Asymmetrical Damage Partitioning in Bacteria: A Model for the Evolution of Stochasticity, Determinism, and Genetic Assimilation

Non-genetic phenotypic variation is common in biological organisms. The variation is potentially beneficial if the environment is changing. If the benefit is large, selection can favor the evolution of genetic assimilation, the process by which the expression of a trait is transferred from environmental to genetic control. Genetic assimilation is an important evolutionary transition, but it is poorly understood because the fitness costs and benefits of variation are often unknown. Here we show that the partitioning of damage by a mother bacterium to its two daughters can evolve through genetic assimilation. Bacterial phenotypes are also highly variable. Because gene-regulating elements can have low copy numbers, the variation is attributed to stochastic sampling. Extant Escherichia coli partition asymmetrically and deterministically more damage to the old daughter, the one receiving the mother's old pole. By modeling in silico damage partitioning in a population, we show that deterministic asymmetry is advantageous because it increases fitness variance and hence the efficiency of natural selection. However, we find that symmetrical but stochastic partitioning can be similarly beneficial. To examine why bacteria evolved deterministic asymmetry, we modeled the effect of damage anchored to the mother's old pole. While anchored damage strengthens selection for asymmetry by creating additional fitness variance, it has the opposite effect on symmetry. The difference results because anchored damage reinforces the polarization of partitioning in asymmetric bacteria. In symmetric bacteria, it dilutes the polarization. Thus, stochasticity alone may have protected early bacteria from damage, but deterministic asymmetry has evolved to be equally important in extant bacteria. We estimate that 47% of damage partitioning is deterministic in E. coli. We suggest that the evolution of deterministic asymmetry from stochasticity offers an example of Waddington's genetic assimilation. Our model is able to quantify the evolution of the assimilation because it characterizes the fitness consequences of variation

The intestinal LABs

The complete gastrointestinal (GI) tract of humans is colonised soon after birth by a myriad of microbial species with a characteristic distribution depending on the location. GI-tract ecology has been experiencing a revival due to the development of molecular techniques, especially those based on 16S RNA (zRNA) genes. A richer ecosystem than previously imagined of novel species is being discovered that is significantly influenced by our host genotype. Special attention has been focused on the bifidobacteria and the lactic acid bacterial (LAB) populations, both those that are naturally present within this complex ecosystem and those that are ingested as probiotics in functional foods. Overall this interest stems from a increasing awareness of interplay between microflora, diet and the health of the host, and is further stimulated by an increasing incidence of gastrointestinal illnesses, and atopy. Substantial documentation of benefits to host health has especially distinguished the LAB for multidisciplinary research aimed to determine the molecular mechanisms involved. Recent advances in molecular technologies, including high-throughput genomics-based approaches, can significantly advance our understanding of the microbe--diet--host interactions and offer valuable information for design and application of health-targeted microbes