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The order of bats (Chiroptera) account for ~20% of all mammalian species and attracted immense global attention due to their identification as important viral reservoir. Bats can harbour a plethora of high-impact zoonotic viruses, such as filoviruses, lyssaviruses, and coronaviruses without displaying clinical signs of disease themselves. Given this striking diversity of the bat virome, their ability of self-powered flight, and global distribution, understanding chiropteran immunity is essential to facilitate assessment of future spillover events and risks.
However, scarcity of bat-specific or cross-reactive tools and standardized model systems impede progress until today. Furthermore, the richness of species led to generation of isolated datasets, hampering data interpretation and identification of general immune mechanisms, applicable for various chiropteran suborders/families. The key to unlocking bat immunity are coordinated research approaches that comprehensively define immunity in several species. In this work, an in-depth study of innate and adaptive immune mechanisms in the fructivorous Egyptian Rousette bat (Rousettus aegyptiacus, ERB) is presented.
Detailed stability analyses identified EEF1A1 as superior reference gene to ACTB, and GAPDH, which rendered unstable upon temperature increase or presence of type-I-IFN. Since the body core temperatures of pteropid bats reach from 35°C to 41°C and it has been postulated that bats display constitutive expression of IFNs, a suitable reference gene has to be stable under these physiologically relevant conditions. To study cellular innate immunity in detail, cell lines from the nasal epithelium, the olfactory compartment and the cerebrum were generated. To include immune responses of epithelia cells, essential for immunity at sites of primary viral infection, primary epithelia cells from the nasal epithelium, trachea, lung and small intestine were generated. Cellular identities were determined by comprehensive analyses of transcripts and proteins expressed by each cell line. The capacity of each cell line to produce type-I- and III-IFNs was assessed at 37°C and 40°C upon stimulation with viral mimetics. This revealed cell type-dependent differences is the capability to express IFNs upon stimulation. Furthermore, the constitutive expression of type-I- and III-IFNs was significantly elevated in higher temperatures and quantified at mRNA copy levels. To characterize ERB innate immunity upon infection with high-impact zoonotic viruses, cells from the nasal epithelium, the olfactory system, and the brain were infected with several lyssaviruses. This revealed striking differences in susceptibility: cells from the nasal epithelium rendered least whereas cells from the olfactory epithelium rendered most susceptible to viral infection and replication. Additionally, due to a lack of IFN expression in infected cells, it could be shown that LBV possibly possesses advanced strategies to ensure successful replication in ERB cells. Since the current SARS-CoV-2 pandemic put bats even further in the focus of zoonotic research, primary epithelial cells and animals were infected with this virus to monitor ERB-specific immune transcripts in cells and tissues. These studies revealed a notably early IFNG expression in the respiratory tract of infected individuals.
To understand immunomaturation in bats, the immune cell landscape in periphery and various tissue in adult and juvenile ERB was analyzed by flow cytometry and scRNA-seq, revealing intriguing, age-dependent variations in the abundance of granulocytes and lymphocytes. Flow cytometry revealed a significantly higher number of granulocytes in adults, as well as higher numbers of B cells in juveniles. scRNA-seq allowed detailed identification of different leukocyte subsets, uncovering the presence of highly-abundant NKT-like cells and a unique PLAC8 expressing B cell population. A functional characterization of phagocytic cells and lymphocytes derived from adult and juvenile ERB revealed no significant differences in cellular functionality.
In conclusion, the presented work demonstrated suitability of all established ERB cell lines to study bat immunity in vitro, which led to striking findings regarding IFN expression at steady state, or upon stimulation or viral infection. In addition, established qRT-PCR protocols allowed definition of constitutive and temperature-dependent elevation of IFN expression magnitudes, as well as insights into expression of immune-related transcripts in SARS-CoV-2 infected ERB. Finally, based on optimized scRNA-seq technologies and flow cytometry, frequencies and absolute cell counts could be determined in ERB of different ages, revealing e.g. age-dependent variations in leukocyte profile compositions.
The aim of this work was to characterize the distribution of TULV in European common vole populations, to clarify the host association of TULV and to investigate correlations between host population dynamics and changes in TULV prevalence. Furthermore, the potential of common voles as reservoir for other rodent-borne pathogens was examined in comparison to other rodent species.
Molecular and serological analysis of rodents captured at 87 locations in Germany, France, Luxembourg, and Austria revealed TULV infections at 53.6 % of all trapping locations. The seroprevalence in common voles was low with a mean of 8.5 % (range: 0 – 19 %). TULV RNA was more often detected (mean: 15.3 %, range 0 - 37.5 %). Field voles (Microtus agrestis) and water voles (Arvicola amphibius) were less often tested positive for TULV: mean seroprevalence was 7 % for field voles and 6.7 % for water voles. RNA could be detected in 5.4 % of all tested field voles and 3.2 % of water voles and with exception of a single field vole only when TULV-RNA-positive common voles were trapped at the same location. Those results indicate that TULV infections of field and water voles are spillover infections from sympatric TULV-infected common voles. Phylogenetic analysis revealed distinct genetic differences between TULV sequences of regions of greater geographical distance which were associated with different evolutionary common vole lineages. Furthermore, we could detect genetic differences between TULV strains from trapping sites close to each other (ca. 10 km).
In a capture-mark-recapture study 1042 common voles captured in live traps in Germany were sampled as well as 225 captured in snap traps. When analyzing the seroprevalence of fluctuating common vole populations over several years and seasons we found a negative correlation between prevalence and population density in the current season but a delayed density-dependent positive correlation between the current population density and seroprevalence in the next season. However, this trend varied geographically between the four trapping locations. Usually, population density as well as seroprevalence peaked at the end of the reproductive period in autumn with the exception of Weissach (2010-2012), Jeeser (2010) and Gotha (2012) where population peaks in summer were observed.
In a pilot study in Austria common voles were captured as well as three other rodent species. They were investigated not only for presence of different viruses (TULV, Dobrava- Belgrade orthohantavirus (DOBV), Puumala orthohantavirus (PUUV), Lymphocytic choriomeningitis mammarenavirus (LCMV), Cowpox virus (CPXV)) but also pathogenic bacteria and endoparasites (Leptospira spp., Toxoplasma gondii, Borrelia afzelii, Coxiella burnetii, Rickettsia spp. und Bartonella spp.). Of all four captured species, common voles were most often infected with at least one pathogen (66.7 %), followed by wood mice (Apodemus sylvaticus) (57.7 %), bank voles (Myodes glareolus) (35 %) and yellow-necked field mice (Apodemus flavicollis) (34.5 %). Common voles were also exceptionally susceptible to multiple infections: 66.7 % of them were infected with two or three different pathogens, compared to 6.9 % of yellow-necked field mice and 2.5 % of bank voles. No multiple infections could be detected in wood mice.
The broad geographic distribution of TULV in its reservoir host is in contrast to the rare reports of human infection but might be explained with a low pathogenicity for humans or with the low prevalence in host populations. In addition, the rare detection of human TULV infections could be a result of the used diagnostic methods. Since the reservoir population is known for its dramatic changes in population density and recurring superabundances which facilitates frequent contact to humans, TULV should more often be considered as cause for human disease in future analysis. In
addition, several other zoonotic pathogens could be detected in common voles which could influence TULV infections in the reservoir host but also TULV transmission to humans and therefore deserve more attention in future research.