The admixed brushtail possum genome reveals invasion history in New Zealand and novel imprinted genes.

Combining genome assembly with population and functional genomics can provide valuable insights to development and evolution, as well as tools for species management. Here, we present a chromosome-level genome assembly of the common brushtail possum (Trichosurus vulpecula), a model marsupial threatened in parts of their native range in Australia, but also a major introduced pest in New Zealand. Functional genomics reveals post-natal activation of chemosensory and metabolic genes, reflecting unique adaptations to altricial birth and delayed weaning, a hallmark of marsupial development. Nuclear and mitochondrial analyses trace New Zealand possums to distinct Australian subspecies, which have subsequently hybridised. This admixture allowed phasing of parental alleles genome-wide, ultimately revealing at least four genes with imprinted, parent-specific expression not yet detected in other species (MLH1, EPM2AIP1, UBP1 and GPX7). We find that reprogramming of possum germline imprints, and the wider epigenome, is similar to eutherian mammals except onset occurs after birth. Together, this work is useful for genetic-based control and conservation of possums, and contributes to understanding of the evolution of novel mammalian epigenetic traits.

Impact of Exposure to Patient Death or Near Death on Compassion Fatigue in Pediatric Intensive Care Nurses.

BACKGROUND: Compassion fatigue affects up to 40% of health care professionals who work in intensive care settings. Frequent exposure to the death of patients, particularly children, may put nurses at risk for compassion fatigue, but the relation between these is unclear among those working in pediatric intensive care units. OBJECTIVES: To examine the relationship between exposure to the death or near death of a pediatric patient and compassion fatigue, specifically the outcomes of compassion satisfaction, burnout, and secondary traumatic stress. METHODS: Pediatric and neonatal intensive care nurses were surveyed about their exposure to patient death and near-death experiences. They were asked to respond to the Professional Quality of Life Scale, which has 3 subscales that measure compassion satisfaction, burnout, and secondary traumatic stress. Bivariate and multivariate linear regression modeling was used to identify correlates of these outcomes. RESULTS: Of the 65 respondents, 94% were female, 41% were aged 31 to 45 years, and 71% had a bachelor's degree. No significant relationship was found between nurses' experiences of patient death or near death and their compassion satisfaction, burnout, or secondary traumatic stress. Significant correlates of compassion satisfaction and burnout included educational level and an age-experience interaction. CONCLUSIONS: No relationship seems to exist between nurses' experiences of patient death or near death and their compassion satisfaction, burnout, or secondary traumatic stress. Further research is needed to evaluate the impact of educational attainment on nurse outcomes and determine how best to support nurses who are at risk for compassion fatigue.

Spatial utilization predicts animal social contact networks are not scale-free.

While heterogeneity in social behaviour has been described in many human contexts it is often assumed to be less common in the animal kingdom even though scale-free networks are observed. This homogeneity raises the question of whether the patterns of behaviour necessary to account for scale-free social contact networks, where the degree distribution follows a power law, i.e. a few individuals are very highly connected but most have only a few connections, occur in animals, or whether other mechanisms are needed to produce realistic contact network architectures. We develop a space-utilization model for individual animal behaviour to predict the individuals' social contact network. Using basic properties of the χ2 distribution we present a simple analytical result that allows the model to give a range of predictions with minimal computational effort. The model results are tested on data collected in New Zealand for the social contact networks of the wild brushtail possum (Trichosurus vulpecula). Our model provides a better prediction of network architecture than other simple models, including a scale-free model.

Sex difference in the survival rate of wild brushtail possums (Trichosurus vulpecula) experimentally challenged with bovine tuberculosis.

The main wildlife reservoir of bovine tuberculosis (TB) in New Zealand is the introduced brushtail possum (Trichosurus vulpecula), with spillover of infection from possums to livestock being regarded as the largest barrier to eradicating TB from the country. Past studies have experimentally challenged possums with Mycobacterium bovis (the causative agent of TB) to quantify infection parameters. However, the challenge models used are invariably non-representative of natural infection due to their resulting in much faster rates, and different clinical patterns of disease progression. We monitored the survival of 16 wild free-living possums, fitted with VHF mortality collars and experimentally challenged with a new model, out to six months post-challenge. The aim was to assess whether the new model does indeed result in an ongoing pathogenesis trajectory that is more reflective of natural TB in possums. The mean survival period of challenged possums (~4.6months) did not differ from that estimated for wild free-living possums with naturally acquired TB. In addition, and unexpectedly, infected males survived on average for five weeks longer than females. This significant difference has not been previously observed in experimental trials with other TB/possum challenge models. If this is reflective of natural disease (as is the survival period produced by the percutaneous challenge model), TB infected males in the wild may be generating more secondary cases of infection than infected females. This insight has important implications for understanding the dynamics of, and managing, the disease in its New Zealand wildlife reservoir.

Toward a Mechanistic Understanding of Environmentally Forced Zoonotic Disease Emergence: Sin Nombre Hantavirus.

Understanding the environmental drivers of zoonotic reservoir and human interactions is crucial to understanding disease risk, but these drivers are poorly predicted. We propose a mechanistic understanding of human-reservoir interactions, using hantavirus pulmonary syndrome as a case study. Crucial processes underpinning the disease's incidence remain poorly studied, including the connectivity among natural and peridomestic deer mouse host activity, virus transmission, and human exposure. We found that disease cases were greatest in arid states and declined exponentially with increasing precipitation. Within arid environments, relatively rare climatic conditions (e.g., El Niño) are associated with increased rainfall and reservoir abundance, producing more frequent virus transmission and host dispersal. We suggest that deer mice increase their occupancy of peridomestic structures during spring-summer, amplifying intraspecific transmission and human infection risk. Disease incidence in arid states may increase with predicted climatic changes. Mechanistic approaches incorporating reservoir behavior, reservoir-human interactions, and pathogen spillover could enhance our understanding of global hantavirus ecology, with applications to other directly transmitted zoonoses.

Human exposure to particulate matter potentially contaminated with sin nombre virus.

The most common mechanism for human exposure to hantaviruses throughout North America is inhalation of virally contaminated particulates. However, risk factors associated with exposure to particulates potentially contaminated with hantaviruses are generally not well understood. In North America, Sin Nombre virus (SNV) is the most common hantavirus that infects humans, causing hantavirus pulmonary syndrome, which has a significant mortality rate (approximately 35%). We investigated human exposure to particulate matter and evaluated the effects of season, location (sylvan and peridomestic environment), and activity (walking and sweeping) on generation of particulates at the breathing zone (1.5 m above the ground). We found greater volumes of small inhalable particulates during the spring and summer compared to the fall and winter seasons and greater volumes of small inhalable particulates produced in peridomestic, compared to sylvan, environments. Also, greater volumes of particulates were generated at the breathing zone while walking compared to sweeping. Results suggest that more aerosolized particles were generated during the spring and summer months. Our findings suggest that simply moving around in buildings is a significant source of human exposure to particulates, potentially contaminated with SNV, during spring and summer seasons. These findings could be advanced by investigation of what particle sizes SNV is most likely to attach to, and where in the respiratory tract humans become infected.