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Biochemical and molecular characterization of an original master sex determining gene in Salmonids
(2016)
Sexual development is a fundamental and versatile process that shapes animal morphology, physiology and behavior. The underlying developmental process is composed of the sex determination and the sex differentiation. Sex determination mechanisms are extremely labile among taxa. The initial triggers of the sex determination process are often genetics called sex determining genes. These genes are expressed in the bipotential gonad and tilt the balance to a developmental program allowing the differentiation of either a testis or an ovary. Fish represent a large and fascinating vertebrate group to study both sex determination and sex differentiation mechanisms. To date, among the known sex determining genes, three gene families namely sox, dmrt and TGF-β factors govern this developmental program. As exception to this rule, sdY “sexually dimorphic on the Y” does not belong to one of these families as it comes from the duplication / evolution of an ancestor gene related to immunity, i.e., the interferon related factor 9, irf9. sdY is the master sex determining gene in salmonids, a group of fishes that include species such as rainbow trout and Atlantic salmon. The present study was aimed to firstly characterize the features of SdY protein. Results indicate that SdY is predominantly localized in the cytoplasm tested in various fish and mammalian cell lines and confirmed by different methods. Predictive in silico analysis revealed that SdY is composed of a β-sandwich core surrounded by three α-helices as well specific characteristics conferring a putative protein-protein interaction site. Secondly, the study was aimed to understand how SdY could trigger testicular differentiation. SdY is a truncated divergent version of Irf9 that has a conserved protein-protein domain but lost the DNA interaction domain of its ancestor gene. It was then hypothesized that SdY could initiate testicular differentiation by protein-protein interactions. To evaluate this we first conducted a yeast-two-hybrid screen that revealed a high proportion of transcription factors including fox proteins. Using various biochemical and cellular methods we confirm an interaction between SdY and Foxl2, a major transcription factor involved in ovarian differentiation and identity maintenance. Interestingly, the interaction of SdY with Foxl2 leads to nuclear translocation of SdY from the cytoplasm. Furthermore, this SdY translocation mechanism was found to be specific to fish Foxl2 and to a lesser extend Foxl3 and not other Fox proteins or mammalian FoxL2. In addition, we found that this interaction allows the stabilization of SdY and prevents its degradation. Finally, to better decipher SdY action we used as a model a mutated version of SdY that was identified in XY females of Chinook salmon natural population. Results show that this mutation induces a local conformation defect obviously leading to a misfolded protein and a quick degradation. Moreover, the mutated version compromised the interaction with Foxl2 defining a minimal threshold to induce testicular differentiation. Altogether results from my thesis propose that SdY would trigger testicular differentiation in salmonids by preventing Foxl2 to promote ovarian differentiation. Further research should be now carried out on how this interaction of SdY and Foxl2 acts in-vivo.
Staphylococcus aureus is a prevalent commensal bacterium which represents one of the leading causes in health care-associated bacterial infections worldwide and can cause a variety of different diseases ranging from simple abscesses to severe and life threatening infections including pneumonia, osteomyelitis and sepsis.
In recent times multi-resistant strains have emerged, causing severe problems in nosocomial as well as community-acquired (CA) infection settings, especially in the United States (USA). Therefore S. aureus has been termed as a superbug by the WHO, underlining the severe health risk originating from it. Today, infections in the USA are dominated by S. aureus genotypes which are classified as USA300 and USA400, respectively. Strains of genotype USA300 are responsible for about 70% of the CA infections.
The molecular mechanisms which render S. aureus such an effective pathogen are still not understood in its entirety. For decades S. aureus was thought to be a strictly extracellular pathogen relying on pore-forming toxins like α-hemolysin to damage human cells and tissue. Only recently it has been shown that S. aureus can enter non-professional phagocytes, using adhesins like the fibronectin-binding proteins which mediate an endocytotic uptake into the host cells. The bacteria are consequently localized to endosomes, where the degradation of enclosed bacterial cells through phagosome maturation would eventually occur.
S. aureus can avoid degradation, and translocate to the cellular cytoplasm, where it can replicate. The ability to cause this so-called phagosomal escape has mainly been attributed to a family of amphiphilic peptides called phenol soluble modulins (PSMs), but as studies have shown, they are not sufficient.
In this work I used a transposon mutant library in combination with automated fluorescence microscopy to screen for genes involved in the phagosomal escape process and intracellular survival of S. aureus. I thereby identified a number of genes, including a non-ribosomal peptide synthetase (NRPS). The NRPS, encoded by the genes ausA and ausB, produces two types of small peptides, phevalin and tyrvalin. Mutations in the ausAB genes lead to a drastic decrease in phagosomal escape rates in epithelial cells, which were readily restored by genetic complementation in trans as well as by supplementation of synthetic phevalin. In leukocytes, phevalin interferes with calcium fluxes and activation of neutrophils and promotes cytotoxicity of intracellular bacteria in both, macrophages and neutrophils. Further ausAB is involved in survival and virulence of the bacterium during mouse lung pneumoniae.
