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

J Genet Eng Biotechnol

Department of Biotechnology, Punjabi University, Patiala, Punjab 147 002, India.

Published: June 2016

AI Article Synopsis

Article Abstract

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 KPA171202 in databases. This report represents the first attempt to identify sRNAs in 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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6299900PMC
http://dx.doi.org/10.1016/j.jgeb.2016.03.002DOI Listing

Publication Analysis

Top Keywords

srnas kpa171202
12
predicted srnas
8
srnas
6
silico prediction
4
prediction qpcr
4
qpcr validation
4
validation novel
4
novel srnas
4
kpa171202 anaerobic
4
anaerobic gram-positive
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!