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The rapid anthropogenic climate change that is projected for the 21st century is predicted to have severe impacts on ecosystems and on the provision of ecosystem services. With respect to the longevity of trees, forestry in particular has to adapt now to future climate change. This requires profound multidisciplinary knowledge on the direct and indirect climate sensitivity of forest ecosystems on various spatial scales. Predictions on growth declines due to increasing drought exposition during climate change are widely recognized for European beech (Fagus sylvatica L.), which is the major forest tree in European temperate deciduous forests. However, research from other continents or other biomes has shown that winter climate change may also affect forest growth dynamics due to declining snow cover and increased soil cooling. So far, this winter cold sensitivity is largely unexplored in Europe. Thus, particularly focussing on forest growth dynamics and winter cold sensitivity, the goal of this PhD-project was to explore how climate sensitivity of forest ecosystems differs regionally. By doing so, the project aimed to deliver insights about possibilities and limits of upscaling regional knowledge to a global understanding of climate sensitivity. To achieve these goals, this PhD-project integrated five studies (Manuscripts 1–5) that investigated the climate sensitivity of biogeochemical cycles, plant species composition in forests, and forest growth dynamics across spatial scales. In particular, a large-scale gradient-design field experiment simulated the influence of winter climate change on forest ecosystems by snow cover and soil temperature manipulations (Manuscript 1). This study indicated that soil cooling and decreased root nutrient uptake may indirectly reduce growth of adult forest trees. Moreover, this study indicated uniform ecological sensitivity to soil temperature changes across sites along a large winter temperature gradient (ΔT = 4 K across 500 km), irrespective of the site-specific history of snow cover conditions, which motivates upscaling from local winter climate change studies to the regional scale. Although regional climate drives growth of adult forest trees, local factors, such as site-specific edaphic conditions, might control plants in the forest understory. This assumption was tested by mapping the forest understory composition along the same winter temperature gradient as introduced above (Manuscript 2). Across sites, this study found that edaphic conditions explained the spatial turnover in the forest understory composition more than climate, which might moderate direct climate change impacts on the forest understory composition. However, edaphic conditions, forest structure, and climate are linked by triangular interactions. Thus, climate change might still indirectly affect the forest vegetation dynamics. Moreover, a dendroecological study focussed on the same winter temperature gradient from central to cold-marginal beech populations as above in order to identify gradual changes in summer drought and winter cold sensitivity in tree growth (Manuscript 3). Towards the cold distribution margin, the influence of drought on tree growth gradually decreased, while growth reductions were increasingly related to winter cold due to harsher winter climate. By a large-scale dendroecological network study assessed the relationship of growth dynamics to climate and reproductive effort in beech forests across Europe (Manuscript 4). Indeed, this study found the general pattern across the distribution range of beech that high temperature controlled growth indirectly via resource allocation to reproduction. However, the strong, direct drought signal that could be generally detected from dry-marginal to central populations vanished towards the cold-marginal populations, where the more focussed study of Manuscript 3 identified a stronger relationship of tree growth to winter cold. Further extending the scope of this PhD-thesis to global scales, litter decomposition rates were assessed across biomes (Manuscript 5). This study found a robust relationship between climate and decomposition rates, but it also demonstrated large within-biome variability on a local scale. These local scale differences might depend on habitat conditions that, in turn, could be modulated by climate change, which calls for a better exploration of indirect climate sensitivity. In conclusion, this PhD-thesis highlighted that multidisciplinary research can advance the understanding of ecological interactions in forest ecosystems under changing climate scenarios. In this PhD-project, a winter climate change experiment, where site-representative target trees were selected by means of dendroecology, contributed to a mechanistic understanding of winter cold sensitivity in forest growth dynamics. Dendroecological investigations then put the findings in a broader temporal and spatial context by describing local climate sensitivity of tree growth on different spatial scales. This thesis further shows that global generalizations about the relationship of climate and ecological processes in ecosystem models have to be critically reviewed for the need of local and regional adjustment because these processes might experience considerable regional- or local-scale variation. However, this thesis reports uniform sensitivity of ecological processes to altered winter soil temperature regimes across a large winter temperature gradient. Thus, upscaling from insights of previous winter climate change experiments to regional scales is encouraged.
