Evidence map›Paper›PMID 25822729›Full record

ArticlePloS one2015

Conservation and losses of non-coding RNAs in avian genomes.

Paul P Gardner, Mario Fasold, Sarah W Burge, Maria Ninova, Jana Hertel, Stephanie Kehr, Tammy E Steeves, Sam Griffiths-Jones, Peter F Stadler

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. A conservedRNA biology · 2023
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
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  9. Article
  10. Review
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  12. Functional classification of 15 million SNPs detected from diverse chicken populations.DNA research : an international journal for rapid publication of reports on genes and genomes · 2015
    Article
  13. Third Report on Chicken Genes and Chromosomes 2015.Cytogenetic and genome research · 2015
    Article
  14. 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

9 authors.

Paul P GardnerSchool of Biological Sciences, University of Canterbury, Christchurch, New Zealand; Biomolecular Interaction Centre, University of Canterbury, Christchurch, New Zealand.
Mario FasoldBioinformatics Group, Department of Computer Science; and Interdisciplinary Center for Bioinformatics, University of Leipzig, Härtelstrasse 16-18, D-04107 Leipzig, Germany; ecSeq Bioinformatics, Brandvorwerkstr.43, D-04275 Leipzig, Germany.
Sarah W BurgeEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD, UK.
Maria NinovaFaculty of Life Sciences, University of Manchester, Manchester, United Kingdom.
Jana HertelBioinformatics Group, Department of Computer Science; and Interdisciplinary Center for Bioinformatics, University of Leipzig, Härtelstrasse 16-18, D-04107 Leipzig, Germany.
Stephanie KehrBioinformatics Group, Department of Computer Science; and Interdisciplinary Center for Bioinformatics, University of Leipzig, Härtelstrasse 16-18, D-04107 Leipzig, Germany.
Tammy E SteevesSchool of Biological Sciences, University of Canterbury, Christchurch, New Zealand.
Sam Griffiths-JonesFaculty of Life Sciences, University of Manchester, Manchester, United Kingdom.
Peter F StadlerBioinformatics Group, Department of Computer Science; and Interdisciplinary Center for Bioinformatics, University of Leipzig, Härtelstrasse 16-18, D-04107 Leipzig, Germany; Max Planck Institute for Mathematics in the Sciences, Inselstraße 22, D-04103 Leipzig, Germany; Fraunhofer Institute for Cell Therapy and Immunology, Perlickstrasse 1, D-04103 Leipzig, Germany; Department of Theoretical Chemistry of the University of Vienna, Währingerstrasse 17, A-1090 Vienna, Austria; Center for RNA in Technology and Health, Univ. Copenhagen, Grønnegårdsvej 3, Frederiksberg C, Denmark; Santa Fe Institute, 1399 Hyde Park Road, Santa Fe NM 87501, USA; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here we present the results of a large-scale bioinformatics annotation of non-coding RNA loci in 48 avian genomes. Our approach uses probabilistic models of hand-curated families from the Rfam database to infer conserved RNA families within each avian genome. We supplement these annotations with predictions from the tRNA annotation tool, tRNAscan-SE and microRNAs from miRBase. We identify 34 lncRNA-associated loci that are conserved between birds and mammals and validate 12 of these in chicken. We report several intriguing cases where a reported mammalian lncRNA, but not its function, is conserved. We also demonstrate extensive conservation of classical ncRNAs (e.g., tRNAs) and more recently discovered ncRNAs (e.g., snoRNAs and miRNAs) in birds. Furthermore, we describe numerous "losses" of several RNA families, and attribute these to either genuine loss, divergence or missing data. In particular, we show that many of these losses are due to the challenges associated with assembling avian microchromosomes. These combined results illustrate the utility of applying homology-based methods for annotating novel vertebrate genomes.

Indexed as

AnimalsBirdsChickensComputational BiologyConserved SequenceGene DosageGenetic VariationGenomeHumansMammalsMicroRNAsMolecular Sequence AnnotationMultigene FamilyPseudogenesRegulatory Elements, TranscriptionalRNA, Small NucleolarMicroRNAsRNA, Small NucleolarRNA, Untranslated

Identifiers

PMID25822729
PMCPMC4378963

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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.