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This summary is machine-generated.

Predicting wildlife viral communities is challenging. This study reveals deterministic processes shape these communities, suggesting some viral changes are predictable, though not all.

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Area of Science:

  • Virology
  • Ecology
  • Microbial Ecology

Background:

  • Understanding viral community assembly is crucial for predicting disease dynamics.
  • The predictability of viral community composition in wildlife remains largely unknown.
  • Deterministic (predictable) versus stochastic (random) processes are key to community assembly.

Purpose of the Study:

  • To investigate whether wildlife viral communities are inherently structured, implying predictability.
  • To determine if viral community assembly in macaques is driven by deterministic or stochastic processes.
  • To assess the potential for forecasting changes in wildlife viral communities.

Main Methods:

  • Sampling of macaque fecal matter across nine sites in Bangladesh.
  • Discovery of 184 viruses from 14 viral families using consensus PCR and sequencing.
  • Application of network modeling and statistical null-hypothesis testing to analyze community structure.

Main Results:

  • Non-random, deterministic patterns were identified at multiple scales (inter-site and intra-individual).
  • Evidence suggests both deterministic and stochastic processes contribute to viral community assembly.
  • The influence of determinism varies, indicating partial predictability.

Conclusions:

  • Deterministic processes play a significant role in wildlife viral community assembly.
  • Forecasting changes in a portion of viral communities is feasible.
  • Complete prediction of all viral community changes remains unlikely due to ongoing stochastic influences.