Cited by 15Evolutionary Game Theory and CooperationEvolution and Genetic DynamicsPhilosophy and History of Science

Cooperation and cheating as innovation: insights from cellular societies

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Aktipis, Athena, Maley, Carlo C.·2017·Philosophical Transactions of the Royal Society B: Biological Sciences

Abstract

The capacity to innovate is often considered a defining feature of human societies, but it is not a capacity that is unique to human societies: innovation occurs in cellular societies as well. Cellular societies such as multicellular bodies and microbial communities, including the human microbiome, are capable of innovation in response to novel opportunities and threats. Multicellularity represents a suite of innovations for cellular cooperation, but multicellularity also opened up novel opportunities for cells to cheat, exploiting the infrastructure and resources of the body. Multicellular bodies evolve less quickly than the cells within them, leaving them vulnerable to cellular innovations that can lead to cancer and infections. In order to counter these threats, multicellular bodies deploy additional innovations including the adaptive immune system and the development of partnerships with preferred microbial partners. What can we learn from examining these innovations in cooperation and cheating in cellular societies? First, innovation in social systems involves a constant tension between novel mechanisms that enable greater size and complexity of cooperative entities and novel ways of cheating. Second, cultivating cooperation with partners who can rapidly and effectively innovate (such as microbes) is important for large entities including multicellular bodies. And third, multicellularity enabled cells to manage risk socially, allowing organisms to survive in challenging environments where life would otherwise be impossible. Throughout, we ask how insights from cellular societies might be translated into new innovations in human health and medicine, promoting and protecting the cellular cooperation that makes us viable multicellular organisms. This article is part of the themed issue ‘Process and pattern in innovations from cells to societies’.

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Crossref · 10.1098/rstb.2016.0421

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  • The problem of cheaters arises from the asymmetry in time scales of growth: MC systems evolve slowly compared to the cells within them, which makes them vulnerable to cellular innovations, as occurs with cancer.

    “The problem arises from the asymmetry in time scales of growth: MC systems evolve slowly compared to the cells within them, which makes them vulnerable to cellular innovations, as occurs with cancer [200].”

    From Fundamental constraints to the logic of living systems (2024) · cites this paper as [200]

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Authors
Aktipis, A., & Maley, C. C.
Affiliations
  • University of California, San Francisco (US)
  • Arizona State University (US)
Venue
Philosophical Transactions of the Royal Society B: Biological Sciences
Published
2017-10-23
Volume
372
Issue
1735
Pages
20160421
ISSN
  • 0962-8436 (ISSN-L)
  • 1471-2970
OpenAlex
W2765198501
Cited by
15
References
4
Citations by year
2025: 1 · 2024: 1 · 2023: 3 · 2022: 1 · 2021: 3 · 2020: 2 · 2018: 1 · 2017: 3
FWCI
0.50
Type
journal article
Language
en
Open access
Locations
  • Philosophical Transactions of the Royal Society B Biological Sciences (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • NIH (Breakthrough Award DoD/Breast Cancer Research Prog)
  • NIH/NCI (Genomic and Microenvironmental Diversity as Driver)
  • John Templeton Foundation (Generous by Nature: The Human Generosity Project)
Topics
  • Social Sciences › Sociology and Political Science › Evolutionary Game Theory and Cooperation
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
  • Social Sciences › Arts and Humanities › History and Philosophy of Science › Philosophy and History of Science
Keywords
innovation, cellular cooperation, cheating, multicellularity, microbial communities, human microbiome, cancer, infection, adaptive immunity, social evolution, cell evolution, human health
MeSH terms
Cooperative Behavior, Biological Evolution, Models, Biological, Microbial Interactions, Eukaryota, Microbiota

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