Streptococcus pneumoniae is a commensal of the human upper respiratory tract and
the etiological agent of several life-threatening diseases. This pathogen is the model bacterium
for natural competence. Furthermore, the pneumococci played an important role in the
identification of DNA as the main molecule involved in bacterial transformation. As a result,
studies on the pneumococcal genome provided an initial overview of the genetic potential of
this pathogen. The pneumococcus is a highly versatile bacterium possessing a high rate of
uptake and recombination of exogenous DNA from neighboring bacteria. As such, a significant
diversity in the genome content among the different pneumococcal strains has been reported.
The capsular polysaccharide, an important pneumococcal virulence factor, is the best example
on the pneumococcal diversity. There are over 98 serotypes characterized to date presenting
differences in their capsule (cps) locus. Additional to the cps locus, the pneumococcus also
presents 13 genomic islets annotated as regions of diversity (RD) encoded in the auxiliary
genome. Remarkably, 8 of the pneumococcal RD studied so far have been associated with
virulence. Furthermore, the ongoing sequencing of over 4000 pneumococcal genomes have
shed light on the conservation level of well-known pneumococcal virulence factors.
Interestingly, important pneumococcal virulence determinants show variations in the gene and
protein sequence among the different strains. Prototypes are for example the pneumococcal
surface protein C (PspC) and pneumococcal adherence and virulence factor B (PavB).
Conversely, gene regulation in S. pneumoniae is carried out by highly conserved and genome-
wide distributed transcriptional factors. Overall, the pneumococci interplays with its
environment with 4 major regulatory systems: quorum sensing (QS), stand-alone
transcriptional regulators, small RNAs (sRNAs) and two-component regulatory systems (TCS).
Some of these systems are multifaceted and share more than one feature. Furthermore, there
is crosstalk among the different systems, requiring the activation of a signaling cascade to
function properly.
A comprehensive analysis of the distribution and conservation of pneumococcal
virulence factors and TCS was obtained in this study. The results are summarized as a
simplified variome in which 25 pneumococcal strains with a complete sequenced genome were
analyzed. Interestingly, the genes encoding the glycolytic protein enolase and the toxin
pneumolysin were the most conserved virulence determinants. Additionally, the high level of
conservation was confirmed for the pneumococcal TCS regulators, especially for WalKR,
CiaRH and TCS08.
The main focus of this study was on the regulatory functions of pneumococcal TCS.
With this in mind, an extensive and detailed systematic review of the 13 pneumococcal TCS
and its orphan RR was undertaken. For this purpose, every pneumococcal TCS was analyzed
for its reported functional and structural information along with its contribution to the main
pathophysiology of the pneumococci. In brief, S. pneumoniae can utilize its TCS for the
regulation of important cellular processes and the sensing of detectable signals in the
environment. Additionally, the role of TCS in pneumococcal processes and signal sensing can
be divided further. In the first place, pneumococcal TCS regulate competence and fratricide,
the production of bacteriocins and host-pathogen interaction processes, while the detectable
signals include cell-wall perturbations, environmental stress, and nutrients. As a conclusion
from this section, it is possible to analyze the pneumococcal TCS in a comprehensive manner.
There is a complex network among the different pneumococcal regulators and the TCS play
an important role. Moreover, these systems are highly conserved and essential for the proper
functioning of the pneumococcus as a pathogen.
Following up on pneumococcal TCS, this study focused especially on the TCS08.
Interestingly, the pneumococcal TCS08 has been previously associated with the regulation of the cellobiose metabolism. Furthermore, this system has also been reported to regulate the
expression of genes encoded in the RD4 (Pilus-1). Remarkably, the pneumococcal TCS08
was shown to be highly homologous to the SaeRS system of Staphylococcus aureus. Initially,
mutant strains lacking a single (Δrr08 or Δhk08) or both components (Δtcs08) of the TCS08
were generated in pneumococcal D39 and TIGR4 strains. Transcriptomics and functional
assays showed a downregulation of the PI-1 in the absence of the complete tcs08, while PavB
presented an upregulation in the Δhk08 knockout. Moreover, an important number of genes
coding for intermediary metabolism proteins were also found to be differentially expressed by
microarray analysis. As such, the TIGR4Δhk08 strain presented a downregulation for the
cellobiose operon (cel). In contrast, an upregulation was reported for the fatty acid biosynthesis
(fab) and arginine catabolism (arc) operons. Conversely, a decrease in gene expression was
seen in the TIGR4Δrr08 strain for the arc operon. Finally, in vivo murine pneumonia and sepsis
models highlighted an involvement of TCS08 in pneumococcal virulence. Remarkably, the
different TCS08 mutants presented a strain dependent effect on their virulence severity. The
TIGR4Δrr08, and all TCS08 mutants in D39 showed a decrease in virulence in the pneumonia
model, with no changes in sepsis. Conversely, the absence of HK08 in TIGR4 presented a
highly virulent phenotype in both pneumonia and sepsis models. To sum up, the pneumococcal
TCS08 influenced the expression of genes involved in fitness and colonization. Specifically,
those coding for the adhesins PavB and PI-1 and fitness proteins from the cel, arc and fab
operons. Remarkably, the highest changes in expression were observed in the strains lacking
the HK08. Additionally, TCS08 has a strain dependent impact on pneumococcal virulence as
showed by murine pneumonia and sepsis models when comparing the effects in D39 and
TIGR4.
