Biology subjects

Lowen, A. C.

Publications and source records attributed to Lowen, A. C..

At least 19 recordsLinked to original sources

bioRxiv2026

Viral dispersal drives changes in population composition

In an acute viral infection, a small seeding population expands rapidly over several orders of magnitude, then declines. This vast population growth is accompanied by spatial expansion as infection spreads to new anatomical sites within the host. Evolutionary theory predicts that spatially expanding populations experience more extreme stochastic losses of genetic diversity than spatially unstructured populations. To test this prediction in the context of viral dynamics, we evaluated the impact of spatial expansion on viral population genetic structure and assessed how modulators of viral dispersal affected this structure. To this end, we developed a means of implementing the spatial expansion of influenza A virus in cell culture and applied it to a viral population carrying a diverse genetic barcode. Across this simplified cellular landscape, we found that spatial expansion produces a patchwork of distinct viral subpopulations. We then evaluated the consequences for population structure of two modulators of viral dispersal: extracellular viscosity and a common polymorphism in the viral attachment protein. Both physical constraint and viral phenotype altered the extent of genetic bottlenecking and spatial heterogeneity that developed during expansion, indicating that environmental features and viral traits that modulate dispersal also modulate viral population composition, diversity and evolution.

microbiology↗

bioRxiv2026

Distinct Longitudinal Antibody Responses Following Primary Influenza Infection or Vaccination in Infants: A Prospective Birth Cohort Study

The longitudinal effects of initial influenza exposure on the magnitude, persistence, and antigen specificity of antibody responses during infancy remain incompletely understood. We investigated humoral antibody responses following primary influenza infection or seasonal vaccination in a prospective US birth cohort with weekly respiratory surveillance for influenza infection. Influenza-specific serum IgG binding to H1 and H3 haemagglutinin (HA) antigens, HA inhibition (HAI), and live-virus neutralizing antibody responses were assessed longitudinally. To minimize influence of maternally derived antibodies, analyses of primary exposure responses were restricted to infants for whom influenza-specific maternal antibodies had declined below the assay detection limit before exposure. Antibody responses were compared following primary infection and vaccination and examined after subsequent annual vaccination. We found that maternal influenza-specific IgG declined rapidly during early infancy. Among infants without detectable pre-exposure influenza-specific antibodies, primary influenza infection was associated with greater post-exposure antibody responses and less measurable decline over follow-up than primary vaccination. These groups differed in age, calendar season, and exposure characteristics, limiting direct attribution of these differences to route of exposure. In infants with previous influenza infection followed by vaccination, responses after subsequent vaccination initially showed greater binding to the previously infecting subtype among the tested HA antigens. With repeated vaccination, responses became more distributed across the tested antigens. Our findings reveal differences in the magnitude, persistence, and antigen specificity of antibody responses according to the nature and sequence of influenza exposure. By prospectively capturing early-life exposures, this study provides longitudinal evidence linking exposure history to subsequent humoral antibody responses.

immunology↗

bioRxiv2026

Within-host antigenic selection of influenza A virus dominates over stochasticity but is limited by fitness tradeoffs and timing of the immune response

Despite antigenic evolution at the global scale, positive selection of influenza virus antigenic variants is not readily observed within hosts. Here, we tested the extent to which fitness tradeoffs, the timing of immune pressure, and stochastic effects impede antigenic selection within pre-immune hosts. We used genetically barcoded influenza A/Texas/50/2012 (H3N2) viruses (Tx/12) in a guinea pig model to probe these dynamics. Positive selection of an antigenic variant was reliant on a high strength of immune pressure acting early in infection. However, when fitness tradeoffs of the antigenic change were lessened, a lower strength and later introduction of immune pressure favored the antigenic variant. In all conditions, barcode dynamics revealed moderate stochastic effects. Our results suggest that stochastic evolution does not impede selection during acute influenza virus infection. The rarity of antigenic escape may instead stem from low mutational supply, fitness tradeoffs, and the intrinsic delay between infection and antibody recall.

microbiology↗

bioRxiv2026

Environmental stochasticity can account for patterns of within-host respiratory virus evolution

