Evidence map›Paper›PMID 33558542›Full record

ArticleNature communications2021

Darwinian properties and their trade-offs in autocatalytic RNA reaction networks.

Sandeep Ameta, Simon Arsène, Sophie Foulon, Baptiste Saudemont, Bryce E Clifton, Andrew D Griffiths, Philippe Nghe

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.2field-weighted citation impact, top 6% of its field
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

19 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. The challenge of distinguishing living from non-living entities.Theory in biosciences = Theorie in den Biowissenschaften · 2026
    Review
  3. Article
  4. Article
  5. Thermodynamics of Darwinian selection in molecular replicators.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  6. Article
  7. Cross-chiral exponential amplification of an RNA enzyme.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Article
  9. Is Life Binary or Gradual?Life (Basel, Switzerland) · 2024
    Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Genome Evolution from Random Ligation of RNAs of Autocatalytic Sets.International journal of molecular sciences · 2021
    Article
  16. Article
  17. Review
  18. Review
  19. Review
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

7 authors at 2 institutions in 3 countries.

Sandeep Ameta *Laboratoire de Biochimie, ESPCI Paris, Université PSL, CNRS UMR 8231, 10 Rue Vauquelin, Paris, France.ORCID 0000-0003-2612-6018
Simon Arsène *Laboratoire de Biochimie, ESPCI Paris, Université PSL, CNRS UMR 8231, 10 Rue Vauquelin, Paris, France.
Sophie FoulonLaboratoire de Biochimie, ESPCI Paris, Université PSL, CNRS UMR 8231, 10 Rue Vauquelin, Paris, France.
Baptiste SaudemontLaboratoire de Biochimie, ESPCI Paris, Université PSL, CNRS UMR 8231, 10 Rue Vauquelin, Paris, France.
Bryce E CliftonSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, GA, USA.ORCID 0000-0003-4683-1427
Andrew D GriffithsLaboratoire de Biochimie, ESPCI Paris, Université PSL, CNRS UMR 8231, 10 Rue Vauquelin, Paris, France. andrew.griffiths@espci.psl.eu.ORCID 0000-0002-0808-3539
Philippe NgheLaboratoire de Biochimie, ESPCI Paris, Université PSL, CNRS UMR 8231, 10 Rue Vauquelin, Paris, France. philippe.nghe@espci.psl.eu.ORCID 0000-0003-3690-4610
Centre National de la Recherche Scientifique · FRGeorgia Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Discovering autocatalytic chemistries that can evolve is a major goal in systems chemistry and a critical step towards understanding the origin of life. Autocatalytic networks have been discovered in various chemistries, but we lack a general understanding of how network topology controls the Darwinian properties of variation, differential reproduction, and heredity, which are mediated by the chemical composition. Using barcoded sequencing and droplet microfluidics, we establish a landscape of thousands of networks of RNAs that catalyze their own formation from fragments, and derive relationships between network topology and chemical composition. We find that strong variations arise from catalytic innovations perturbing weakly connected networks, and that growth increases with global connectivity. These rules imply trade-offs between reproduction and variation, and between compositional persistence and variation along trajectories of network complexification. Overall, connectivity in reaction networks provides a lever to balance variation (to explore chemical states) with reproduction and heredity (persistence being necessary for selection to act), as required for chemical evolution.

Indexed as

BiocatalysisMetabolic Networks and PathwaysRNARNA

Identifiers

PMID33558542
PMCPMC7870898
OpenAlexW3126607267

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.