Evidence map›Paper›PMID 42423740›Full record

ArticleJournal of molecular evolution2026

Resurrecting tRNAs of the Last Universal Common Ancestor (Commonote) Toward Rebuilding the Ancient Translation System.

Kei Yamanouchi, Hinata Moriya, Shin-Ichi Yokobori

Abstract read
In one paragraph

Article in Journal of molecular evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kei YamanouchiDepartment of Applied Life Sciences, School of Life Sciences, Tokyo University of Pharmacy and Life Sciences, Horinouchi, Tokyo, Hachioji, 192-0392, Japan.
Hinata MoriyaDepartment of Applied Life Sciences, School of Life Sciences, Tokyo University of Pharmacy and Life Sciences, Horinouchi, Tokyo, Hachioji, 192-0392, Japan.
Shin-Ichi YokoboriDepartment of Applied Life Sciences, School of Life Sciences, Tokyo University of Pharmacy and Life Sciences, Horinouchi, Tokyo, Hachioji, 192-0392, Japan. yokobori@toyaku.ac.jp.ORCID http://orcid.org/0000-0002-7356-3299

Funding

Astrobiology Center Program of National Institutes of Natural Sciences (NINS) AB311010
6 · The paper itself

Abstract

Ancestral sequence reconstruction (ASR) was used to study the evolution of the translational system by inferring tRNA sequences of the Last Archaeal Common Ancestor (LACA), the Last Bacterial Common Ancestor (LBCA), and the Last Universal Common Ancestor (LUCA), referred to as "Commonote" in our previous studies. A composite phylogenetic tree inferred from the reconstructed ancestral tRNA sequences revealed a topology distinct from those of previously inferred aminoacyl-tRNA synthetase (ARS) trees. This incongruence may reflect changes in tRNA structural features or distinct evolutionary pressures on tRNAs and ARSs, suggesting a more nuanced evolutionary history of the translation system, but it may also arise from methodological differences between studies. Phylogenetic analysis identified conserved identity elements, such as the discriminator base and anticodon, across tRNAs for different amino acids, supporting their status as ancestral features. Most LUCA tRNA species retain bacterial identity elements, potentially enabling their use in modern systems such as Escherichia coli, although exceptions, including tRNA

Indexed as

Evolution, MolecularProtein BiosynthesisRNA, TransferAmino Acyl-tRNA SynthetasesAnticodonArchaeaBacteriaBase SequenceNucleic Acid ConformationPhylogenyAmino Acyl-tRNA SynthetasesAnticodonRNA, TransferAncestral sequence reconstructionLast universal common ancestortRNAWobble rule

Identifiers

PMID42423740
PMCPMC13433404

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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.