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Bacterial small non-coding RNAs (sRNAs) play fundamental roles in controlling and finetuning gene expression in a wide variety of cellular processes, including stress responses, environmental signaling and virulence in pathogens. Despite the identification of hundreds of sRNA candidates in diverse bacteria by genomics approaches, the mechanisms and regulatory capabilities of these posttranscriptional regulators have most intensively been studied in Gram-negative Gammaproteobacteria such as Escherichia coli and Salmonella. So far, almost nothing is known about sRNA-mediated regulation (riboregulation) in Epsilonproteobacteria, including the major human pathogen Helicobacter pylori. H. pylori was even thought to be deficient for riboregulation as none of the sRNAs known from enterobacteria are conserved in Helicobacter and since it lacks the major RNA chaperone Hfq, which is crucial for sRNA function as well as stability in many bacteria. Nonetheless, more than 60 cis- and trans-acting sRNA candidates were recently identified in H. pylori by a global RNA sequencing approach, indicating that this pathogen, in principle, has the capability to use riboregulation for its gene expression control. However, the functions and underlying mechanisms of H. pylori sRNAs remained unclear.
This thesis focused on the first functional characterization and target gene identification of a trans-acting sRNA, RepG (Regulator of polymeric G-repeats), in H. pylori. Using in-vitro and in-vivo approaches, RepG was shown to directly base-pair with its C/Urich terminator loop to a variable homopolymeric G-repeat in the 5’ untranslated region (UTR) of the tlpB mRNA, thereby regulating expression of the chemotaxis receptor TlpB. While the RepG sRNA is highly conserved, the length of the G-repeat in the tlpB mRNA leader varies among different H. pylori isolates, resulting in a strain-specific tlpB regulation. The modification of the number of guanines within the G-stretch in H. pylori strain 26695 demonstrated that the length of the homopolymeric G-repeat determines the outcome of posttranscriptional control (repression or activation) of tlpB by RepG. This lengthdependent targeting of a simple sequence repeat by a trans-acting sRNA represents a new twist in sRNA-mediated regulation and a novel mechanism of gene expression control, since it uniquely links phase variation by simple sequence repeats to posttranscriptional regulation.
In almost all sequenced H. pylori strains, tlpB is encoded in a two gene operon upstream of HP0102, a gene of previously unknown function. This study provided evidence that HP0102 encodes a glycosyltransferase involved in LPS O-chain and Lewis x antigen production. Accordingly, this glycosyltransferase was shown to be essential for mice colonization by H. pylori. The coordinated posttranscriptional regulation of the tlpB-HP0102 operon by antisense base-pairing of RepG to the phase-variable G-repeat in the 5’ UTR of the tlpB mRNA allows for a gradual, rather than ON/OFF, control of HP0102 expression, thereby affecting LPS biosynthesis in H. pylori. This fine-tuning of O-chain and Lewis x antigen expression modulates H. pylori antibiotics sensitivity and thus, might be advantageous for Helicobacter colonization and persistence.
Whole transcriptome analysis based on microarray and RNA sequencing was used to identify additional RepG target mRNAs and uncover the physiological role of this riboregulator in H. pylori. Altogether, repG deletion affected expression of more than 40 target gene candidates involved various cellular processes, including membrane transport and adhesion, LPS modification, amino acid metabolism, oxidative and nitrosative stress, and nucleic acid modification. The presence of homopolymeric G-repeats/G-rich sequences in almost all target mRNA candidates indicated that RepG hijacks a conserved motif to
recognize and regulate multiple target mRNAs in H. pylori.
Overall, this study demonstrates that H. pylori employs riboregulation in stress response and virulence control. In addition, this thesis has successfully established Helicobacter as a new model organism for investigating general concepts of gene expression control by Hfq-independent sRNAs and sRNAs in bacterial pathogens.