The here presented data demonstrates the contribution of the bacterial cyclic dipeptide phevalin to S. aureus virulence and suggests, that phevalin directly acts on a host cell target to promote cytotoxicity of intracellular bacteria.
Characterization of a novel putative factor involved in host adaptation in Trypanosoma brucei
(2016)
Trypanosomes are masters of adaptation to different host environments
during their complex life cycle. Large-scale proteomic approaches provide information on changes at
the cellular level in a systematic way. However, a detailed work on single components is necessary
to understand the adaptation mechanisms on a molecular level. Here we have performed a detailed
characterization of a bloodstream form (BSF) stage-specific putative flagellar host adaptation
factor (Tb927.11.2400) identified previously in a SILAC-based comparative proteome study.
Tb927.11.2400 shares 38% amino acid identity with TbFlabarin (Tb927.11.2410), a procyclic form
(PCF) stage specific flagellar BAR domain protein. We named Tb927.11.2400 TbFlabarin like
(TbFlabarinL) and demonstrate that it is a result of a gene duplication event, which occurred in
African trypanosomes. TbFlabarinL is not essential for growth of the parasites under cell culture
conditions and it is dispensable for developmental differentiation from BSF to the PCF in vitro. We
generated a TbFlabarinL-specific antibody and showed that it localizes in the flagellum. The
co-immunoprecipitation experiment together with a biochemical cell fractionation indicated a dual
association of TbFlabarinL with the flagellar
membrane and the components of the paraflagellar rod.
The microbial communities that live inside the human gastrointestinal tract -the human gut
microbiome- are important for host health and wellbeing. Characterizing this new “organ”,
made up of as many cells as the human body itself, has recently become possible through
technological advances. Metagenomics, the high-throughput sequencing of DNA directly from
microbial communities, enables us to take genomic snapshots of thousands of microbes living
together in this complex ecosystem, without the need for isolating and growing them.
Quantifying the composition of the human gut microbiome allows us to investigate its
properties and connect it to host physiology and disease. The wealth of such connections was
unexpected and is probably still underestimated. Due to the fact that most of our dietary as well
as medicinal intake affects the microbiome and that the microbiome itself interacts with our
immune system through a multitude of pathways, many mechanisms have been proposed to
explain the observed correlations, though most have yet to be understood in depth.
An obvious prerequisite to characterizing the microbiome and its interactions with the host is
the accurate quantification of its composition, i.e. determining which microbes are present and
in what numbers they occur. Historically, standard practices have existed for sample handling,
DNA extraction and data analysis for many years. However, these were generally developed for
single microbe cultures and it is not always feasible to implement them in large scale
metagenomic studies. Partly because of this and partly because of the excitement that new
technology brings about, the first metagenomic studies each took the liberty to define their own
approach and protocols. From early meta-analysis of these studies it became clear that the
differences in sample handling, as well as differences in computational approaches, made
comparisons across studies very difficult. This restricts our ability to cross-validate findings of
individual studies and to pool samples from larger cohorts. To address the pressing need for
standardization, we undertook an extensive comparison of 21 different DNA extraction methods
as well as a series of other sample manipulations that affect quantification. We developed a
number of criteria for determining the measurement quality in the absence of a mock
community and used these to propose best practices for sampling, DNA extraction and library
preparation. If these were to be accepted as standards in the field, it would greatly improve
comparability across studies, which would dramatically increase the power of our inferences
and our ability to draw general conclusions about the microbiome.
Most metagenomics studies involve comparisons between microbial communities, for example
between fecal samples from cases and controls. A multitude of approaches have been proposed
to calculate community dissimilarities (beta diversity) and they are often combined with
various preprocessing techniques. Direct metagenomics quantification usually counts
sequencing reads mapped to specific taxonomic units, which can be species, genera, etc. Due to
technology-inherent differences in sampling depth, normalizing counts is necessary, for
instance by dividing each count by the sum of all counts in a sample (i.e. total sum scaling), or by
subsampling. To derive a single value for community (dis-)similarity, multiple distance
measures have been proposed. Although it is theoretically difficult to benchmark these
approaches, we developed a biologically motivated framework in which distance measures can
be evaluated. This highlights the importance of data transformations and their impact on the
measured distances.
