Evidence map›Paper›PMID 33051410›Full record

ArticleJournal of biosciences2020

MicroRNAs as potential targets for improving rice yield via plant architecture modulation: Recent studies and future perspectives.

Ranjeet Kaur, Rupam Kumar Bhunia, Manchikatla Venkat Rajam

Abstract read
PubMed
In one paragraph

Article in Journal of biosciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. RNA silencing: the future potential strategy for engineering virus resistance in plants.Physiology and molecular biology of plants : an international journal of functional plant biology · 2025
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  9. RNA interference and crop protection against biotic stresses.Physiology and molecular biology of plants : an international journal of functional plant biology · 2021
    Review
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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

3 authors at 2 institutions in 1 country.

Ranjeet KaurDepartment of Genetics, University of Delhi South Campus, Benito Juarez Road, New Delhi 110 026, India.
Rupam Kumar Bhunia
Manchikatla Venkat Rajam
University of Delhi · INNational Agri-Food Biotechnology Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ensuring agricultural food security is a major concern for the future world, and being the second most consumed crop, rice yield needs an urgent upliftment. Grain yield is a pleiotropic trait that employs a plethora of genes functioning in complex signalling cascades. The yield related genes are controlled by various regulatory factors including the microRNAs (miRNAs), the small 20-22 nucleotide (nt) non-coding RNAs, which have emerged as the master ribo-regulators of eukaryotic genes. Plant miRNAs can bind to highly complementary sequences in the target messenger RNAs (mRNAs) and negatively regulate gene expression to coordinate the various biological processes involved in plant development. In rice, an ideal plant architecture (IPA) has been regarded as the key to attain high yield and several miRNAs have been deciphered to play important roles in orchestrating vital regulatory procedures for achieving optimum plant morphological yield related traits like less unproductive tillers, more panicle branches and heavier grains. In this review, we present and discuss the various genetic engineering strategies undertaken to manipulate the miRNA-mRNA expression levels in order to achieve improved grain output by modulation of rice plant architecture and recent advances made in this regard.

Indexed as

Crop ProductionEdible GrainGene Expression Regulation, PlantMicroRNAsOryzaPlant DevelopmentQuantitative Trait LociMicroRNAs

Identifiers

PMID33051410
OpenAlexW3089142945

What OpenQuestion holds

Textmetadata
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.