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Conservation efforts for the orange-bellied parrot (Neophema chrysogaster), one of the world's most critically endangered bird species, have been hampered by beak and feather disease virus (BFDV) spillover infection. To understand the vulnerability of orange-bellied parrots to potential reservoirs of infection we investigated geographic versus taxonomic structure in 160 full-genome and 319 partial Rep gene BFDV sequences from captive and wild orange-bellied parrots and other wild parrot species in Australia. We found that Australian BFDV populations are structured by host taxonomy. By identifying genetic stratification of BFDV in reservoir hosts we characterized three separate recent incursions of BFDV into orange-bellied parrots from other wild parrots, which demonstrates the susceptibility of critically endangered species to multiple threats of pathogen re-emergence. Our study highlighted how loss of endemic circulating BFDV in orange-bellied parrots precipitated repeated spillover into an immunologically naïve population, causing significant disease. [ABSTRACT FROM AUTHOR]

The long-term effect of population-level human papillomavirus (HPV) vaccination on the viral ecology of the untargeted HPVs is poorly understood. We performed an 8-year follow-up of 33 communities randomized to gender-neutral HPV16/18 vaccination, girls-only HPV16/18 vaccination, and control communities without HPV vaccination. The 1992/93 and 1994 birth cohorts were invited in school years 2007/8 and 2008/9. Follow-up cervico-vaginal sampling at 18 and 22 years of age, 4 and 8 years post-vaccination, respectively, were attended by 11,396 and 5,602 participants. HPV types 6/11/16/18/31/33/35/39/45/51/52/56/58/59/66/68 were genotyped and used for the community-level ecological diversity estimations. Gender-neutral vaccination communities with a stronger herd immunity than girls-only vaccination communities show a significantly increased HPV α-diversity (p = 1.1 × 10−8) from 4 to 8 years post-vaccination, despite the clearance of the vaccine-targeted HPVs in these communities. This likely sign of niche occupation by the non-vaccine-targeted HPVs will potentially affect the future cervical cancer screening programs but should not interfere with the WHO mission to eliminate cervical cancer. [Display omitted] • Examination of the long-term effect of HPV vaccination on the ecology of untargeted HPVs • Community-level depletion of vaccine-targeted HPV types occurs 4 years post-vaccination • HPVs' ecological diversity increases 8 years post gender-neutral vaccination alone • Observed ecological diversity increases despite the clearance of vaccine-targeted HPVs Depletion of oncogenic HPV types 16/18/31/45 through population-level vaccination is effective, but the niche occupation by the non-vaccine-targeted HPVs is poorly comprehended. Pimenoff et al. employ an ecological niche approach using community-randomized HPV vaccination data, which show a significantly rising ecological diversity of low oncogenic HPVs in gender-neutral vaccination communities 8 years post-vaccination. [ABSTRACT FROM AUTHOR]

The influence of virus type (PRD1 and ΦX174), temperature (flow at 4 and 20°C), a no-flow storage duration (0, 36, 46, and 70 d), and temperature cycling (flow at 20°C and storage at 4°C) on virus transport and fate were investigated in saturated sand-packed columns. The vast majority (84-99.5%) of viruses were irreversibly retained on the sand, even in the presence of deionized water and beef extract at pH = 11. The reversibly retained virus fraction (fr) was small (1.6 x 10-5 to 0.047) but poses a risk of long-term virus contamination. The value of fr) and associated transport risk was lower at a higher temperature and for increases in the no-flow storage period due to the temperature dependency of the solid phase inactivation. A model that considered advective--dispersive transport, attachment (katt), detachment (kdet), solid phase inactivation (μs), and liquid phase inactivation (μl) coefficients, and a Langmuirian blocking function provided a good description of the early portion of the breakthrough curve. The removal parameters were found to be in the order of katt > μs >> μl. Furthermore, μs), was an order of magnitude higher than μl for PRD1, whereas μs was two and three orders of magnitude higher than μl for ΦX174 at 4 and 20°C, respectively. Transport modeling with two retention, release, and inactivation sites demonstrated that a small fraction of viruses exhibited a much slower release and solid phase inactivation rate, presumably because variations in the sand and virus surface roughness caused differences in the strength of adhesion. These findings demonstrate the importance of solid phase inactivation, temperature, and storage periods in eliminating virus transport in porous media. This research has potential implications for managed aquifer recharge applications and guidelines to enhance the virus removal by controlling the temperature and aquifer residence time. [ABSTRACT FROM AUTHOR]

The article discusses a study led by researchers at the University of Oklahoma and Georgetown University which harnessed the power of artificial intelligence (AI) to aid in the search for the next coronavirus host. Topics include information on SARS-CoV-3, the virus responsible for the COVID-19 pandemic; challenge in the traditional methods of identifying natural reservoirs of pathogens; and role of statistical models in identifying which pathogen targets are a priority.

