Evidence map›Paper›PMID 29788279›Full record

ArticleGenome biology and evolution2018

Well-Annotated microRNAomes Do Not Evidence Pervasive miRNA Loss.

James E Tarver, Richard S Taylor, Mark N Puttick, Graeme T Lloyd, Walker Pett, Bastian Fromm, Bettina E Schirrmeister, Davide Pisani, Kevin J Peterson, Philip C J Donoghue

Abstract read
In one paragraph

Article in Genome biology and evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
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  12. Digging into bivalve miRNAomes: between conservation and innovation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Review
  13. Article
  14. Article
  15. Article
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  17. Article
  18. Review
  19. Article
  20. MicroRNAs: From Mechanism to Organism.Frontiers in cell and developmental biology · 2020
    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

10 authors.

James E TarverSchool of Earth Sciences and School of Biological Sciences, University of Bristol, United Kingdom.
Richard S TaylorSchool of Earth Sciences and School of Biological Sciences, University of Bristol, United Kingdom.
Mark N PuttickSchool of Earth Sciences and School of Biological Sciences, University of Bristol, United Kingdom.
Graeme T LloydSchool of Earth and Environment, University of Leeds, United Kingdom.
Walker PettDepartment of Ecology, Evolution and Organismal Biology, Iowa State University.
Bastian FrommDepartment of Tumor Biology, Institute for Cancer Research, The Norwegian Radium Hospital, Oslo University Hospital, Norway.
Bettina E SchirrmeisterSchool of Earth Sciences and School of Biological Sciences, University of Bristol, United Kingdom.
Davide PisaniSchool of Earth Sciences and School of Biological Sciences, University of Bristol, United Kingdom.
Kevin J PetersonDepartment of Biological Sciences, Dartmouth College, Hanover, New Hampshire.
Philip C J DonoghueSchool of Earth Sciences and School of Biological Sciences, University of Bristol, United Kingdom.

Funding

Biotechnology and Biological Sciences Research Council BB/N000919/1
6 · The paper itself

Abstract

microRNAs are conserved noncoding regulatory factors implicated in diverse physiological and developmental processes in multicellular organisms, as causal macroevolutionary agents and for phylogeny inference. However, the conservation and phylogenetic utility of microRNAs has been questioned on evidence of pervasive loss. Here, we show that apparent widespread losses are, largely, an artefact of poorly sampled and annotated microRNAomes. Using a curated data set of animal microRNAomes, we reject the view that miRNA families are never lost, but they are rarely lost (92% are never lost). A small number of families account for a majority of losses (1.7% of families account for >45% losses), and losses are associated with lineages exhibiting phenotypic simplification. Phylogenetic analyses based on the presence/absence of microRNA families among animal lineages, and based on microRNA sequences among Osteichthyes, demonstrate the power of these small data sets in phylogenetic inference. Perceptions of widespread evolutionary loss of microRNA families are due to the uncritical use of public archives corrupted by spurious microRNA annotations, and failure to discriminate false absences that occur because of incomplete microRNAome annotation.

Indexed as

AnimalsConserved SequenceEvolution, MolecularMicroRNAsMolecular Sequence AnnotationPhenotypePhylogenyMicroRNAs

Identifiers

PMID29788279
PMCPMC6007596

What OpenQuestion holds

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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.