Evidence map›Paper›PMID 31138098›Full record

ArticleOpen biology2019

Widespread selection for extremely high and low levels of secondary structure in coding sequences across all domains of life.

Daniel Gebert, Julia Jehn, David Rosenkranz

Abstract read
In one paragraph

Article in Open biology, 2019. 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

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

7 citing papers in PubMed.

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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

3 authors.

Daniel GebertInstitute of Organismic and Molecular Evolution iOME, Anthropology, Johannes Gutenberg University Mainz , Anselm-Franz-von-Bentzel-Weg 7, 55099 Mainz , Germany.
Julia JehnInstitute of Organismic and Molecular Evolution iOME, Anthropology, Johannes Gutenberg University Mainz , Anselm-Franz-von-Bentzel-Weg 7, 55099 Mainz , Germany.
David RosenkranzInstitute of Organismic and Molecular Evolution iOME, Anthropology, Johannes Gutenberg University Mainz , Anselm-Franz-von-Bentzel-Weg 7, 55099 Mainz , Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Codon composition, GC content and local RNA secondary structures can have a profound effect on gene expression, and mutations affecting these parameters, even though they do not alter the protein sequence, are not neutral in terms of selection. Although evidence exists that, in some cases, selection favours more stable RNA secondary structures, we currently lack a concrete idea of how many genes are affected within a species, and whether this is a universal phenomenon in nature. We searched for signs of structural selection in a global manner, analysing a set of 1 million coding sequences from 73 species representing all domains of life, as well as viruses, by means of our newly developed software PACKEIS. We show that codon composition and amino acid identity are main determinants of RNA secondary structure. In addition, we show that the arrangement of synonymous codons within coding sequences is non-random, yielding extremely high, but also extremely low, RNA structuredness significantly more often than expected by chance. Taken together, we demonstrate that selection for high and low levels of secondary structure is a widespread phenomenon. Our results provide another line of evidence that synonymous mutations are less neutral than commonly thought, which is of importance for many evolutionary models.

Indexed as

Open Reading FramesBase CompositionCodon UsageComputational BiologyNucleic Acid ConformationRNASoftwareRNAmRNA backfoldingnatural selectionPACKEISRNA secondary structure

Identifiers

PMID31138098
PMCPMC6544989

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.