No abstract

The COVID-19 pandemic is caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and has spread worldwide, with millions of cases and more than 1 million deaths to date. The gravity of the situation mandates accelerated efforts to identify safe and effective vaccines. Here, we generated measles virus (MeV)-based vaccine candidates expressing the SARS-CoV-2 spike glycoprotein (S). Insertion of the full-length S protein gene in two different MeV genomic positions resulted in modulated S protein expression. The variant with lower S protein expression levels was genetically stable and induced high levels of effective Th1-biased antibody and T cell responses in mice after two immunizations. In addition to neutralizing IgG antibody responses in a protective range, multifunctional CD8+ and CD4+ T cell responses with S protein-specific killing activity were detected. Upon challenge using a mouse-adapted SARS-CoV-2, virus loads in vaccinated mice were significantly lower, while vaccinated Syrian hamsters revealed protection in a harsh challenge setup using an early-passage human patient isolate. These results are highly encouraging and support further development of MeV-based COVID-19 vaccines.

The complex interplay of forces influencing genetic divergence among populations complicates the discovery of the genetic basis underlying local adaptation. Here, we utilized for the first time a combined reverse ecology and population transcriptomic approach to assess the contribution of thermal selection to population differentiation, thereby considering transcriptome-wide variation in both gene expression profiles and DNA sequences. We compared transcriptomes among four Daphnia galeata populations and identified transcripts potentially responding to local thermal selection based on an extensive literature search for candidate genes possibly under thermal selection in arthropods. Over-representation of temperature-relevant candidate genes among transcripts strongly contributing to sequence divergence among two populations indicates that local thermal selection acted on the coding sequence level. We identified a large number of transcripts, which may contribute to local thermal adaptation based on outlier tests and distinctive expression profiles. However, among these, temperature-relevant candidate genes were not over-represented compared to the global gene set, suggesting that thermal selection played a minor role in divergence among Daphnia populations. Interestingly, although the majority of genes contributing strongly to sequence divergence did not contribute strongly to divergence at the expression level and vice versa, the affected gene functions were largely consistent between the two data sets. This suggests that genetic and regulatory variation constitutes alternative routes for responses to natural selection. Our combined utilization of a population transcriptomics approach and literature-based identification of ecologically informative candidate genes represents a useful and powerful methodology with a wide range of applications in evolutionary biology.

Transcriptional profiling provides global snapshots of virus-mediated cellular reprogramming, which can simultaneously encompass pro- and antiviral components. To determine early transcriptional signatures associated with HCV infection of authentic target cells, we performed ex vivo infections of adult primary human hepatocytes (PHHs) from seven donors. Longitudinal sampling identified minimal gene dysregulation at six hours post infection (hpi). In contrast, at 72 hpi, massive increases in the breadth and magnitude of HCV-induced gene dysregulation were apparent, affecting gene classes associated with diverse biological processes. Comparison with HCV-induced transcriptional dysregulation in Huh-7.5 cells identified limited overlap between the two systems. Of note, in PHHs, HCV infection initiated broad upregulation of canonical interferon (IFN)-mediated defense programs, limiting viral RNA replication and abrogating virion release. We further find that constitutive expression of IRF1 in PHHs maintains a steady-state antiviral program in the absence of infection, which can additionally reduce HCV RNA translation and replication. We also detected infection-induced downregulation of ∼90 genes encoding components of the EIF2 translation initiation complex and ribosomal subunits in PHHs, consistent with a signature of translational shutoff. As HCV polyprotein translation occurs independently of the EIF2 complex, this process is likely pro-viral: only translation initiation of host transcripts is arrested. The combination of antiviral intrinsic and inducible immunity, balanced against pro-viral programs, including translational arrest, maintains HCV replication at a low-level in PHHs. This may ultimately keep HCV under the radar of extra-hepatocyte immune surveillance while initial infection is established, promoting tolerance, preventing clearance and facilitating progression to chronicity. IMPORTANCE Acute HCV infections are often asymptomatic and therefore frequently undiagnosed. We endeavored to recreate this understudied phase of HCV infection using explanted PHHs and monitored host responses to initial infection. We detected temporally distinct virus-induced perturbations in the transcriptional landscape, which were initially narrow but massively amplified in breadth and magnitude over time. At 72 hpi, we detected dysregulation of diverse gene programs, concurrently promoting both virus clearance and virus persistence. On the one hand, baseline expression of IRF1 combined with infection-induced upregulation of IFN-mediated effector genes suppresses virus propagation. On the other, we detect transcriptional signatures of host translational inhibition, which likely reduces processing of IFN-regulated gene transcripts and facilitates virus survival. Together, our data provide important insights into constitutive and virus-induced transcriptional programs in PHHs, and identifies simultaneous antagonistic dysregulation of pro-and anti-viral programs which may facilitate host tolerance and promote viral persistence.

Altering thermal environments impose strong selection pressures on organisms, whose local persistence depends on adaptive phenotypic plastic and genetic responses. Thus far, adaptive change is monitored using phenotypic shifts or molecular markers, although inevitable obstacles are inherent in both methods. In order to circumvent these, it is necessary to find a causal link between adaptive alleles and fitness. Combining both approaches by linking genetic analyses and lifehistory measurements, a potential genotype-phenotype relationship can be assessed and adaptation at the molecular level demonstrated. For our study, clonal lineages of the freshwater keystone species D. galeata from seven different populations distributed along a latitudinal gradient across Europe were tested for local thermal adaptation in common garden experiments. Fitnessrelated life-history responses were quantified under different thermal regimes and experimental clones were genotyped at three candidate gene marker loci to investigate a potential genotypephenotype association. The analyses of the life-history data showed a significant temperature effect on several fitness-related life-history traits recorded in our experiments. However, we could not detect evidence for a direct association at neither candidate gene locus between genotypes and life-history traits. The observed phenotypic shifts might therefore not be based on the tested marker loci EA, M and TF, or in general not coding sequence-based and thus rather reveal phenotypic plasticity in response to thermal variation. Nonetheless, we revealed significant genotype by environment (GxE) interactions at all tested loci, potentially reflecting a contribution of marker loci to certain life-history trait values and contribution of multiple genetic loci to phenotypic traits. K E Y W O R D S