Building on our experience with accurate abundance estimation and data preprocessing
techniques, we can now try and understand some of the basic properties of microbial
communities. In 2011, it was proposed that the space of genus level variation of the human gut
microbial community is structured into three basic types, termed enterotypes. These were
described in a multi-country cohort, so as to be independent of geography, age and other host
properties. Operationally defined through a clustering approach, they are “densely populated
areas in a multidimensional space of community composition”(source) and were proposed as a
general stratifier for the human population. Later studies that applied this concept to other
datasets raised concerns about the optimum number of clusters and robustness of the
clustering approach. This heralded a long standing debate about the existence of structure and
the best ways to determine and capture it. Here, we reconsider the concept of enterotypes, in
the context of the vastly increased amounts of available data. We propose a refined framework
in which the different types should be thought of as weak attractors in compositional space and
we try to implement an approach to determining which attractor a sample is closest to. To this
end, we train a classifier on a reference dataset to assign membership to new samples. This way,
enterotypes assignment is no longer dataset dependent and effects due to biased sampling are
minimized. Using a model in which we assume the existence of three enterotypes characterized
by the same driver genera, as originally postulated, we show the relevance of this stratification
and propose it to be used in a clinical setting as a potential marker for disease development.
Moreover, we believe that these attractors underline different rules of community assembly and
we recommend they be accounted for when analyzing gut microbiome samples.
While enterotypes describe structure in the community at genus level, metagenomic sequencing
can in principle achieve single-nucleotide resolution, allowing us to identify single nucleotide
polymorphisms (SNPs) and other genomic variants in the gut microbiome. Analysis
methodology for this level of resolution has only recently been developed and little exploration
has been done to date. Assessing SNPs in a large, multinational cohort, we discovered that the
landscape of genomic variation seems highly structured even beyond species resolution,
indicating that clearly distinguishable subspecies are prevalent among gut microbes. In several
cases, these subspecies exhibit geo-stratification, with some subspecies only found in the
Chinese population. Generally however, they present only minor dispersion limitations and are
seen across most of our study populations. Within one individual, one subspecies is commonly
found to dominate and only rarely are several subspecies observed to co-occur in the same
ecosystem. Analysis of longitudinal data indicates that the dominant subspecies remains stable
over periods of more than three years. When interrogating their functional properties we find
many differences, with specific ones appearing relevant to the host. For example, we identify a
subspecies of E. rectale that is lacking the flagellum operon and find its presence to be
significantly associated with lower body mass index and lower insulin resistance of their hosts;
it also correlates with higher microbial community diversity. These associations could not be
seen at the species level (where multiple subspecies are convoluted), which illustrates the
importance of this increased resolution for a more comprehensive understanding of microbial
interactions within the microbiome and with the host.
Taken together, our results provide a rigorous basis for performing comparative metagenomics
of the human gut, encompassing recommendations for both experimental sample processing
and computational analysis. We furthermore refine the concept of community stratification into
enterotypes, develop a reference-based approach for enterotype assignment and provide
compelling evidence for their relevance. Lastly, by harnessing the full resolution of
metagenomics, we discover a highly structured genomic variation landscape below the
microbial species level and identify common subspecies of the human gut microbiome. By
developing these high-precision metagenomics analysis tools, we thus hope to contribute to a
greatly improved understanding of the properties and dynamics of the human gut microbiome.
The rotation of the earth around its own axis determines periodically changing environmental conditions, like alterations in light and temperature. For the purpose of adapting all organisms’ behavior, physiology and metabolism to recurring changes, endogenous clocks have evolved, which allow the organisms to anticipate environmental changes. In chronobiology, the scientific field dealing with the investigation of the underlying mechanisms of the endogenous clock, the fruit fly Drosophila melanogaster serves as a beneficial model organism. The fruit fly’s circadian clock exhibits a rather simple anatomical organization, but nevertheless constitutes homologies to the mammalian system. Thus also in this PhD-thesis the fruit fly was used to decipher general features of the circadian clock’s interneuronal communication.
Drosophila melanogaster’s circadian clock consists of about 150 clock neurons, which are located in the central nervous system of the fly. These clock neurons can be subdivided regarding to their anatomical position in the brain into the dorsal neurons (DN1s, DN2s, DN3s), as well as into the lateral neurons (LPNs, LNds, s-LNvs, l-LNvs). Functionally these clock neuron clusters can be classified as Morning- and Evening oscillators (M- and E- oscillators), driving different parts of the fly’s locomotor activity in light-dark conditions (LD). The Morning-oscillators are represented by the s-LNvs and are known to be the main pacemakers, driving the pace of the clock in constant conditions (constant darkness; DD). The group of Evening-oscillators consists of the LNds, the DN1s and the 5th s-LNv and is important for the proper timing of the evening activity in LD. All of these clock neurons are not functionally independent, but form complex neuronal connections, which are highly plastic in their response to different environmental stimuli (Zeitgebers), like light or temperature.
