Emergence of evolutionary driving forces in pattern-forming microbial populations
| Autor: | Oskar Hallatschek, Matti Gralka, Carl F. Schreck, QinQin Yu, Jona Kayser |
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| Přispěvatelé: | Systems Biology, AIMMS |
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Population level cell–cell interactions Spatial structure Computer science Natural selection Systems biology Population Pattern formation Cell Communication General Biochemistry Genetics and Molecular Biology 03 medical and health sciences Genetic drift Genetic pattern formation Genetics Selection Genetic education Evolutionary dynamics cell-cell interactions Selection education.field_of_study Medical And Health Sciences Evolutionary Biology Bacteria Microbial evolution natural selection Articles spatial structure Biological Sciences Biological Evolution 030104 developmental biology Cell interactions Evolutionary biology Biological dispersal Cell genetic drift General Agricultural and Biological Sciences |
| Zdroj: | Philosophical transactions of the Royal Society of London. Series B, Biological sciences, vol 373, iss 1747 Philosophical Transactions of the Royal Society B: Biological Sciences, 373(1747). Royal Society of London Kayser, J; Schreck, CF; Yu, Q; Gralka, M; & Hallatschek, O. (2018). Emergence of evolutionary driving forces in pattern-forming microbial populations. Philosophical Transactions of the Royal Society B: Biological Sciences, 373(1747), 20170106-20170106. doi: 10.1098/rstb.2017.0106. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/4gc097z0 |
| ISSN: | 0962-8436 |
| DOI: | 10.1098/rstb.2017.0106. |
| Popis: | © 2018 The Author(s) Published by the Royal Society. All rights reserved. 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’. |
| Databáze: | OpenAIRE |
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