Evidence map›Paper›PMID 29657290›Full record

ArticleNon-coding RNA2017

Deciphering microRNAs and Their Associated Hairpin Precursors in a Non-Model Plant, Abelmoschus esculentus.

Kavitha Velayudha Vimala Kumar, Nagesh Srikakulam, Priyavathi Padbhanabhan, Gopal Pandi

Abstract read
In one paragraph

Article in Non-coding RNA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Identification of MicroRNAs inBioMed research international · 2021
    Article
  8. Circular RNAs-The Road Less Traveled.Frontiers in molecular biosciences · 2019
    Review
  9. Article
  10. Article
  11. Plant Responses to Pathogen Attack: Small RNAs in Focus.International journal of molecular sciences · 2018
    Review
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

4 authors.

Kavitha Velayudha Vimala KumarDepartment of Plant Biotechnology, School of Biotechnology, Madurai Kamaraj University, Madurai 625021,Tamil Nadu, India. kavithabt28@gmail.com.
Nagesh SrikakulamDepartment of Plant Biotechnology, School of Biotechnology, Madurai Kamaraj University, Madurai 625021,Tamil Nadu, India. bioinagesh@gmail.com.
Priyavathi PadbhanabhanDepartment of Plant Biotechnology, School of Biotechnology, Madurai Kamaraj University, Madurai 625021,Tamil Nadu, India. priyapadbhanabhan@gmail.com.
Gopal PandiDepartment of Plant Biotechnology, School of Biotechnology, Madurai Kamaraj University, Madurai 625021,Tamil Nadu, India. pgopal.biotech@mkuniversity.org.ORCID 0000-0002-2186-2473

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are crucial regulatory RNAs, originated from hairpin precursors. For the past decade, researchers have been focusing extensively on miRNA profiles in various plants. However, there have been few studies on the global profiling of precursor miRNAs (pre-miRNAs), even in model plants. Here, for the first time in a non-model plant-Abelmoschus esculentus with negligible genome information-we are reporting the global profiling to characterize the miRNAs and their associated pre-miRNAs by applying a next generation sequencing approach. Preliminarily, we performed small RNA (sRNA) sequencing with five biological replicates of leaf samples to attain 207,285,863 reads; data analysis using miRPlant revealed 128 known and 845 novel miRNA candidates. With the objective of seizing their associated hairpin precursors, we accomplished pre-miRNA sequencing to attain 83,269,844 reads. The paired end reads are merged and adaptor trimmed, and the resulting 40-241 nt (nucleotide) sequences were picked out for analysis by using perl scripts from the miRGrep tool and an in-house built shell script for Minimum Fold Energy Index (MFEI) calculation. Applying the stringent criteria of the Dicer cleavage pattern and the perfect stem loop structure, precursors for 57 known miRNAs of 15 families and 18 novel miRNAs were revealed. Quantitative Real Time (qRT) PCR was performed to determine the expression of selected miRNAs.

Indexed as

Abelmoschus esculentusmiRNAsnext generation sequencingnon-model plantpre-miRNAs sequencing

Identifiers

PMID29657290
PMCPMC5831935

What OpenQuestion holds

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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.