Evidence map›Paper›PMID 41752858›Full record

ReviewLife (Basel, Switzerland)2026

Evolution from Composome to RNA Replicase.

Shaojie Deng, Doron Lancet, Roy Yaniv

Abstract readReview
In one paragraph

Review in Life (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Tracing Genetic Images Formed During Evolution.International journal of molecular sciences · 2026
    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.

Shaojie DengChongqing (Fengjie) Municipal Bureau of Planning and Natural Resources, Chongqing 404699, China.ORCID 0000-0002-4238-2962
Doron LancetDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot 7610001, Israel.ORCID 0000-0001-5424-1393
Roy YanivDepartment of Molecular Genetics, Weizmann Institute of Science, Rehovot 7610001, Israel.ORCID 0009-0008-5016-8764

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper proposes a novel scheme for the origin of RNA replicase based on the replication-first stable complex evolution (SCE) model, also known as the stable complex encoding (SCE) model, and attempts to derive this scheme from the metabolism-first graded autocatalysis replication domain (GARD) model, thereby theoretically integrating the two hypotheses of the origin of life: replication-first and metabolism-first. Currently, although the replication-first model has made some progress in the artificial selection of RNA replicase, it has yet to achieve a true breakthrough. Meanwhile, metabolism-first models such as the CAS (Collectively Autocatalytic Set) and its graph version RAF (Reflexively Autocatalytic and Food-generated) models, have conducted in-depth research into the origin of metabolic networks but have failed to address the critical transformation issue from metabolism to RNA replication. This paper argues that these two hypotheses should mutually support each other. By introducing oligonucleotide assemblies and expanding the concept of composomes in the GARD model, this paper attempts to understand the general evolutionary mechanism of enzymes, thereby addressing the long-standing neglect of enzymatic catalysis in metabolism-first theories. This integrated scheme not only provides new theoretical support for the evolution of RNA replicase but also offers important insights into solving the key transition problem from chemical evolution to biological evolution.

Indexed as

chemical evolutioncompositional informationDarwinian evolutiongenetic informationmetabolism graded autocatalysis replication domain modelorigin of lifeRNA hypothesisRNA replicasestable complex encoding model

Identifiers

PMID41752858
PMCPMC12942421

What OpenQuestion holds

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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.