Evidence map›Paper›PMID 23710818›Full record

ArticleGenome biology2013

Mutations within lncRNAs are effectively selected against in fruitfly but not in human.

Wilfried Haerty, Chris P Ponting

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

39 citing papers in PubMed, 66 citations in OpenAlex.

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  16. Frontiers in oncology · 2020
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  20. Review
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 1 institution in 1 country.

Wilfried Haerty
Chris P Ponting
Genomics (United Kingdom) · GB

Funding

Medical Research Council MC_U137761446
6 · The paper itself

Abstract

backgroundPrevious studies in Drosophila and mammals have revealed levels of long non-coding RNAs (lncRNAs) sequence conservation that are intermediate between neutrally evolving and protein-coding sequence. These analyses compared conservation between species that diverged up to 75 million years ago. However, analysis of sequence polymorphisms within a species' population can provide an understanding of essentially contemporaneous selective constraints that are acting on lncRNAs and can quantify the deleterious effect of mutations occurring within these loci.

resultsWe took advantage of polymorphisms derived from the genome sequences of 163 Drosophila melanogaster strains and 174 human individuals to calculate the distribution of fitness effects of single nucleotide polymorphisms occurring within intergenic lncRNAs and compared this to distributions for SNPs present within putatively neutral or protein-coding sequences. Our observations show that in D.melanogaster there is a significant excess of rare frequency variants within intergenic lncRNAs relative to neutrally evolving sequences, whereas selection on human intergenic lncRNAs appears to be effectively neutral. Approximately 30% of mutations within these fruitfly lncRNAs are estimated as being weakly deleterious.

conclusionsThese contrasting results can be attributed to the large difference in effective population sizes between the two species. Our results suggest that while the sequences of lncRNAs will be well conserved across insect species, such loci in mammals will accumulate greater proportions of deleterious changes through genetic drift.

Indexed as

AnimalsBase SequenceConserved SequenceDrosophila melanogasterEvolution, MolecularGenetic FitnessHumansMutationPolymorphism, Single NucleotideRNA, Long NoncodingSelection, GeneticSequence Analysis, DNARNA, Long Noncoding

Identifiers

PMID23710818
PMCPMC4053968
OpenAlexW2162823258

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.