Evidence map›Paper›PMID 27743002›Full record

ArticleJournal of molecular evolution2016

An Autotrophic Origin for the Coded Amino Acids is Concordant with the Coevolution Theory of the Genetic Code.

Massimo Di Giulio

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In one paragraph

Article in Journal of molecular evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

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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

6 citing papers in PubMed, 27 citations in OpenAlex.

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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

1 author at 1 institution in 1 country.

Massimo Di GiulioEarly Evolution of Life Laboratory, Institute of Biosciences and Bioresources, CNR, Via P. Castellino, 111, 80131, Naples, Italy. massimo.digiulio@ibbr.cnr.it.
Institute of Biosciences and Bioresources · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coevolution theory of the origin of the genetic code maintains that the biosynthetic relationships between amino acids co-evolved with the genetic code organization. In other words, the metabolism of amino acids co-evolved with the organization of the genetic code because the biosynthetic pathways of amino acids occurred on tRNA-like molecules. Thus, a heterotrophic origin of amino acids-also only of those involved in the early phase of the structuring of the genetic code-would seem to contradict the main postulate of the coevolution theory. As a matter of fact, this origin not being linked to the metabolism of amino acids in any way-being taken from a physical setting-would seem to remove the possibility that this metabolism had instead heavily contributed to the structuring of the genetic code. Therefore, I have analyzed the structure of the genetic code and mechanisms that brought to its structuring for understanding if the coevolution theory is compatible with autotrophic or heterotrophic conditions. One of the arguments was that an autotrophic origin of amino acids would have the advantage to be able to directly link their metabolism to the structure of the genetic code if-as hypothesized by the coevolution theory-the biosyntheses of amino acids occurred on tRNA-like molecules. Simultaneously, a heterotrophic origin would not have been able to link the metabolism of amino acids to the structure of the genetic code for the absence of a precise determinism of allocation of amino acids, that is to say of a clear mechanism-linked to tRNA-like molecules, for example-that would have determined the specific pattern observed in the genetic code of the biosynthetic relationships between amino acids. The conclusion is that an autotrophic origin of coded amino acids would seem to be the condition under which the genetic code originated.

Indexed as

Evolution, MolecularGenetic CodeAmino AcidsAutotrophic ProcessesModels, GeneticOrigin of LifeRNA, TransferAmino AcidsRNA, TransferAutotrophyCoded amino acid autotrophic originHeterotrophy

Identifiers

PMID27743002
OpenAlexW2531179033

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.