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July 21, 2025Open Access

Interacting Hosts with Microbiome Exchange: An Extension of Metacommunity Theory for Discrete Interactions

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Authors

MJMichael JohnsonMPMason A. Porter

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Overview

Modeling framework shows how discrete interactions affect microbiome dynamics in hosts, indicating that interaction frequency is crucial.

Key Points

  • The proposed modeling framework uses two parameters to control interaction frequency and microbiome exchange between hosts.
  • Analytical approximations derived are shown to be accurate under specific parameter regimes, supporting the framework's validity.
  • Microbiome convergence across hosts is sensitive to interaction strength and frequency, highlighting their importance in dynamics.
  • This work enhances understanding of microbiome interactions in discrete time, expanding metacommunity theory applications.
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Cite This Study

Johnson et al. (2025) studied this question.

synapsesocial.com/papers/689a060ee6551bb0af8cd3a2https://doi.org/10.1101/2025.07.16.665033
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Multiscale Metapopulations2025
  2. 2Pairwise interactions and serial bottlenecks help explain species composition in a multispecies microbial community2026 · 1 citations
  3. 3Infections as ecosystems: community metabolic interactions in microbial pathogenesis2025
  4. 4Environmental context shapes microbial co-occurrence2025
  5. 5Elementary vectors reveal minimal interactions in microbial communities2025