Evidence map›Paper›PMID 22388699›Full record

ArticleMolecular biotechnology2013

Computational identification of microRNAs and their targets in cassava (Manihot esculenta Crantz.).

Onsaya Patanun, Manassawe Lertpanyasampatha, Punchapat Sojikul, Unchera Viboonjun, Jarunya Narangajavana

Abstract read
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In one paragraph

Article in Molecular biotechnology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
10.9field-weighted citation impact, top 2% 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

43 citing papers in PubMed, 87 citations in OpenAlex.

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  10. Identification of Long Non-coding RNA Transcripts inIranian journal of biotechnology · 2022
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  11. Frontiers in genetics · 2022
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  12. Article
  13. Identification of miRNA and their target genes inPhysiology and molecular biology of plants : an international journal of functional plant biology · 2022
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  14. Article
  15. Article
  16. MicroRNAs in Woody Plants.Frontiers in plant science · 2021
    Review
  17. Article
  18. Genome wide identification, characterization and validation of novel miRNA-based SSR markers in pomegranate (Physiology and molecular biology of plants : an international journal of functional plant biology · 2020
    Article
  19. 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

5 authors at 2 institutions in 1 country.

Onsaya PatanunDepartment of Biotechnology, Faculty of Science, Mahidol University, Bangkok, Thailand.
Manassawe Lertpanyasampatha
Punchapat Sojikul
Unchera Viboonjun
Jarunya Narangajavana
Mahidol University · THMinistry of Education · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are a newly discovered class of noncoding endogenous small RNAs involved in plant growth and development as well as response to environmental stresses. miRNAs have been extensively studied in various plant species, however, only few information are available in cassava, which serves as one of the staple food crops, a biofuel crop, animal feed and industrial raw materials. In this study, the 169 potential cassava miRNAs belonging to 34 miRNA families were identified by computational approach. Interestingly, mes-miR319b was represented as the first putative mirtron demonstrated in cassava. A total of 15 miRNA clusters involving 7 miRNA families, and 12 pairs of sense and antisense strand cassava miRNAs belonging to six different miRNA families were discovered. Prediction of potential miRNA target genes revealed their functions involved in various important plant biological processes. The cis-regulatory elements relevant to drought stress and plant hormone response were identified in the promoter regions of those miRNA genes. The results provided a foundation for further investigation of the functional role of known transcription factors in the regulation of cassava miRNAs. The better understandings of the complexity of miRNA-mediated genes network in cassava would unravel cassava complex biology in storage root development and in coping with environmental stresses, thus providing more insights for future exploitation in cassava improvement.

Indexed as

Gene Expression Regulation, PlantBase SequenceComputational BiologyDatabases, GeneticDroughtsGene Regulatory NetworksManihotMicroRNAsMolecular Sequence DataMultigene FamilyPromoter Regions, GeneticRNA, AntisenseRNA, PlantSoftwareStress, PhysiologicalTranscription, GeneticMicroRNAsRNA, AntisenseRNA, Plant

Identifiers

PMID22388699
OpenAlexW1968273844

What OpenQuestion holds

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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.