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Among the defense strategies developed in microbes over millions of years, the innate adaptive CRISPR-Cas immune systems have spread across most of bacteria and archaea. The flexibility, simplicity, and specificity of CRISPR-Cas systems have laid the foundation for CRISPR-based genetic tools. Yet, the efficient administration of CRISPR-based tools demands rational designs to maximize the on-target efficiency and off-target specificity. Specifically, the selection of guide RNAs (gRNAs), which play a crucial role in the target recognition of CRISPR-Cas systems, is non-trivial. Despite the fact that the emerging machine learning techniques provide a solution to aid in gRNA design with prediction algorithms, design rules for many CRISPR-Cas systems are ill-defined, hindering their broader applications.
CRISPR interference (CRISPRi), an alternative gene silencing technique using a catalytically dead Cas protein to interfere with transcription, is a leading technique in bacteria for functional interrogation, pathway manipulation, and genome-wide screens. Although the application is promising, it also is hindered by under-investigated design rules. Therefore, in this work, I develop a state-of-art predictive machine learning model for guide silencing efficiency in bacteria leveraging the advantages of feature engineering, data integration, interpretable AI, and automated machine learning. I first systematically investigate the influential factors that attribute to the extent of depletion in multiple CRISPRi genome-wide essentiality screens in Escherichia coli and demonstrate the surprising dominant contribution of gene-specific effects, such as gene expression level. These observations allowed me to segregate the confounding gene-specific effects using a mixed-effect random forest (MERF) model to provide a better estimate of guide efficiency, together with the improvement led by integrating multiple screens. The MERF model outperformed existing tools in an independent high-throughput saturating screen. I next interpret the predictive model to extract the design rules for robust gene silencing, such as the preference for cytosine and disfavoring for guanine and thymine within and around the protospacer adjacent motif (PAM) sequence. I further incorporated the MERF model in a web-based tool that is freely accessible at www.ciao.helmholtz-hiri.de.
When comparing the MERF model with existing tools, the performance of the alternative gRNA design tool optimized for CRISPRi in eukaryotes when applied to bacteria was far from satisfying, questioning the robustness of prediction algorithms across organisms. In addition, the CRISPR-Cas systems exhibit diverse mechanisms albeit with some similarities. The captured predictive patterns from one dataset thereby are at risk of poor generalization when applied across organisms and CRISPR-Cas techniques. To fill the gap, the machine learning approach I present here for CRISPRi could serve as a blueprint for the effective development of prediction algorithms for specific organisms or CRISPR-Cas systems of interest. The explicit workflow includes three principle steps: 1) accommodating the feature set for the CRISPR-Cas system or technique; 2) optimizing a machine learning model using automated machine learning; 3) explaining the model using interpretable AI. To illustrate the applicability of the workflow and diversity of results when applied across different bacteria and CRISPR-Cas systems, I have applied this workflow to analyze three distinct CRISPR-Cas genome-wide screens. From the CRISPR base editor essentiality screen in E. coli, I have determined the PAM preference and sequence context in the editing window for efficient editing, such as A at the 2nd position of PAM, A/TT/TG downstream of PAM, and TC at the 4th to 5th position of gRNAs. From the CRISPR-Cas13a screen in E. coli, in addition to the strong correlation with the guide depletion, the target expression level is the strongest predictor in the model, supporting it as a main determinant of the activation of Cas13-induced immunity and better characterizing the CRISPR-Cas13 system. From the CRISPR-Cas12a screen in Klebsiella pneumoniae, I have extracted the design rules for robust antimicrobial activity across K. pneumoniae strains and provided a predictive algorithm for gRNA design, facilitating CRISPR-Cas12a as an alternative technique to tackle antibiotic resistance.
Overall, this thesis presents an accurate prediction algorithm for CRISPRi guide efficiency in bacteria, providing insights into the determinants of efficient silencing and guide designs. The systematic exploration has led to a robust machine learning approach for effective model development in other bacteria and CRISPR-Cas systems. Applying the approach in the analysis of independent CRISPR-Cas screens not only sheds light on the design rules but also the mechanisms of the CRISPR-Cas systems. Together, I demonstrate that applied machine learning paves the way to a deeper understanding and a broader application of CRISPR-Cas systems.
