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An evolutionary scenario for the transition to undifferentiated multicellularity

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Pfeiffer, Thomas, Bonhoeffer, Sebastian·2003·Proceedings of the National Academy of Sciences

Abstract

The evolutionary transition from single cells toward multicellular forms of life represents one of the major transitions in the evolution of complex organisms. In this transition, single autonomously reproducing cells became parts of larger reproducing entities that eventually constituted a new unit of selection. The first step in the evolutionary transition to multicellularity likely was the evolution of simple, undifferentiated cell clusters. However, what the selective advantage of such cell clusters may have been remains unclear. Here, we argue that in populations of unicellular organisms with cooperative behavior, clustering may be beneficial by reducing interactions with noncooperative individuals. In support of this hypothesis, we present a set of computer simulations showing that clustering can evolve as a biological, heritable trait for cells that cooperate in the use of external energy resources. Following the evolution of simple cell clusters, further benefits could have arisen from the exchange of resources between cells of a cluster.

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Metadata

Authors
Pfeiffer, T., & Bonhoeffer, S.
Venue
Proceedings of the National Academy of Sciences
Published
2003-01-23
Volume
100
Issue
3
Pages
1095-1098
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1967897892
Cited by
183
References
0
FWCI
3.85
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: An evolutionary scenario for the transition to undifferentiated multicellularity. https://app.cochat.ai/papers/10.1073/pnas.0335420100
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Pfeiffer, T., & Bonhoeffer, S. (2003). An evolutionary scenario for the transition to undifferentiated multicellularity. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0335420100

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.