Even though a lot is known about the function and the importance of some clock neuron clusters, the exact interplay between the neurons is not fully known yet. To investigate the mechanisms, which are involved in communication processes among different clock neurons, we depolarized specific clock cells in a temporally and cell-type restricted manner using dTrpA1, a thermosensitive cation channel, which allows the depolarization of neurons by application of temperature pulses (TP) above 29°C to the intact and freely moving fly. Using different clock specific GAL4-driver lines and applying TPs at different time points within the circadian cycle in DD enabled us with the help of phase shift experiments to draw conclusions on the properties of the endogenous clock. The obtained phase shifts in locomotor behavior elicited by specific clock neuronal activation were plotted as phase response curves (PRCs).
The depolarization of all clock neurons shifted the phase of activity the strongest, especially in the delay zone of the PRC. The exclusive depolarization of the M oscillators together with the l-LNvs (PDF+ neurons: s-LNvs & l-LNvs) caused shifts in the delay and in the advance zone as well, however the advances were severely enhanced in their temporal occurrence ranging into the subjective day. We concluded that light might have inhibitory effects on the PDF+ cells in that particular part of the PRC, as typical light PRCs do not exhibit that kind of distinctive advances. By completely excluding light in the PRC-experiments of this PhD-thesis, this photic inhibitory input to the PDF+ neurons is missing, probably causing the broadened advance zone. These findings suggest the existence of an inhibitory light-input pathway to the PDF+ cells from the photoreceptive organs (Hofbauer-Buchner eyelet, photoreceptor cells of compound eyes, ocelli) or from other clock neurons, which might inhibit phase advances during the subjective day.
To get an impression of the molecular state of the clock in the delay and advance zone, staining experiments against Period (PER), one of the most important core clock components, and against the neuropeptide Pigment Dispersing Factor (PDF) were performed. The cycling of PER levels mirrored the behavioral phase shifts in experimental flies, whereas the controls were widely unaffected. As just those neurons, which had been depolarized, exhibited immediate shifted PER oscillations, this effect has to be rapidly regulated in a cell-autonomous manner.
However, the molecular link between clock neuron depolarization and shifts in the molecular clock’s cycling is still missing. This issue was addressed by CREB (cAMP responsive element binding protein) quantification in the large ventrolateral neurons (l-LNvs), as these neurons responded unexpectedly and strongest to the artificial depolarization exhibiting a huge increase in PER levels. It had been previously suggested that CREB is involved in circadian rhythms by binding to regulatory sequences of the period gene (Belvin et al., 1999), thus activating its transcription. We were able to show, that CREB levels in the l-LNvs are under circadian regulation, as they exhibit higher CREB levels at the end of the subjective night relative to the end of the subjective day. That effect was further reinforced by artificial depolarization, independently of the time point of depolarization. Furthermore the data indicate that rises in CREB levels are coinciding with the time point of increases of PER levels in the l-LNvs, suggesting CREB being the molecular link between the neuronal electrical state and the molecular clock.
Taking together, the results indicate that a temporal depolarization using dTrpA1 is able to significantly phase shift the clock on the behavioral and protein level. An artificial depolarization at the beginning of the subjective night caused phase delays, whereas a depolarization at the end of the subjective night resulted in advances. The activation of all clock neurons caused a PRC that roughly resembled a light-PRC. However, the depolarization of the PDF+ neurons led to a PRC exhibiting a shape that did not resemble that of a light-mediated PRC, indicating the complex processing ability of excitatory and inhibitory input by the circadian clock. Even though this experimental approach is highly artificial, just the exclusion of light-inputs enabled us to draw novel conclusions on the network communication and its light input pathways.
The Venus flytrap, \textit{Dionaea muscipula}, with its carnivorous life-style and its highly
specialized snap-traps has fascinated biologist since the days of Charles Darwin. The
goal of the \textit{D. muscipula} genome project is to gain comprehensive insights into the
genomic landscape of this remarkable plant.
The genome of the diploid Venus flytrap with an estimated size between 2.6 Gbp to
3.0 Gbp is comparatively large and comprises more than 70 % of repetitive regions.
Sequencing and assembly of genomes of this scale are even with state-of-the-art
technology and software challenging. Initial sequencing and assembly of the genome
was performed by the BGI (Beijing Genomics Institute) in 2011 resulting in a 3.7 Gbp
draft assembly. I started my work with thorough assessment of the delivered assembly
and data. My analysis showed that the BGI assembly is highly fragmented and
at the same time artificially inflated due to overassembly of repetitive sequences.
Furthermore, it only comprises about on third of the expected genes in full-length,
rendering it inadequate for downstream analysis.
In the following I sought to optimize the sequencing and assembly strategy to obtain
an assembly of higher completeness and contiguity by improving data quality and
assembly procedure and by developing tailored bioinformatics tools. Issues with
technical biases and high levels of heterogeneity in the original data set were solved
by sequencing additional short read libraries from high quality non-polymorphic DNA
samples. To address contiguity and heterozygosity I examined numerous alternative
assembly software packages and strategies and eventually identified ALLPATHS-LG
as the most suited program for assembling the data at hand. Moreover, by utilizing
digital normalization to reduce repetitive reads, I was able to substantially reduce
computational demands while at the same time significantly increasing contiguity of
the assembly.
