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24 results for “pathogen spread”
Iceland as stepping stone for intercontinental spread of highly pathogenic avian influenza H5N1 virus between Europe and North America: data set on phylogeographic analysis
<p>Highly pathogenic avian influenza viruses (HPAIV) subtype H5 clade 2.3.4.4b have widely spread within the northern hemisphere since 2020 and threaten wild bird populations as well as poultry production. For the very first time, HPAIV were detected in wild birds and, subsequently, in poultry holdings in Iceland.</p> <p>Here, we present phylogeographic evidence that Iceland has been used as a stepping stone for HPAIV translocation from Northern Europe to North America in 2021 and describe two independent incursions of HPAI H5N1 clade 2.3.4.4b viruses of two different genotypes to Iceland in 2021 and 2022.</p>
Fig. 4 in Spread of moniesiosis pathogens in livestock in the Ganja-Gazakh Region of the Republic of Azerbaijan: Bio-ecological features
Fig. 4. Correlation between season and spread of moniesiosis pathogens in goats Рис. 4. Зависимость распространения возбуÃитеΛей мониезиоза от сезонов гоÃа
Fig. 3 in Spread of moniesiosis pathogens in livestock in the Ganja-Gazakh Region of the Republic of Azerbaijan: Bio-ecological features
Fig. 3. Age-dependent dynamics of moniesiosis pathogens Рис. 3. Возрастная Ãинамика заражения мониезиями овец и коз
Fig. 1 in Spread of moniesiosis pathogens in livestock in the Ganja-Gazakh Region of the Republic of Azerbaijan: Bio-ecological features
Fig. 1. Spread of moniesiosis pathogens in sheep in different landscape/ecological territories Рис. 1. Распространение возбуÃитеΛей мониезиоза среÃи овец в ΛанÃшафтно-экоΛоги- ческих зонах
Fig. 2 in Spread of moniesiosis pathogens in livestock in the Ganja-Gazakh Region of the Republic of Azerbaijan: Bio-ecological features
Fig. 2. Spread of moniesiosis pathogens in goats in different landscape/ecological territories Рис. 2. Распространение возбуÃитеΛей мониезиоза коз по ΛанÃшафтно-экоΛогическим зонам
Habitat specialization by wildlife reduces pathogen spread in urbanizing landscapes
<p>Urban areas are expanding globally, with far-reaching ecological consequences, including for wildlife-pathogen interactions. Wildlife show tremendous variation in their responses to urbanization; even within a single population, some individuals can specialize on urban or natural habitat types. This specialization could alter pathogen impacts on host populations via changes to wildlife movement and aggregation. Here, we build a mechanistic model to explore how habitat specialization in urban landscapes affects interactions between a mobile host population and a density-dependent specialist pathogen that confers no immunity. We model movement on a network of resource-stable urban sites and resource-fluctuating natural sites, where hosts are either urban specialists, natural specialists, or generalists that use both patch types. We find that, for generalists, natural and partially urban landscapes produce the highest infection prevalence and mortality, driven by high movement rates at natural sites and high densities at urban sites. However, habitat specialization protects hosts from these negative effects of partially urban landscapes by limiting movement between patch types. These findings suggest that habitat specialization can benefit populations by reducing infectious disease transmission, but by reducing movement between habitat types could also carry the cost of reducing other movement-related ecosystem functions such as seed dispersal and pollination.</p>
Habitat specialization by wildlife reduces pathogen spread in urbanizing landscapes
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The spread of a wild plant pathogen is driven by the road network
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Data from: Pliant pathogens: estimating viral spread when confronted with new vector, host, and environmental conditions
<p>1. Pathogen spread rates are determined, in part, by the performance of pathogens under altered environmental conditions and their ability to persist while switching among hosts and vectors.</p> <p>2. To determine the effects of new conditions (host, vector, and nutrient) on pathogen spread rate, we introduced a vector-borne, viral plant pathogen, Barley Yellow Dwarf Virus PAV (BYDV-PAV) into hosts, vectors, and host nutrient supplies that it had not encountered for thousands of viral generations. We quantified pathogen prevalence over the course of two serial inoculations under the new conditions. Using individual level transmission rates from this experiment, we parameterized a dynamical model of disease spread and projected spread across host populations through a growing season. </p> <p>3. A change in nutrient conditions (increased supply of phosphorus) reduced viral transmission whereas shifting to a new vector or host species had no effect on infection prevalence. However, the reduction in the new nutrient environment was only temporary; infection prevalence recovered after the second inoculation.</p> <p><i>4. Synthesis</i>. These results highlight how robust the pathogen, BYDV-PAV, is to changes in its biotic and abiotic environment. Our study also highlights the need to quantify longitudinal infection information beyond snapshot assessments to project disease risk for pathogens in new environments.</p>
Ecogeographic drivers of the spatial spread of highly pathogenic avian influenza outbreaks in Europe and North America, 2016–2022
