Stochastic bounds of aggregation dynamics distinguish near-wild-type from wild-type strains in social bacteria

The genotype-to-phenotype problem (G2P) for multicellular development asks how genetic inputs control collective phenotypic outputs. It is a difficult problem even to observe. On the genotype side, the phenotypic impact of mutation is often subtle due at least partly to gene redundancy and myriad other factors. On the phenotype side, biological and even technical developmental replicates can display significant phenotypic variation due at least in part to stochasticity, again with other factors. We attempt to partially resolve the G2P inputs and outputs from the obfuscating effects of factors like redundancy and stochasticity. As a model organism, we selected the biofilm-forming species Myxococcus xanthus , a motile self-organizing bacterium that forms three-dimensional cell aggregates that grow and mature into spore-filled fruiting bodies when under starvation stress. We developed data acquisition tools and analysis and visualization methods that can produce a topological map of M. xanthus development. We demonstrate that even subtle effects on developmental dynamics caused by mutation can be identified, discriminated, characterized, and given statistical significance.