Outputs (4)

Dissecting microbial communities and resistomes for interconnected humans, soil, and livestock (2022)
Journal Article
Maciel-Guerra, A., Baker, M., Hu, Y., Wang, W., Zhang, X., Rong, J., …Dottorini, T. (2023). Dissecting microbial communities and resistomes for interconnected humans, soil, and livestock. ISME Journal, 17, 21-35. https://doi.org/10.1038/s41396-022-01315-7

A debate is currently ongoing as to whether intensive livestock farms may constitute reservoirs of clinically relevant antimicrobial resistance (AMR), thus posing a threat to surrounding communities. Here, combining shotgun metagenome sequencing, mac... Read More about Dissecting microbial communities and resistomes for interconnected humans, soil, and livestock.

Identifying associations between management practices and antimicrobial resistances of sentinel bacteria recovered from bulk tank milk on dairy farms (2022)
Journal Article
McLaughlin, D., Bradley, A., Dottorini, T., Giebel, K., Leach, K., Hyde, R., & Green, M. (2022). Identifying associations between management practices and antimicrobial resistances of sentinel bacteria recovered from bulk tank milk on dairy farms. Preventive Veterinary Medicine, 204, Article 105666. https://doi.org/10.1016/j.prevetmed.2022.105666

There is increasing emphasis on the need to reduce antimicrobial use (AMU) on dairy farms to reduce the emergence of resistant bacteria which could compromise animal health and impact human medicine. In addition to AMU, the role of farm management is... Read More about Identifying associations between management practices and antimicrobial resistances of sentinel bacteria recovered from bulk tank milk on dairy farms.

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.

Novel SCCmec type XV (7A) and two pseudo-SCCmec variants in foodborne MRSA in China (2022)
Journal Article
Wang, W., Hu, Y., Baker, M., Dottorini, T., Li, H., Dong, Y., …Li, F. (2022). Novel SCCmec type XV (7A) and two pseudo-SCCmec variants in foodborne MRSA in China. Journal of Antimicrobial Chemotherapy, 77(4), 903-909. https://doi.org/10.1093/jac/dkab500

Background Staphylococcal cassette chromosome mec (SCCmec) elements are highly diverse and have been classified into 14 types. Novel SCCmec variants have been frequently detected from humans and animals but rarely from food. Objectives To charac... Read More about Novel SCCmec type XV (7A) and two pseudo-SCCmec variants in foodborne MRSA in China.