RNA sequencing (RNA-seq) has in recent years become the preferred method for gene expression analysis and whole transcriptome annotation. While initial RNA-seq experiments focused on eukaryotic messenger RNAs (mRNAs), which can be purified from the cellular ribonucleic acid (RNA) pool with relative ease, more advanced protocols had to be developed for sequencing of microbial transcriptomes. The resulting RNA-seq data revealed an unexpected complexity of bacterial transcriptomes and the requirement for specific analysis methods, which in many cases is not covered by tools developed for processing of eukaryotic data.
The aim of this thesis was the development and application of specific data analysis methods for different RNA-seq-based approaches used to gain insights into transcription and gene regulatory processes in prokaryotes.
The differential RNA sequencing (dRNA-seq) approach allows for transcriptional start site (TSS) annotation by differentiating between primary transcripts with a 5’-triphosphate (5’-PPP) and processed transcripts with a 5’-monophosphate (5’-P). This method was applied in combination with an automated TSS annotation tool to generate global trancriptome maps for Escherichia coli (E. coli) and Helicobacter pylori (H. pylori).
In the E. coli study we conducted different downstream analyses to gain a deeper understanding of the nature and properties of transcripts in our TSS map. Here, we focused especially on putative antisense RNAs (asRNAs), an RNA class transcribed from the opposite strand of known protein-coding genes with the potential to regulate corresponding sense transcripts. Besides providing a set of putative asRNAs and experimental validation of candidates via Northern analysis, we analyzed and discussed different sources of variation in RNA-seq data.
The aim of the H. pylori study was to provide a detailed description of the dRNA-seq approach and its application to a bacterial model organism. It includes information on experimental protocols and requirements for data analysis to generate a genome-wide TSS map. We show how the included TSS can be used to identify and analyze transcriptome and regulatory features and discuss challenges in terms oflibrary preparation protocols, sequencing platforms, and data analysis including manual and automated TSS annotation.
The TSS maps and associated transcriptome data from both H. pylori and E. coli were made available for visualization in an easily accessible online browser.
Furthermore, a modified version of dRNA-seq was used to identify transcriptome targets of the RNA pyrophosphohydrolase (RppH) in H. pylori. RppH initiates 5’-end-dependent degradation of transcripts by converting the 5’-PPP of primary transcripts to a 5’-P. I developed an analysis method, which uses data from complementary DNA (cDNA) libraries specific for transcripts carrying a 5’-PPP, 5’-P or both, to specifically identify transcripts modified by RppH. For this, the method assessed the 5’-phosphorylation state and cellular concentration of transcripts in rppH deletion in comparison to strains with the intact gene. Several of the identified potential RppH targets were further validated via half-life measurements and quantification of their 5’-phosphorylation state in wild-type and mutant cells. Our findings suggest an important role for RppH in post-transcriptional gene regulationin H. pylori and related organisms.
In addition, we applied two RNA-seq -based approaches, RNA immunoprecipitation followed by sequencing (RIP-seq) and cross-linking immunoprecipitation followed by sequencing (CLIP-seq), to identify transcripts bound by Hfq and CsrA, two RNA-binding proteins (RBPs) with an important role in post-transcriptional regulation.
For RIP-seq -based identification of CsrA binding regions in Campylobacter jejuni(C. jejuni), we used annotation-based analysis and, in addition, a self-developed peak calling method based on a sliding window approach. Both methods revealed flaA mRNA, encoding the major flagellin, as the main target and functional analysis of identified targets showed a significant enrichment of genes involved in flagella biosynthesis. Further experimental analysis revealed the role of flaA mRNA in post-transcriptional regulation. In comparison to RIP-seq, CLIP-seq allows mapping of RBP binding sites with a higher resolution. To identify these sites an approach called “block-based peak calling” was developed and resulting peaks were used to identify sequence and structural constraints required for interaction of Hfq and CsrA with Salmonella transcripts.
