Universitätsbibliothek

Bacterial small RNAs are key mediators of post-transcriptional gene regulation. An increasing number of sRNAs have been implicated in the regulation of virulence programs of pathogenic bacteria. Recently, in the enteric pathogen Salmonella Typhimurium, the PinT sRNA has gained increased importance as it is the most upregulated sRNA as Salmonella infects mammalian host cells (Westermann et al., 2016). PinT acts as a temporal regulator of Salmonella‘s two major pathogenicity islands, SPI-1 and SPI-2 (Kim et al., 2019; Westermann et al., 2016). However, the complete set of PinT targets, its role in Salmonella infection and host response is not yet fully understood. Building on the MS2 affinity purification and RNA- seq (MAPS) method (Lalaouna et al., 2015), we here set out to globally identify direct RNA ligands of PinT, relevant to Salmonella infection. We transferred the classical MAPS technique, based on sRNA-bait overexpression, to more physiological conditions, using endogenous levels of the sRNA. Making the henceforth identified targets, less likely to represent artefacts of the overexpression. More importantly, we progressed the MAPS technique to in vivo settings and by doing so, we were able pull-down bacterial RNA transcripts bound by PinT during macrophage infection. While we validate previously known PinT targets, our integrated data revealed novel virulence relevant target. These included mRNAs for the SPI-2 effector SteC, the PhoQ activator UgtL and the 30S ribosomal protein S22 RpsV. Next, we follow up on SteC, the best characterized virulence relevant PinT target. Using genetic and biochemical assays, we demonstrate that PinT represses steC mRNA by direct base-pairing and translational interference. PinT-mediated regulation of SteC leads to alterations in the host response to Salmonella infection. This regulation impacts the cytokine response of infected macrophages, by altering IL10 production, and possibly driving the macrophages to an anti-inflammatory state, more permise to infection. SteC is responsible for F-actin meshwork rearrangements around the SCV (Poh et al., 2008). Here we demonstrate that PinT-mediated regulation of SteC, impacts the formation of this actin meshwork in infected cells. Our results demonstrate that SteC expression is very tightly regulated by PinT in two layers; indirectly, by repressing ssrB and crp; and directly by binding to steC 5’UTR. PinT contributes to post-transcriptional cross-talk between invasion and intracellular replication programs of Salmonella, by controlling the expression of both SPI-1 and SPI-2 genes (directly and indirectly). Together, our collective data makes PinT the first sRNA in Gram-negatives with a pervasive role in virulence, at the center of Salmonella virulence programs and provide molecular input that could help explain the attenuation of pinT-deficient Salmonella strains in whole animal models of infection.

DNA metabarcoding was utilized for a large‐scale, multiyear assessment of biodiversity in Malaise trap collections from the Bavarian Forest National Park (Germany, Bavaria). Principal component analysis of read count‐based biodiversities revealed clustering in concordance with whether collection sites were located inside or outside of the National Park. Jaccard distance matrices of the presences of barcode index numbers (BINs) at collection sites in the two survey years (2016 and 2018) were significantly correlated. Overall similar patterns in the presence of total arthropod BINs, as well as BINs belonging to four major arthropod orders across the study area, were observed in both survey years, and are also comparable with results of a previous study based on DNA barcoding of Sanger‐sequenced specimens. A custom reference sequence library was assembled from publicly available data to screen for pest or invasive arthropods among the specimens or from the preservative ethanol. A single 98.6% match to the invasive bark beetle Ips duplicatus was detected in an ethanol sample. This species has not previously been detected in the National Park.

Tree species diversity is important to maintain saproxylic beetle diversity in managed forests. Yet, knowledge about the conservational importance of single tree species and implications for forest management and conservation practices are lacking. We exposed freshly cut branch‐bundles of 42 tree species, representing tree species native and non‐native to Europe, under sun‐exposed and shaded conditions for 1 year. Afterwards, communities of saproxylic beetles were reared ex situ for 2 years. We tested for the impact of tree species and sun exposure on alpha‐, beta‐, and gamma‐diversity as well as composition of saproxylic beetle communities. Furthermore, the number of colonised tree species by each saproxylic beetle species was determined. Tree species had a lower impact on saproxylic beetle communities compared to sun exposure. The diversity of saproxylic beetles varied strongly among tree species, with highest alpha‐ and gamma‐diversity found in Quercus petraea. Red‐listed saproxylic beetle species occurred ubiquitously among tree species. We found distinct differences in the community composition of broadleaved and coniferous tree species, native and non‐native tree species as well as sun‐exposed and shaded deadwood. Our study enhances the understanding of the importance of previously understudied and non‐native tree species for the diversity of saproxylic beetles. To improve conservation practices for saproxylic beetles and especially red‐listed species, we suggest a stronger incorporation of tree species diversity and sun exposure of into forest management strategies, including the enrichment of deadwood from native and with a specific focus on locally rare or silviculturally less important tree species.

Salvage logging, or logging after natural disturbances such as wildfires, insect outbreaks, and windstorms, is carried out to recover some of a forest's natural and/or economic capital. However, trade‐offs between management objectives and a lack of consensus on the ecological consequences of salvage logging impair science‐based decision making on the management of forests after natural disturbances. We conducted a global meta‐analysis of the impacts of salvage logging on regulating ecosystem services and on fuel loads, as a frequent post‐disturbance objective is preventing subsequent wildfires that could be fueled by the accumulation of dead trunks and branches. Salvage logging affected ecosystem services in a moderately negative way, regardless of disturbance type and severity, time elapsed since salvage logging, intensity of salvage logging, and the group of regulating ecosystem services being considered. However, prolonging the time between natural disturbance and salvage logging mitigated negative effects on regulating ecosystem services. Salvage logging had no overall effect on surface fuels; rather, different fuel types responded differently depending on the time elapsed since salvage logging. Delaying salvage logging by ~2–4 years may reduce negative ecological impacts without affecting surface fuel loads.

In the last few years, quantitative analysis of metabolites in body fluids using LC/MS has become an established method in laboratory medicine and toxicology. By preparing metabolite profiles in biological specimens, we are able to understand pathophysiological mechanisms at the biochemical and thus the functional level. An innovative investigative method, which has not yet been used widely in the forensic context, is to use the clinical application of metabolomics. In a metabolomic analysis of 41 samples of postmortem cerebrospinal fluid (CSF) samples divided into cohorts of four different causes of death, namely, cardiovascular fatalities, isoIated torso trauma, traumatic brain injury, and multi-organ failure, we were able to identify relevant differences in the metabolite profile between these individual groups. According to this preliminary assessment, we assume that information on biochemical processes is not gained by differences in the concentration of individual metabolites in CSF, but by a combination of differently distributed metabolites forming the perspective of a new generation of biomarkers for diagnosing (fatal) TBI and associated neuropathological changes in the CNS using CSF samples.