Outputs (5)

Core and accessory genomic traits of Vibrio cholerae O1 drive lineage transmission and disease severity (2024)
Journal Article
Maciel-Guerra, A., Babaarslan, K., Baker, M., Rahman, A., Hossain, M., Sadique, A., Alam, J., Uzzaman, S., Ferdous, M., Ferdous Rahman Sarker, M., Sultana, N., Islam Khan, A. I., Begum, Y. A., Afrad, M. H., Senin, N., Habib, Z. H., Shirin, T., Qadri, F., & Dottorini, T. (2024). Core and accessory genomic traits of Vibrio cholerae O1 drive lineage transmission and disease severity. Nature Communications, 15(1), Article 8231. https://doi.org/10.1038/s41467-024-52238-0

In Bangladesh, Vibrio cholerae lineages are undergoing genomic evolution, with increased virulence and spreading ability. However, our understanding of the genomic determinants influencing lineage transmission and disease severity remains incomplete.... Read More about Core and accessory genomic traits of Vibrio cholerae O1 drive lineage transmission and disease severity.

Convergence of resistance and evolutionary responses in Escherichia coli and Salmonella enterica co-inhabiting chicken farms in China (2024)
Journal Article
Baker, M., Zhang, X., Maciel-Guerra, A., Babaarslan, K., Dong, Y., Wang, W., …Dottorini, T. (2024). Convergence of resistance and evolutionary responses in Escherichia coli and Salmonella enterica co-inhabiting chicken farms in China. Nature Communications, 15, Article 206. https://doi.org/10.1038/s41467-023-44272-1

Sharing of genetic elements among different pathogens and commensals inhabiting same hosts and environments has significant implications for antimicrobial resistance (AMR), especially in settings with high antimicrobial exposure. We analysed 661 Esch... Read More about Convergence of resistance and evolutionary responses in Escherichia coli and Salmonella enterica co-inhabiting chicken farms in China.

A model of antibiotic resistance genes accumulation through lifetime exposure from food intake and antibiotic treatment (2023)
Journal Article
Todman, H., Arya, S., Baker, M., & Stekel, D. J. (2023). A model of antibiotic resistance genes accumulation through lifetime exposure from food intake and antibiotic treatment. PLoS ONE, 18(8), Article e0289941. https://doi.org/10.1371/journal.pone.0289941

Antimicrobial resistant bacterial infections represent one of the most serious contemporary global healthcare crises. Acquisition and spread of resistant infections can occur through community, hospitals, food, water or endogenous bacteria. Global ef... Read More about A model of antibiotic resistance genes accumulation through lifetime exposure from food intake and antibiotic treatment.

Antimicrobial resistance in dairy slurry tanks: a critical point for measurement and control (2022)
Journal Article
Baker, M., Williams, A. D., Hooton, S. P., Helliwell, R., King, E., Dodsworth, T., …Stekel, D. J. (2022). Antimicrobial resistance in dairy slurry tanks: a critical point for measurement and control. Environment International, 169, Article 107516. https://doi.org/10.1016/j.envint.2022.107516

Waste from dairy production is one of the largest sources of contamination from antimicrobial resistant bacteria (ARB) and genes (ARGs) in many parts of the world. However, studies to date do not provide necessary evidence to inform antimicrobial res... Read More about Antimicrobial resistance in dairy slurry tanks: a critical point for measurement and control.

Whole-genome sequencing and gene sharing network analysis powered by machine learning identifies antibiotic resistance sharing between animals, humans and environment in livestock farming (2022)
Journal Article
Peng, Z., Maciel-Guerra, A., Baker, M., Zhang, X., Hu, Y., Wang, W., …Dottorini, T. (2022). Whole-genome sequencing and gene sharing network analysis powered by machine learning identifies antibiotic resistance sharing between animals, humans and environment in livestock farming. PLoS Computational Biology, 18(3), Article e1010018. https://doi.org/10.1371/journal.pcbi.1010018

Anthropogenic environments such as those created by intensive farming of livestock, have been proposed to provide ideal selection pressure for the emergence of antimicrobial-resistant Escherichia coli bacteria and antimicrobial resistance genes (ARGs... Read More about Whole-genome sequencing and gene sharing network analysis powered by machine learning identifies antibiotic resistance sharing between animals, humans and environment in livestock farming.