ArticleJournal of the Royal Society, Interface2023
The ecology-evolution continuum and the origin of life.
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.
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.
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.
Who cites it
9 citing papers in PubMed.
- From rule-taking to rule-making chemistry: a minimal population-environment feedback model.Journal of the Royal Society, Interface · 2026Article
- The Emergence of Life in the Light of Evolution.ArXiv · 2026Article
- The RNA-First Fallacy: Conflating Evolutionary Ancestry with Prebiotic Primacy.Life (Basel, Switzerland) · 2026Article
- Evolution from Composome to RNA Replicase.Life (Basel, Switzerland) · 2026Review
- Priority effects inhibit the repeated evolution of phototrophy.Npj complexity · 2026Article
- Thermodynamic consistency of autocatalytic cycles.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Biological Polymers: Evolution, Function, and Significance.Accounts of chemical research · 2025Article
- On the Origin of Information Dynamics in Early Life.Life (Basel, Switzerland) · 2025Article
- Spatial structure supports diversity in prebiotic autocatalytic chemical ecosystems.Npj complexity · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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.