Every human has a rich ecosystem of microbes inhabiting its intestine, known has the gut microbiota, with trillions of bacteria belonging to several species. One of those is Escherichia coli, composed of strains which are both typical colonizers of the mammalian gut, e.g. colonise more than 90% of humans, but some are also important pathogens and some can even modulate tumour development in the intestine. The high numbers of these bacteria in the gut, their rapid growth and the capacity they have to acquire mutations and exchange genetic information- known as horizontal gene transfer (e.g. via genetic elements that move between bacteria, such bacteriophages and plasmids), makes the gut microbiome a dynamic ecosystem where evolution can be observed in real time.
EvoInHi has two main overall objectives: 1) to characterise in real time the evolutionary adaptations of bacterial lineages that colonize the intestines of healthy mice and 2) to compare such evolution with that occurring in the intestines of mice which are research models for inflammation associated diseases, namely models for Inflammatory Bowel Disease and obesity. As most humans are colonised by more than one E. coli strain, and the gut microbiome is considered a melting pot for horizontal gene transfer, we have a strong focus on this poorly studied evolutionary process. Thus, we aim to quantify and understand not only the accumulation of mutations in different E. coli strains but also the transfer events that occur between strains in both healthy and immunocompromised hosts. By profiling the adaptive landscape and the evolutionary dynamics in the gut, in conditions of health and of disease, we expect to better understand the complex gut environment and to discover genetic adaptations and transfer events that specifically occur in an inflamed gut environment. To understand how a rich species ecosystem shapes the evolution of a given focal strain, we also aim to determine the tempo and mode of evolution of E. coli strains in the absence versus presence of a complex microbiota.
Discovering genomic targets of gut adaptation common across different strains of E. coli, as we aim here, can also help to develop new nutritional strategies to strains of this species which carry undesirable traits (e.g. antibiotic resistance and virulence traits), or to devise probiotics that may more effectively outcompete pathogenic strains.