Growth instabilities shape morphology and genetic diversity of microbial colonies.

diffusible nutrient genetic drift growth instability microbial colonies morphology roughness sectors

Journal

Physical biology
ISSN: 1478-3975
Titre abrégé: Phys Biol
Pays: England
ID NLM: 101197454

Informations de publication

Date de publication:
19 08 2022
Historique:
received: 17 03 2022
accepted: 28 07 2022
pubmed: 29 7 2022
medline: 19 8 2022
entrez: 28 7 2022
Statut: epublish

Résumé

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.

Identifiants

pubmed: 35901792
doi: 10.1088/1478-3975/ac8514
doi:

Substances chimiques

Agar 9002-18-0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Creative Commons Attribution license.

Auteurs

Alexander Golden (A)

Department of Physics, Graduate Program in Bioinformatics, and Biological Design Center, Boston University, Boston, MA 02215, United States of America.

Ilija Dukovski (I)

Graduate Program in Bioinformatics, and Biological Design Center, Boston University, Boston, MA 02215, United States of America.

Daniel Segrè (D)

Department 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 Korolev (KS)

Department of Physics, Graduate Program in Bioinformatics, and Biological Design Center, Boston University, Boston, MA 02215, United States of America.

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Classifications MeSH