Copyright of Basic & Applied Ecology is the property of Urban & Fischer Verlag and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Hantaviruses cause hemorrhagic fever with renal syndrome (HFRS) in Eurasia. In Europe both the amplitude and the magnitude of outbreaks of HFRS have increased. The mechanisms that drive the incidences are complex and multi-factorial and only partially due to increased awareness and improved diagnostic tools. Risk determinants include reservoir ecology, virus ecology and anthropogenic factors. The dogma of one specific rodent species as primordial reservoir for a specific hantavirus is increasingly challenged. New hantaviruses have been discovered in shrews, moles and bats and increasing evidence points at host-switching events and co-circulation in multiple, sympatric reservoir species, challenging the strict rodent–virus co-evolution theory. Changing landscape attributes and climatic parameters determine fluctuations in hantavirus epidemiology, for instance through increased food availability, prolonged virus survival and decreased biodiversity. [ABSTRACT FROM AUTHOR]

The emergence of novel viral diseases is driven by socioeconomic, demographic and environmental changes. These include land use changes such as deforestation, agricultural expansion and habitat degradation. However, the links between land use change and disease emergence are poorly understood and probably complex. In this review, we propose two hypotheses for the mechanisms by which land use change can lead to viral emergence: firstly, by perturbing disease dynamics in multihost disease systems via impacts on cross-species transmission rates (the ‘perturbation’ hypothesis); and secondly, by allowing exposure of novel hosts to a rich pool of pathogen diversity (the ‘pathogen pool’ hypothesis). We discuss ways by which these two hypotheses might be tested using a combination of ecological and virological approaches, and how this may provide novel control and prevention strategies. [ABSTRACT FROM AUTHOR]

Routine monitoring of relevant environmental viruses is of great importance for public health and quality assessment. Even though cell culture (i.e., viral infectivity assay) is still regarded as the golden standard, use of new strategies based on the molecular techniques significantly increased in the past years. Specific and rapid detection are main advantages of this alternative approach. Furthermore, integration of cell culture or propidium monoazide treatment with nucleic acid amplification allows for the differentiation of infectious particles. Additional recently reported approaches for the detection of viruses include, among others, whole transcriptome amplification and cell culture combined with Fourier transform infrared spectroscopy. Noteworthy is also the fact, that regardless of the selected detection method, sample preparation still remains the major bottleneck. [ABSTRACT FROM AUTHOR]

• Ebola virus disease outbreaks are sporadic and complex and data on the possible animal hosts sparse. • Ensemble niche models predict bat birthing varies spatially and temporally across mainland Africa along a latitudinal gradient. • African fruit bat-related birthing terms improve spatio-temporal models of Ebola virus spillover across mainland Africa. • Best model predictions of the 2018 EVD outbreaks in the Democratic Republic of the Congo to fall within the top 12–35% and 0.1% of all cells analysed in mainland Africa. Ebola virus disease (EVD) presents a threat to public health throughout equatorial Africa. Despite numerous 'spillover' events into humans and apes, the maintenance reservoirs and mechanism of spillover are poorly understood. Evidence suggests fruit bats play a role in both instances, yet data remain sparse and bats exhibit a wide range of life history traits. Here we pool sparse data and use a mechanistic approach to examine how birthing cycles of African fruit bats, molossid bats, and non-molossid microbats inform the spatio-temporal occurrence of EVD spillover. We create ensemble niche models to predict spatio-temporally varying bat birthing and model outbreaks as spatio-temporal Poisson point processes. We predict three distinct annual birthing patterns among African bats along a latitudinal gradient. Of the EVD spillover models tested, the best by quasi-Akaike information criterion (qAIC) and by out of sample prediction included significant African bat birth-related terms. Temporal bat birthing terms fit in the best models for both human and animal outbreaks were consistent with hypothesized viral dynamics in bat populations, but purely spatial models also performed well. Our best model predicted risk of EVD spillover at locations of the two 2018 EVD outbreaks in the Democratic Republic of the Congo was within the top 12–35% and 0.1% of all 25 × 25 km spatial cells analyzed in sub-Saharan Africa. Results suggest that sparse data can be leveraged to help understand complex systems. [ABSTRACT FROM AUTHOR]

Copyright of Avian Diseases is the property of American Association of Avian Pathologists, Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)