Evidence map›Paper›PMID 29690875›Full record

ArticleGenetics, selection, evolution : GSE2018

Cross-species inference of long non-coding RNAs greatly expands the ruminant transcriptome.

Stephen J Bush, Charity Muriuki, Mary E B McCulloch, Iseabail L Farquhar, Emily L Clark, David A Hume

Open access · goldAbstract readComparative Study
In one paragraph

Article in Genetics, selection, evolution : GSE, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 14% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Metamorphosis and lncRNAs: A Close Relationship.Genesis (New York, N.Y. : 2000) · 2026
    Review
  4. Article
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  6. LncRNAs in domesticated animals: from dog to livestock species.Mammalian genome : official journal of the International Mammalian Genome Society · 2022
    Review
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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

6 authors at 3 institutions in 2 countries.

Stephen J BushThe Roslin Institute, University of Edinburgh, Easter Bush Campus, Edinburgh, Midlothian, EH25 9RG, UK. stephen.bush@ndm.ox.ac.uk.
Charity MuriukiThe Roslin Institute, University of Edinburgh, Easter Bush Campus, Edinburgh, Midlothian, EH25 9RG, UK.
Mary E B McCullochThe Roslin Institute, University of Edinburgh, Easter Bush Campus, Edinburgh, Midlothian, EH25 9RG, UK.
Iseabail L FarquharCentre for Synthetic and Systems Biology, CH Waddington Building, Max Borne Crescent, King's Buildings, University of Edinburgh, Edinburgh, EH9 3BF, UK.
Emily L ClarkThe Roslin Institute, University of Edinburgh, Easter Bush Campus, Edinburgh, Midlothian, EH25 9RG, UK.
David A HumeThe Roslin Institute, University of Edinburgh, Easter Bush Campus, Edinburgh, Midlothian, EH25 9RG, UK. david.hume@uq.edu.au.
University of Edinburgh · GBMater Research · AURoslin Institute · GB

Funding

Biotechnology and Biological Sciences Research Council BB/J004243/1Biotechnology and Biological Sciences Research Council BB/L001209/1Biotechnology and Biological Sciences Research Council BB/P013732/1Biotechnology and Biological Sciences Research Council BBS/E/D/20211552Biotechnology and Biological Sciences Research Council (GB) BBS/E/D/2021550Medical Research Council MR/K001744/1Natural Environment Research Council R8/H10/56
6 · The paper itself

Abstract

backgroundmRNA-like long non-coding RNAs (lncRNAs) are a significant component of mammalian transcriptomes, although most are expressed only at low levels, with high tissue-specificity and/or at specific developmental stages. Thus, in many cases lncRNA detection by RNA-sequencing (RNA-seq) is compromised by stochastic sampling. To account for this and create a catalogue of ruminant lncRNAs, we compared de novo assembled lncRNAs derived from large RNA-seq datasets in transcriptional atlas projects for sheep and goats with previous lncRNAs assembled in cattle and human. We then combined the novel lncRNAs with the sheep transcriptional atlas to identify co-regulated sets of protein-coding and non-coding loci.

resultsFew lncRNAs could be reproducibly assembled from a single dataset, even with deep sequencing of the same tissues from multiple animals. Furthermore, there was little sequence overlap between lncRNAs that were assembled from pooled RNA-seq data. We combined positional conservation (synteny) with cross-species mapping of candidate lncRNAs to identify a consensus set of ruminant lncRNAs and then used the RNA-seq data to demonstrate detectable and reproducible expression in each species. In sheep, 20 to 30% of lncRNAs were located close to protein-coding genes with which they are strongly co-expressed, which is consistent with the evolutionary origin of some ncRNAs in enhancer sequences. Nevertheless, most of the lncRNAs are not co-expressed with neighbouring protein-coding genes.

conclusionsAlongside substantially expanding the ruminant lncRNA repertoire, the outcomes of our analysis demonstrate that stochastic sampling can be partly overcome by combining RNA-seq datasets from related species. This has practical implications for the future discovery of lncRNAs in other species.

Indexed as

AnimalsCattleChromosome MappingDatabases, GeneticGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksGoatsHigh-Throughput Nucleotide SequencingHumansMolecular Sequence AnnotationOrgan SpecificityRNA, Long NoncodingSequence Analysis, RNASheepSyntenyRNA, Long Noncoding

Identifiers

PMID29690875
PMCPMC5926538
OpenAlexW2802059357

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.