Evidence map›Paper›PMID 28903058›Full record

ReviewBio Systems2018

Insuperable problems of the genetic code initially emerging in an RNA world.

Peter R Wills, Charles W Carter

Abstract readReview
In one paragraph

Review in Bio Systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. The prebiotic emergence of biological evolution.Royal Society open science · 2024
    Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Origin of Life: The Point of No Return.Life (Basel, Switzerland) · 2020
    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

2 authors.

Peter R WillsDepartment of Physics, University of Auckland, PB 92109, Auckland 1142, New Zealand; Department of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States. Electronic address: p.wills@auckland.ac.nz.
Charles W CarterDepartment of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.

Funding

Sense/Antisense Genetic Coding and the Origins of TranslationR01GM078227 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CARTER, CHARLES W. · 2006 to 2018
$3.9M
NIGMS NIH HHS R01 GM078227
6 · The paper itself

Abstract

Differential equations for error-prone information transfer (template replication, transcription or translation) are developed in order to consider, within the theory of autocatalysis, the advent of coded protein synthesis. Variations of these equations furnish a basis for comparing the plausibility of contrasting scenarios for the emergence of specific tRNA aminoacylation, ultimately by enzymes, and the relationship of this process with the origin of the universal system of molecular biological information processing embodied in the Central Dogma. The hypothetical RNA World does not furnish an adequate basis for explaining how this system came into being, but principles of self-organisation that transcend Darwinian natural selection furnish an unexpectedly robust basis for a rapid, concerted transition to genetic coding from a peptide·RNA world.

Indexed as

Evolution, MolecularAnimalsCatalysisGenetic CodeHumansProtein BiosynthesisRNARNA, TransferRNARNA, TransferAminoacyl-tRNA synthetaseAutocatalysisGRT systemsQuasi-species bifurcationRNA World

Identifiers

PMID28903058
PMCPMC5895081

What OpenQuestion holds

Textmetadata
LicenceTDM
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.