The ecological and evolutionary dynamics of populations, including viral populations, are known to be jointly shaped by deterministic and stochastic processes. While the impact of stochastic processes has been rigorously explored for viral dynamics at the level of the host population, most dynamic models for acutely-infecting respiratory viral pathogens at the within-host scale remain deterministic in their formulation. While this may be reasonable for identifying key processes shaping their within-host viral population dynamics, recent studies indicate that stochastic processes need to be invoked for understanding patterns of within-host viral evolution. Specifically, several studies have shown that viral allele frequencies can change dramatically over the time course of days in acute infections. Here, we use stochastic dynamic models to explore the role of environmental noise in shaping observed patterns of virus evolution in acute respiratory virus infections. We summarize ways in which environmental stochasticity can be biologically realized in these acute viral infections and describe within-host models that can be implemented to jointly yield viral population dynamics and evolutionary dynamics. We further develop a statistical approach to estimate the extent of environmental noise from observed within-host allele frequency changes. We test this approach on simulated data and apply it to existing influenza A virus and SARS-CoV-2 within-host data. With these applications, we show that environmental stochasticity can parsimoniously reproduce key features of empirically observed allele frequency changes without needing to invoke demographic stochasticity or to adopt Wright-Fisher model formulations with a constant effective population size. Finally, we show that purifying selection and positive selection can both still contribute to within-host viral evolution in the context of a noisy environment, providing theoretical support for studies that have found purifying and positive selection in acutely-infecting respiratory virus populations.

evolutionary biology↗

bioRxiv2026

Comparative analysis of flavivirus sfRNA dynamics and secondary structure

The accumulation of subgenomic flavivirus RNAs (sfRNAs) modulates viral fitness and pathogenicity in culture and in vivo. These noncoding RNAs are produced by incomplete digestion of the flavivirus genome by the cellular 5-3 exoribonuclease (XRN1). Diverse flaviviruses have conserved RNA structural elements (RSEs) that map to their 3-untranslated region (3-UTR): Xrn-resistant RNA structures, dumbbell structures, and a 3-stem loop (3SL). Despite the importance of the 3-UTR RSEs for flavivirus replication, the structural dynamics of sfRNA during flavivirus infection are understudied. Here, we use digital droplet PCR to quantify sfRNA levels during infection for a panel of mosquito-borne flaviviruses (MbFV) including dengue virus serotypes 1 (DENV1), 2 (DENV2), and 4 (DENV4), and Zika virus (ZIKV). We then used SHAPE-MaP on XRN1-digested, in vitro-transcribed sfRNAs from each virus to determine their secondary structures compared to the corresponding sfRNAs obtained from flavivirus-infected A549 cells. Results seen in-cell and in vitro were largely similar; however, motifs within the dumbbell, the small hairpin (sHP) directly upstream of the 3-SL, and 3-SL regions showed significant differences in the extent of nucleotide reactivity. These differences were consistent among the four flaviviruses examined and may indicate regions of sfRNA that are shielded by interaction with proteins or other nucleic acids during infection. However, strong protection indicative of sustained interaction was not apparent. Our findings suggest that sfRNA interactions with viral and host factors within the cell are few, occur via base-paired regions, or are highly transient. ImportanceFlaviviruses are highly prevalent human pathogens. The flavivirus genome contains RNA structural elements (RSEs), including those encoded in the 3-UTR, that are necessary for viral replication. Subgenomic flavivirus RNAs (sfRNAs) are produced by incomplete digestion of flavivirus genomic RNA due to the cellular exoribonuclease XRN1 encountering 3-UTR RSEs that promote its stalling and disassociation. Viruses unable to produce sfRNAs are highly attenuated, underlining their biological importance. sfRNA secondary structure has been investigated previously but little information is available on sfRNA secondary structure dynamics in infected cells. By comparing SHAPE-MaP reactivities in vitro and in cells, we determined that previously inferred structures are likely maintained within infected cells. We also identified differences in the extent of SHAPE reactivity between in vitro and in-cell environments that were common to multiple mosquito-borne flaviviruses. These differences suggest that sfRNAs may engage in transient interactions within the cell that may be important for their function.

