Evidence map›Paper›PMID 31462443›Full record

ArticleG3 (Bethesda, Md.)2019

Evolutionary Dynamics in Structured Populations Under Strong Population Genetic Forces.

Alison F Feder, Pleuni S Pennings, Joachim Hermisson, Dmitri A Petrov

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Elevated HIV viral load is associated with higher recombination ratebioRxiv : the preprint server for biology · 2023
    Article
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  4. Review
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  6. Article
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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

4 authors.

Alison F FederDepartment of Biology, Stanford University, affeder@berkeley.edu.ORCID 0000-0003-2915-089X
Pleuni S PenningsDepartment of Biology, San Francisco State University, and.ORCID 0000-0001-8704-6578
Joachim HermissonFaculty of Mathematics, University of Vienna.ORCID 0000-0001-7476-9283
Dmitri A PetrovDepartment of Biology, Stanford University.ORCID 0000-0002-3664-9130

Funding

Genomics of rapid adaptation in the lab and in the wildR35GM118165 · NIGMS · STANFORD UNIVERSITY · PI Dmitri Petrov · 2016 to 2026
$8.3M
NIGMS NIH HHS R35 GM118165
6 · The paper itself

Abstract

In the long-term neutral equilibrium, high rates of migration between subpopulations result in little population differentiation. However, in the short-term, even very abundant migration may not be enough for subpopulations to equilibrate immediately. In this study, we investigate dynamical patterns of short-term population differentiation in adapting populations via stochastic and analytical modeling through time. We characterize a regime in which selection and migration interact to create non-monotonic patterns of population differentiation over time when migration is weaker than selection, but stronger than drift. We demonstrate how these patterns can be leveraged to estimate high migration rates using approximate Bayesian computation. We apply this approach to estimate fast migration in a rapidly adapting intra-host Simian-HIV population sampled from different anatomical locations. We find differences in estimated migration rates between different compartments, even though all are above [Formula: see text] = 1. This work demonstrates how studying demographic processes on the timescale of selective sweeps illuminates processes too fast to leave signatures on neutral timescales.

Indexed as

Biological EvolutionEvolution, MolecularGenetics, PopulationModels, GeneticSelection, GeneticAlgorithmsAnimalsBayes TheoremDrug Resistance, ViralGenetic VariationHumansModels, StatisticalPopulation DynamicsSimian Acquired Immunodeficiency SyndromeSimian Immunodeficiency Virusapproximate Bayesian computationFSTMigrationRapid adaptationSimian-HIVSpatial structure

Identifiers

PMID31462443
PMCPMC6778802

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.