Overall, the different RNA-seq-based approaches described in this thesis together with their associated analyis pipelines extended our knowledge on the transcriptional repertoire and modes of post-transcriptional regulation in bacteria. The global TSS maps, including further characterized asRNA candidates, putative RppH targets, and identified RBP interactomes will likely trigger similar global studies in the same or different organisms or will be used as a resource for closer examination of these features.
Host–microbe interactions are the key to understand why and how microbes inhabit specific environments. With the scientific fields of microbial genomics and metagenomics, evolving on an unprecedented scale, one is able to gain insights in these interactions on a molecular and ecological level. The goal of this PhD thesis was to make (meta–)genomic data accessible, integrate it in a comparative manner and to gain comprehensive taxonomic and functional insights into bacterial strains and communities derived from two different environments: the phyllosphere of Arabidopsis thaliana and the mesohyl interior of marine sponges.
This thesis focused first on the de novo assembly of bacterial genomes. A 5–step protocol was developed, each step including a quality control. The examination of different assembly software in a comparative way identified SPAdes as most suitable. The protocol enables the user to chose the best tailored assembly. Contamination issues were solved by an initial filtering of the data and methods normally used for the binning of metagenomic datasets. This step is missed in many published assembly pipelines. The described protocol offers assemblies of high quality ready for downstream analysis.
Subsequently, assemblies generated with the developed protocol were annotated and explored
in terms of their function. In a first study, the genome of a phyllosphere bacterium, Williamsia sp. ARP1, was analyzed, offering many adaptions to the leaf habitat: it can deal with temperature shifts, react to oxygen species, produces mycosporins as protection against UV–light, and is able to uptake photosynthates. Further, its taxonomic position within the Actinomycetales was infered from 16S rRNA and comparative genomics showing the close relation between the genera Williamsia and Gordonia.
In a second study, six sponge–derived actinomycete genomes were investigated for secondary metabolism. By use of state–of–the–art software, these strains exhibited numerous gene clusters, mostly linked to polykethide synthases, non–ribosomal peptide synthesis, terpenes, fatty acids and saccharides. Subsequent predictions on these clusters offered a great variety of possible produced compounds with antibiotic, antifungal or anti–cancer activity. These analysis highlight the potential for the synthesis of natural products and the use of genomic data as screening toolkit.
In a last study, three sponge–derived and one seawater metagenomes were functionally compared. Different signatures regarding the microbial composition and GC–distribution were observed between the two environments. With a focus on bacerial defense systems, the data indicates a pronounced repertoire of sponge associated bacteria for bacterial defense systems, in particular, Clustered Regularly Interspaced Short Palindromic Repeats, restriction modification system, DNA phosphorothioation and phage growth limitation. In addition, characterizing genes for secondary metabolite cluster differed between sponge and seawater microbiomes. Moreover, a variety of Type I polyketide synthases were only found within the sponge microbiomes. With that, metagenomics are shown to be a useful tool for the screening of secondary metabolite genes. Furthermore, enriched defense systems are highlighted as feature of sponge-associated microbes and marks them as a selective trait.
Marine sponges (phylum Porifera) are simple, sessile, filter-feeder animals. Microbial symbionts are commonly found in the sponge internal tissue, termed the mesohyl. With respect to the microbial content, sponges are classified as either low-microbial abundance sponges (LMA), or high-microbial abundance sponges (HMA). The HMA/LMA dichotomy was explored in this Thesis using the Red Sea sponges as experimental models. A range of methods encompassing transmission electron microscopy, 16S rRNA gene deep sequencing, and metatranscriptomics was employed towards this goal. Here, particular emphasis was placed on the functional analysis of sponge microbiomes.
