Paraburkholderia Symbionts Display Variable Infection Patterns That Are Not Predictive of Amoeba Host Outcomes

Genes (Basel). 2020 Jun 20;11(6):674. doi: 10.3390/genes11060674.

Abstract

Symbiotic interactions exist within a parasitism to mutualism continuum that is influenced, among others, by genes and context. Dynamics of intracellular invasion, replication, and prevalence may underscore both host survivability and symbiont stability. More infectious symbionts might exert higher corresponding costs to hosts, which could ultimately disadvantage both partners. Here, we quantify infection patterns of diverse Paraburkholderia symbiont genotypes in their amoeba host Dictyostelium discoideum and probe the relationship between these patterns and host outcomes. We exposed D. discoideum to thirteen strains of Paraburkholderia each belonging to one of the three symbiont species found to naturally infect D. discoideum: Paraburkholderia agricolaris, Paraburkholderia hayleyella, and Paraburkholderia bonniea. We quantified the infection prevalence and intracellular density of fluorescently labeled symbionts along with the final host population size using flow cytometry and confocal microscopy. We find that infection phenotypes vary across symbiont strains. Symbionts belonging to the same species generally display similar infection patterns but are interestingly distinct when it comes to host outcomes. This results in final infection loads that do not strongly correlate to final host outcomes, suggesting other genetic factors that are not a direct cause or consequence of symbiont abundance impact host fitness.

Keywords: Dictyostelium discoideum; endosymbiont; infection; social amoeba; symbiosis.

MeSH terms

  • Amoeba / genetics
  • Amoeba / microbiology
  • Burkholderiaceae / genetics*
  • Burkholderiaceae / pathogenicity
  • Dictyostelium / genetics*
  • Dictyostelium / microbiology
  • Genotype
  • Host Microbial Interactions / genetics
  • Host-Parasite Interactions / genetics*
  • Phenotype
  • Phylogeny
  • Symbiosis / genetics*