Evidence map›Paper›PMID 29632260›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2018

Emergence of evolutionary driving forces in pattern-forming microbial populations.

Jona Kayser, Carl F Schreck, QinQin Yu, Matti Gralka, Oskar Hallatschek

Abstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
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  11. Review
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  15. Self-organization: the fundament of cell biology.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018
    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

5 authors.

Jona KayserDepartment of Physics, University of California, Berkeley, CA 94720, USA.
Carl F SchreckDepartment of Physics, University of California, Berkeley, CA 94720, USA.
QinQin YuDepartment of Physics, University of California, Berkeley, CA 94720, USA.
Matti GralkaDepartment of Physics, University of California, Berkeley, CA 94720, USA.
Oskar HallatschekDepartment of Physics, University of California, Berkeley, CA 94720, USA ohallats@berkeley.edu.ORCID 0000-0002-1312-5975

Funding

Resolving the Mechano-Chemical Regulation of Microbial Populations in Microfluidic DevicesR01GM115851 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI HALLATSCHEK, OSKAR · 2015 to 2023
$2.2M
NIGMS NIH HHS R01 GM115851
6 · The paper itself

Abstract

Evolutionary dynamics are controlled by a number of driving forces, such as natural selection, random genetic drift and dispersal. In this perspective article, we aim to emphasize that these forces act at the population level, and that it is a challenge to understand how they emerge from the stochastic and deterministic behaviour of individual cells. Even the most basic steric interactions between neighbouring cells can couple evolutionary outcomes of otherwise unrelated individuals, thereby weakening natural selection and enhancing random genetic drift. Using microbial examples of varying degrees of complexity, we demonstrate how strongly cell-cell interactions influence evolutionary dynamics, especially in pattern-forming systems. As pattern formation itself is subject to evolution, we propose to study the feedback between pattern formation and evolutionary dynamics, which could be key to predicting and potentially steering evolutionary processes. Such an effort requires extending the systems biology approach from the cellular to the population scale.This article is part of the theme issue 'Self-organization in cell biology'.

Indexed as

Biological EvolutionSelection, GeneticBacteriaCell Communicationcell–cell interactionsgenetic driftMicrobial evolutionnatural selectionpattern formationspatial structure

Identifiers

PMID29632260
PMCPMC5904294

What OpenQuestion holds

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Registered trials

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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.