The Red Sea sponges Stylissa carteri, Xestospongia testudinaria, Amphimedon ochracea, and Crella cyathophora were classified as HMA or LMA sponges using transmission electron microscopy. The diversity, specificity, and transcriptional activity of microbes associated with the sponges S. carteri (LMA) and X. testudinaria (HMA) and seawater were investigated using 16S rRNA amplicon pyrosequencing. The microbial composition of S. carteri was more similar to that of seawater than to that of X. testudinaria, which is consistent with the observation that the sequence data set of S. carteri contained many more possibly seawater sequences (~24%) than the X. testudinaria data set (~6%). The most abundant operational taxonomic units (OTUs) were shared between all three sources (S. carteri, X. testudinaria, seawater), while rare OTUs were unique to any given source. Despite this high degree of overlap, each sponge species contained its own specific microbiota. S. carteri microbiomes were enriched of Gammaproteobacteria and members of the genus Synechococcus and Nitrospira. Enriched members of X. testudinaria microbiomes included Chloroflexi, Deferribacteres, and Actinobacteria. The transcriptional activity of sponge-associated microorganisms was assessed by comparing 16S rRNA gene with transcript amplicons, which showed a good correlation.
The microbial functional gene repertoire of sponges and seawater from the Red Sea (X. testudinaria, S. carteri) and the Mediterranean (Aplysina aerophoba, Dysidea avara) were investigated with the environmental microarray GeoChip 4. Amplicon sequencing was performed alongside in order to assess microbial diversity. The typical microbial diversity patterns characteristic of HMA (abundance of Gammaproteobacteria, Chloroflexi, Acidobacteria, Deferribacteres, and others) and LMA sponges (abundance of Alpha-, Beta-, Gammaproteobacteria, Cyanobacteria, and Bacteroidetes) were confirmed. The HMA/LMA dichotomy was stronger than any possible geographic pattern based on microbial diversity (amplicon) and functional genes (GeoChip). However upon inspection of individual genes detected by GeoChip, very few specific differences were discernible, including differences related to microbial ammonia oxidation, ammonification (higher gene abundance in sponges over seawater) as well as denitrification (lower gene abundance). Furthermore, a higher abundance of a gene, pcc, representative of archaeal autotrophic carbon fixation was noted in sponges over seawater. Thirdly, stress-related genes, in particular those related to radiation, were found in lower abundances in sponge microbiomes than in seawater. With the exception of few documented specific differences, the functional gene repertoire between the different sources appeared largely similar.
The most actively expressed genes of S. carteri microbiomes were investigated with metatranscriptomics. Prokaryotic mRNA was enriched from sponge total RNA, sequenced using Illumina HiSeq technology, and annotated with the metagenomics Rapid Annotation using Subsystem Technology (MG-RAST) pipeline. High expression of archaeal ammonia oxidation and photosynthetic carbon fixation by members of the genus Synechococcus was detected. Functions related to stress response and membrane transporters were among the most highly expressed by S. carteri symbionts. Unexpectedly, gene functions related to methylotrophy were highly expressed by gammaproteobacterial symbionts. The presence of seawater-derived microbes is indicated by the phylogenetic proximity of organic carbon transporters to orthologs of members from the SAR11 clade. In summary, the most expressed functions of the S. carteri-associated microbial community were revealed and linked to the dominant taxonomic members of the microbiome.
In conclusion, HMA and LMA Red Sea sponges were used as models to gain insights into relevant themes in sponge microbiology, i.e. diversity, specificity, and functional activities. Overall, my Thesis contributes to a better understanding of sponge-associated microbial communities, and the implications of this association to marine ecology.
Marine sponges are the most ancient metazoans and of large ecological importance as drivers of water and nutrient flows in benthic habitats. Furthermore marine sponges are well known for their association with highly abundant and diverse microbial consortia. Microorganisms inhabit the extracellular matrix of marine sponges where they can make up to 35% of the sponge’s biomass. Many microbial symbionts of marine sponges are highly host specific and cannot, or only in very rare abundances, be found outside of their host environment. Of special interest is the candidate phylum Poribacteria that was first discovered in marine sponges and still remains almost exclusive to their hosts. Phylogenetically Poribacteria were placed into the Planctomycetes, Verrucomicrobia, Chlamydiae superphylum and similarly to many members of this superphylum cell compartmentation has been proposed to occur in members of the Poribacteria. The status as a candidate phylum implies that no member of Poribacteria has been obtained in culture yet. This restricts the investigations of Poribacteria and their interactions with marine sponges to culture independent methods and makes functional characterisation a difficult task.