microbiology↗

bioRxiv2026

Conserved stem-loops of the SARS-CoV-2 5'-UTR activate OAS1

The innate immune system relies on pathogen recognition receptors, such as the 2,5-oligoadenylate synthetase (OAS) proteins, to detect pathogen-associated molecular patterns like viral double-stranded (ds)RNA. A specific splicing variant of OAS1 (OAS1-p46) has been implicated in initiating an immune response that leads to decreased disease severity during SARS-CoV-2 infection. OAS1-p46 has a C-terminal lipid modification motif that allows for anchoring of the protein to intracellular membranes and thus potential colocalization with immunogenic viral RNA regions such as the SARS-CoV-2 5-untranslated region (5-UTR). Here, we show that OAS proteins can detect the 5-structured elements (5-SE)-comprising the 5-UTR and three additional stem-loop structures-and activate the cellular RNase L pathway. Through systematic 3-end truncations of the 5-SE, we show that the smallest 5-SE fragment capable of potently activating OAS1 is the conserved and highly structured SL1-4b region, containing the first four stem-loop structures and their intervening linking sequences (SL1-4), as well as an unstructured region ("SL4b") to the 3-side of SL4. Analyses of OAS1 activation and RNA secondary structure probing using selective 2-hydroxyl acylation analyzed by primer extension and mutational profiling (SHAPE-MaP) of additional SL1-4b RNA variants suggests a model in which SL4 acts as the primary OAS1 interaction site, while the unstructured SL4b region and two other stem-loops (SL1 and SL3) are necessary for optimal presentation of this region for OAS1 activation. Our findings reveal a structurally complex viral RNA region that potently activates OAS1, underscoring the potential complexity of RNAs that can strongly activate this innate immune sensor.

biochemistry↗

bioRxiv2026

Within-host adaptive evolution is limited by genetic drift in experimental human influenza A virus infections

Selection of advantageous mutations drives the emergence of dominant variants during seasonal influenza epidemics. However, within-host detection of such variants remains rare, limiting our understanding of how selection operates at the scale of individual hosts. In this study, we used a controlled human infection model to examine the within-host evolutionary dynamics in thirteen participants intranasally infected with a seasonal H3N2 influenza A virus. Although this clinical trial is ongoing, our work represents a pre-planned, interim, exploratory analysis. Results in this system were contrasted with those observed in a ferret model of infection. The inoculum, used in both humans and ferrets, carried standing diversity that enabled evaluation of variant trajectories during infection. Although the dynamics were variable among participants, in humans, the minor variants in the PA and NP gene segments tended to increase in frequency as infection progressed. Variant dynamics were more consistent among ferrets but showed differences from humans in the fate of the minor NP allele. Based on these observations, we fit a population genetic model to longitudinal measurements of variant frequencies. Estimates of variant selection coefficients and effective viral population sizes indicated that in humans the two minor variants had a selective advantage over the major variants, but genetic drift was strong, limiting the efficiency of selection. In ferrets, the PA minor variant also was estimated to have a selective advantage, while the NP minor variant was estimated to have a selective disadvantage. Moreover, effective viral population sizes were estimated to be considerably higher in ferrets than in humans, indicating that genetic drift was weaker in ferrets. Our analyses reveal differing selective environments acting on influenza viruses in human and ferret hosts and indicate that selection at the within-host level is weakened by genetic drift.

microbiology↗

bioRxiv2025

Viral lineage and mode of exposure modulate within host spatial dynamics of influenza A viruses

The upper and lower respiratory tracts (URT and LRT) present distinct environments for influenza A virus (IAV) replication. Their differential features have major implications for viral evolutionary dynamics, transmission potential, and pathogenesis. To investigate the implications of differential viral replication in the URT and LRT, we assessed dispersal of IAVs throughout the guinea pig respiratory system. Guinea pigs were inoculated intranasally with a 300 L volume to deliver inoculum to both the URT and LRT. Two strains were used to represent the circulating seasonal IAV lineages: influenza A/TX/50/2012 (H3N2) and influenza A/CA/07/2009 (H1N1) virus. The inclusion of a diverse genetic barcode enabled high-resolution tracing of viral dispersal for the H1N1 virus. While infectious virus was consistently detected in the URT, the H1N1 virus could be detected in LRT while the H3N2 virus could not. To determine whether replication of the H1N1 virus in the LRT extends to other modes of infection, virus distribution was evaluated following infection via aerosol exposure or transmission. Infectious virus in lung homogenates was observed in both cases, confirming the LRT tropism of the H1N1 virus. Sequencing genetic barcodes revealed that diversity was largely maintained in nasal samples and trachea but contracted upon dispersal to the lungs. This loss of diversity was associated with increased distance to and branching from the major airways, implicating long distance dispersal through the airways in imposing within-host population bottlenecks. These data underline the implications for within-host viral dynamics of the distinct environments of the upper and lower respiratory tracts. ImportanceThe upper (URT) and lower (LRT) respiratory tracts create different conditions for influenza A virus (IAV) spread and evolution. We studied how the virus moves through guinea pigs airways after infection with H3N2 or H1N1 strains of IAV. Whether delivered intranasally, by aerosol or by transmission, the H1N1 virus replicated in the nasal cavity, trachea, and lungs. By contrast, the H3N2 virus stayed mostly in the nasal cavity. Genetic barcodes were used to track how the H1N1 virus moved and changed. The populations replicating in the nasal cavity and trachea maintained high diversity but those sampled from the lungs showed low diversity. This bottlenecking effect was stronger for viral populations present deeper in the lungs. These findings show that the different environments of the URT and LRT strongly shape how influenza spreads and evolves inside a host.