This work study a monolayer of branched poly(ethyleneimine (PEI) adsorbed onto oppositely charged surfaces with iron chelates or iron ions in the absorption solution. The conformation of adsorbed PEI is explored in the dependence of the composition of the adsorption solution by measuring the surface forces using atomic force microscopy (AFM) with the colloidal probe (CP) at different ionic strengths (INaCl) in surrounding aqueous solution. The surface coverage of these layers is investigated using X-ray reflectivity.
PEI solutions show different pH values with iron chelates (pH = 3), iron ions (pH = 4.67) or pure water (pH = 9.3) at room temperature. Low surface coverage of PEI at pH = 3 adjusted by monovalent ions was also observed. However, adsorbing PEI with iron ions or iron chelates and washing with pure water shifts the pH, leading to an adsorbed PEI layer with high coverage. In our observation, the influence of iron ions and iron chelates on the surface coverage of PEI film is stronger than the pH effect. PEI adsorbed from a pure water solution shows flat conformation. Surface force measurements with CP show that PEI adsorbed from solutions containing iron chelates or iron ions cause almost identical steric forces. The thickness of the brush L is determined as a function of the ionic INaCl in the measuring solution. It scales as a polyelectrolyte brush.
The maximum number density of gold nanoparticles (AuNPs) adsorbed onto the PEI brushes was identical and larger than on flatly adsorbed PEI. On the PEI layer with the larger surface coverage, the AuNPs aggregate; on the PEI layer with the lower surface coverage they do not aggregate. Taken together, these results contribute to understanding the mechanisms determining surface coverage and conformation of PEI and demonstrate the possibility of controlling surface properties, which is highly desirable for potential future applications.
In this thesis, we also investigate the top layer (PSS and PDADMA) of polyelectrolyte multilayer (PEM) films. PEM films were prepared by sequential adsorption of oppositely charged PEs on solid substrates. PEM films consist of polydiallyldimethylammonium (PDADMA) as polycation and the polystyrene sulfonate (PSS) as polyanion. PDADMA has a smaller linear charge density than PSS. For this system, two different growth regimes are known: parabolic and linear. I studied the top layer (PSS and PDADMA) conformation of PEM films and how the structure of this top layer is affected by increasing the number of PDADMA/PSS layer pairs N and the addition of salt to the surrounding solution.
The INaCl was changed during the force-distance measurements. PSS terminated films always show electrostatic forces at INaCl < 0.1 M and flat conformation. The surface charge density is always negative at INaCl < 0.1 M. The surface charge of the PSS top layer starts to turn from negative to positive at N ≥ 14. At N between 13 and 15, adsorbed PSS cannot compensate all the excess PDADMA charge. This leads to an accumulation of the positive extrinsic sites within the PSS terminated film beyond a specific N. At INaCl ≈ 0.1 M, an exponential decaying force was measured. This is an indication of unusual long-ranged hydration force (decay length λ-1 ≈ 0.2-0.5 nm), and PSS terminated film shows zwitterionic or neutral surface. At INaCl > 0.1 M, a non-electrostatic action occurs and the PSS terminated film reswells in solution.