In this PhD thesis I used the novel method of single-cell genomics to investigate the genomic potential of the candidate phylum Poribacteria. Single-cell genomics enables whole genome sequencing of uncultivated microorganisms by singularising cells from the environment, subsequent cell lysis and multiple displacement amplification of the total genomic DNA. This process yields sufficient amounts of DNA for whole genome sequencing and genome analysis. This technique and its relevance for symbiosis studies are discussed in this PhD thesis.
Through the application of single-cell genomics it was possible to increase the number of single-amplified genomes of the candidate phylum Poribacteria from initially one to a total of six. Analyses of these datasets made it possible to enhance our understanding of the metabolism, taxonomy, and phylum diversity of Poribacteria and thus made these one of the best-characterised sponge symbionts today. The poribacterial genomes represented three phylotypes within the candidate phylum of which one appeared dominant. Phylogenetic and phylogenomic analyses revealed a novel phylogenetic positioning of Poribacteria distinctly outside of the Planctomycete, Verrucomicorbia, Chlamydiae superphylum. The occurrence of cell compartmentation in Poribacteria was also revisited based on the obtained genome sequences and revealed evidence for bacterial microcompartments instead of the previously suggested nucleotide-like structures. An extensive genomic repertoire of glycoside hydrolases, glycotransferases, and other carbohydrate active enzymes was found to be the central shared feature between all poribacterial genomes and showed that Poribacteria are among those marine bacteria with the largest genomic repertoire for carbohydrate degradation. Detailed analysis of the carbohydrate metabolism revealed that Poribacteria have the genomic potential for degradation of a variety of polymers, di- and monosaccharaides that allow these symbionts to feed various nutrient sources accessible through the filter-feeding activities of the sponge host. Furthermore the poribacterial glycobiome appeared to enable degradation of glycosaminoglycan chains, one of the main building blocks of extracellular matrix of marine sponges. Different lifestyles resulting from the poribacterial carbohydrate degradation potential are discussed including the influence of nutrient cycling in sponges, nutrient recycling and scavenging. The findings of this thesis emphasise the long overlooked importance of heterotrophic symbionts such as Poribacteria for the interactions with marine sponges and represent a solid basis for future studies of the influence heterotrophic symbionts have on their sponge hosts.
Die oberirdischen Oberflächen von Pflanzen sind von komplexen mikrobiellen Konsortien besiedelt deren Zusammensetzung von verschiedenen Faktoren abhängig ist. In der vorliegenden Promotionsarbeit wurden zwei Eigenschaften pflanzlicher Oberflächen auf mögliche Auswirkungen auf ihre bakterielle Besiedelung hin untersucht. Dazu wurden Wildtyplinien und Mutanten von Arabidopsis thaliana eingesetzt. Zunächst wurde die bakterielle Besiedelung von A. thaliana Wildtyplinien in kultivierungsbasierten Experimenten untersucht. Es wurde hierbei ein Überblick über die kultivierbare Diversität auf Pflanzen, die unter kontrollierten Bedingungen im Klimaschrank gewachsen waren und Pflanzen, die einen Freilandaufenthalt durchlaufen hatten, gewonnen. Der Einfluss von nicht-drüsigen Trichomen von A. thaliana auf die Quantität und Diversität der bakteriellen Besiedelung wurde am A. thaliana Col-0-Wildtyp mit normaler Behaarung und der trichomlosen gl1-Mutante untersucht. Mithilfe von DAPI-Färbungen und nachfolgender Zellzählung wurden die bakteriellen Gemeinschaften der beiden Pflanzenlinien quantifiziert. Dabei zeigten sich keine pflanzenlinienspezifischen Unterschiede. Durch die Amplifizierung der bakteriellen 16S rRNA-Gene der Gemeinschaft und den nachfolgenden Einsatz der Denaturierenden Gradientengelelektrophorese (DGGE) wurde ein Überblick über die Diversität der vorherrschenden Bakteriengruppen gewonnen. Obwohl Trichome als bevorzugte Siedlungsplätze