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Sam Brown

@brownlab.bsky.social
328 followers 158 following 7 posts

Evolutionary microbiologist. Bacterial social life, virulence, drug resistance.

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Sam Brown @brownlab.bsky.social · 14/09/2026
Great to learn about the amazing phage defence lit (thanks @ellinoralseth.bsky.social!), def want this to be a positive contrib– many more Qs to ask from evol perspective. Hopefully a useful framework to think about other puzzling phenotypes in microbiology authors.elsevier.com/a/1nllx,L%7E...
A workflow for evaluating defense mechanisms in an evolutionary context: Starting from an initial discovery of a defense mechanism [typically bioinformatic (2) or experimental (3)], we emphasize the importance of explicitly identifying alternative defense and nondefense evolutionary hypotheses (1) and using these hypotheses to drive additional experimental and bioinformatic tests. Arrows highlight iterative integration (4): bioinformatic discoveries (2) can drive experimental predictions (3) by inspiring new testable hypotheses (1). Similarly, experimental data (3) can drive bioinformatic predictions (2), a process mediated by new functional hypotheses (1). Mechanisms can cycle through these steps multiple times as new data accumulate, both within and across multiple studies (4).
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Sam Brown @brownlab.bsky.social · 21/05/2026
Congrats @emehlferber.bsky.social and team! This is one of my fave visualizations: summarizing how PA “sees” some environments as more or less similar based on shared genomic signatures. Chronic infections cluster tightly, but are still distinguishable by a smaller set of features.
Force-directed network where each node is an environment category and edges indicate stronger similarity in model-derived genomic signatures (shared directionally consistent features). Chronic lung environments cluster closely; acute infection categories form a looser cluster; non-host environments are more separated.
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