The dynamics of evolution: How horizontal gene transfer drives the diversification and adaptation of complex, bacterial communities. The genetic exchange between populations is a prerequisite for the long-term evolution of bacteria, however its short-term dynamics are largely unexplored. This project aims to define the temporal dynamics of gene transfer and how it shapes the genetic composition of entire bacterial communities. Using innovative DNA sequencing technologies and bioinformatics, This ....The dynamics of evolution: How horizontal gene transfer drives the diversification and adaptation of complex, bacterial communities. The genetic exchange between populations is a prerequisite for the long-term evolution of bacteria, however its short-term dynamics are largely unexplored. This project aims to define the temporal dynamics of gene transfer and how it shapes the genetic composition of entire bacterial communities. Using innovative DNA sequencing technologies and bioinformatics, This project aims to offer a significant new understanding of the short-term diversification of communities and how different evolutionary forces shape bacterial function. It will show how bacterial systems can adapt to new environmental conditions and the effect on essential ecosystem functions.Read moreRead less
Complex trait analyses based on genome-wide approaches. This project aims to develop whole genome approaches that can improve the estimation and prediction power by using information from the dynamic genetic architecture of complex traits (i.e. the changes of genetic characteristics and effects when varying effective population size and genetic backgrounds). The project intends to deliver advanced statistical models, efficient algorithms and design by combining data from close relatives, populat ....Complex trait analyses based on genome-wide approaches. This project aims to develop whole genome approaches that can improve the estimation and prediction power by using information from the dynamic genetic architecture of complex traits (i.e. the changes of genetic characteristics and effects when varying effective population size and genetic backgrounds). The project intends to deliver advanced statistical models, efficient algorithms and design by combining data from close relatives, population samples or from different populations (e.g. multi-ethnicities or multi-breeds). The expected outcome is to better understand the dynamic architecture of complex traits and develop methods with improved power, precision and accuracy in genomic analyses.Read moreRead less