Evidence map›Paper›PMID 28989747›Full record

ArticleRoyal Society open science2017

Molecular trade-offs in RNA ligases affected the modular emergence of complex ribozymes at the origin of life.

Nisha Dhar, Marc S Weinberg, Richard E Michod, Pierre M Durand

Abstract read
In one paragraph

Article in Royal Society open science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Genome Evolution from Random Ligation of RNAs of Autocatalytic Sets.International journal of molecular sciences · 2021
    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

4 authors.

Nisha DharDepartment of Molecular Medicine, University of the Witwatersrand, Johannesburg, South Africa.ORCID 0000-0002-7964-5818
Marc S WeinbergAntiviral Gene Therapy Research Unit, University of the Witwatersrand, Johannesburg, South Africa.
Richard E MichodDepartment of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA.
Pierre M DurandEvolutionary Studies Institute, University of the Witwatersrand, Johannesburg, South Africa.ORCID 0000-0002-9614-1371

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the RNA world hypothesis complex, self-replicating ribozymes were essential. For the emergence of an RNA world, less is known about the early processes that accounted for the formation of complex, long catalysts from small passively formed molecules. The functional role of small sequences has not been fully explored and, here, a possible role for smaller ligases is demonstrated. An established RNA polymerase model, the R18, was truncated from the 3' end to generate smaller molecules. All the molecules were investigated for self-ligation functions with a set of oligonucleotide substrates without predesigned base pairing. The smallest molecule that exhibited self-ligation activity was a 40-nucleotide RNA. It also demonstrated the greatest functional flexibility as it was more general in the kinds of substrates it ligated to itself although its catalytic efficiency was the lowest. The largest ribozyme (R18) ligated substrates more selectively and with greatest efficiency. With increase in size and predicted structural stability, self-ligation efficiency improved, while functional flexibility decreased. These findings reveal that molecular size could have increased from the activity of small ligases joining oligonucleotides to their own end. In addition, there is a size-associated molecular-level trade-off that could have impacted the evolution of RNA-based life.

Indexed as

catalytic RNAcomplexitymolecular trade-offorigin of life

Identifiers

PMID28989747
PMCPMC5627087

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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.