microbiology↗

bioRxiv2025

Virion aggregation shapes infection dynamics and evolutionary potential

Viral spread is classically thought to be mediated by single viral particles. However, viruses often disseminate in groups - as aggregates, inside membranous vesicles, or as clusters associated with bacterial components or other complex surfaces. The implications of collective dispersal for viral infectivity and evolution remain incompletely defined. Here, we used mammalian orthoreovirus to evaluate the impact of aggregation on the propagation of infection and the generation of viral diversity through reassortment. Aggregation of free virions was induced by manipulating pH and ionic conditions. This treatment promoted coordinated delivery of viruses to cells, increasing the number of virions per infected cell and number of virions per occupied endosome at early times of infection. Likely due to a consolidation of infectious units, aggregation concomitantly reduced the overall infectivity of the viral population and progeny virus yields. When viral populations comprised two genetically distinct viruses, aggregation increased the frequency of mixed infection and of genetic exchange through reassortment. Thus, the formation of collective infectious units lowers the replicative potential of mammalian orthoreovirus populations but increases viral evolutionary potential by promoting genetic diversification. ImportanceA deeper understanding of processes shaping viral evolution will advance our ability to anticipate viral emergence, escape from immune responses and resistance to therapeutics. Although much is known about how genetic variation fuels viral evolution, how modes of viral spread influence the generation and structure of genetic variation remains poorly characterized. Here we examine how the collective dissemination of viruses modulates early infection dynamics and viral diversity. We find that, although infection in groups reduces the number of independently infected cells, it results in a more genetically diverse progeny population, an outcome that may enhance evolutionary potential.

microbiology↗

bioRxiv2025

Quantifying viral pandemic potential from experimental transmission studies

In an effort to avert future pandemics, surveillance studies aimed at identifying zoonotic viruses at high risk of spilling over into humans act to monitor the viral chatter at the animal-human interface. These studies are hampered, however, by the diversity of zoonotic viruses and the limited tools available to assess pandemic risk. Methods currently in use include the characterization of candidate viruses using in vitro laboratory assays and experimental transmission studies in animal models. However, transmission experiments yield relatively low-resolution outputs that are not immediately translatable to projections of viral dynamics at the level of a host population. To address this gap, we present an analytical framework to extend the use of measurements from experimental transmission studies to generate more quantitative risk assessments. Specifically, we use within-host viral titer data from index and contact animals to estimate parameters relevant to transmission, including an estimate of transmissibility. We then extended this model to estimate epidemiological parameters, such as the basic reproductive number and generation interval. To illustrate these approaches, we present them in the context of two influenza A virus (IAV) ferret transmission experiments: one using influenza A/California/07/2009 (Cal/2009) and one using influenza A/Hong Kong/1/1968 (Hong Kong/1968). Despite estimating broadly similar transmissibilities for Cal/2009 and Hong Kong/1968, we conclude that Cal/2009 has a higher pandemic potential. This difference in pandemic potential seems to be primarily driven by its more robust within-host replication. Our results critically depend on several assumptions, namely that the within-host viral dynamics in humans and those in the model animal used (here, ferrets) share quantitative similarities and that viral transmissibility between model animals reflects viral transmissibility between humans. The methods we present to assess relative pandemic risk across viral isolates can be used to improve quantitative risk assessment of other emerging viruses of pandemic concern. Author summaryPandemic viruses often originate in animal reservoirs. Surveillance studies at the animal-human interface try to identify which of the many viruses circulating in animals could cause a pandemic in humans. Experimental transmission studies in animal models are one such method used to characterize potential pandemic viruses. However, only simple outcomes usually get reported from these experiments, such as the fraction of animals that become infected in such an experiment. Here, we develop a framework to extract more information from these experiments. Specifically, we use data on the virus population within infected ferrets to extrapolate information about transmission. We then simulate many transmission events to estimate epidemiological parameters commonly used in public health to quantify pandemic potential. Our methods therefore allow us to use commonly gathered data from experimental transmission studies to estimate epidemic dynamics in humans. This set of methods can be used to compare the relative pandemic risk of animal viruses before they emerge in humans.

