Evidence map›Paper›PMID 24500541›Full record

ArticleOrigins of life and evolution of the biosphere : the journal of the International Society for the Study of the Origin of Life2013

Revisiting the physico-chemical hypothesis of code origin: an analysis based on code-sequence coevolution in a finite population.

Ashutosh Vishwa Bandhu, Neha Aggarwal, Supratim Sengupta

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Article in Origins of life and evolution of the biosphere : the journal of the International Society for the Study of the Origin of Life, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

  1. Article
  2. Phenotypic Graphs and Evolution Unfold the Standard Genetic Code as the Optimal.Origins of life and evolution of the biosphere : the journal of the International Society for the Study of the Origin of Life · 2018
    Article
  3. Article
  4. On the Uniqueness of the Standard Genetic Code.Life (Basel, Switzerland) · 2017
    Article
  5. Article
  6. Review
  7. Two perspectives on the origin of the standard genetic code.Origins of life and evolution of the biosphere : the journal of the International Society for the Study of the Origin of Life · 2014
    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.

Ashutosh Vishwa BandhuSchool of Computational & Integrative Sciences, Jawaharlal Nehru University, New Delhi, 110067, India.
Neha Aggarwal
Supratim Sengupta

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The origin of the genetic code marked a major transition from a plausible RNA world to the world of DNA and proteins and is an important milestone in our understanding of the origin of life. We examine the efficacy of the physico-chemical hypothesis of code origin by carrying out simulations of code-sequence coevolution in finite populations in stages, leading first to the emergence of ten amino acid code(s) and subsequently to 14 amino acid code(s). We explore two different scenarios of primordial code evolution. In one scenario, competition occurs between populations of equilibrated code-sequence sets while in another scenario; new codes compete with existing codes as they are gradually introduced into the population with a finite probability. In either case, we find that natural selection between competing codes distinguished by differences in the degree of physico-chemical optimization is unable to explain the structure of the standard genetic code. The code whose structure is most consistent with the standard genetic code is often not among the codes that have a high fixation probability. However, we find that the composition of the code population affects the code fixation probability. A physico-chemically optimized code gets fixed with a significantly higher probability if it competes against a set of randomly generated codes. Our results suggest that physico-chemical optimization may not be the sole driving force in ensuring the emergence of the standard genetic code.

Indexed as

Evolution, MolecularGenetic CodeDNARNADNARNA

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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.