Evidence map›Paper›PMID 38077009›Full record

ArticlebioRxiv : the preprint server for biology2024

Selective sweep probabilities in spatially expanding populations.

Alexander Stein, Ramanarayanan Kizhuttil, Maciej Bak, Robert Noble

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Alexander SteinCentre for Cancer Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, UK and Department of Physics, ETH Zurich, Zürich, Switzerland.ORCID 0000-0003-0520-0063
Ramanarayanan KizhuttilDepartment of Physics, Indian Institute of Science Education and Research, Kolkata, India.ORCID 0009-0002-6824-4928
Maciej BakDepartment of Mathematics, City, University of London, London, UK.ORCID 0000-0003-1361-7301
Robert NobleDepartment of Mathematics, City, University of London, London, UK.ORCID 0000-0002-8057-4252

Funding

The Role of the Microbiome in Cancer Suppression and Susceptibility Across SpeciesU54CA217376 · NCI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI MALEY, CARLO, SHIBATA, DARRYL K · 2018 to 2022
$8.6M
NCI NIH HHS U54 CA217376
6 · The paper itself

Abstract

Evolution during range expansions shapes biological systems from microbial communities and tumours up to invasive species. A fundamental question is whether, when a beneficial mutation arises during a range expansion, it will evade clonal interference and sweep through the population to fixation. However, most theoretical investigations of range expansions have been confined to regimes in which selective sweeps are effectively impossible, while studies of selective sweeps have either assumed constant population size or have ignored spatial structure. Here we use mathematical modelling and analysis to investigate selective sweep probabilities in the alternative yet biologically relevant scenario in which mutants can outcompete and displace a slowly spreading wildtype. Assuming constant radial expansion speed, we derive probability distributions for the arrival time and location of the first surviving mutant and hence find surprisingly simple approximate and exact expressions for selective sweep probabilities in one, two and three dimensions, which are independent of mutation rate. Namely, the selective sweep probability is approximately

Identifiers

PMID38077009
PMCPMC10705267

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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.