Oskar Hallatschek

@ohallats.bsky.social

torn between natural stupidity and artificial intelligence

There are many open questions, but it’s remarkable what time-series data from recombining genomes can reveal. Here: Each panel shows, for one focal region, the fraction of ancestry imported from other regions in 300-year bins; titles = recipient region, colors = source regions.

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Stephan Schiffels@stschiff.ecoevo.social.ap.brid.gy · 5mo ago

Excited to share our new preprint on time-lagged F2-statistics, which informs about migration rates from ancient DNA data. Find a preprint here: https://www.biorxiv.org/content/10.64898/2026.03.12.710875v1 The work was driven by Giulio Isacchini and Oskar Hallatschek. Proud to be part of it! […]

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How common are frequency dependent fitness effects? New preprint out today 👇 doi.org/10.1101/2025...

Frequency-dependent fitness effects are ubiquitous

In simple microbial populations, the fitness effects of most selected mutations are generally taken to be constant, independent of genotype frequency. This assumption underpins predictions about evolutionary dynamics, epistatic interactions, and the maintenance of genetic diversity in populations. Here, we systematically test this assumption using beneficial mutations from early generations of the Escherichia coli Long-Term Evolution Experiment (LTEE). Using flow cytometry-based competition assays, we find that frequency-dependent fitness effects are the norm rather than the exception, occurring in approximately 80\% of strain pairs tested. Most competitions exhibit negative frequency-dependence, where fitness advantages decline as mutant frequency increases. Furthermore, we demonstrate that the strength of frequency-dependence is predictable from invasion fitness measurements, with invasion fitness explaining approximately half of the biological variation in frequency-dependent slopes. Additionally, we observe violations of fitness transitivity in several strain combinations, indicating that competitive relationships cannot always be predicted from fitness relative to a single reference strain alone. Through high-resolution measurements of within-growth cycle dynamics, we show that simple resource competition explains a substantial portion of the frequency-dependence: when faster-growing genotypes dominate populations, they deplete shared resources more rapidly, reducing the time available for fitness differences to accumulate. Our results demonstrate that even in a simple model system designed to minimize ecological complexity, subtle ecological interactions between closely related genotypes create frequency-dependent selection that can fundamentally alter evolutionary dynamics. ### Competing Interest Statement The authors have declared no competing interest.

doi.org