Evidence map›Paper›PMID 35131858›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Thermodynamics of evolution and the origin of life.

Vitaly Vanchurin, Yuri I Wolf, Eugene V Koonin, Mikhail I Katsnelson

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Geometric Learning Dynamics.Biological cybernetics · 2026
    Article
  2. How Does Genetic Information Enable Life?Bulletin of mathematical biology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Bifurcations and phase transitions in the origins of life.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  7. Dataset-Learning Duality and Emergent Criticality.Entropy (Basel, Switzerland) · 2025
    Article
  8. Article
  9. Thermodynamic consistency of autocatalytic cycles.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Evolution at the Origins of Life?Life (Basel, Switzerland) · 2024
    Review
  19. Article
  20. 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

4 authors.

Vitaly VanchurinNational Center for Biotechnology Information, National Library of Medicine, Bethesda, MD 20894; vitaly.vanchurin@gmail.com koonin@ncbi.nlm.nih.gov m.katsnelson@science.ru.nl.
Yuri I WolfNational Center for Biotechnology Information, National Library of Medicine, Bethesda, MD 20894.ORCID 0000-0002-0247-8708
Eugene V KooninNational Center for Biotechnology Information, National Library of Medicine, Bethesda, MD 20894; vitaly.vanchurin@gmail.com koonin@ncbi.nlm.nih.gov m.katsnelson@science.ru.nl.ORCID 0000-0003-3943-8299
Mikhail I KatsnelsonInstitute for Molecules and Materials, Radboud University, Nijmegen 6525AJ, The Netherlands vitaly.vanchurin@gmail.com koonin@ncbi.nlm.nih.gov m.katsnelson@science.ru.nl.ORCID 0000-0001-5165-7553

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We outline a phenomenological theory of evolution and origin of life by combining the formalism of classical thermodynamics with a statistical description of learning. The maximum entropy principle constrained by the requirement for minimization of the loss function is employed to derive a canonical ensemble of organisms (population), the corresponding partition function (macroscopic counterpart of fitness), and free energy (macroscopic counterpart of additive fitness). We further define the biological counterparts of temperature (evolutionary temperature) as the measure of stochasticity of the evolutionary process and of chemical potential (evolutionary potential) as the amount of evolutionary work required to add a new trainable variable (such as an additional gene) to the evolving system. We then develop a phenomenological approach to the description of evolution, which involves modeling the grand potential as a function of the evolutionary temperature and evolutionary potential. We demonstrate how this phenomenological approach can be used to study the "ideal mutation" model of evolution and its generalizations. Finally, we show that, within this thermodynamics framework, major transitions in evolution, such as the transition from an ensemble of molecules to an ensemble of organisms, that is, the origin of life, can be modeled as a special case of bona fide physical phase transitions that are associated with the emergence of a new type of grand canonical ensemble and the corresponding new level of description.

Indexed as

Origin of LifeThermodynamicsBiological EvolutionEntropyModels, BiologicalMutationTemperatureentropylaws of thermodynamicsmajor transitions in evolutionorigin of lifetheory of learning

Identifiers

PMID35131858
PMCPMC8833196

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.