To improve repeat resolution and scaffolding, I started to explore the novel PacBio
long read sequencing technology. Raw PacBio reads exhibit high error rates of 15 %
impeding their use for assembly. To overcome this issue, I developed the PacBio
hybrid correction pipeline proovread (Hackl et al., 2014). proovread uses high
coverage Illumina read data in an iterative mapping-based consensus procedure to
identify and remove errors present in raw PacBio reads. In terms of sensitivity and
accuracy, proovread outperforms existing software. In contrast to other correction
programs, which are incapable of handling data sets of the size of D. muscipula
project, proovread’s flexible design allows for the efficient distribution of work load on high-performance computing clusters, thus enabling the correction of the Venus
flytrap PacBio data set.
Next to the assembly process itself, also the assessment of the large de novo draft
assemblies, particularly with respect to coverage by available sequencing data, is
difficult. While typical evaluation procedures rely on computationally extensive
mapping approaches, I developed and implemented a set of tools that utilize k-mer
coverage and derived values to efficiently compute coverage landscapes of large-scale
assemblies and in addition allow for automated visualization of the of the obtained
information in comprehensive plots.
Using the developed tools to analyze preliminary assemblies and by combining my
findings regarding optimizations of the assembly process, I was ultimately able to
generate a high quality draft assembly for D. muscipula. I further refined the assembly
by removal of redundant contigs resulting from separate assembly of heterozygous
regions and additional scaffolding and gapclosing using corrected PacBio data. The
final draft assembly comprises 86 × 10 3 scaffolds and has a total size of 1.45 Gbp.
The difference to the estimated genomes size is well explained by collapsed repeats.
At the same time, the assembly exhibits high fractions full-length gene models,
corroborating the interpretation that the obtained draft assembly provides a complete
and comprehensive reference for further exploration of the fascinating biology of the
Venus flytrap.
A large fraction of human tumors exhibits aberrant expression of the oncoprotein MYC. As a transcription factor regulating various cellular processes, MYC is also crucially involved in normal development. Direct targeting of MYC has been a major challenge for molecular cancer drug discovery. The proof of principle that its inhibition is nevertheless feasible came from in vivo studies using a dominant-negative allele of MYC termed OmoMYC. Systemic expression of OmoMYC triggered long-term tumor regression with mild and fully reversible side effects on normal tissues.
In this study, OmoMYC’s mode of action was investigated combining methods of structural biology and functional genomics to elucidate how it is able to preferentially affect oncogenic functions of MYC.
The crystal structure of the OmoMYC homodimer, both in the free and the E-box-bound state, was determined, which revealed that OmoMYC forms a stable homodimer, and as such, recognizes DNA via the same base-specific DNA contacts as the MYC/MAX heterodimer. OmoMYC binds DNA with an equally high affinity as MYC/MAX complexes. RNA-sequencing showed that OmoMYC blunts both MYC-dependent transcriptional activation and repression. Genome-wide DNA-binding studies using chromatin immunoprecipitation followed by high-throughput sequencing revealed that OmoMYC competes with MYC/MAX complexes on chromatin, thereby reducing their occupancy at consensus DNA binding sites. The most prominent decrease in MYC binding was seen at low-affinity promoters, which were invaded by MYC at oncogenic levels. Strikingly, gene set enrichment analyses using OmoMYC-regulated genes enabled the identification of tumor subgroups with high MYC levels in multiple tumor entities. Together with a targeted shRNA screen, this identified novel targets for the eradication of MYC-driven tumors, such as ATAD3A, BOP1, and ADRM1.
In summary, the findings suggest that OmoMYC specifically inhibits tumor cell growth by attenuating the expression of rate-limiting proteins in cellular processes that respond to elevated levels of MYC protein using a DNA-competitive mechanism. This opens up novel strategies to target oncogenic MYC functions for tumor therapy.
The evolutionary success of insects is believed to be at least partially facilitated by symbioses between insects and prokaryotes. Bacterial endosymbionts confer various fitness advantages to their hosts, for example by providing nutrients lacking from the insects’ diet thereby enabling the inhabitation of new ecological niches. The Florida carpenter ant Camponotus floridanus harbours endosymbiotic bacteria of the genus Blochmannia. These primary endosymbionts mainly reside in the cytoplasm of bacteriocytes, specialised cells interspersed into the midgut tissue, but they were also found in oocytes which allows their vertical transmission. The social lifestyle of C. floridanus may facilitate the rapid spread of infections amongst genetically closely related animals living in huge colonies. Therefore, the ants require an immune system to efficiently combat infections while maintaining a “chronic” infection with their endosymbionts.
