Publications by authors named "R S Kaas"

Most investigations of geographical within-species differences are limited to focusing on a single species. Here, we investigate global differences for multiple bacterial species using a dataset of 757 metagenomics sewage samples from 101 countries worldwide. The within-species variations were determined by performing genome reconstructions, and the analyses were expanded by gene focused approaches.

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  • Salmonella enterica serovar Dublin (S. Dublin) is primarily a cattle pathogen in Denmark, but it can occasionally infect humans.
  • A study analyzed 421 genomes of S. Dublin to assess the impact of a national surveillance program on its population size over time, finding a significant decrease from 2014 to 2019.
  • The results showed that enhanced surveillance likely contributed to the reduction in both S. Dublin’s population in cattle and human infection cases, demonstrating the importance of genomic sequencing and phylogenetic analysis in public health measures.
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  • Haptophyte microalgae play a crucial role in microbial communities and are believed to rely heavily on vitamin B (cobalamin), produced by certain bacteria.
  • Research found that while haptophytes can grow by using vitamin B from bacterial extracts, they don't directly acquire it from co-cultured bacteria even when conditions seem favorable for production.
  • The study suggests that interactions between algae and bacteria in natural environments are complex, with vitamin B acquisition potentially occurring indirectly, highlighting species-specific relationships and the importance of microbial diversity.
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Antimicrobial resistance (AMR) is one of the most important health threats globally. The ability to accurately identify resistant bacterial isolates and the individual antimicrobial resistance genes (ARGs) is essential for understanding the evolution and emergence of AMR and to provide appropriate treatment. The rapid developments in next-generation sequencing technologies have made this technology available to researchers and microbiologists at routine laboratories around the world.

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Storage of biological specimens is crucial in the life and medical sciences. Storage conditions for samples can be different for a number of reasons, and it is unclear what effect this can have on the inferred microbiome composition in metagenomics analyses. Here, we assess the effect of common storage temperatures (deep freezer, -80°C; freezer, -20°C; refrigerator, 5°C; room temperature, 22°C) and storage times (immediate sample processing, 0 h; next day, 16 h; over weekend, 64 h; longer term, 4, 8, and 12 months) as well as repeated sample freezing and thawing (2 to 4 freeze-thaw cycles).

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