Evidence map›Paper›PMID 30150417›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Physical foundations of biological complexity.

Yuri I Wolf, Mikhail I Katsnelson, Eugene V Koonin

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

49 citing papers in PubMed.

  1. Geometric Learning Dynamics.Biological cybernetics · 2026
    Article
  2. The selfish ribosome.PLoS biology · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Bifurcations and phase transitions in the origins of life.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  11. Frustration in physiology and molecular medicine.Molecular aspects of medicine · 2025
    Review
  12. Article
  13. Article
  14. The key role of cheaters in the persistence of cooperation.bioRxiv : the preprint server for biology · 2024
    Article
  15. Evolution and development of complex floral displays.Development (Cambridge, England) · 2024
    Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Measuring Molecular Complexity.ACS central science · 2024
    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

3 authors.

Yuri I WolfNational Center for Biotechnology Information, National Library of Medicine, Bethesda, MD 20894.
Mikhail I KatsnelsonInstitute for Molecules and Materials, Radboud University, 6525AJ Nijmegen, The Netherlands.
Eugene V KooninNational Center for Biotechnology Information, National Library of Medicine, Bethesda, MD 20894; koonin@ncbi.nlm.nih.gov.ORCID 0000-0003-3943-8299

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological systems reach hierarchical complexity that has no counterpart outside the realm of biology. Undoubtedly, biological entities obey the fundamental physical laws. Can today's physics provide an explanatory framework for understanding the evolution of biological complexity? We argue that the physical foundation for understanding the origin and evolution of complexity can be gleaned at the interface between the theory of frustrated states resulting in pattern formation in glass-like media and the theory of self-organized criticality (SOC). On the one hand, SOC has been shown to emerge in spin-glass systems of high dimensionality. On the other hand, SOC is often viewed as the most appropriate physical description of evolutionary transitions in biology. We unify these two faces of SOC by showing that emergence of complex features in biological evolution typically, if not always, is triggered by frustration that is caused by competing interactions at different organizational levels. Such competing interactions lead to SOC, which represents the optimal conditions for the emergence of complexity. Competing interactions and frustrated states permeate biology at all organizational levels and are tightly linked to the ubiquitous competition for limiting resources. This perspective extends from the comparatively simple phenomena occurring in glasses to large-scale events of biological evolution, such as major evolutionary transitions. Frustration caused by competing interactions in multidimensional systems could be the general driving force behind the emergence of complexity, within and beyond the domain of biology.

Indexed as

AlgorithmsBiological EvolutionBiological PhenomenaModels, BiologicalPhysical PhenomenaAnimalsCell CommunicationComputer SimulationHumanscompeting interactionsevolution of complexityfrustrated statesself-organized criticalityspin glasses

Identifiers

PMID30150417
PMCPMC6140470

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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.