von Bakterien gelten, wurden hier auch hinsichtlich der Diversität der bakteriellen Gemeinschaften keine Unterschiede zwischen den untersuchten Pflanzenlinien gefunden. Als weiteres artspezifisches Merkmal von Pflanzenoberflächen wurde die Zusammensetzung der kutikulären Wachse als Einflussfaktor untersucht. Dafür wurden vier eceriferum-Mutanten (cer) von A. thaliana in Landsberg erecta (Ler) Wildtyp-Hintergrund eingesetzt, die sich hinsichtlich der kutikulären Wachszusammensetzung ihrer Blätter unterschieden. Zur Untersuchung der Diversität der bakteriellen Besiedelung wurde zunächst ein DGGE-Screening durchgeführt. Hier zeigten sich deutliche pflanzenlinienspezifische Unterschiede, die vor allem die Gemeinschaften der cer9- und der cer16-Mutante betrafen. Zur genaueren Charakterisierung der bakteriellen Gemeinschaften der fünf Pflanzenlinien wurde die Amplicon-Pyrosequenzierung eingesetzt. Hierbei stellte sich die bakterielle Diversität auf allen Pflanzenlinien entsprechend des Phyllosphärenhabitats moderat divers und ungleich verteilt dar. Die Identifizierung der sequenzierten Phylotypen ließ eine bakterielle Kerngemeinschaft erkennen. Weiterhin wurden 35 Phylotypen identifiziert, die differenziell auf einzelnen Pflanzenlinien auftraten. Hier handelte es sich um den pflanzenlinienspezifischen Teil der bakteriellen Gemeinschaften. Die statistische Analyse zeigte deutlich divergente Muster für die analysierten Bakteriengemeinschaften der fünf Pflanzenlinien. Vor allem die Gemeinschaften der cer6-, cer9- und cer16-Linie konnten in einer UniFrac-basierten Clusteranalyse von den anderen Pflanzenlinien abgegrenzt werden. Diese Ergebnisse zeigen klar, dass die Mutationen in der Wachsbiosynthese zu divergenten bakteriellen Gemeinschaften führten.
Untersuchungen zur Diversität, Abundanz und vertikalen Weitergabe von Bakterien in marinen Schwämmen
(2013)
Marine Schwämme (Phylum Porifera) gehören mit ihrem ersten Auftreten im Präkambrium vor ungefähr 580 Millionen Jahren zu den ältesten Vertretern der Metazoen weltweit. Ähnlich lange leben sie wahrscheinlich schon in Symbiose mit Mikroorganismen. In der vorliegenden Doktorarbeit soll der karibische Schwamm Ectyoplasia ferox als Modellsystem zur Erforschung der Schwamm-assoziierten mikrobiellen Konsortien, deren Weitergabe und Interaktionen mit dem Schwamm, vorgestellt werden. Mit Hilfe von 16S rRNA-Genbanken sowie der denaturierenden Gradienten-Gelelektrophorese (DGGE) konnte gezeigt werden, dass Symbionten aus sechs der in E. ferox gefundenen acht Phyla sowie der „sponge-associated unclassified lineage” SAUL vertikal an die nächste Schwammgeneration weitergegeben werden. Mittels phylogenetischer Analysen wurden insgesamt 21 „vertical transmission“ (VT) Cluster identifiziert, von denen 19 in „sponge specific“ Cluster (SSC) bzw. „sponge coral“ Clustern (SCC) lagen. Daraus kann man schließen, dass ein Großteil des mikrobiellen Konsortiums von E. ferox über die reproduktiven Stadien weitergegeben wird. Auch konnten zwei Cyanobakterien identifiziert werden, die nicht in den reproduktiven Stadien vorhanden waren und höchstwahrscheinlich horizontal aus dem umgebenden Meerwasser aufgenommen wurden. Eine Reduzierung von 50% der Symbionten im Mesohyl nach dem „spawning“ zeigte erstmalig experimentell auf, dass Schwammsymbionten aus dem Schwamm in das umgebende Meerwasser gelangen können. In dieser Arbeit wurde zum ersten Mal der „presence vs. activity“-Vergleich zur Feststellung der metabolischen Aktivität von Bakterien auf die DGGE-Methode übertragen. Es konnte gezeigt werden, dass die meisten mikrobiellen Symbionten im Adult-Schwamm, Embryo- sowie Larvalstadium metabolisch aktiv waren. Erste Versuche die Anzahl von Symbionten in den Larven von E. ferox mittels Antibiotika zu reduzieren, verliefen positiv. So wiesen die mit Antibiotika behandelten Larven in der DGGE eine deutliche Reduzierung der Bandenintensität auf. Die Verfügbarkeit aller reproduktiver Stadien von E. ferox sowie die Möglichkeit die Larven im Labor experimentell zu manipulieren, machen E. ferox zu einem geeigneten Modellschwamm für zukünftige Studien bezüglich der vertikalen Weitergabe von Symbionten.
