Open AccessDetection of 11 Multidrug Resistance Genes among the Strains of A. Baumannii by Computational Approach
Author(s) -
Z. Mohamed Noufal,
A. S. Smiline Girija,
P. Sankar Ganesh,
J. Vijayashree Priyadharshini
Publication year - 2021
Publication title -
journal of pharmaceutical research international
Language(s) - English
Resource type - Journals
ISSN - 2456-9119
DOI - 10.9734/jpri/2021/v33i60b35076
Subject(s) - acinetobacter baumannii , in silico , biology , multiple drug resistance , virulence , gene , amplicon , drug resistance , microbiology and biotechnology , pathogen , genetics , computational biology , polymerase chain reaction , bacteria , pseudomonas aeruginosa
Background: Acinetobacter baumannii is typically short, rod shaped gram negative bacterium. The World Health Organisation has declared it as an opportunistic pathogen in humans. Multi drug resistance involves different genetic determinants making the pathogen difficult to treat. So this study is undertaken to characterize the 11 different drug resistant genes from 19 virulent strains of A. baumannii using in-silico PCR.
Aim: Detect the 11 multidrug resistance genes among strains of A. baumannii by computational approach.
Materials & Methods: 11 multidrug resistance genes of A. baumannii were selected. Forward and reverse primers of the 11 genes as reported from earlier studies were used for in-silico PCR amplification. 19 strains of A .baumannii set as default strains on the server were chosen and the amplicon bands were observed.
Result: Among the 11 multidrug resistance genes only blaOXA-51like and blaADC were detected among the 19 virulent strains of A. bauamannii.
Conclusion: The findings of the study documents the frequency of blaADC and blaOXA-51 like from the selected strains of A. baumannii. However further experimental validation must be done towards the periodical surveillance on the drug resistant strains of A. baumannii in hospital settings.