Evidence map›Paper›PMID 36514852›Full record

ArticleJournal of evolutionary biology2023

The role of migration in mutant dynamics in fragmented populations.

Jesse Kreger, Donovan Brown, Natalia L Komarova, Dominik Wodarz, Justin Pritchard

Abstract read
In one paragraph

Article in Journal of evolutionary biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Compartmental structure in the secondary lymphoid tissue can slow downJournal of the Royal Society, Interface · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Categorizing update mechanisms for graph-structured metapopulations.Journal of the Royal Society, Interface · 2023
    Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jesse KregerDepartment of Quantitative and Computational Biology, University of Southern California, Los Angeles, California, USA.ORCID 0000-0001-6438-171X
Donovan BrownDepartment of Biomedical Engineering, Pennsylvania State University, University Park, Pennsylvania, USA.
Natalia L KomarovaDepartment of Mathematics, University of California Irvine, Irvine, California, USA.ORCID 0000-0003-4876-0343
Dominik WodarzDepartment of Mathematics, University of California Irvine, Irvine, California, USA.ORCID 0000-0002-8017-3707
Justin PritchardDepartment of Biomedical Engineering, Pennsylvania State University, University Park, Pennsylvania, USA.

Funding

Personalization and Failure Testing of Dual Switch Gene Drives in Lung CancerU01CA265709 · NCI · PENNSYLVANIA STATE UNIVERSITY, THE · PI PRITCHARD, JUSTIN · 2021 to 2025
$2.6M
Model Driven Construction of Dual-switch Selection Gene Drives to Combat Drug ResistanceR21EB026617 · NIBIB · PENNSYLVANIA STATE UNIVERSITY, THE · PI PRITCHARD, JUSTIN · 2019 to 2021
$628k
NCI NIH HHS U01 CA265709NIBIB NIH HHS R21 EB026617
6 · The paper itself

Abstract

Mutant dynamics in fragmented populations have been studied extensively in evolutionary biology. Yet, open questions remain, both experimentally and theoretically. Some of the fundamental properties predicted by models still need to be addressed experimentally. We contribute to this by using a combination of experiments and theory to investigate the role of migration in mutant distribution. In the case of neutral mutants, while the mean frequency of mutants is not influenced by migration, the probability distribution is. To address this empirically, we performed in vitro experiments, where mixtures of GFP-labelled ("mutant") and non-labelled ("wid-type") murine cells were grown in wells (demes), and migration was mimicked via cell transfer from well to well. In the presence of migration, we observed a change in the skewedness of the distribution of the mutant frequencies in the wells, consistent with previous and our own model predictions. In the presence of de novo mutant production, we used modelling to investigate the level at which disadvantageous mutants are predicted to exist, which has implications for the adaptive potential of the population in case of an environmental change. In panmictic populations, disadvantageous mutants can persist around a steady state, determined by the rate of mutant production and the selective disadvantage (selection-mutation balance). In a fragmented system that consists of demes connected by migration, a steady-state persistence of disadvantageous mutants is also observed, which, however, is fundamentally different from the mutation-selection balance and characterized by higher mutant levels. The increase in mutant frequencies above the selection-mutation balance can be maintained in small (

Indexed as

Models, GeneticSelection, GeneticAnimalsBiological EvolutionMiceMutationPopulation Dynamicsclonal compositionfragmented populationsmathematical modelsmigrationmutant dynamics

Identifiers

PMID36514852
PMCPMC10108075

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Registered trials

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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.