Evidence map›Paper›PMID 36550370›Full record

ArticleFunctional & integrative genomics2022

Leaf rust responsive miRNA and their target genes in wheat.

Neelu Jain, Aalok Shiv, Nivedita Sinha, Harikrishna, P K Singh, Pramod Prasad, H S Balyan, P K Gupta

Abstract read
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In one paragraph

Article in Functional & integrative genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

5 citing papers in PubMed, 16 citations in OpenAlex.

  1. Functional divergence of LncRNAs in wheat-fungal interactions: insights from stem rust-responsive wheat transcriptomes.Physiology and molecular biology of plants : an international journal of functional plant biology · 2025
    Article
  2. Article
  3. Article
  4. Tae-miR397 Negatively Regulates Wheat Resistance toPlants (Basel, Switzerland) · 2023
    Article
  5. Candidate effectors for leaf rust resistance geneFrontiers in microbiology · 2023
    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

8 authors at 3 institutions in 1 country.

Neelu Jain *Division of Genetics, ICAR-Indian Agricultural Research Institute (IARI), New Delhi, 110012, India.
Aalok Shiv *Division of Genetics, ICAR-Indian Agricultural Research Institute (IARI), New Delhi, 110012, India.
Nivedita SinhaDivision of Genetics, ICAR-Indian Agricultural Research Institute (IARI), New Delhi, 110012, India.
HarikrishnaDivision of Genetics, ICAR-Indian Agricultural Research Institute (IARI), New Delhi, 110012, India.
P K SinghDivision of Genetics, ICAR-Indian Agricultural Research Institute (IARI), New Delhi, 110012, India.
Pramod PrasadRegional Station, ICAR-Indian Institute of Wheat and Barley Research, Flowerdale, Shimla, 171002, India.
H S BalyanDepartment of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, 250004, India.
P K GuptaDepartment of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, 250004, India. pkgupta36@gmail.com.
Indian Agricultural Research Institute · INChaudhary Charan Singh University · INIndian Institute of Wheat and Barley Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small RNA sequencing (sRNA-seq) and degradome analysis were used for the identification of miRNAs and their target host genes in a pair of near-isogenic lines (NILs), which differed for the presence of leaf rust resistance gene Lr28. The study led to identification of (i) 506 known and 346 novel miRNAs; and (ii) 5054 target genes including 4557 in silico predicted and 497 degradome-based genes using 105 differentially expressed (DE) miRNAs. A subset of 128 targets (67 in silico + 61 degradome-based) was differentially expressed in RNA-seq data that was generated by us earlier using the same pair of NILs; among these 128 targets, 58 target genes exhibited an inverse relationship with the DE miRNAs (expression of miRNAs and activation/suppression of target genes). Eight miRNAs which belonged to the conserved miRNA families and were known to be induced in response to fungal diseases in plants included the following: miR156, miR158, miR159, miR168, miR169, miR172, miR319, miR396. The target genes belonged to the following classes of genes known to be involved in downstream disease resistance pathways; peroxidases, sugar transporters, auxin response signaling, oxidation-reduction, etc. It was also noticed that although a majority of miRNAs and target genes followed the above classical inverse relationship, there were also examples, where no such relationship was observed. Among the target genes, there were also 51 genes that were not only regulated by miRNAs, but were also differentially methylated at sequences including the following segments: promotors, introns, TSS, exons. The results of the present study suggest a complex interplay among miRNA genes, target genes, and various epigenetic controls, which regulate the expression of genes involved in downstream pathways for disease resistance.

Indexed as

MicroRNAsDisease ResistanceGene Expression Regulation, PlantHumansPlant DiseasesPlants, Genetically ModifiedRNA, PlantTriticumMicroRNAsRNA, PlantDisease resistanceLeaf rustMicroRNAWheat

Identifiers

PMID36550370
OpenAlexW4312193939

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.