
AbstractIt is currently unclear whether changes in viral communities will ever be predictable. Here we investigate whether viral communities in wildlife are inherently structured (inferring predictability) by looking at whether communities are assembled through deterministic (often predictable) or stochastic (not predictable) processes. We sample macaque faeces across nine sites in Bangladesh and use consensus PCR and sequencing to discover 184 viruses from 14 viral families. We then use network modelling and statistical null-hypothesis testing to show the presence of non-random deterministic patterns at different scales, between sites and within individuals. We show that the effects of determinism are not absolute however, as stochastic patterns are also observed. In showing that determinism is an important process in viral community assembly we conclude that it should be possible to forecast changes to some portion of a viral community, however there will always be some portion for which prediction will be unlikely.
Diversity (politics), Evolutionary biology, Agricultural and Biological Sciences, Computational biology, Feces, Sociology, viral spread, 2.2 Factors relating to the physical environment, Aetiology, Bangladesh, Determinism, Ecology, Modeling the Dynamics of COVID-19 Pandemic, Physics, Monkey Diseases, Statistics, Life Sciences, Null model, Biological Sciences, FOS: Sociology, Biological sciences, Virus Diseases, Modeling and Simulation, Viruses, Physical Sciences, Medicine, Infection, Macaque, 570, Molecular Sequence Data, Wild, Dynamics of Livestock Disease Transmission and Control, Animals, Wild, Emerging Zoonotic Diseases and One Health Approach, Microbiology, Quantum mechanics, Article, Virology, 616, Health Sciences, FOS: Mathematics, Animals, Biology, Public Health, Environmental and Occupational Health, Genetic Variation, Predictability, Macaca mulatta, Computer science, FOS: Biological sciences, Anthropology, Agronomy and Crop Science, Mathematics
Diversity (politics), Evolutionary biology, Agricultural and Biological Sciences, Computational biology, Feces, Sociology, viral spread, 2.2 Factors relating to the physical environment, Aetiology, Bangladesh, Determinism, Ecology, Modeling the Dynamics of COVID-19 Pandemic, Physics, Monkey Diseases, Statistics, Life Sciences, Null model, Biological Sciences, FOS: Sociology, Biological sciences, Virus Diseases, Modeling and Simulation, Viruses, Physical Sciences, Medicine, Infection, Macaque, 570, Molecular Sequence Data, Wild, Dynamics of Livestock Disease Transmission and Control, Animals, Wild, Emerging Zoonotic Diseases and One Health Approach, Microbiology, Quantum mechanics, Article, Virology, 616, Health Sciences, FOS: Mathematics, Animals, Biology, Public Health, Environmental and Occupational Health, Genetic Variation, Predictability, Macaca mulatta, Computer science, FOS: Biological sciences, Anthropology, Agronomy and Crop Science, Mathematics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 73 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
