Evidence map›Paper›PMID 26054480›Full record

ReviewJournal of molecular evolution2015

Pathways of Genetic Code Evolution in Ancient and Modern Organisms.

Supratim Sengupta, Paul G Higgs

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of molecular evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

32 citing papers in PubMed, 87 citations in OpenAlex.

  1. Article
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  9. Theories, laws, and models in evo-devo.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2022
    Review
  10. Article
  11. The Codon Usage in the Minimal Natural Cell.Origins of life and evolution of the biosphere : the journal of the International Society for the Study of the Origin of Life · 2021
    Article
  12. Article
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  14. Basic principles of the genetic code extension.Royal Society open science · 2020
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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 at 2 institutions in 2 countries.

Supratim SenguptaDepartment of Physical Sciences, Indian Institute of Science Education and Research Kolkata, Mohanpur, 741246, India.
Paul G Higgs
Indian Institute of Science Education and Research Kolkata · INMcMaster University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There have been two distinct phases of evolution of the genetic code: an ancient phase--prior to the divergence of the three domains of life, during which the standard genetic code was established--and a modern phase, in which many alternative codes have arisen in specific groups of genomes that differ only slightly from the standard code. Here we discuss the factors that are most important in these two phases, and we argue that these are substantially different. In the modern phase, changes are driven by chance events such as tRNA gene deletions and codon disappearance events. Selection acts as a barrier to prevent changes in the code. In contrast, in the ancient phase, selection for increased diversity of amino acids in the code can be a driving force for addition of new amino acids. The pathway of code evolution is constrained by avoiding disruption of genes that are already encoded by earlier versions of the code. The current arrangement of the standard code suggests that it evolved from a four-column code in which Gly, Ala, Asp, and Val were the earliest encoded amino acids.

Indexed as

Evolution, MolecularGenetic CodeAlanineArchaeaAspartic AcidBacteriaCodonEukaryotaGlycineModels, GeneticRNA, TransferSelection, GeneticValineAlanineAspartic AcidCodonGlycineRNA, TransferValine

Identifiers

PMID26054480
OpenAlexW1021008049

What OpenQuestion holds

Textmetadata
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.