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In silico prediction and qPCR validation of novel sRNAs in Propionibacterium acnes KPA171202.

Authors :
Balgir, Praveen P.
Dhiman, Shobha R.
Kaur, Puneet
Source :
Journal of Genetic Engineering & Biotechnology; Jun2016, Vol. 14 Issue 1, p169-176, 8p
Publication Year :
2016

Abstract

Propionibacterium acnes is an anaerobic, Gram-positive, opportunistic pathogen known to be involved in a wide variety of diseases ranging from mild acne to prostate cancer. Bacterial small non-coding RNAs are novel regulators of gene expression and are known to be involved in, virulence, pathogenesis, stress tolerance and adaptation to environmental changes in bacteria. The present study was undertaken keeping in view the lack of predicted sRNAs of P. acnes KPA171202 in databases. This report represents the first attempt to identify sRNAs in P. acnes KPA171202. A total of eight potential candidate sRNAs were predicted using SIPHT, one was found to have a Rfam homolog and seven were novel. Out of these seven predicted sRNAs, five were validated by reverse transcriptase-polymerase chain reaction (RT-PCR) and sequencing. The expression of these sRNAs was quantified in different growth phases by qPCR (quantitative PCR). They were found to be expressed in both exponential and stationary stages of growth but with maximum expression in stationary phase which points to a regulatory role for them. Further investigation of their targets and regulatory functions is in progress. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1687157X
Volume :
14
Issue :
1
Database :
Supplemental Index
Journal :
Journal of Genetic Engineering & Biotechnology
Publication Type :
Academic Journal
Accession number :
118342606
Full Text :
https://doi.org/10.1016/j.jgeb.2016.03.002