Evidence map›Paper›PMID 27628568›Full record

ArticleScientific reports2016

Genome-wide analysis of long intergenic non-coding RNAs in chickpea and their potential role in flower development.

Niraj Khemka, Vikash Kumar Singh, Rohini Garg, Mukesh Jain

Abstract read
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Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

37 citing papers in PubMed.

  1. Article
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  3. Review
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  5. Analysis of lncRNAs inNon-coding RNA · 2023
    Article
  6. Genome-wide identification and characterization ofFrontiers in plant science · 2023
    Article
  7. Article
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  10. Article
  11. Genome-wide identification and functional prediction of salt- stress related long non-coding RNAs (lncRNAs) in chickpea (Physiology and molecular biology of plants : an international journal of functional plant biology · 2021
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Niraj KhemkaSchool of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi-110067, India.
Vikash Kumar SinghNational Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi-110067, India.
Rohini GargNational Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi-110067, India.
Mukesh JainSchool of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi-110067, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-coding RNAs constitute a major portion of the transcriptome in most of eukaryotes. Long non-coding transcripts originating from the DNA segment present between the protein coding genes are termed as long intergenic non-coding RNAs (lincRNAs). Several evidences suggest the role of lincRNAs in regulation of various biological processes. In this study, we identified a total of 2248 lincRNAs in chickpea using RNA-seq data from eight successive stages of flower development and three vegetative tissues via an optimized pipeline. Different characteristic features of lincRNAs were studied and compared with those of predicted mRNAs in chickpea. Further, we utilized a method using network propagation algorithm to reveal the putative function of lincRNAs in plants. In total, at least 79% of the identified chickpea lincRNAs were assigned with a putative function. A comprehensive expression profiling revealed differential expression patterns and tissue specificity of lincRNAs in different stages of flower development in chickpea. In addition, potential lincRNAs-miRNA interactions were explored for the predicted lincRNAs in chickpea. These findings will pave the way for understanding the role of lincRNAs in the regulatory mechanism underlying flower development in chickpea and other legumes.

Indexed as

CicerComputational BiologyFlowersGene Expression ProfilingGenome, PlantRNA, Long NoncodingSequence Analysis, RNATranscriptomeRNA, Long Noncoding

Identifiers

PMID27628568
PMCPMC5024101

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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.