Environmental heterogeneity can tip the population genetics of range expansions.


Journal

eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614

Informations de publication

Date de publication:
12 04 2019
Historique:
received: 18 12 2018
accepted: 11 04 2019
pubmed: 13 4 2019
medline: 12 3 2020
entrez: 13 4 2019
Statut: epublish

Résumé

The population genetics of most range expansions is thought to be shaped by the competition between Darwinian selection and random genetic drift at the range margins. Here, we show that the evolutionary dynamics during range expansions is highly sensitive to additional fluctuations induced by environmental heterogeneities. Tracking mutant clones with a tunable fitness effect in bacterial colonies grown on randomly patterned surfaces we found that environmental heterogeneity can dramatically reduce the efficacy of selection. Time-lapse microscopy and computer simulations suggest that this effect arises generically from a local 'pinning' of the expansion front, whereby stretches of the front are slowed down on a length scale that depends on the structure of the environmental heterogeneity. This pinning focuses the range expansion into a small number of 'lucky' individuals with access to expansion paths, altering the neutral evolutionary dynamics and increasing the importance of chance relative to selection.

Identifiants

pubmed: 30977724
doi: 10.7554/eLife.44359
pii: 44359
pmc: PMC6513619
doi:
pii:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIGMS NIH HHS
ID : R01 GM115851
Pays : United States

Informations de copyright

© 2019, Gralka and Hallatschek.

Déclaration de conflit d'intérêts

MG, OH No competing interests declared

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Auteurs

Matti Gralka (M)

Department of Physics, University of California, Berkeley, Berkeley, United States.

Oskar Hallatschek (O)

Department of Physics, University of California, Berkeley, Berkeley, United States.
Department of Integrative Biology, University of California, Berkeley, Berkeley, United States.

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Classifications MeSH