Evidence map›Paper›PMID 25903161›Full record

ArticleBMC genomics2015

An integrative approach to identify hexaploid wheat miRNAome associated with development and tolerance to abiotic stress.

Zahra Agharbaoui, Mickael Leclercq, Mohamed Amine Remita, Mohamed A Badawi, Etienne Lord, Mario Houde, Jean Danyluk, Abdoulaye Baniré Diallo, Fathey Sarhan

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
6.2field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Polyploidization: A Biological Force That Enhances Stress Resistance.International journal of molecular sciences · 2024
    Review
  3. Article
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  12. Long noncoding miRNA gene represses wheat β-diketone waxes.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  13. 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

9 authors at 1 institution in 1 country.

Zahra AgharbaouiDepartment of Biological Sciences, University of Quebec in Montreal, Montreal, Canada. agharbaoui.zahra@uqam.ca.
Mickael LeclercqDepartment of Computer Sciences, University of Quebec in Montreal, Montreal, Canada. mickael.leclercq@mail.mcgill.ca.
Mohamed Amine RemitaDepartment of Computer Sciences, University of Quebec in Montreal, Montreal, Canada. remita.mohamed_amine@courrier.uqam.ca.
Mohamed A BadawiDepartment of Biological Sciences, University of Quebec in Montreal, Montreal, Canada. badawi.mohamed@courrier.uqam.ca.
Etienne LordDepartment of Computer Sciences, University of Quebec in Montreal, Montreal, Canada. lord.etienne@courrier.uqam.ca.
Mario HoudeDepartment of Biological Sciences, University of Quebec in Montreal, Montreal, Canada. houde.mario@uqam.ca.
Jean DanylukDepartment of Biological Sciences, University of Quebec in Montreal, Montreal, Canada. danyluk.jean@uqam.ca.
Abdoulaye Baniré DialloDepartment of Computer Sciences, University of Quebec in Montreal, Montreal, Canada. diallo.abdoulaye@uqam.ca.
Fathey SarhanDepartment of Biological Sciences, University of Quebec in Montreal, Montreal, Canada. sarhan.fathey@uqam.ca.
Université du Québec à Montréal · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWheat is a major staple crop with broad adaptability to a wide range of environmental conditions. This adaptability involves several stress and developmentally responsive genes, in which microRNAs (miRNAs) have emerged as important regulatory factors. However, the currently used approaches to identify miRNAs in this polyploid complex system focus on conserved and highly expressed miRNAs avoiding regularly those that are often lineage-specific, condition-specific, or appeared recently in evolution. In addition, many environmental and biological factors affecting miRNA expression were not yet considered, resulting still in an incomplete repertoire of wheat miRNAs.

resultsWe developed a conservation-independent technique based on an integrative approach that combines machine learning, bioinformatic tools, biological insights of known miRNA expression profiles and universal criteria of plant miRNAs to identify miRNAs with more confidence. The developed pipeline can potentially identify novel wheat miRNAs that share features common to several species or that are species specific or clade specific. It allowed the discovery of 199 miRNA candidates associated with different abiotic stresses and development stages. We also highlight from the raw data 267 miRNAs conserved with 43 miRBase families. The predicted miRNAs are highly associated with abiotic stress responses, tolerance and development. GO enrichment analysis showed that they may play biological and physiological roles associated with cold, salt and aluminum (Al) through auxin signaling pathways, regulation of gene expression, ubiquitination, transport, carbohydrates, gibberellins, lipid, glutathione and secondary metabolism, photosynthesis, as well as floral transition and flowering.

conclusionThis approach provides a broad repertoire of hexaploid wheat miRNAs associated with abiotic stress responses, tolerance and development. These valuable resources of expressed wheat miRNAs will help in elucidating the regulatory mechanisms involved in freezing and Al responses and tolerance mechanisms as well as for development and flowering. In the long term, it may help in breeding stress tolerant plants.

Indexed as

Computational BiologyGene Expression ProfilingGene Expression Regulation, PlantMachine LearningMicroRNAsPolyploidyRNA, PlantSpecies SpecificityStress, PhysiologicalTriticumMicroRNAsRNA, Plant

Identifiers

PMID25903161
PMCPMC4443513
OpenAlexW2090690888

What OpenQuestion holds

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LicenceCC BY
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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.