microbiology↗

bioRxiv2025

Development and Characterization of Chicken Lung Organoids for Future In Vitro Modeling of Avian Influenza Virus-Host Cell Interaction

High pathogenicity avian influenza viruses pose a growing threat to poultry, livestock, wildlife, and humans as they undergo accelerated expansion of host and geographical ranges. Since 2020, these viruses have driven a panzootic characterized by extensive viral diversification and spillover into species previously considered to be resistant to the disease. There is currently a lack of physiologically relevant in vitro models that can be used to screen the rapidly changing viral landscape. To address this need, we describe the first chicken lung organoids derived from adult stem cells of specific pathogen free White Leghorns. We analyze their gene expression with bulk RNA sequencing, confirm their cellular heterogeneity via single-nuclei RNA sequencing, and provide basic morphological characterization using hematoxylin and eosin staining, immunohistochemistry, immunofluorescence, and transmission electron microscopy. The results indicate that the organoids contained several cell types, including non-ciliated columnar, cuboidal, squamous, and mucin-producing cells, representative of different regions of the avian respiratory system. Furthermore, expression of genes relevant to influenza A virus infection and replication appeared to be conserved across different sample types. These organoids have the potential to effectively and efficiently model viral infection of the chicken lung, enabling the investigation of viral pathogenesis and evolutionary potential, virus-host interactions, and discovery of targets for antiviral treatments.

cell biology↗

bioRxiv2024

Air-Liquid Interface Model for Influenza Aerosol Exposure In Vitro

Airborne transmission is an essential mode of infection and spread of influenza viruses among humans. However, most studies use liquid inoculum for virus infection. To better replicate natural airborne infections in vitro, we generated a calm-aerosol settling chamber system designed to examine the aerosol infectivity of influenza viruses in different cell types. Aerosol inoculation was characterized for multiple influenza A virus (FLUAV) subtypes, including a pandemic 2009 H1N1, a seasonal swine H3N2, and an avian H9N2 using this exposure system. While each FLUAV strain displayed high infectivity within MDCK cells via liquid inoculation, differences in infectivity were observed during airborne inoculation. This was further observed in recently developed immortalized differentiated human airway epithelial cells (BCi-NS1.1) cultured in an air-liquid interface. The airborne infectious dose 50 for each virus was based on the exposure dose per well. Our findings indicate that this system has the potential to enhance our understanding of the factors influencing influenza transmission via the airborne route. This could be invaluable for conducting risk assessments, potentially reducing the reliance on extensive and costly in vivo animal studies. ImportanceThis study presents a significant advancement in influenza research by developing a novel in vitro system to assess aerosol infectivity, a crucial aspect of influenza transmission. The systems ability to differentiate between mammalian-adapted and avian-adapted influenza viruses based on their aerosol infectivity offers a valuable tool for pre-screening the pandemic potential of different strains. This could potentially streamline the risk assessment process and inform public health preparedness strategies. Moreover, the systems capacity to examine aerosol infectivity in human airway epithelial cells provides a more relevant model for studying virus-host interactions in natural airborne infections. Overall, this study provides an accessible platform for investigating aerosol infectivity, which could significantly contribute to our understanding of influenza transmission and pandemic preparedness.

microbiology↗

bioRxiv2024

Dispersal of influenza virus populations within the respiratory tract shapes their evolutionary potential

