Here, we performed an analysis of publicly available data of 208,233 Salmonella genomes in 148 countries/regions between 1900 and 2023 and explored driving indicators of AMR. Overall, we found that the geographic distribution of AMR varied depending on the location, source, and serovar. The proportion of AMR levels increased across six continents, especially in serovars Agona, Dublin, I 1,4,[5],12:i:-, Muenchen, Senftenberg, Mbandaka mainly from chickens, food, wild animals, and the environment, while decreased in Schwarzengrund and Saintpaul mainly from cattle, pigs, and turkeys. We also found that S. Typhimurium exhibiting macro, red, dry, and rough was detected as early as 1992 in the USA, earlier than in China. Moreover, we identified that antibiotic consumption, agriculture, climate, urban, health, and socioeconomic factors contribute to the development of AMR in Salmonella. We present a globally high-resolution genetic atlas of Salmonella and also identify some factors driving the rise of AMR, which can provide valuable information for understanding the transmission dynamics and evolutionary trajectories of Salmonella.

Policy and public health in microbiology, Data mining, Bacterial genomics, Antimicrobial resistance