PDADMA terminated surface consisting of few layers show a flat conformation and the electrostatic forces were measured. For N ≥ 9 and INaCl ≤ 0.1 M, steric forces were measured. The force-distance profiles are well-explained by Alexander and de Gennes theory. PDADMA chains show a maximum L that is around 40-45 % of the contour length. For INaCl ≈ 0.1 M, and N > 9, a flat, neutral or zwitterionic surface is found (λ-1 ≈ 0.3-0.9 nm). For N = 9 and INaCl > 0.1 M, a strong screening of electrostatic interaction and attractive forces are observed. For N > 9 and INaCl > 0.1 M, the ion adsorption into the PE chains leads to an increase in the monomer size and as a result, the L increases and PDADMA brushes reswell again into the solution.
These data show that by varying N and INaCl, different surface forces can be obtained: Electrostatic forces (flat chains) both positive and negative, steric forces (brush), hydration force (flat, neutral or zwitterionic surface), and effects not yet explained (reswelling brush).
Growth corridors have been an instrument of
economic development for decades but have gained new
attention in regional economic development policies in recent years, e.g., in Sub-Saharan Africa or Southeast Asia.
They are seen by policy makers and private businesses as
catalysts of regional economic integration, pushing traditional businesses into increasingly complex international
value chains. However, the outcomes of such development
initiatives are still barely understood. Critics argue that development policies are based on simplified models that are
unable to sufficiently address the complexity of regional
development. Policies on value-chain development, for
example, can lead to conflicts, external dependencies,
land rush, and a polarization of wealth. Growth corridors
often go hand-in-hand with socio-economic transformations and land-use conflicts. This paper first discusses the
theoretically possible desired and undesired regional socio-economic effects of modern corridors. Second, we illustrate the potential and challenges to realize integrative
(or inclusive) development by contrasting three growth
corridors: the SAGCOT growth corridor in Tanzania, the
Walvis Bay-Ndola-Lubumbashi Development Corridor
(WBNLDC) in Namibia, Zambia and Zimbabwe, and the
growth corridors in the Greater Mekong Subregion (GMS)
In this thesis, size-sensitive phenomena of three-dimensional dust crystals emerged in a low temperature plasma are presented. Depending on the number of particles in the system phase transitions, collective vortex motions and large-scaled expansions can be observed. To investigate these fascinating effects an advanced experimental setup as well as new evaluation methods have been developed. This thesis will present these new techniques and the gained insights.
Significance of Hyperbaric Oxygenation in the Treatment of Fournier’s Gangrene: A Comparative Study
(2018)
Introduction: Hyperbaric oxygenation (HBO), in addition to anti-infective and surgical therapy, seems to be a key treatment point for Fournier’s gangrene. The aim of this study was to investigate the influence of HBO therapy on the outcome and prognosis of Fournier’s gangrene. Patients and Methods: In the present multicenter, retrospective observational study, we evaluated the data of approximately 62 patients diagnosed with Fournier’s gangrene between 2007 and 2017. For comparison, 2 groups were distinguished: patients without HBO therapy (group A, n = 45) and patients with HBO therapy (group B, n = 17). The analysis included sex, age, comorbidities, clinical symptoms, laboratory and microbiological data, debridement frequency, wound dressing, antibiotic use, outcome and prognosis. The statistical analysis was performed with GraphPad Prism 7® (GraphPad Software, Inc., La Jolla, USA). Results: Demographic data showed no significant differences. The laboratory parameters C-reactive protein and urea were significantly higher in group B (group B: 301.7 vs. 140.6 mg/dL; group A: 124.8 vs. 54.7 mg/dL). Sepsis criteria were fulfilled in 77.8 and 100% of the patients in groups A and B respectively. Treatment in the intensive care unit (ICU) was therefore indicated in 69% of the patients in group A and 100% of the patients in group B. The mean ICU stay was 9 and 32 days for patients in groups A and B respectively. The wound debridement frequency and hospitalization stay were significantly greater in group B (13 vs. 5 debridement and 40 vs. 22 days). Initial antibiosis was test validated in 80% of the patients in group A and 76.5% of the patients in group B. Mortality was 0% in group B and 4.4% in the group A. Conclusion: The positive influence of HBO on the treatment of Fournier’s gangrene can be estimated only from the available data. Despite poorer baseline findings with comparable risk factors, mortality was 0% in the HBO group. The analysis of a larger patient cohort is desirable to increase the significance of the results.
