Resolving Host-Episymbiont Interaction Dynamics through Continuous Cultivation

Patescibacteria are an elusive linage of “microbial dark matter” bacteria predicted to represent ∼25% of total bacterial diversity. Despite this abundance and ubiquity, these organisms are challenging to cultivate, resulting from their specialized episymbiotic lifestyle. All cultivated representatives to date, predominantly composed of Saccharibacteria from the oral microbiome, depend on cognate prokaryotic hosts for growth and reproduction. Studying the growth dynamics of episymbiotic bacteria and their hosts in batch cultures has suggested that many episymbionts initially reduce host populations, and that hosts eventually adapt to episymbiont stress after serial passaging. However, discontinuous batch cultures do not reflect natural interactions between these organisms due to their drastically different growth rates. An episymbiont requires several (∼2-4) serial passages alongside its host to reach the high cell densities needed to impact host growth, which complicates investigation of host inhibition and adaptation to episymbiont stress. To describe these dynamics accurately, we utilized continuous culture via small-scale Raspberry Pi powered bioreactors, called Pioreactors. Within a bioreactor, host bacteria can be cultivated at a consistent growth rate indefinitely, providing the perfect substrate for cultivation of model Saccharibacteria. Quantification of time until host crash, crash severity, time until recovery, and stable co-culture density provides mechanistic ways to describe episymbiont-host interactions. First, we used these techniques to compare episymbiont infection by three different episymbionts, revealing distinct infection patterns ranging from mild inhibition with rapid host adaptation, to rapid host collapse followed by “arms race” oscillation dynamics. Then, bioreactors were used to quantify the episymbiotic role played by a known host-binding type 4 pili (T4P-2), demonstrating that loss of long-distance host binding significantly delayed the host crash without altering general crash dynamics. These experiments reveal that episymbionts can have drastically different effects on bacterial communities and provide the tools necessary to describe strain/species differences and molecular interactions.