Evidence map›Paper›PMID 39578596›Full record

ArticleNature ecology & evolution2025

Asynchronous abundance fluctuations can drive giant genotype frequency fluctuations.

Joao A Ascensao, Kristen Lok, Oskar Hallatschek

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Article in Nature ecology & evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. The evolution of genetic drift over 50,000 generations.bioRxiv : the preprint server for biology · 2026
    Article
  3. Frequency-dependent fitness effects are ubiquitous.bioRxiv : the preprint server for biology · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Joao A AscensaoDepartment of Bioengineering, University of California Berkeley, Berkeley, CA, USA.ORCID 0000-0003-1369-6847
Kristen LokDepartment of Bioengineering, University of California Berkeley, Berkeley, CA, USA.ORCID 0009-0006-9463-9762
Oskar HallatschekDepartment of Physics, University of California Berkeley, Berkeley, CA, USA. ohallats@berkeley.edu.ORCID 0000-0002-1312-5975

Funding

Resolving the Mechano-Chemical Regulation of Microbial Populations in Microfluidic DevicesR01GM115851 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI HALLATSCHEK, OSKAR · 2015 to 2023
$2.2M
Unraveling the Interplay Between Self-Organization and Antimicrobial Resistance Evolution Across Spatial ScalesR01GM149827 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI HALLATSCHEK, OSKAR, PARTHASARATHY, RAGHUVEER · 2024 to 2025
$912k
National Science Foundation (NSF) 1555330NIGMS NIH HHS R01 GM115851NIGMS NIH HHS R01 GM149827U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R01GM115851
6 · The paper itself

Abstract

Large stochastic population abundance fluctuations are ubiquitous across the tree of life, impacting the predictability and outcomes of population dynamics. It is generally thought that abundance fluctuations with a Taylor's law exponent of two do not strongly impact evolution. However, we argue that such abundance fluctuations can lead to substantial genotype frequency fluctuations if different genotypes in a population experience these fluctuations asynchronously. By serially diluting mixtures of two closely related Escherichia coli strains, we show that such asynchrony can occur, leading to giant frequency fluctuations that far exceed expectations from genetic drift. We develop an effective model explaining that the abundance fluctuations arise from correlated offspring numbers between individuals, and the large frequency fluctuations result from (even slight) decoupling in offspring number correlations between genotypes. The model quantitatively predicts the observed abundance and frequency fluctuation scaling. Initially close trajectories diverge exponentially, suggesting that chaotic dynamics may underpin the excess frequency fluctuations. Our findings suggest that decoupling noise is also present in mixed-genotype Saccharomyces cerevisiae populations. Theoretical analyses demonstrate that decoupling noise can strongly influence evolutionary outcomes, in a manner distinct from genetic drift. Given the generic nature of these frequency fluctuations, we expect them to be widespread across biological populations.

Indexed as

Escherichia coliModels, GeneticSaccharomyces cerevisiaeBiological EvolutionGenetic DriftGenotypePopulation DensityPopulation DynamicsStochastic Processes

Identifiers

PMID39578596

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.