Literature DB >> 30539050

Viruses and long non-coding RNAs: implicating an evolutionary conserved region.

Alireza Mohebbi1,2, Alireza Tahamtan2, Samira Eskandarian1, Fatemeh Sana Askari1, Mahnaz Shafaei1, Nazanin Lorestani1.   

Abstract

Long non-coding RNAs (lncRNAs) are a class of cellular transcripts, which are involved in various biological processes. There is conflicting data regarding to the origin of these non-coding molecules and lncRNAs are thought to be the origin of viral genome. Here we sought to find the homology between human lncRNAs and viruses. For this purpose, the lncRNAdb database was searched for human lncRNAs. The lncRNAs' sequences were aligned with virus taxa using NCBI's BLAST tool. The phylogenic study was performed with maximum-likelihood based algorithm. The database contains 152 human lncRNAs. As a result, 63 (41.44%) of the lncRNAs have homologies with viruses. Of which, 50 (79.36%) have homology with Stealth virus. Other viruses with homology to lncRNAs were nuclear integrating DNA/RNA viruses. Moreover, 35 of 64 (23.03%) of cancer-associated lncRNAs have sequence homology with the same viruses. In phylogenetic analyses, lncRNAs with no homology to viruses were found to be the ancestor of those with homology to viruses and cancer-irrelevant lncRNAs were found to be the ancestor of cancer-related transcripts. In conclusion, lncRNAs could be the origin of nuclear integrating viruses and the nuclear integrating viruses may evolved from the non-coding regions. The results imply the role of lncRNAs with homology to viruses in human cancers.

Entities:  

Keywords:  Homology; Non-coding transcripts; Stealth virus; Viruses; lncRNAs

Year:  2018        PMID: 30539050      PMCID: PMC6261887          DOI: 10.1007/s13337-018-0486-9

Source DB:  PubMed          Journal:  Virusdisease        ISSN: 2347-3584


  26 in total

1.  Common origin of four diverse families of large eukaryotic DNA viruses.

Authors:  L M Iyer; L Aravind; E V Koonin
Journal:  J Virol       Date:  2001-12       Impact factor: 5.103

2.  LocARNA-P: accurate boundary prediction and improved detection of structural RNAs.

Authors:  Sebastian Will; Tejal Joshi; Ivo L Hofacker; Peter F Stadler; Rolf Backofen
Journal:  RNA       Date:  2012-03-26       Impact factor: 4.942

3.  Detection of RNA sequences in cultures of a stealth virus isolated from the cerebrospinal fluid of a health care worker with chronic fatigue syndrome. Case report.

Authors:  W J Martin
Journal:  Pathobiology       Date:  1997       Impact factor: 4.342

Review 4.  The origin of viruses and their possible roles in major evolutionary transitions.

Authors:  Patrick Forterre
Journal:  Virus Res       Date:  2006-02-14       Impact factor: 3.303

5.  MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods.

Authors:  Koichiro Tamura; Daniel Peterson; Nicholas Peterson; Glen Stecher; Masatoshi Nei; Sudhir Kumar
Journal:  Mol Biol Evol       Date:  2011-05-04       Impact factor: 16.240

Review 6.  Molecular mechanisms of long noncoding RNAs.

Authors:  Kevin C Wang; Howard Y Chang
Journal:  Mol Cell       Date:  2011-09-16       Impact factor: 17.970

7.  Stealth virus isolated from an autistic child.

Authors:  W J Martin
Journal:  J Autism Dev Disord       Date:  1995-04

8.  Inferring noncoding RNA families and classes by means of genome-scale structure-based clustering.

Authors:  Sebastian Will; Kristin Reiche; Ivo L Hofacker; Peter F Stadler; Rolf Backofen
Journal:  PLoS Comput Biol       Date:  2007-02-22       Impact factor: 4.475

9.  lncRNAdb v2.0: expanding the reference database for functional long noncoding RNAs.

Authors:  Xiu Cheng Quek; Daniel W Thomson; Jesper L V Maag; Nenad Bartonicek; Bethany Signal; Michael B Clark; Brian S Gloss; Marcel E Dinger
Journal:  Nucleic Acids Res       Date:  2014-10-20       Impact factor: 16.971

Review 10.  On the classification of long non-coding RNAs.

Authors:  Lina Ma; Vladimir B Bajic; Zhang Zhang
Journal:  RNA Biol       Date:  2013-04-15       Impact factor: 4.652

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