Viral infections are characterized by dispersal from an initial site to secondary locations within the host. How the resultant spatial heterogeneity shapes within-host genetic diversity and viral evolutionary pathways is poorly understood. Here we show that dispersal within and between the nasal cavity and trachea maintains diversity and is therefore conducive to adaptive evolution, whereas dispersal to the lungs is stochastic and gives rise to population heterogeneity. We infected ferrets either intranasally or by aerosol with a barcoded influenza A/California/07/2009 (H1N1) virus. At 1, 2 or 4 days post infection, dispersal was assessed by collecting 52 samples from throughout the respiratory tract of each animal. Irrespective of inoculation route, barcode compositions across the nasal turbinates and trachea were similar and highly diverse, revealing little constraint on the establishment of infection in the nasal cavity and descent through the trachea. By comparison, infection of the lungs produced genetically distinct viral populations. Lung populations were pauci-clonal, suggesting that each seeded location received relatively few viral genotypes. While aerosol inoculation gave distinct populations at every lung site sampled, within-host dispersal after intranasal inoculation produced larger patches, indicative of local expansion following seeding of the lungs. Throughout the respiratory tract, barcode diversity declined over time, but new diversity was generated through mutation. De novo variants were often unique to a given location, indicating that localized replication following dispersal resulted in population divergence. In summary, dispersal within the respiratory tract operates differently between regions and contributes to the potential for viral evolution to proceed independently in multiple within-host subpopulations.

microbiology↗

bioRxiv2023

Ventilation does not affect influenza virus transmission efficiency in a ferret playpen setup

Sustained community spread of influenza viruses relies on efficient person-to-person transmission. Current experimental transmission systems do not mimic environmental conditions (e.g., air exchange rates, flow patterns), host behaviors or exposure durations relevant to real-world settings. Therefore, results from these traditional systems may not be representative of influenza virus transmission in humans. To address this pitfall, we developed a modified, more realistic transmission setup and used it to investigate the impact of ventilation rates on transmission in a close-range, play-based scenario. In this setup, four immunologically naive recipient ferrets were exposed to a donor ferret infected with a genetically barcoded 2009 H1N1 virus (H1N1pdm09) for four hours. The ferrets interacted in a shared space that included toys, similar to a child care setting. The transmission efficiency was determined under conditions of low and high ventilation rates; air exchange rates of [~] 1.3 hr-1 and 23 hr-1, respectively. Despite the large difference in ventilation rate, transmission efficiency was the same, 50% in two independent replicate studies. The presence of infectious virus or viral RNA on surfaces and in air throughout the exposure area was similar regardless of ventilation rate. While high viral genetic diversity in donor ferret nasal washes was maintained during infection, recipient ferret nasal washes displayed low diversity, revealing a narrow transmission bottleneck regardless of ventilation rate. Our findings indicate that in exposures characterized by frequent close-range, play-based interactions and the presence of fomites, ventilation does not significantly impact transmission efficiency. SignificanceImproved ventilation in building has the potential to reduce transmission of respiratory viruses, but its effect in different settings is not well understood. We developed a novel system to study influenza virus transmission in the ferret animal model in an environment that mimics a child care center. We demonstrate that increased ventilation is not effective at disrupting transmission in this setting, suggesting that transmission occurs mainly at close-range or via fomites. Multiple interventions are needed to reduce the spread of influenza virus in this type of setting.

microbiology↗

bioRxiv2023

Viral expansion after transfer is a primary driver of influenza A virus transmission bottlenecks

For many viruses, narrow bottlenecks acting during transmission sharply reduce genetic diversity in a recipient host relative to the donor. Since genetic diversity represents adaptive potential, such losses of diversity are thought to limit the opportunity for viral populations to undergo antigenic change and other adaptive processes. Thus, a detailed picture of evolutionary dynamics during transmission is critical to understanding the forces driving viral evolution at an epidemiologic scale. To advance this understanding, we used a barcoded virus library and a guinea pig model of transmission to decipher where in the transmission process influenza A virus populations lose diversity. In inoculated guinea pigs, we show that a high level of viral barcode diversity is maintained. Within-host continuity in the barcodes detected across time furthermore indicates that stochastic effects are not pronounced within the inoculated hosts. Importantly, in both aerosol-exposed and direct contact animals, we observed many barcodes at the earliest time point(s) positive for infectious virus, indicating robust transfer of diversity through the environment. This high viral diversity is short-lived, however, with a sharp decline seen 1-2 days after initiation of infection. Although major losses of diversity at transmission are well described for influenza A virus, our data indicate that events that occur following viral transfer and during the earliest stages of natural infection have a central role in this process. This finding suggests that host factors, such as immune effectors, may have greater opportunity to impose selection during influenza A virus transmission than previously recognized.

