| Autor: |
Ascensao JA; Department of Bioengineering, University of California Berkeley, Berkeley, CA, USA.; California Institute for Quantitative Biosciences, University of California Berkeley, Berkeley, CA, USA., Lok K; Department of Bioengineering, University of California Berkeley, Berkeley, CA, USA.; Present affiliation: Department of Biomedical Engineering, Duke University, Durham, NC, USA., Hallatschek O; Department of Physics, University of California Berkeley, Berkeley, CA, USA.; Department of Integrative Biology, University of California Berkeley, Berkeley, CA, USA.; Peter Debye Institute for Soft Matter Physics, Leipzig University, 04103 Leipzig, Germany. |
| Abstrakt: |
Large stochastic population abundance fluctuations are ubiquitous across the tree of life 1-7 , impacting the predictability of population dynamics and influencing eco-evolutionary outcomes. It has generally been thought that these large abundance fluctuations do not strongly impact evolution, as the relative frequencies of alleles in the population will be unaffected if the abundance of all alleles fluctuate in unison. However, we argue that large abundance fluctuations can lead to significant genotype frequency fluctuations if different genotypes within a population experience these fluctuations asynchronously. By serially diluting mixtures of two closely related E. coli strains, we show that such asynchrony can occur, leading to giant frequency fluctuations that far exceed expectations from models of genetic drift. We develop a flexible, effective model that explains the abundance fluctuations as arising from correlated offspring numbers between individuals, and the large frequency fluctuations result from even slight decoupling in offspring numbers between genotypes. This model accurately describes the observed abundance and frequency fluctuation scaling behaviors. Our findings suggest chaotic dynamics underpin these giant fluctuations, causing initially similar trajectories to diverge exponentially; subtle environmental changes can be magnified, leading to batch correlations in identical growth conditions. Furthermore, we present evidence that such decoupling noise is also present in mixed-genotype S. cerevisiae populations. We demonstrate that such decoupling noise can strongly influence evolutionary outcomes, in a manner distinct from genetic drift. Given the generic nature of asynchronous fluctuations, we anticipate that they are widespread in biological populations, significantly affecting evolutionary and ecological dynamics. |