In order to investigate the immune repertoire of the ants, the Illumina sequencing method was used. The previously published genome sequence of C. floridanus was functionally re-annotated and 0.53% of C. floridanus proteins were assigned to the gene ontology (GO) term subcategory “immune system process”. Based on homology analyses, genes encoding 510 proteins with possible immune function were identified. These genes are involved in microbial recognition and immune signalling pathways but also in cellular defence mechanisms, such as phagocytosis and melanisation. The components of the major signalling pathways appear to be highly conserved and the analysis revealed an overall broad immune repertoire of the ants though the number of identified genes encoding pattern recognition receptors (PRRs) and antimicrobial peptides (AMPs) is comparatively low. Besides three genes coding for homologs of thioester-containing proteins (TEPs), which have been shown to act as opsonins promoting phagocytosis in other insects, six genes encoding the AMPs defesin-1 and defensin-2, hymenoptaecin, two tachystatin-like peptides and one crustin-like peptide are present in the ant genome. Although the low number of known AMPs in comparison to 13 AMPs in the honey bee Apis mellifera and 46 AMPs in the wasp Nasonia vitripennis may indicate a less potent immune system, measures summarised as external or social immunity may enhance the immune repertoire of C. floridanus, as it was discussed for other social insects. Also, the hymenoptaecin multipeptide precursor protein may be processed to yield seven possibly bioactive peptides. In this work, two hymenoptaecin derived peptides were heterologously expressed and purified. The preliminary antimicrobial activity assays indicate varying bacteriostatic effects of different hymenoptaecin derived peptides against Escherichia coli D31 and Staphylococcus aureus which suggests a functional amplification of the immune response further increasing the antimicrobial potency of the ants.
Furthermore, 257 genes were differentially expressed upon immune challenge of C. floridanus and most of the immune genes showing differential expression are involved in recognition of microbes or encode immune effectors rather than signalling components. Additionally, genes coding for proteins involved in storage and metabolism were downregulated upon immune challenge suggesting a trade-off between two energy-intensive processes in order to enhance effectiveness of the immune response. The analysis of gene expression via qRT-PCR was used for validation of the transcriptome data and revealed stage-specific immune gene regulation. Though the same tendencies of regulation were observed in larvae and adults, expression of several immune-related genes was generally more strongly induced in larvae. Immune gene expression levels depending on the developmental stage of C. floridanus are in agreement with observations in other insects and might suggest that animals from different stages revert to individual combinations of external and internal immunity upon infection.
The haemolymph proteome of immune-challenged ants further established the immune-relevance of several proteins involved in classical immune signalling pathways, e.g. PRRs, extracellularly active proteases of the Toll signalling pathway and effector molecules such as AMPs, lysozymes and TEPs. Additionally, non-canonical proteins with putative immune function were enriched in immune-challenged haemolymph, e.g. Vitellogenins, NPC2-like proteins and Hemocytin. As known from previous studies, septic wounding also leads to the upregulation of genes involved in stress responses. In the haemolymph, proteins implicated in protein stabilisation and in the protection against oxidative stress and insecticides were enriched upon immune challenge. In order to identify additional putative immune effectors, haemolymph peptide samples from immune-challenged larvae and adults were analysed. The analysis in this work focussed on the identification of putative peptides produced via the secretory pathway as previously described for neuropeptides of C. floridanus. 567 regulated peptides derived from 39 proteins were identified in the larval haemolymph, whereas 342 regulated peptides derived from 13 proteins were found in the adult haemolymph. Most of the peptides are derived from hymenoptaecin or from putative uncharacterised proteins. One haemolymph peptide of immune-challenged larvae comprises the complete amino acid sequence of a predicted peptide derived from a Vitellogenin. Though the identified peptide lacks similarities to any known immune-related peptide, it is a suitable candidate for further functional analysis.
To establish a stable infection with the endosymbionts, the bacteria have to be transmitted to the next generation of the ants. The vertical transmission of B. floridanus is guaranteed by bacterial infestation of oocytes. This work presents the first comprehensive and detailed description of the localisation of the bacterial endosymbionts in C. floridanus ovaries during oogenesis. Whereas the most apical part of the germarium, which contains the germ-line stem cells, is not infected by the bacteria, small somatic cells in the outer layers of each ovariole were found to be infected in the lower germarium. Only with the beginning of cystocyte differentiation, endosymbionts are exclusively transported from follicle cells into the growing oocytes, while nurse cells were never infected with B. floridanus. This infestation of the oocytes by bacteria very likely involves exocytosis-endocytosis processes between follicle cells and the oocytes. A previous study suggested a down-modulation of the immune response in the midgut tissue which may promote endosymbiont tolerance. Therefore, the expression of several potentially relevant immune genes was analysed in the ovarial tissue by qRT-PCR. The relatively low expression of genes involved in Toll and IMD signalling, and the high expression of genes encoding negative immune regulators, such as PGRP-LB, PGRP-SC2, and tollip, strongly suggest that a down-modulation of the immune response may also facilitate endosymbiont tolerance in the ovaries and thereby contribute to their vertical transmission.
