Evidence map›Paper›PMID 37907091›Full record

ArticleJournal of the Royal Society, Interface2023

The ecology-evolution continuum and the origin of life.

David A Baum, Zhen Peng, Emily Dolson, Eric Smith, Alex M Plum, Praful Gagrani

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Evolution from Composome to RNA Replicase.Life (Basel, Switzerland) · 2026
    Review
  5. Article
  6. Thermodynamic consistency of autocatalytic cycles.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Article
  8. Article
  9. 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

6 authors.

David A BaumWisconsin Institute for Discovery, University of Wisconsin, Madison, WI 53705, USA.ORCID 0000-0001-8334-6311
Zhen PengDepartment of Bacteriology, University of Wisconsin, Madison, WI 53706, USA.ORCID 0000-0003-2235-2341
Emily DolsonDepartment of Computer Science and Engineering, Michigan State University, East Lansing, MI 48824, USA.ORCID 0000-0001-8616-4898
Eric SmithDepartment of Biology, Georgia Institute of Technology, Atlanta, GA 30332, USA.ORCID 0000-0003-0013-3447
Alex M PlumDepartment of Physics, University of California, San Diego, CA 92093, USA.ORCID 0000-0003-4076-2424
Praful GagraniWisconsin Institute for Discovery, University of Wisconsin, Madison, WI 53705, USA.ORCID 0000-0001-7681-042X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prior research on evolutionary mechanisms during the origin of life has mainly assumed the existence of populations of discrete entities with information encoded in genetic polymers. Recent theoretical advances in autocatalytic chemical ecology establish a broader evolutionary framework that allows for adaptive complexification prior to the emergence of bounded individuals or genetic encoding. This framework establishes the formal equivalence of cells, ecosystems and certain localized chemical reaction systems as autocatalytic chemical ecosystems (ACEs): food-driven (open) systems that can grow due to the action of autocatalytic cycles (ACs). When ACEs are organized in meta-ecosystems, whether they be populations of cells or sets of chemically similar environmental patches, evolution, defined as change in AC frequency over time, can occur. In cases where ACs are enriched because they enhance ACE persistence or dispersal ability, evolution is adaptive and can build complexity. In particular, adaptive evolution can explain the emergence of self-bounded units (e.g. protocells) and genetic inheritance mechanisms. Recognizing the continuity between ecological and evolutionary change through the lens of autocatalytic chemical ecology suggests that the origin of life should be seen as a general and predictable outcome of driven chemical ecosystems rather than a phenomenon requiring specific, rare conditions.

Indexed as

Artificial CellsOrigin of LifeCatalysisEcosystemHumansautocatalysischemical reaction networksecologyevolutionorigin of lifesuccession

Identifiers

PMID37907091
PMCPMC10618062

What OpenQuestion holds

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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.