third project, the problem of data scarcity and infrequent measures in the real world is handled by means of learning-based methods. System identification is derived using a Recurrent High Order Neural Network (RHONN) trained with the Extended Kalman filter (EKF). Lessons learned from impulsive control frameworks are taken to develop a neural inverse optimal impulsive control --neurocontrol. The treatment efficacy is tested for early (one day post-infection) and late (2 to 3 days post-infection) treatment initiation. The neurocontrol reaches an efficacy of up to 95% while saving almost 40% of the total drug in the early treatment. Robustness is tested via virtual clinical trials using MCS.
Lastly, taking all together, the schemes developed in this thesis for modeling the Abs cross-reaction and control-based treatment tailoring can be extended and adapted to explore similar phenomena in different respiratory pathogens, such as SARS-CoV-2.
Identifizierung und funktionelle Analyse von Pathogenitätsfaktoren in Bartonella bacilliformis
(2023)
Die Carrión-Krankheit ist eine durch Vektoren übertragene vernachlässigte Tropenkrankheit (neglected tropical disease), die in den südamerikanischen Andentälern auf einer Höhe von 600 3.200 m über dem Meeresspiegel vor allem in Peru, aber auch in Ecuador und Kolumbien endemisch ist. Der Erreger dieser Infektionskrankheit ist Bartonella bacilliformis, ein strikt humanpathogenes, Gram-negatives, fakultativ intrazelluläres Stäbchen der Klasse der Alphaproteobakterien. In der akuten Krankheitsphase, die als "Oroya-Fieber" bezeichnet wird, infizieren die Erreger Erythrozyten und verursachen eine schwere akute hämolytische Anämie, hohes Fieber sowie eine ausgeprägte Immunsuppression. Für diese Phase wurden Sterblichkeitsraten von bis zu 88% beschrieben. Dem Oroya-Fieber folgt meist eine chronische Infektion der vaskulären Endothelzellen, bei der durch vaskulo-endotheliale Proliferationen noduläre, Hämangiom-ähnliche, kutane Gefäßläsionen, die als "Verruga peruana" bezeichnet werden, entstehen. Diese beiden Phasen treten in der Regel nacheinander, manchmal aber auch unabhängig voneinander auf. Die Übertragung auf dem Menschen erfolgt durch den Biss infizierter Sandmücken (Lutzomyia spp.), die in den hochgelegenen Regionen der Anden vorkommen. Klimatische Veränderungen führen jedoch zur Expansion des Vektors auf angrenzende Regionen und begünstigen damit die Ausbreitung von B. bacilliformis-Infektionen.
In der Erforschung der Carrión-Krankheit besteht ein erheblicher Wissensmangel zu zahlreichen Aspekten (z. B. Epidemiologie, Infektionsbiologie, Diagnostik, Therapie), wodurch die Entwicklung von potenziellen Diagnostika, Therapeutika oder Vakzinen verhindert wird. Auch wenn frühere Studien zum Ziel hatten, immundominante Proteine für die Entwicklung serodiagnostischer Verfahren und Impfstoffe zu identifizieren, ist bislang kein validierter serologischer Test bzw. ein Impfstoff verfügbar. Daher sollte im ersten Teil dieser Arbeit ein serologischer Test zum Nachweis von anti-B. bacilliformis-Antikörpern entwickelt werden. Hierzu wurde ein Ansatz aus reverser Vakzinologie in Kombination mit einer Analyse heterologer genomischer Expressionsbibliotheken verfolgt, um geeignete immundominante Proteine zu identifizieren. Insgesamt wurden 21 potenziell immundominante Proteine identifiziert, rekombinant produziert, und auf ihre Reaktivität mit B. bacilliformis Patientenseren mittels Immunoblotting analysiert. Von den 21 Antigenkandidaten erwiesen sich 14 als immunreaktiv, die anschließend in einer Lineblot-Analyse mit 26 Serumproben von peruanischen B. bacilliformis Patienten und 96 Serumproben von gesunden deutschen Blutspendern ohne Reisevorgeschichte in Südamerika auf ihren potenziellen Nutzen für serologische Test untersucht wurden. Drei Antigene (Porin-B, Autotransporter-E und hypothetisches Protein-B) erwiesen sich für die Entwicklung eines diagnostischen ELISA als geeignet und wurden in zwei verschiedenen Antigenkombinationen (ELISA 1: Porin-B, Autotransporter-E, ELISA 2: Porin-B, Autotransporter-E, hypothetisches Protein B) verwendet. Um die Leistungsfähigkeit des B. bacilliformis ELISA zu bewerten, wurde eine Receiver-Operating-Characteristic-Analyse durchgeführt. Für die Kombination aus Porin-B und Autotransporter-E lag die Sensitivität des Tests bei 80,8% und die Spezifität bei 94,8%, wohingegen die Kombination aus Porin-B, Autotransporter-E und dem hypothetischem Protein-B in einer Sensitivität von 76,9% und einer Spezifität von 93,8% resultierte. Dieser neu entwickelte ELISA könnte ein nützliches serodiagnostisches Instrument für künftige epidemiologische Studien über B. bacilliformis in endemischen Gebieten darstellen. Darüber hinaus könnten die hier identifizierten immundominanten Antigene eine erste Grundlage für die zukünftige Entwicklung von Impfstoffen für die Prävention Carrión-Krankheit bilden.
Erythrozyten-Invasion und Hämolyse sind wahrscheinlich die wichtigsten Schritte in der Pathogenese der Carrión-Krankheit und verantwortlich für die hohe Sterblichkeitsrate beim Menschen. Genaue mechanistische Kenntnis dieses Prozesses sind entscheidend für die Entwicklung therapeutischer Arzneimittel. Im zweiten Teil dieser Arbeit sollten die in der Hämolyse involvierten Pathogenitätsfaktoren von B. bacilliformis identifiziert werden. Hierzu wurde eine Tn5-Transposonmutagenese in den beiden B. bacilliformis Stämmen KC583 und KC584 durchgeführt. Ein screening nach Hämolyse-defizienten Mutanten führte zur Identifizierung von zwei Pathogenitätsfaktoren: einem Porin (Porin-A) und einer α/β-Hydrolase. Ihre vermutete Funktion im Prozess der Hämolyse wurde durch eine zielgerichtete markerlose Deletion sowie durch genetische Komplementationen in vitro funktionell bestätigt. Dabei zeigte sich, dass Porin-A und die α/β Hydrolase jeweils essenzielle Faktoren für die Hämolyse darstellen. Durch eine in silico-Charakterisierung konnte konservierte biologische Funktionen identifiziert sowie die dreidimensionale Struktur der Proteine vorhergesagt werden. Diese Versuche bilden eine experimentelle Basis, um die Rolle von Porin-A und der α/β-Hydrolase näher untersuchen zu können und um potenzielle (Porin-A und α/β-Hydrolase) Inhibitoren mit anti-hämolytischer und damit therapeutische Wirkung testen zu können.
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.
Establishing and maintaining protected areas (PAs) is 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 PAs 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 outcome. Applying the tool across 1,346 terrestrial PAs, we demonstrate that decision makers frequently face trade-offs among conflicting objectives, e.g., between species protection and ecosystem integrity. 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.