We have tackled all major aims set out in this project. For aim 1, we have generated extensive RNA-seq and proteomics databases, which have now been analyzed and will be soon submitted for publication. In addition, we have setup CRISPRi-seq, which allows us to look for essential genes under various conditions (Liu et al. Cell Host & Microbe 2021). Within the framework of this project, we now have determined the essentialome of S. pneumoniae under the same conditions as we obtained transcriptome and proteome data. These datasets now have been integrated and will be soon submitted for publication.
For aim 2, we have setup the experimental methods to do host-pneumococcal interactions using A549 human cell lines. In addition, the first ever pneumococcal TIMER strains have been constructed. We have discovered that competence development is specifically upregulated during interaction with the host and we have obtained the first scRNA-seq data of A549 cells infected with wild type and competence mutants. This exciting new data confirms our hypothesis in that it shows that just a subpopulation of host cells mount an inflammatory response in reply to pneumococcal infection, demonstrating the presence of host phenotypic variation.
For aim 3, we now generated several synthetic gene-regulatory networks capable of demonstrating bimodal gene expression distributions. Specifically, we have generated an oscillator that can be coupled to virulence factor expression. We have setup and optimized microfluidics devices that now allow us to follow single pneumococci by live fluorescence microscopy for more than 24h (Rueff et al. Nature Comm. 2023. We have developed an advanced image analysis tools for microscopy data (BactMAP).
For aim 4, we have performed deep seq and SMRT-seq on heteroresisters and identified the CiaR/H system to be important in amoxicillin resistance development as well as determined the route to full amoxicillin resistance via horizontal gene transfer (Gibson et al. Plos Patho.2022). In addition, we have started several antibiotic challenges, in combination with CRISPRi-seq, to identify genes involved in antibiotic tolerance and resistance. Finally, by genetic interaction studies, we have identified several new cell division genes and pathways that might provide new therapeutic targets (de Wachter et al., eLife 2022).