Significance of Hyperbaric Oxygenation in the Treatment of Fournier’s Gangrene: A Comparative Study
(2018)
Introduction: Hyperbaric oxygenation (HBO), in addition to anti-infective and surgical therapy, seems to be a key treatment point for Fournier’s gangrene. The aim of this study was to investigate the influence of HBO therapy on the outcome and prognosis of Fournier’s gangrene. Patients and Methods: In the present multicenter, retrospective observational study, we evaluated the data of approximately 62 patients diagnosed with Fournier’s gangrene between 2007 and 2017. For comparison, 2 groups were distinguished: patients without HBO therapy (group A, n = 45) and patients with HBO therapy (group B, n = 17). The analysis included sex, age, comorbidities, clinical symptoms, laboratory and microbiological data, debridement frequency, wound dressing, antibiotic use, outcome and prognosis. The statistical analysis was performed with GraphPad Prism 7® (GraphPad Software, Inc., La Jolla, USA). Results: Demographic data showed no significant differences. The laboratory parameters C-reactive protein and urea were significantly higher in group B (group B: 301.7 vs. 140.6 mg/dL; group A: 124.8 vs. 54.7 mg/dL). Sepsis criteria were fulfilled in 77.8 and 100% of the patients in groups A and B respectively. Treatment in the intensive care unit (ICU) was therefore indicated in 69% of the patients in group A and 100% of the patients in group B. The mean ICU stay was 9 and 32 days for patients in groups A and B respectively. The wound debridement frequency and hospitalization stay were significantly greater in group B (13 vs. 5 debridement and 40 vs. 22 days). Initial antibiosis was test validated in 80% of the patients in group A and 76.5% of the patients in group B. Mortality was 0% in group B and 4.4% in the group A. Conclusion: The positive influence of HBO on the treatment of Fournier’s gangrene can be estimated only from the available data. Despite poorer baseline findings with comparable risk factors, mortality was 0% in the HBO group. The analysis of a larger patient cohort is desirable to increase the significance of the results.
Human cytomegalovirus (HCMV) latency is typically harmless but reactivation can be largely detrimental to immune compromised hosts. We modeled latency and reactivation using a traceable HCMV laboratory strain expressing the Gaussia luciferase reporter gene (HCMV/GLuc) in order to interrogate the viral modulatory effects on the human adaptive immunity. Humanized mice with long-term (more than 17 weeks) steady human T and B cell immune reconstitutions were infected with HCMV/GLuc and 7 weeks later were further treated with granulocyte-colony stimulating factor (G-CSF) to induce viral reactivations. Whole body bio-luminescence imaging analyses clearly differentiated mice with latent viral infections vs. reactivations. Foci of vigorous viral reactivations were detectable in liver, lymph nodes and salivary glands. The number of viral genome copies in various tissues increased upon reactivations and were detectable in sorted human CD14+, CD169+, and CD34+ cells. Compared with non-infected controls, mice after infections and reactivations showed higher thymopoiesis, systemic expansion of Th, CTL, Treg, and Tfh cells and functional antiviral T cell responses. Latent infections promoted vast development of memory CD4+ T cells while reactivations triggered a shift toward effector T cells expressing PD-1. Further, reactivations prompted a marked development of B cells, maturation of IgG+ plasma cells, and HCMV-specific antibody responses. Multivariate statistical methods were employed using T and B cell immune phenotypic profiles obtained with cells from several tissues of individual mice. The data was used to identify combinations of markers that could predict an HCMV infection vs. reactivation status. In spleen, but not in lymph nodes, higher frequencies of effector CD4+ T cells expressing PD-1 were among the factors most suited to distinguish HCMV reactivations from infections. These results suggest a shift from a T cell dominated immune response during latent infections toward an exhausted T cell phenotype and active humoral immune response upon reactivations. In sum, this novel in vivo humanized model combined with advanced analyses highlights a dynamic system clearly specifying the immunological spatial signatures of HCMV latency and reactivations. These signatures can be merged as predictive biomarker clusters that can be applied in the clinical translation of new therapies for the control of HCMV reactivation.
