Evidence map›Paper›PMID 23511197›Full record

ArticlePlant signaling & behavior2013

Identification of new stress-induced microRNA and their targets in wheat using computational approach.

Bharati Pandey, Om Prakash Gupta, Dev Mani Pandey, Indu Sharma, Pradeep Sharma

Abstract read
In one paragraph

Article in Plant signaling & behavior, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Differential expression profiling of microRNAs and their target genes during wheat-Physiology and molecular biology of plants : an international journal of functional plant biology · 2021
    Article
  5. Drought Response in Rice: The miRNA Story.International journal of molecular sciences · 2019
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. miRNA-based drought regulation in wheat.Functional & integrative genomics · 2016
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

5 authors.

Bharati PandeyPlant Biotechnology; Directorate of Wheat Research; Karnal, India; Department of Biotechnology; Birla Institute of Technology; Mesra, India.
Om Prakash Gupta
Dev Mani Pandey
Indu Sharma
Pradeep Sharma

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are a class of short endogenous non-coding small RNA molecules of about 18-22 nucleotides in length. Their main function is to downregulate gene expression in different manners like translational repression, mRNA cleavage and epigenetic modification. Computational predictions have raised the number of miRNAs in wheat significantly using an EST based approach. Hence, a combinatorial approach which is amalgamation of bioinformatics software and perl script was used to identify new miRNA to add to the growing database of wheat miRNA. Identification of miRNAs was initiated by mining the EST (Expressed Sequence Tags) database available at National Center for Biotechnology Information. In this investigation, 4677 mature microRNA sequences belonging to 50 miRNA families from different plant species were used to predict miRNA in wheat. A total of five abiotic stress-responsive new miRNAs were predicted and named Ta-miR5653, Ta-miR855, Ta-miR819k, Ta-miR3708 and Ta-miR5156. In addition, four previously identified miRNA, i.e., Ta-miR1122, miR1117, Ta-miR1134 and Ta-miR1133 were predicted in newly identified EST sequence and 14 potential target genes were subsequently predicted, most of which seems to encode ubiquitin carrier protein, serine/threonine protein kinase, 40S ribosomal protein, F-box/kelch-repeat protein, BTB/POZ domain-containing protein, transcription factors which are involved in growth, development, metabolism and stress response. Our result has increased the number of miRNAs in wheat, which should be useful for further investigation into the biological functions and evolution of miRNAs in wheat and other plant species.

Indexed as

Base SequenceComputational BiologyExpressed Sequence TagsGene Expression Regulation, PlantGenes, PlantMicroRNAsMolecular Sequence AnnotationMolecular Sequence DataNucleic Acid ConformationPhylogenySequence AlignmentStress, PhysiologicalTriticumMicroRNAscomputational predictionESTmiRNAtarget predictionwheat

Identifiers

PMID23511197
PMCPMC3906146

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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.