Evidence map›Paper›PMID 35901792›Full record

ArticlePhysical biology2022

Growth instabilities shape morphology and genetic diversity of microbial colonies.

Alexander Golden, Ilija Dukovski, Daniel Segrè, Kirill S Korolev

Abstract read
In one paragraph

Article in Physical biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Integrative analysis of yeast colony growth.Communications biology · 2024
    Article
  6. Article
  7. Proliferating active matter.Nature reviews. Physics · 2023
    Review
  8. Morphological instability and roughening of growing 3D bacterial colonies.Proceedings of the National Academy of Sciences of the United States of America · 2022
    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

4 authors.

Alexander GoldenDepartment of Physics, Graduate Program in Bioinformatics, and Biological Design Center, Boston University, Boston, MA 02215, United States of America.
Ilija DukovskiGraduate Program in Bioinformatics, and Biological Design Center, Boston University, Boston, MA 02215, United States of America.
Daniel SegrèDepartment of Physics, Department of Biology, Department of Biomedical Engineering, Graduate Program in Bioinformatics, and Biological Design Center, Boston University, Boston, MA 02215, United States of America.
Kirill S KorolevDepartment of Physics, Graduate Program in Bioinformatics, and Biological Design Center, Boston University, Boston, MA 02215, United States of America.ORCID 0000-0003-1988-0645

Funding

Relationship between genealogies and biophysical processes during spatial growth.R01GM138530 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI KOROLEV, KIRILL SERGEEVICH · 2020 to 2024
$1.4M
Microbiome-based biomarkers and models of lung cancer development and treatmentR21CA260382 · NCI · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI JOHNSON, WILLIAM EVAN, SEGRE, DANIEL · 2022 to 2023
$377k
NCI NIH HHS R21 CA260382NIGMS NIH HHS R01 GM138530
6 · The paper itself

Abstract

Cellular populations assume an incredible variety of shapes ranging from circular molds to irregular tumors. While we understand many of the mechanisms responsible for these spatial patterns, little is known about how the shape of a population influences its ecology and evolution. Here, we investigate this relationship in the context of microbial colonies grown on hard agar plates. This a well-studied system that exhibits a transition from smooth circular disks to more irregular and rugged shapes as either the nutrient concentration or cellular motility is decreased. Starting from a mechanistic model of colony growth, we identify two dimensionless quantities that determine how morphology and genetic diversity of the population depend on the model parameters. Our simulations further reveal that population dynamics cannot be accurately described by the commonly-used surface growth models. Instead, one has to explicitly account for the emergent growth instabilities and demographic fluctuations. Overall, our work links together environmental conditions, colony morphology, and evolution. This link is essential for a rational design of concrete, biophysical perturbations to steer evolution in the desired direction.

Indexed as

Genetic VariationAgarCell MovementAgardiffusible nutrientgenetic driftgrowth instabilitymicrobial coloniesmorphologyroughnesssectors

Identifiers

PMID35901792
PMCPMC11209841

What OpenQuestion holds

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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.