Literature DB >> 34677783

Identification of putative microRNAs in the complete genome of Mycobacterium avium and their possible interaction with human transcripts.

Durbba Nath1, Supriyo Chakraborty2.   

Abstract

The grievous adversity regarding Mycobacterium avium is its ubiquitous nature. Isolation of the bacteria from drinking water, house dust, and soil, etc., is an alarming issue for the scientific community. The microRNAs are the molecular influencers of gene expression that act during the process of post transcription. A few reports claimed the existence of microRNAs or microRNA-like molecules in the prokaryotic species. Biogenesis of bacterial miRNAs requires their transport into the host cell. Subsequently, the host-encoded enzymes are exerted for the formation of bacterial mature miRNAs and their regulation. In our study, the screening of complete genome of Mycobacterium avium revealed six putative precursor microRNA sequences bearing typical secondary structures. The mature microRNAs were predicted in both arms of the secondary structures. A total of 12 possible mature microRNAs were identified in this study. The likely targets of the predicted mature miRNAs were searched in human 3' UTR. In the human transcriptome, 193 genes were possibly targeted by 12 mature miRNAs of Mycobacterium avium. The essential functionalities of the target genes included signal transduction, immune system, DNA binding, and response to stress.
© 2021. The Author(s), under exclusive licence to Institute of Plant Genetics Polish Academy of Sciences.

Entities:  

Keywords:  Functional annotation; MicroRNAs; Mycobacterium avium; Pathway analysis; Secondary structures; Target prediction

Mesh:

Substances:

Year:  2021        PMID: 34677783     DOI: 10.1007/s13353-021-00666-9

Source DB:  PubMed          Journal:  J Appl Genet        ISSN: 1234-1983            Impact factor:   3.240


  8 in total

Review 1.  Mycobacterium avium: an overview.

Authors:  Caroline Busatto; Júlia Silveira Vianna; Lande Vieira da Silva; Ivy Bastos Ramis; Pedro Eduardo Almeida da Silva
Journal:  Tuberculosis (Edinb)       Date:  2019-01-04       Impact factor: 3.131

2.  MatureBayes: a probabilistic algorithm for identifying the mature miRNA within novel precursors.

Authors:  Katerina Gkirtzou; Ioannis Tsamardinos; Panagiotis Tsakalides; Panayiota Poirazi
Journal:  PLoS One       Date:  2010-08-06       Impact factor: 3.240

Review 3.  Nontuberculous mycobacterial pulmonary infections.

Authors:  Margaret M Johnson; John A Odell
Journal:  J Thorac Dis       Date:  2014-03       Impact factor: 2.895

4.  Search for microRNAs expressed by intracellular bacterial pathogens in infected mammalian cells.

Authors:  Yuki Furuse; Ryan Finethy; Hector A Saka; Ana M Xet-Mull; Dana M Sisk; Kristen L Jurcic Smith; Sunhee Lee; Jörn Coers; Raphael H Valdivia; David M Tobin; Bryan R Cullen
Journal:  PLoS One       Date:  2014-09-03       Impact factor: 3.240

5.  Prediction of functional microRNA targets by integrative modeling of microRNA binding and target expression data.

Authors:  Weijun Liu; Xiaowei Wang
Journal:  Genome Biol       Date:  2019-01-22       Impact factor: 13.583

6.  Computational prediction of microRNAs in marine bacteria of the genus Thalassospira.

Authors:  Thi Hoang Yen Dang; Sonika Tyagi; Glenn D'Cunha; Mrinal Bhave; Russell Crawford; Elena P Ivanova
Journal:  PLoS One       Date:  2019-03-12       Impact factor: 3.240

7.  High-throughput functional annotation and data mining with the Blast2GO suite.

Authors:  Stefan Götz; Juan Miguel García-Gómez; Javier Terol; Tim D Williams; Shivashankar H Nagaraj; María José Nueda; Montserrat Robles; Manuel Talón; Joaquín Dopazo; Ana Conesa
Journal:  Nucleic Acids Res       Date:  2008-04-29       Impact factor: 16.971

Review 8.  Small RNAs in mycobacteria: an unfolding story.

Authors:  Katie Haning; Seung Hee Cho; Lydia M Contreras
Journal:  Front Cell Infect Microbiol       Date:  2014-07-24       Impact factor: 5.293

  8 in total

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