Overall, the present thesis improves the knowledge about the immune repertoire of C. floridanus and provides new candidates for further functional analyses. Moreover, the involvement of the host immune system in maintaining a “chronic” infection with symbiotic bacteria was confirmed and extended to the ovaries.
Finding the right behavior at the right time is one of the major tasks of brains. In a natural scenery there is often an abundance of stimuli present and the brain has to separate the relevant from the irrelevant ones. Selective visual attention (SVA) is a property of higher visual systems that achieves this separation, as it allows to ‘[…] focus on one source of sensory input to the exclusion of others’ (Luck and Mangun, 1996). There are probably several forms of SVA depending upon the criteria used for the separation, such as salience, color, location in space, novelty, or motion. Many studies have investigated SVA in humans and non-human primates. However, complex functions like attention were initially not expected to be already implemented in the brains of simple organisms like Drosophila. After a first demonstration of selective attention in the fly (Wolf and Heisenberg, 1980), it took some time until other studies included attentional mechanisms in their argumentation to explain certain behaviors of Drosophila. However, their definition and characterization of attention differed and often was ambiguous.
Here, one particular form, spatially selective visual attention in the fly Drosophila is investigated. It has been shown earlier that the fly spontaneously may restrict its behavioral responses in stationary flight to the visual stimuli on one side of the visual field. On the basis of experiments of Sareen et al., (2011) it has been conjectured that the fly has a focus of attention (FoA) and that the fly responds to the visual stimuli within this area of the visual field. Whether the FoA is the adequate concept for this spatial property of SVA in the fly needs to be further discussed and is a subject also of the present study. At this stage, the concept will be used in the description of the new results expanding the characterization of SVA.
This study continued the investigation of SVA during tethered flight with variable but controlled visual input and an automated primary data evaluation. This standardized paradigm allowed for analysis of wild-type behavior as well as for a comparison of several mutant and pharmacologically manipulated strains to the wild-type. Some properties of human SVA like the occurrence of externally as well as internally caused shifts of attention were found in Drosophila and it could be shown, that SVA in the fly can be externally guided and has an attention span. Additionally, a neurotransmitter and proteins, which play a significant role in SVA were discovered. Based on this, the genetic tools available for Drosophila provided the means to a first examination of cells and circuits involved in SVA. Finally, the free walk behavior of flies that had been shown to have compromised SVA was characterized. The results suggested that the observed phenotypes of SVA were not behavior specific.
Covert shifts of the FoA were investigated. The FoA can be externally guided by visual cues to one or the other side of the visual field and even after the cue has disappeared it remains there for <4s. An intriguing finding of this study is the fact, that the quality of the cue determines whether it is attractive or repellent. For example a cue can be changed from being repellent (negative) to being attractive (positive) by changing its oscillation amplitude from 4° to 2°. Testing the effectiveness of cues in the upper and lower visual field separately, revealed that the perception of a cue by the fly is not exclusively based on a sum of its specifications. Because positive cueing did not have an after-effect in each of the two half-fields alone, but did so if the cue was shown in both, the fly seems to evaluate the cue for each combination of parameters specifically. Whether this evaluation of the cue changed on a trial-to-trial basis or if the cue in some cases failed to shift the FoA can at this point not be determined.
Looking at the responses of the fly to the displacement of a black vertical stripe showed that they can be categorized as no responses, syn-directional responses (following the direction of motion of the stripe) and anti-directional responses (in the opposite direction of the motion of the stripe). The yaw-torque patterns of the latter bared similarities with spontaneous body saccades and they most likely represented escape attempts of the fly. Syn-directional responses, however, were genuine object responses, distinguishable by a longer latency until they were elicited and a larger amplitude. These properties as well as the distribution of response polarities were not influenced by the presence or absence of a cue. When two stripes were displaced simultaneously in opposite directions the rate of no responses increased in comparison to the displacement of a single stripe. If one of the stripes was cued, both, the responses towards and away from the side of cue resembled the syn-directional responses.
