Evidence map›Paper›PMID 34843103›Full record

ReviewBiologia futura2022

Biologia Futura: progress and future perspectives of long non-coding RNAs in forest trees.

Maheswari Patturaj, Aiswarya Munusamy, Nithishkumar Kannan, Yasodha Ramasamy

Abstract readReview
PubMed Publisher
In one paragraph

Review in Biologia futura, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

4 authors.

Maheswari PatturajDivision of Plant Biotechnology and Cytogenetics, Institute of Forest Genetics and Tree Breeding, R.S. Puram, Coimbatore, 641002, India.
Aiswarya MunusamyDivision of Plant Biotechnology and Cytogenetics, Institute of Forest Genetics and Tree Breeding, R.S. Puram, Coimbatore, 641002, India.
Nithishkumar KannanDivision of Plant Biotechnology and Cytogenetics, Institute of Forest Genetics and Tree Breeding, R.S. Puram, Coimbatore, 641002, India.
Yasodha RamasamyDivision of Plant Biotechnology and Cytogenetics, Institute of Forest Genetics and Tree Breeding, R.S. Puram, Coimbatore, 641002, India. yasodhaifgtb@gmail.com.ORCID http://orcid.org/0000-0001-9992-9992

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Forest trees are affected by climate change, anthropogenic pressure, as well as abiotic and biotic stresses. Conventional tree breeding has so far been limited to enhance overall productivity, and our understanding of the genetic basis of quantitative traits is still inadequate. Quantum leaps in next-generation sequencing technologies and bioinformatics have permitted the exploration and identification of various non-coding regions of the genome other than protein coding genes. These genomic regions produce various types of non-coding RNAs and regulate myriads of biological functions at epigenetic, transcriptional and translational levels. Recently, long non-coding RNAs (lncRNAs) which act as molecular switch have been identified to be pivotal molecules in forest trees. This review focuses on progress made in regulatory mechanisms in various developmental phases like wood formation, adventitious rooting and flowering and stress responses. It was predicted that complex regulatory interactions among lncRNA, miRNA and gene exist. LncRNAs can function as a sponge for miRNAs, reducing the suppressive effect of miRNAs on target mRNAs and perhaps adding a new layer of regulatory interactions among non-coding RNA classes in trees. Furthermore, network analysis revealed the interactions of lncRNA and genes during the expression of several important genes. The insights generated about lncRNAs in forest trees would enable improvement of economically important traits including the devastating abiotic and biotic stresses. In addition, solid understanding on the wide range of regulatory functions of lncRNAs on traits influencing biomass productivity and adaptation would aid the applications of biotechnology in genetic improvement of forest trees.

Indexed as

MicroRNAsRNA, Long NoncodingForestsPlant BreedingTreesMicroRNAsRNA, Long NoncodingAdaptationClimate changeForest treesGene regulationLong non-coding RNAs

Identifiers

PMID34843103

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.