Evidence map›Paper›PMID 33057204›Full record

ArticleScientific reports2020

Genome wide in-silico miRNA and target network prediction from stress responsive Horsegram (Macrotyloma uniflorum) accessions.

Jeshima Khan Yasin, Bharat Kumar Mishra, M Arumugam Pillai, Nidhi Verma, Shabir H Wani, Hosam O Elansary, Diaa O El-Ansary, P S Pandey, Viswanathan Chinnusamy

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In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Frontiers in genetics · 2022
    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

9 authors.

Jeshima Khan YasinDivision of Genomic Resources, ICAR-National Bureau Plant Genetic Resources, PUSA Campus, New Delhi, 110012, India. Yasin.Jeshima@icar.gov.in.
Bharat Kumar MishraDivision of Genomic Resources, ICAR-National Bureau Plant Genetic Resources, PUSA Campus, New Delhi, 110012, India.
M Arumugam PillaiDepartment of Plant Breeding and Genetics, Agricultural College and Research Institute, Tamil Nadu Agricultural University, Killikulam, Vallanadu, Tamil Nadu, 628252, India.
Nidhi VermaPrincipal Scientist (Education Planning and Home Science), Agricultural Education Division Krishi Anusandhan Bhawan I, Indian Council of Agricultural Research, PUSA Campus, New Delhi, 110 012, India.
Shabir H WaniMountain Research Centre For Field Crops, Khudwani Anantnag-192101, Sher-E-KashmiR University of Agricultural Sciences and Technology of Kashmir, Badgam, J&K, India.
Hosam O ElansaryPlant Production Department, College of Food and Agricultural Sciences, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia.
Diaa O El-AnsaryPrecision Agriculture Laboratory, Department of Pomology, Faculty of Agriculture (El-Shatby), Alexandria University, Alexandria, Egypt.
P S PandeyIndian Council of Agricultural Research (ICAR), PUSA, New Delhi, 110 012, India.
Viswanathan ChinnusamyDivision of Plant Physiology, Indian Agricultural Research Institute, New Delhi, 110012, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Horsegram (Macrotyloma uniflorum (Lam.) Verdc.) is a drought hardy food and fodder legume of Indo-African continents with diverse germplasm sources demonstrating alternating mechanisms depicting contrasting adaptations to different climatic zones. Tissue specific expression of genes contributes substantially to location specific adaptations. Regulatory networks of such adaptive genes are elucidated for downstream translational research. MicroRNAs are small endogenous regulatory RNAs which alters the gene expression profiles at a particular time and type of tissue. Identification of such small regulatory RNAs in low moisture stress hardy crops can help in cross species transfer and validation confirming stress tolerance ability. This study outlined prediction of conserved miRNAs from transcriptome shotgun assembled sequences and EST sequences of horsegram. We could validate eight out of 15 of the identified miRNAs to demonstrate their role in deficit moisture stress tolerance mechanism of horsegram variety Paiyur1 with their target networks. The putative mumiRs were related to other food legumes indicating the presence of gene regulatory networks. Differential miRNA expression among drought specific tissues indicted the probable energy conservation mechanism. Targets were identified for functional characterization and regulatory network was constructed to find out the probable pathways of post-transcriptional regulation. The functional network revealed mechanism of biotic and abiotic stress tolerance, energy conservation and photoperiod responsiveness.

Indexed as

AcclimatizationAdaptation, PhysiologicalDroughtsFabaceaeGene Expression Regulation, PlantGene Regulatory NetworksGenome-Wide Association StudyMicroRNAsPlant ProteinsRNA Processing, Post-TranscriptionalStress, PhysiologicalTranscriptomeMicroRNAsPlant Proteins

Identifiers

PMID33057204
PMCPMC7560861

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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.