Evidence map›Paper›PMID 29343505›Full record

ReviewThe Plant cell2018

Revisiting Criteria for Plant MicroRNA Annotation in the Era of Big Data.

Michael J Axtell, Blake C Meyers

Open access · greenAbstract readReview
In one paragraph

Review in The Plant cell, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 219 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
219citing papers in PubMed, 1 pooled it
70.6field-weighted citation impact, top 1% 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

219 citing papers in PubMed, 1 synthesis or guideline pooled it, 446 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Characterization ofInternational journal of molecular sciences · 2026
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. miRNA-Mediated Regulation ofInternational journal of molecular sciences · 2025
    Article
  20. Article

159 more citing papers are in PubMed but not listed here.

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 2 institutions in 1 country.

Michael J AxtellThe Pennsylvania State University, Department of Biology and Huck Institutes of the Life Sciences, University Park, Pennsylvania 16802 mja18@psu.edu bmeyers@danforthcenter.org.ORCID 0000-0001-8951-7361
Blake C MeyersDonald Danforth Plant Science Center, St. Louis, Missouri 63132 mja18@psu.edu bmeyers@danforthcenter.org.ORCID 0000-0003-3436-6097
Donald Danforth Plant Science Center · USPennsylvania State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are ∼21-nucleotide-long regulatory RNAs that arise from endonucleolytic processing of hairpin precursors. Many function as essential posttranscriptional regulators of target mRNAs and long noncoding RNAs. Alongside miRNAs, plants also produce large numbers of short interfering RNAs (siRNAs), which are distinguished from miRNAs primarily by their biogenesis (typically processed from long double-stranded RNA instead of single-stranded hairpins) and functions (typically via roles in transcriptional regulation instead of posttranscriptional regulation). Next-generation DNA sequencing methods have yielded extensive data sets of plant small RNAs, resulting in many miRNA annotations. However, it has become clear that many miRNA annotations are questionable. The sheer number of endogenous siRNAs compared with miRNAs has been a major factor in the erroneous annotation of siRNAs as miRNAs. Here, we provide updated criteria for the confident annotation of plant miRNAs, suitable for the era of "big data" from DNA sequencing. The updated criteria emphasize replication and the minimization of false positives, and they require next-generation sequencing of small RNAs. We argue that improved annotation systems are needed for miRNAs and all other classes of plant small RNAs. Finally, to illustrate the complexities of miRNA and siRNA annotation, we review the evolution and functions of miRNAs and siRNAs in plants.

Indexed as

Evolution, MolecularInformaticsHigh-Throughput Nucleotide SequencingMicroRNAsMolecular Sequence AnnotationPlantsRNA, Double-StrandedRNA, PlantRNA, Small InterferingSequence Analysis, DNASequence Analysis, RNAMicroRNAsRNA, Double-StrandedRNA, PlantRNA, Small Interfering

Identifiers

PMID29343505
PMCPMC5868703
OpenAlexW2949470979

What OpenQuestion holds

Textmetadata
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.