🚨🚨 When we take antibiotics we assume they'll kill the bad bugs but won't affect us directly. In our new story @NatureMicrobiol , we found that's not always the case and developed a tool, CompoRes, to identify these direct effects on the host /1 www.nature.com/articles/s41...

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Excited to share our new preprint where we ask: How does temp alter susceptibility to kanamycin, selection and spread of resistance in E. coli with the plasmids R1 and RP4. tl;dr AMR @ high temp is due to higher growth rates and susceptibility, increasing selection. www.biorxiv.org/content/10.6...

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Wanted to share a new preprint where we use #MALDITOF not just for species ID, but rapid Sequence Typing 🧬 Even without DNA sequencing we can determine strain lineage 🦠, enabling rapid + cheap outbreak detection Amazing work led by Hoai-An Nguyen #IDSky #MicroSky www.medrxiv.org/content/10.6...

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Happy to share that @averynoonan.bsky.social paper “Phylogeny-agnostic strain-level prediction of phage–host interactions from genomes using machine learning” is now published in @natmicrobiol.nature.com 🎉🎊 👉🏽 rdcu.be/nR2NizD7H5va

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Can we move beyond cutoffs and heuristic thresholds for validating metagenomic results? Our new preprint introduces MAVI, providing error-controlled validation at both the organism and sample levels without relying on fixed thresholds. 🧬 Mind the Gaps www.medrxiv.org/content/10.6...

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