Sphingosine-1-phosphate (S1P) regulates the migration of follicular B cells
(B2 cells) and directs the positioning of Marginal zone B cells (MZ B cells) within the spleen. The
function of S1P signalling in the third B cell lineage, B1 B cells, mainly present in the pleural and
peritoneal cavity, has not yet been determined. Methods: S1P receptor expression was analysed
in peritoneal B cells by real-time polymerase chain reaction (qPCR). The chemotactic response to
S1P was studied in vitro. The role of S1P signalling was further explored in a s1p4
−/− mouse
strain. Results: Peritoneal B cells expressed considerable amounts of the S1P receptors 1 and 4
(S1P1 and S1P4, respectively). S1P1 showed differential expression between the distinct peritoneal B
cell lineages. While B2 cells showed no chemotactic response to S1P, B1 B cells showed a migration
response to S1P. s1p4
−/− mice displayed significant alterations in the composition of peritoneal
B cell populations, as well as a significant reduction of mucosal immunoglobulin A (IgA) in the
gut. Discussion: S1P signalling influences peritoneal B1 B cell migration. S1P4 deficiency alters the
composition of peritoneal B cell populations and reduces secretory IgA levels. These findings suggest
that S1P signalling may be a target to modulate B cell function in inflammatory intestinal pathologies.
Quantitative reconstructions of past vegetation cover commonly require pollen productivity estimates (PPEs). PPEs are calibrated in extensive and rather cumbersome surface-sample studies, and are so far only available for selected regions. Moreover, it may be questioned whether present-day pollen-landcover relationships are valid for palaeo-situations. We here introduce the ROPES approach that simultaneously derives PPEs and mean plant abundances from single pollen records. ROPES requires pollen counts and pollen accumulation rates (PARs, grains cm−2 year−1). Pollen counts are used to reconstruct plant abundances following the REVEALS approach. The principle of ROPES is that changes in plant abundance are linearly represented in observed PAR values. For example, if the PAR of pine doubles, so should the REVEALS reconstructed abundance of pine. Consequently, if a REVEALS reconstruction is “correct” (i.e., “correct” PPEs are used) the ratio “PAR over REVEALS” is constant for each taxon along all samples of a record. With incorrect PPEs, the ratio will instead vary. ROPES starts from random (likely incorrect) PPEs, but then adjusts them using an optimization algorithm with the aim to minimize variation in the “PAR over REVEALS” ratio across the record. ROPES thus simultaneously calculates mean plant abundances and PPEs. We illustrate the approach with test applications on nine synthetic pollen records. The results show that good performance of ROPES requires data sets with high underlying variation, many samples and low noise in the PAR data. ROPES can deliver first landcover reconstructions in regions for which PPEs are not yet available. The PPEs provided by ROPES may then allow for further REVEALS-based reconstructions. Similarly, ROPES can provide insight in pollen productivity during distinct periods of the past such as the Lateglacial. We see a potential to study spatial and temporal variation in pollen productivity for example in relation to site parameters, climate and land use. It may even be possible to detect expansion of non-pollen producing areas in a landscape. Overall, ROPES will help produce more accurate landcover reconstructions and expand reconstructions into new study regions and non-analog situations of the past. ROPES is available within the R package DISQOVER.
Action comprehension that is related to language or gestural integration has been shown to engage the motor system in the brain, thus providing preliminary evidence for the gestural-verbal embodiment concept. Based on the involvement of the sensorimotor cortex (M1) in language processing, we aimed to further explore its role in the cognitive embodiment necessary for gestural-verbal integration. As such, we applied anodal (excitatory) and sham transcranial direct current stimulation (tDCS) over the left M1 (with reference electrode over the contralateral supraorbital region) during a gestural-verbal integration task where subjects had to make a decision about the semantic congruency of the gesture (prime) and the word (target). We used a cross-over within-subject design in young subjects. Attentional load and simple reaction time (RT) tasks served as control conditions, applied during stimulation (order of three tasks was counterbalanced). Our results showed that anodal (atDCS) compared to sham tDCS (stDCS) reduced RTs in the gestural-verbal integration task, specifically for incongruent pairs of gestures and verbal expressions, with no effect on control task performance. Our findings provide evidence for the involvement of the sensorimotor system in gestural-verbal integration performance. Further, our results suggest that functional modulation induced by sensorimotor tDCS may be specific to gestural-verbal integration. Future studies should now evaluate the modulatory effect of tDCS on semantic congruency by using tDCS over additional brain regions and include assessments of neural connectivity.