<p>H5Nx highly pathogenic avian influenza (HPAI) viruses of clade 2.3.4.4 have caused outbreaks in Europe among wild and domestic birds since 2016 and were introduced to North America via wild migratory birds in December 2021. We examined the spatiotemporal extent of HPAI viruses across continents and characterize ecological and environmental predictors of virus spread between geographic regions through constructing a Bayesian phylodynamic generalized linear model (phylodynamic-GLM). Findings demonstrate localized epidemics of H5Nx throughout Europe in the first several years of the epizootic, followed by a singular branching point where H5N1 viruses were introduced to North America, likely via stopover locations throughout the North Atlantic. Once in the US, H5Nx viruses spread at a greater rate between US-based regions and no evidence demonstrated spread back to any European region. We establish that geographic proximity is a predictor of virus spread between regions, which implies that inter-continental transport across the Atlantic Ocean is relatively rare. Increase in mean ambient temperature over time was predictive of reduced H5Nx virus spread, which may reflect the effect of climate change on declines in host species abundance, decreased persistence of the virus in the environment, or changes in migratory patterns due to ecological alterations. Our data provide new knowledge about the spread and directionality of H5Nx virus dispersal in Europe and North America during an actively evolving inter-continental outbreak, including predictors of virus movement between regions, which will contribute to surveillance and mitigation strategies as the outbreak unfolds, and in future instances of uncontained avian spread of HPAI viruses.</p>
Ecogeographic drivers of the spatial spread of highly pathogenic avian influenza outbreaks in Europe and North America, 2016–2022
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Data from: Pliant pathogens: Estimating viral spread when confronted with new vector, host, and environmental conditions
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Anthropogenic activity and climate change exacerbate the spread of pathogenic bacteria in the environment
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Data from Pliant pathogens: Estimating viral spread when confronted with new vector, host, and environmental conditions
To determine the effects of new conditions (host, vector, and nutrient) on pathogen spread rate, we introduced a vector-borne viral plant pathogen, Barley Yellow Dwarf Virus PAV (BYDV-PAV) into hosts, vectors, and host nutrient supplies that it had not encountered for thousands of viral generations. We quantified pathogen prevalence over the course of two serial inoculations under the new conditions.
Data from: Pathogens manipulate the preference of vectors, slowing disease spread in a multi-host system
The spread of vector‐borne pathogens depends on a complex set of interactions among pathogen, vector, and host. In single‐host systems, pathogens can induce changes in vector preferences for infected vs. healthy hosts. Yet it is unclear if pathogens also induce changes in vector preference among host species, and how changes in vector behaviour alter the ecological dynamics of disease spread. Here, we couple multi‐host preference experiments with a novel model of vector preference general to both single and multi‐host communities. We show that viruliferous aphids exhibit strong preferences for healthy and long‐lived hosts. Coupling experimental results with modelling to account for preference leads to a strong decrease in overall pathogen spread through multi‐host communities due to non‐random sorting of viruliferous vectors between preferred and non‐preferred host species. Our results demonstrate the importance of the interplay between vector behaviour and host diversity as a key mechanism in the spread of vectored‐diseases.
Data from: Patterns of colonization and spread in the fungal spruce pathogen Onnia tomentosa
The basidiomycetous fungus Onnia tomentosa is one of the most widespread root rot pathogens in North America. Although the disease is more severe on spruce and pine trees, this pathogen can infect several coniferous species. In order to study the population structure of O. tomentosa, we harvested 180 basidiocarps in a 45-year-old white spruce plantation in western Quebec in autumn 1997, and extracted DNA directly from individual basidiocarps. Using a combination of spatial coordinates and molecular data based on the analysis of two mitochondrial and three nuclear loci, we measured the average genet size and molecular diversity and assessed the relative contribution of basidiospores and vegetative growth to the stand colonization. Most of the sampled basidiocarps that clustered spatially belonged to the same genet. A total of thirty-seven discrete multilocus genets of an average size of 3.42 m were obtained. The genet size distribution was skewed toward smaller genets (< 3 m) that displayed higher diversity than the larger genets (> 3 m). The nuclear loci were in Hardy-Weinberg equilibrium in the larger genets, but not in the smaller genets, which displayed a deficiency of heterozygotes. This suggests a Wahlund effect, whereby different colonization events resulted in expected heterozygosity higher than observed heterozygosity. Using an estimate of the growth rate of the fungus, only a few of the largest genets were approximately the age of the plantation. These observations are consistent with the colonization by basidiospores subsequent to site preparation and tree planting followed by secondary colonization events and vegetative spread.
Data from: Pathogens manipulate the preference of vectors, slowing disease spread in a multi-host system
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Data from: Disentangling the genetic origins of a plant pathogen during disease spread using an original molecular epidemiology approach
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Data from: Accuracy of climate-based forecasts of pathogen spread
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Data from: Host dispersal responses to resource supplementation determine pathogen spread in wildlife metapopulations
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.