microbiology↗

bioRxiv2023

Genetic drift and purifying selection shape within-host influenza A virus populations during natural swine infections

Patterns of within-host influenza A virus (IAV) diversity and evolution have been described in natural human infections, but these patterns remain poorly characterized in non-human hosts. Elucidating these dynamics is important to better understand IAV biology and the evolutionary processes that govern spillover into humans. Here, we sampled an IAV outbreak in pigs during a week-long county fair to characterize viral diversity and evolution in this important reservoir host. Nasal wipes were collected on a daily basis from all pigs present at the fair, yielding up to 421 samples per day. Subtyping of PCR-positive samples revealed the co-circulation of H1N1 and H3N2 subtype IAVs. PCR-positive samples with robust Ct values were deep-sequenced, yielding 506 sequenced samples from a total of 253 pigs. Based on higher-depth re-sequenced data from a subset of these initially sequenced samples (260 samples from 168 pigs), we characterized patterns of within-host IAV genetic diversity and evolution. We find that IAV genetic diversity in single-subtype infected pigs is low, with the majority of intra-host single nucleotide variants (iSNVs) present at frequencies of <10%. The ratio of the number of nonsynonymous to the number of synonymous iSNVs is significantly lower than under the neutral expectation, indicating that purifying selection shapes patterns of within-host viral diversity in swine. The dynamic turnover of iSNVs and their pronounced frequency changes further indicate that genetic drift also plays an important role in shaping IAV populations within pigs. Taken together, our results highlight similarities in patterns of IAV genetic diversity and evolution between humans and swine, including the role of stochastic processes in shaping within-host IAV dynamics.

evolutionary biology↗

bioRxiv2022

Influenza A virus coinfection dynamics are shaped by distinct virus-virus interactions within and between cells

When multiple viral populations propagate within the same host environment, they often shape each others dynamics. These interactions can be positive or negative and can occur at multiple scales, from coinfection of a cell to co-circulation at a global population level. For influenza A viruses (IAVs), the delivery of multiple viral genomes to a cell substantially increases burst size. However, despite its relevance for IAV evolution through reassortment, the implications of this positive density dependence for coinfection between distinct IAVs has not been explored. Furthermore, the extent to which these interactions within the cell shape viral dynamics at the level of the host remains unclear. Here we show that, within cells, coinfecting IAVs strongly augment the replication of a focal strain, irrespective of the native host of the coinfecting IAV or its homology to the focal strain. Coinfecting viruses with a low intrinsic reliance on multiple infection offer the greatest benefit. Nevertheless, virus-virus interactions at the level of the whole host are antagonistic. This antagonism is recapitulated in cell culture when the coinfecting virus is introduced several hours prior to the focal strain or under conditions conducive to multiple rounds of viral replication. Together, these data suggest that beneficial virus-virus interactions within cells are counterbalanced by competition for susceptible cells during viral propagation through a tissue. The integration of virus-virus interactions across scales is critical in defining the outcomes of viral coinfection.

microbiology↗

bioRxiv2022

Memory CD4 T cell subset organization in the female reproductive tract is regulated via the menstrual cycle through CCR5 signaling

Despite their importance for immunity against sexually transmitted infections (STIs), the composition of the female reproductive tract (FRT) memory CD4 T cell population in response to changes in the local tissue environment during the menstrual cycle remains poorly defined. Here we show that across humans, non-human primates (NHP), and mice, FRT CD4 T cells comprise distinct subsets corresponding to migratory memory (TMM) and resident memory (TRM) cells. TMM display tissue-itinerant trafficking characteristics, restricted FRT tissue distribution, with distinct transcriptional properties and effector responses to infection. CD4 T cell subset fluctuations synchronized with cycle-driven proinflammatory changes within the local tissue environment and oral administration of a CCR5 antagonist inhibited cycle phase-specific migratory T cell surveillance. This study provides novel insights into the dynamic nature of FRT memory CD4 T cells and identifies the menstrual cycle as a key regulator of memory T cell defense at the site of STI exposure. SummaryThe menstrual cycle regulates memory T cell surveillance.

immunology↗