Evidence map›Paper›PMID 25763692›Full record

ArticlePlant signaling & behavior2014

Computational identification of conserved microRNAs and their targets from expression sequence tags of blueberry (Vaccinium corybosum).

Xuyan Li, Yanming Hou, Li Zhang, Wenhao Zhang, Chen Quan, Yuhai Cui, Shaomin Bian

Abstract read
In one paragraph

Article in Plant signaling & behavior, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Microarray analysis ofPhysiology and molecular biology of plants : an international journal of functional plant biology · 2021
    Article
  4. Article
  5. Article
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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

7 authors.

Xuyan Lia College of Plant Science; Jilin University; Changchun, Jilin, PR China.
Yanming Hou
Li Zhang
Wenhao Zhang
Chen Quan
Yuhai Cui
Shaomin Bian

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are a class of endogenous, approximately 21nt in length, non-coding RNA, which mediate the expression of target genes primarily at post-transcriptional levels. miRNAs play critical roles in almost all plant cellular and metabolic processes. Although numerous miRNAs have been identified in the plant kingdom, the miRNAs in blueberry, which is an economically important small fruit crop, still remain totally unknown. In this study, we reported a computational identification of miRNAs and their targets in blueberry. By conducting an EST-based comparative genomics approach, 9 potential vco-miRNAs were discovered from 22,402 blueberry ESTs according to a series of filtering criteria, designated as vco-miR156-5p, vco-miR156-3p, vco-miR1436, vco-miR1522, vco-miR4495, vco-miR5120, vco-miR5658, vco-miR5783, and vco-miR5986. Based on sequence complementarity between miRNA and its target transcript, 34 target ESTs from blueberry and 70 targets from other species were identified for the vco-miRNAs. The targets were found to be involved in transcription, RNA splicing and binding, DNA duplication, signal transduction, transport and trafficking, stress response, as well as synthesis and metabolic process. These findings will greatly contribute to future research in regard to functions and regulatory mechanisms of blueberry miRNAs.

Indexed as

Base SequenceBlueberry PlantsComputational BiologyConserved SequenceExpressed Sequence TagsMicroRNAsModels, MolecularMolecular Sequence DataNucleic Acid ConformationPhylogenyRNA, PlantSignal TransductionMicroRNAsRNA, Plantblueberrycomparative genomicsExpression sequence tagsmicroRNAsmiRNA targets

Identifiers

PMID25763692
PMCPMC4203583

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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.