Neisseria meningitidis is a facultative human pathogen that occasionally shows strong resistance against serum complement exposure. Previously described factors that mediate meningococcal serum resistance are for example the capsule, LPS sialylation, and expression of the factor H binding protein. I aimed for identification of novel serum resistance factors, thereby following two approaches, i) the analysis of the impact of global regulators of gene expression on serum resistance; and ii) a comparative analysis of closely related strains differing in serum resistance. (i) Of six meningococcal global regulators of gene expression studied, only mutation of the zinc uptake regulator Zur reduced complement deposition on meningococci. Little was known about meningococcal Zur and regulatory processes in response to zinc. I therefore elucidated the yet unidentified meningococcal Zur regulon comparing the transcriptional response of the N. meningitidis strain MC58 under zinc-rich and zinc-deficient conditions using a common reference design of microarray analysis. The meningococcal Zur regulon comprises 17 genes, of which 15 genes were repressed and two genes were activated at high zinc condition. Amongst the Zur-repressed genes were genes involved in zinc uptake, tRNA modification, and ribosomal assembly. A 23 bp meningococcal consensus Zur binding motif (Zur box) with a conserved central palindrome was established (TGTTATDNHATAACA) and detected in the promoter region of all regulated transcriptional units (genes/operons). In vitro binding of meningococcal Zur to the Zur box of three selected genes was shown for the first time using EMSAs. Binding of meningococcal Zur to DNA depended specifically on zinc, and mutations in the palindromic sequence constrained Zur binding to the DNA motif. ii) Three closely related strains of ST-41/44 cc from invasive disease and carriage which differed in their resistance to serum complement exposure were analysed to identify novel mediators of serum resistance. I compared the strains’ gene content by microarray analysis which revealed six genes being present in both carrier isolates, but absent in the invasive isolate. Four of them are part of two Islands of horizontally transferred DNA, i.e. IHT-B and –C. The working group furthermore applied a comprehensive screening assay, a transcriptome and a proteome analysis leading to identification of three target proteins. I contributed to establish the role of these three proteins in serum resistance: The adhesin Opc mediates serum resistance by binding of vitronectin, a negative regulator of the complement system; the hypothetical protein NMB0865 slightly contributes to serum resistance by a yet unknown mechanism; and NspA, recently identified to bind the negative complement regulator factor H, led to considerable reduced complement-mediated killing.
While beneficial sponge-microbe associations have received much attention in recent years, less effort has been undertaken to investigate the interactions of sponges with potentially pathogenic microorganisms. Thus, the aim of this study was to examine two selected Caribbean disease conditions, termed “Sponge Orange Band” and “Sponge White Patch”, via ecological and molecular methods. Sponge Orange Band (SOB) disease affects the prominent Caribbean barrel sponge Xestospongia muta that is counted among the high-microbial-abundance (HMA) sponges, whereas Sponge White Patch (SWP) disease affects the abundant rope sponge Amphimedon compressa that belongs to the low-microbial-abundance (LMA) sponges. I have documented for both Caribbean sponge diseases a disease progression going along with massive tissue destruction as well as loss of the characteristic microbial signatures. Even though new bacteria were shown to colonize the bleached areas, the infection trials revealed in both cases no indication for the involvement of a microbial pathogen as an etiologic agent of disease leaving us still in the dark about the cause of Sponge Orange Band as well as Sponge White Patch disease.