Humanity is constantly confronted with the emergence and reemergence of infectious diseases. Many of them produce large or devastating epidemics, like AIDS (HIV) and Ebola. Others have been long neglected, yet pose immediate threats to global public health as evidences the abrupt emergence of Zika virus in South America and its association with microcephaly in babies. The examples illustrate, that many of these diseases are provoked by RNA viruses. One of the first steps in understanding and eliminating those threats is the development of sensitive and rapid diagnostic methods. A general and relatively rapid method is the direct detection and examination of the agent’s genome. However, the nature of (re)emerging RNA viruses poses a series of very specific problems for the design of such methods. Therefore, a systematic approach was proposed for the design of DNA-hybridization-base methods to detect and characterize RNA viruses that will have both a high sensitivity and a specificity sufficiently broad to detect, per reaction, down to a single copy of any of the possible variants of the viral genome.
Following this approach a series of assays were designed, developed or adapted and put into use for detection and characterization of important RNA viruses. One of those viruses is West Nile virus (WNV), which after its explosive introduction into USA become the most widespread flavivirus throughout the world and, consequently, many countries began an intensive monitoring. While existing assay detected predominantly the Lineage 1, in Europa Lineage 2 was expected. Two new RT-qPCR for the detection of both lineages were developed, and reportedly used by independent laboratories. Due to more than 50000 associated deaths per year, the Hepatitis E virus also received an increasing attention to elucidate novel routes of transmission. This virus (especially genotype 3) has the zoonotic potential of transmission from pigs and wild boar to humans. RT-qPCR and nested qPCR for detection and characterization of this virus as well as a methodology for subtyping were developed and the first detected case of subtype 3b in a German wild animal was documented. In addition a novel assay for flaviviruses conformed by a RT-qPCR coupled with a low density DNA microarray was developed, which enabled the identification of WNV in mosquitoes from Greece. A RT-qPCR suitable for surveillance and diagnostic of all known variants of Venezuelan equine encephalitis virus was developed too. A causative agent of hemorrhagic infections, the Ngari virus, was detected and characterized in animal samples from Mauritania. These achievements were supported by the development of software applications for selection and visualization of primers and probes from aligned DNA sequences and for modeling of DNA hybridizations using unaligned sequences.
In conclusion a general methodology for rapid development of sensitive diagnostic methods based in DNA-hybridization technics (PCR, sequencing and microarray) was stablished and successful applications are reported.
Submerged macrophytes play a key role in north temperate shallow lakes by stabilizing clear-water conditions. Eutrophication has resulted in macrophyte loss and shifts to turbid conditions in many lakes. Considerable efforts have been devoted to shallow lake restoration in many countries, but long-term success depends on a stable recovery of submerged macrophytes. However, recovery patterns vary widely and remain to be fully understood. We hypothesize that reduced external nutrient loading leads to an intermediate recovery state with clear spring and turbid summer conditions similar to the pattern described for eutrophication. In contrast, lake internal restoration measures can result in transient clear-water conditions both in spring and summer and reversals to turbid conditions. Furthermore, we hypothesize that these contrasting restoration measures result in different macrophyte species composition, with added implications for seasonal dynamics due to differences in plant traits. To test these hypotheses, we analyzed data on water quality and submerged macrophytes from 49 north temperate shallow lakes that were in a turbid state and subjected to restoration measures. To study the dynamics of macrophytes during nutrient load reduction, we adapted the ecosystem model PCLake. Our survey and model simulations revealed the existence of an intermediate recovery state upon reduced external nutrient loading, characterized by spring clear-water phases and turbid summers, whereas internal lake restoration measures often resulted in clear-water conditions in spring and summer with returns to turbid conditions after some years. External and internal lake restoration measures resulted in different macrophyte communities. The intermediate recovery state following reduced nutrient loading is characterized by a few macrophyte species (mainly pondweeds) that can resist wave action allowing survival in shallow areas, germinate early in spring, have energy-rich vegetative propagules facilitating rapid initial growth and that can complete their life cycle by early summer. Later in the growing season these plants are, according to our simulations, outcompeted by periphyton, leading to late-summer phytoplankton blooms. Internal lake restoration measures often coincide with a rapid but transient colonization by hornworts, waterweeds or charophytes. Stable clear-water conditions and a diverse macrophyte flora only occurred decades after external nutrient load reduction or when measures were combined.
The highly oncogenic alphaherpesvirus Marek’s disease virus (MDV) causes immense economic losses in the poultry industry. The main targets of in vivo MDV infection are primary B and T lymphocytes. The cytolytic infection of B cells leads to depletion of lymphoid cells results in severe immunosuppression. Infected B cells recruit and activate T cells. The close interaction between B cells and T cells enables efficient intercellular transfer of MDV. During infection of T cells, the virus enters a latent state. Infection of T cells can lead to transformation of these cells and formation of lymphoma, which manifest in various visceral organs. This study aimed at the characterization of the proteomes of MDV-infected lymphocytes during the lytic and latent phases of infection.