Significant progress was made with the elucidation of the neuronal underpinnings of SVA. Ablation of the mushroom bodies (MB) demonstrated their requirement for SVA. Furthermore, it was shown that dopamine signaling has to be balanced between too much and too little. Either inhibiting the synthesis of dopamine or its re-uptake at the synapse via the dDAT impaired the flies’ susceptibility to cueing. Using the Gal4/UAS system, cell specific expression or knockdown of the dDAT was used to scrutinize the role of MB sub-compartments in SVA. The αβ-lobes turned out to be necessary and sufficient to maintain SVA. The Gal4-line c708a labels only a subset of Kenyon cells (KC) within the αβ-lobes, αβposterior. These cells stand out, because of (A) the mesh-like arrangement of their fibers within the lobes and (B) the fact that unlike the other KCs they bypass the calyx and thereby the main source of olfactory input to the MBs, forming connections only in the posterior accessory calyx (Tanaka et al., 2008). This structure receives no or only marginal olfactory input, suggesting for it a role in tasks other than olfaction. This study shows their requirement in a visual task by demonstrating that they are necessary to uphold SVA. Restoring dDAT function in these approximately only 90 cells was probably insufficient to lower the dopamine concentration at the relevant synapses and hence a rescue failed. Alternatively, the processes mediating SVA at the αβ-lobes might require an interplay between all of their KCs. In conclusion, the results provide an initial point for future research to fully understand the localization of and circuitry required for SVA in the brain.
In the experiments described so far, attention has been externally guided. However, flies are also able to internally shift their FoA without any cues from the outside world. In a set of 60 consecutive simultaneous displacements of two stripes, they were more likely to produce a response with the same polarity as the preceding one than a random polarity selection predicted. This suggested a dwelling of the FoA on one side of the visual field. Assuming that each response was influenced by the previous one in a way that the probability to repeat the response polarity was increased by a certain factor (dwelling factor, df), a random selection of response type including a df was computed. Implementation of the df removed the difference between observed probability of polarity repetition and the one suggested by random selection. When the interval between displacements was iteratively increased to 5s, no significant df could be detected anymore for pauses longer than 4s. In conclusion, Drosophila has an attention span of approximately 4s. Flies with a mutation in the radish gene expressed no after-effect of cueing and had a shortened attention span of about 1s. The dDAT inhibitor methylphenidate is able to rescue the first, but does not affect the latter phenotype. Probably, radish is differently involved in the two mechanisms.
This study showed, that endogenous (covert) shifts of spatially selective visual attention in the fly Drosophila can be internally and externally guided. The variables determining the quality of a cue turned out to be multifaceted and a more systematic approach is needed for a better understanding of what property or feature of the cue changes the way it is evaluated by the fly. A first step has been made to demonstrate that SVA is a fundamental process and compromising it can influence the characteristics of other behaviors like walking. The existence of an attention span, the dependence of SVA on dopamine as well as the susceptibility to pharmacological manipulations, which in humans are used to treat respective diseases, point towards striking similarities between SVA in humans and Drosophila.
Identifying novel driver genes in cancer remains a crucial step towards development of new therapeutic approaches and the basic understanding of the disease.
This work describes the impact of the AP1 transcription activator component FOSL1 on melanoma maintenance. FOSL1 is strongly upregulated during the progression of melanoma and the protein abundance is highest in metastases. I found that the regulation of FOSL1 is strongly dependent on ERK1/2- and PI3K- signaling, two pathways frequently activated in melanoma. Moreover, the involvement of p53 in FOSL1 regulation in melanoma was investigated. Elevated levels of the tumor suppressor led to decreased FOSL1 protein levels in a miR34a/miR34c- dependent manner.
The benefit of elevated FOSL1 amounts in human melanoma cell lines was analyzed by overexpression of FOSL1 in cell lines with low endogenous FOSL1 levels. Enhanced levels of FOSL1 had several pro-tumorigenic effects in human melanoma cell lines. Besides increased proliferation and migration rates, FOSL1 overexpression induced the colony forming ability of the cells. Additionally, FOSL1 was necessary for anchorage independent growth in 3D cell cultures. Microarray analyses revealed novel downstream effectors of FOSL1. On the one hand, FOSL1 was able to induce the transcription of different neuron-related genes, such as NEFL, NRP1 and TUBB3. On the other hand, FOSL1 influenced the transcription of DCT, a melanocyte specific gene, in dependence of the differentiation of the melanoma cell line, indicating dedifferentiation.
Furthermore, FOSL1 induced the transcription of HMGA1, a chromatin remodeling protein with reprogramming ability, which is characteristic for stem cells. Consequently, the influence of HMGA1 on melanoma maintenance was investigated. In addition to decreased proliferation and reduced anoikis resistance, HMGA1 knockdown reduced melanoma cell survival. Interestingly, the FOSL1 induced pro-tumorigenic effects were demonstrated to be dependent on the HMGA1 level. HMGA1 manipulation reversed FOSL1 induced proliferation and colony forming ability, as well as the anchorage independent growth effect.
In conclusion, I could show that additional FOSL1 confers a clear growth benefit to melanoma cells. This benefit is attributed to the induction of stem cell determinants, but can be blocked by the inhibition of the ERK1/2 or PI3K signaling pathways.