Evidence map›Paper›PMID 36881622›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Impact of crowding on the diversity of expanding populations.

Carl F Schreck, Diana Fusco, Yuya Karita, Stephen Martis, Jona Kayser, Marie-Cécilia Duvernoy, Oskar Hallatschek

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
6.3field-weighted citation impact, top 3% of its field
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

14 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
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  10. Proliferating active matter.Nature reviews. Physics · 2023
    Review
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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

7 authors at 6 institutions in 3 countries.

Carl F SchreckDepartment of Physics, University of California, Berkeley, CA 94709.
Diana FuscoDepartment of Physics, University of California, Berkeley, CA 94709.ORCID 0000-0002-1505-7160
Yuya KaritaBiophysics Graduate Group, University of California, Berkeley, CA 94709.ORCID 0000-0001-8581-3630
Stephen MartisDepartment of Physics, University of California, Berkeley, CA 94709.
Jona KayserDepartment of Physics, University of California, Berkeley, CA 94709.ORCID 0000-0002-9393-2012
Marie-Cécilia DuvernoyDepartment of Physics, University of California, Berkeley, CA 94709.
Oskar HallatschekDepartment of Physics, University of California, Berkeley, CA 94709.ORCID 0000-0002-1312-5975
University of California, Berkeley · USChildren's Mercy Hospital · USLeipzig University · DEMax Planck Institute for the Science of Light · DEMemorial Sloan Kettering Cancer Center · USUniversity of Cambridge · GB

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Resolving the Mechano-Chemical Regulation of Microbial Populations in Microfluidic DevicesR01GM115851 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI HALLATSCHEK, OSKAR · 2015 to 2023
$2.2M
NCI NIH HHS P30 CA008748NIGMS NIH HHS R01 GM115851
6 · The paper itself

Abstract

Crowding effects critically impact the self-organization of densely packed cellular assemblies, such as biofilms, solid tumors, and developing tissues. When cells grow and divide, they push each other apart, remodeling the structure and extent of the population's range. Recent work has shown that crowding has a strong impact on the strength of natural selection. However, the impact of crowding on neutral processes, which controls the fate of new variants as long as they are rare, remains unclear. Here, we quantify the genetic diversity of expanding microbial colonies and uncover signatures of crowding in the site frequency spectrum. By combining Luria-Delbrück fluctuation tests, lineage tracing in a novel microfluidic incubator, cell-based simulations, and theoretical modeling, we find that the majority of mutations arise behind the expanding frontier, giving rise to clones that are mechanically "pushed out" of the growing region by the proliferating cells in front. These excluded-volume interactions result in a clone-size distribution that solely depends on where the mutation first arose relative to the front and is characterized by a simple power law for low-frequency clones. Our model predicts that the distribution depends on a single parameter-the characteristic growth layer thickness-and hence allows estimation of the mutation rate in a variety of crowded cellular populations. Combined with previous studies on high-frequency mutations, our finding provides a unified picture of the genetic diversity in expanding populations over the whole frequency range and suggests a practical method to assess growth dynamics by sequencing populations across spatial scales.

Indexed as

BiofilmsGastropodaAnimalsMicrofluidicsMutationMutation Ratebiofilmsclone size distributiongenetic variationintratumor heterogeneity

Identifiers

PMID36881622
PMCPMC10089160
OpenAlexW4323348560

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.