Localization microscopy is a class of super-resolution fluorescence microscopy techniques. Localization microscopy methods are characterized by stochastic temporal isolation of fluorophore emission, i.e., making the fluorophores blink so rapidly that no two are
likely to be photoactive at the same time close to each other. Well-known localization microscopy methods include dSTORM}, STORM, PALM, FPALM, or GSDIM. The biological community has taken great interest in localization microscopy, since it can enhance the resolution of common fluorescence microscopy by an order of magnitude at little experimental cost.
However, localization microscopy has considerable computational cost since millions of individual stochastic emissions must be located with nanometer precision. The computational cost of this evaluation, and the organizational cost of implementing the complex algorithms, has impeded adoption of super-resolution microscopy for a long time.
In this work, I describe my algorithmic framework for evaluating localization microscopy data.
I demonstrate how my novel open-source software achieves real-time data evaluation, i.e., can evaluate data faster than the common experimental setups can capture them.
I show how this speed is attained on standard consumer-grade CPUs, removing the need for computing on expensive clusters or deploying graphics processing units.
The evaluation is performed with the widely accepted Gaussian PSF model and a Poissonian maximum-likelihood noise model.
I extend the computational model to show how robust, optimal two-color evaluation is realized, allowing correlative microscopy between multiple proteins or structures. By employing cubic B-splines, I show how the evaluation of three-dimensional samples can be made simple and robust, taking an important step towards precise imaging of micrometer-thick samples.
I uncover the behavior and limits of localization algorithms in the face of increasing emission densities.
Finally, I show up algorithms to extend localization microscopy to common biological problems.
I investigate cellular movement and motility by considering the in vitro movement of myosin-actin filaments. I show how SNAP-tag fusion proteins enable imaging with bright and stable organic fluorophores in live cells. By analyzing the internal structure of protein clusters, I show how localization microscopy can provide new quantitative approaches beyond pure imaging.
During infection, bacteria need to adapt to a changing environment and have to endure various stress conditions. Small non-coding RNAs are considered as important regulators of bacterial gene expression and so allow quick adaptations by altering expression of specific target genes. Regulation of gene expression in the human-restricted pathogen Neisseria gonorrhoeae, the causative agent of the sexually transmitted disease gonorrhoea, is only poorly understood. The present study aims a better understanding of gene regulation in N. gonorrhoeae by studying small non-coding RNAs.
The discovery of antisense RNAs for all opa genes led to the hypothesis of asRNA-mediated degradation of out-of-frame opa transcripts. Analysis of asRNA expression revealed a very low abundance of the transcripts and inclusion of another phase-variable gene in the study indicates that the asRNAs are not involved in degradation of out-of-frame transcripts.
This doctoral thesis focuses on the analysis of trans-acting sRNAs. The sibling sRNAs NgncR_162 and NgncR_163 were discovered as post-transcriptional regulators altering expression of genes involved in metabolic processes, amino acid uptake and transcriptional regulation. A more detailed analysis by in silico and transcriptomic approaches showed that the sRNAs regulate a broad variety of genes coding for proteins of central metabolism, amino acid biosynthesis and degradation and several transport processes. Expression levels of the sibling sRNAs depend on the growth phase of the bacteria and on the growth medium. This indicates that NgncR_162 and NgncR_163 are involved in the adaptation of the gonococcal metabolism to specific growth conditions.
This work further initiates characterisation of the sRNA NgncR_237. An in silico analysis showed details on sequence conservation and a possible secondary structure. A combination of in silico target prediction and differential RNA sequencing resulted in the identification of several target genes involved in type IV pilus biogenesis and DNA recombination. However, it was not successful to find induction conditions for sRNA expression. Interestingly, a possible sibling sRNA could be identified that shares the target interaction sequence with NgncR_237 and could therefore target the same mRNAs.
In conclusion, this thesis provides further insights in gene regulation by non-coding RNAs in N. gonorrhoeae by analysing two pairs of sibling sRNAs modulating bacterial metabolism or possibly type IV pilus biogenesis.