Previous in vitro studies concerning the MDV pathogenesis and host-virus interactions have been mainly conducted with primary fibroblasts or kidney cells, due to the short lifespan of primary lymphocytes in cell culture. Recently, a cultivation system has been established that extents the lifespan of primary lymphocytes through the addition of cytokines to the growth medium. This allowed the infection of B cells in vitro and to conduct quantitative proteomic analysis of primary lymphocytes. Infection with GFP labelled virus recombinants allowed the isolation of infected cells by FACS for the proteome analysis of MDV infected B lymphocytes. An efficient quantitative proteomic workflow was developed, which consisted of a filter-aided (FASP) digest of the extracted proteins, followed by differential dimethyl chemical labeling of the peptides for quantitative evaluation prior to LC-MALDI TOF/TOF mass spectrometry. Only few alterations of the protein and transcript expression profiles were observed after infection of primary B cells with the very virulent RB-1B and the live-attenuated vaccine strain CVI988/Rispens. Relevant changes in relative protein levels were found for only twelve and six interesting host proteins after RB1B and CVI988 infection, respectively. However, the regulations were confirmed by inspection of the spectra from all experiments. The identified candidates play a role in immune response, translation and inflammatory response.
To confirm the potential infection markers, RNA-seq analysis of three biological replicates of each RB-1B -, CVI988- and mock-infected B cells was performed. Eighty expressed MDV transcripts could be identified, which were associated with lytic infection. The same MDV proteins were identified after infection with RB-1B or CVI988. However, transcriptome and proteome analysis of MDV-infected primary B cells showed only poor correlation. This indicates that the changes in protein expression profiles are mostly due to posttranscriptional events. Infection marker candidates were identified by the RNA-seq analysis, for which the gene expression was altered by MDV infection. Although almost 12,000 transcripts were identified, only few transcript levels changed markedly after MDV infection. The biological processes immune response, apoptotic process, signal transduction, cell migration and response to virus were enriched after MDV infection. The RNA-seq results confirm the observation that alterations of protein levels early after MDV infection are rare.
Most notably, MDV induces transformation of lymphocytes leading to malignant T-cell lymphomas in visceral organs with mortalities of up to 100 %. While several factors involved in MDV tumorigenesis have been identified, the transformation process is not fully understood. Therefore, we set out to fill this knowledge gap using proteome analysis of transformed T-cells ex vivo. In addition, the role of the viral telomerase RNA during transformation was assessed by comparison of tumors that had formed after infection with WT-virus or a telomerase RNA negative mutant. A major obstacle for tumor proteome analyses is the preparation of sufficient amounts of homogenous tumor tissue, as tumors appear with a dispersed morphology in the affected organs. The quantitation of cell types within the tumors indicated varying portions of hepatocytes, connective tissue, and CD3+ lymphocytes even with the same virus strain in different animals. However, the ∆vTR-induced tumors contained lower levels of hepatocytes and higher levels of CD3+ lymphocytes compared to WT tumors in all tested tumor samples. Thus, ∆vTR tumors were chosen for determination of differences in protein expression profiles of tumors and naïve T cells for their lower content of liver cells. We developed a workflow for the proteome analysis of T cell tumors from livers of MDV-infected chickens. Samples included laser capture micro-dissected tissue cuts from tumors and surrounding healthy liver tissue as well as naïve T-cells prepared from thymus. To enable quantitative proteome analysis, samples were digested using the FASP protocol and peptides were isotope-coded by differential dimethyl labeling. To improve proteome analysis peptides were fractionated by preparative isoelectric focusing prior to nano-HPLC MALDI/TOF-TOF mass- spectrometric analysis.
Proteomic analyses of LCM dissected ΔvTR tumor compared to naïve T cells, the main targets of transformation, identified nineteen potential transformation markers but again only minor changes in relative levels were observed. Several of the identified markers could also be verified by RT-qPCR on transcript level. The identified transformation candidates were associated with nucleosome assembly, regulation of transcription, inflammatory response, immune response and oxidation-reduction process.
However, further functional analyses are necessary to fully elucidate the role of the identified markers during MDV infection and transformation.