Periodic Reporting for period 1 - EXCELLGEN (What to expect of ExPEC: is the success of extraintestinal pathogenic E. coli linked to specific genomic and cellular properties?)
Período documentado: 2023-09-01 hasta 2025-08-31
The project investigates whether the success of ExPEC is linked to specific genetic or cellular features that distinguish them from harmless or intestinal pathogenic E. coli (IPEC). Combining large-scale comparative genomics with high-throughput single-cell analysis, EXCELLGEN bridges molecular biology, microbiology, and data science to reveal how particular genes and cellular behaviours contribute to ExPEC’s pathogenic potential.
Ultimately, EXCELLGEN contributes to the EU’s priorities under the European Green Deal and “An Economy that Works for People” by improving understanding of antimicrobial-resistant pathogens and supporting more sustainable and effective responses to infection control.
In parallel, high-throughput single-cell fluorescence microscopy was employed to quantify morphological and behavioural traits across ExPEC strains under different environmental conditions. The analyses showed that even closely related strains can exhibit striking phenotypic variability, with major changes in cell morphology linked to the loss of a small genomic region containing nine genes. In a complementary study, we provided functional annotations of multiple genes with unknown functions and we showed their conservation across E. coli and other bacterial species. This work was published in mSystems (Sondervorst et al., 2025; https://pubmed.ncbi.nlm.nih.gov/40492708/(se abrirá en una nueva ventana)).
Together, these achievements have generated one of the largest curated genomic resources for E. coli, provided new insights into the molecular determinants of ExPEC virulence, and identified promising genetic and phenotypic targets for future translational research and infection control strategies.
The project uncovered several ExPEC-associated genes, including metabolic and secretion system components, that likely play a key role in pathogenic adaptation. By identifying these specific molecular signatures, EXCELLGEN lays the foundation for developing new diagnostic markers and therapeutic targets against ExPEC infections.
All computational pipelines, genomic data, and preprints were shared openly via GitHub and public repositories, reinforcing FAIR and Open Science principles and facilitating follow-up research. Future work will expand functional validation of ExPEC-associated genes and explore their mechanistic roles, potentially leading to translational applications in human and veterinary medicine.