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The evolution of symbiotic interactions may be affected by unpredictable conditions. However, a link between prevalence of these conditions and symbiosis has not been widely demonstrated. We test for these associations usingDictyostelium discoideumsocial amoebae and their bacterial endosymbionts.D. discoideumcommonly hosts endosymbiotic bacteria from three taxa:Paraburkholderia, Amoebophilusand Chlamydiae. Three species of facultativeParaburkholderiaendosymbionts are the best studied and give hosts the ability to carry prey bacteria through the dispersal stage to new environments.Amoebophilusand Chlamydiae are obligate endosymbiont lineages with no measurable impact on host fitness. We tested whether the frequency of both single infections and coinfections of these symbionts were associated with the unpredictability of their soil environments by using symbiont presence-absence data fromD. discoideumisolates from 21 locations across the eastern United States. We found that symbiosis across all infection types, symbiosis withAmoebophilusand Chlamydiae obligate endosymbionts, and symbiosis involving coinfections were not associated with any of our measures. However, unpredictable precipitation was associated with symbiosis in two species ofParaburkholderia, suggesting a link between unpredictable conditions and symbiosis.
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Modelling dynamics between free‐living amoebae and bacteria
Abstract Free‐living amoebae (FLA) serve as hosts for a variety of endosymbionts, which are microorganisms that reside and multiply within the FLA. Some of these endosymbionts pose a pathogenic threat to humans, animals, or both. The symbiotic relationship with FLA not only offers these microorganisms protection but also enhances their survival outside their hosts and assists in their dispersal across diverse habitats, thereby escalating disease transmission. This review is intended to offer an exhaustive overview of the existing mathematical models that have been applied to understand the dynamics of FLA, especially concerning their interactions with bacteria. An extensive literature review was conducted across Google Scholar, PubMed, and Scopus databases to identify mathematical models that describe the dynamics of interactions between FLA and bacteria, as published in peer‐reviewed scientific journals. The literature search revealed several FLA–bacteria model systems, includingPseudomonas aeruginosa,Pasteurella multocida, andLegionellaspp. Although the published mathematical models account for significant system dynamics such as predator–prey relationships and non‐linear growth rates, they generally overlook spatial and temporal heterogeneity in environmental conditions, such as temperature, and population diversity. Future mathematical models will need to incorporate these factors to enhance our understanding of FLA–bacteria dynamics and to provide valuable insights for future risk assessment and disease control measures.
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- Award ID(s):
- 2238388
- PAR ID:
- 10509969
- Publisher / Repository:
- Wiley-Blackwell
- Date Published:
- Journal Name:
- Environmental Microbiology
- Volume:
- 26
- Issue:
- 5
- ISSN:
- 1462-2912
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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