Streptococcus pneumoniae (Pneumococcus) is one of the leading causes of childhood meningitis,pneumonia and sepsis. Despite the availability of childhood vaccination programs and antimicrobial agents, childhood pneumococcal meningitis is still a devastating illness with mortality rates among the highest of any cause of bacterial meningitis. Especially in low-income countries, where medical care is less accessible, mortality rates up to 50 % have been reported. In surviving patients, neurological sequelae, including hearing loss, focal neurological deficits and cognitive impairment, is reported in 30 to 50 %. Growing resistance of pneumococci towards conventional antibiotics emphasize the need for effective therapies and development of effective vaccines against Streptococcus pneumoniae. One major virulence factor of Streptococcus pneumoniae is the protein toxin Pneumolysin (PLY). PLY belongs to a family of structurally related toxins, the so-called cholesterol-dependent cytolysins (CDCs). Pneumolysin is produced by almost all clinical isolates of the bacterium. It is expressed during the late log phase of bacterial growth and gets released mainly through spontaneous autolysis of the bacterial cell. After binding to cholesterol in the host cell membranes, oligomerization of up to 50 toxin monomers and rearrangement of the protein structure, PLY forms large pores, leading to cell lysis in higher toxin concentrations. At sub-lytic concentrations, however, PLY mediates several other effects, such as activation of the classic complement pathway and the induction of apoptosis. First experiments with pneumococcal strains, deficient in pneumolysin, showed a reduced virulence of the organism, which emphasizes the contribution of this toxin to the course of bacterial meningitis and the urgent need for the understanding of the multiple mechanisms leading to invasive pneumococcal disease. The aim of this thesis was to shed light on the contribution of pneumolysin to the course of the disease as well as to the mental illness patients are suffering from after recovery from pneumococcal meningitis. Therefore, we firstly investigated the effects of sub-lytic pneumolysin concentrations onto primary mouse neurons, transfected with a GFP construct and imaged with the help of laser scanning confocal microscopy. We discovered two major morphological changes in the dendrites of primary mouse neurons: The formation of focal swellings along the dendrites (so-called varicosities) and the reduction of dendritic spines. To study these effects in a more complex system, closer to the in vivo situation, we established a reproducible method for acute brain slice culturing. With the help of this culturing method, we were able to discover the same morphological changes in dendrites upon challenge with sub-lytic concentrations of pneumolysin. We were able to reverse the seen alterations in dendritic structure with the help of two antagonists of the NMDA receptor, connecting the toxin´s mode of action to a non-physiological stimulation of this subtype of glutamate receptors. The loss of dendritic spines (representing the postsynapse) in our brain slice model could be verified with the help of brain slices from adult mice, suffering from pneumococcal meningitis. By immunohistochemical staining with an antibody against synapsin I, serving as a presynaptic marker, we were able to identify a reduction of synapsin I in the cortex of mice, infected with a pneumococcal strain which is capable of producing pneumolysin. The reduction of synapsin I was higher in these brain slices compared to mice infected with a pneumococcal strain which is not capable of producing pneumolysin, illustrating a clear role for the toxin in the reduction of dendritic spines. The fact that the seen effects weren´t abolished under calcium free conditions clarifies that not only the influx of calcium through the pneumolysin-pore is responsible for the alterations. These findings were further supported by calcium imaging experiments, where an inhibitor of the NMDA receptor was capable of delaying the time point, when the maximum of calcium influx upon PLY challenge was reached. Additionally, we were able to observe the dendritic beadings with the help of immunohistochemistry with an antibody against MAP2, a neuron-specific cytoskeletal protein. These observations also connect pneumolysin´s mode of action to excitotoxicity, as several studies mention the aggregation of MAP2 in dendritic beadings in response to excitotoxic stimuli. All in all, this is the first study connecting pneumolysin to excitotoxic events, which might be a novel chance to tie in other options of treatment for patients suffering from pneumococcal meningitis.