Author(s): Nusrat Nahar, Samia Naz, Sharmeen Asad, Muhammed Mahfuzur Rahman, Tufael Ahmed, Md. Kamrul Islam, D. A. Anwar Al Aman, Nurul Islam Setu, Md. Shahidulla Kayser, Md. Shariful Islam, Md. Abdul Bari, Ridwan Bin Rashid

Email(s): nusratnahar17@gmail.com , ridwan@sub.edu.bd

DOI: 10.5958/0974-360X.2018.00402.X   

Address: Nusrat Nahar*, Samia Naz, Sharmeen Asad, Muhammed Mahfuzur Rahman, Tufael Ahmed, Md. Kamrul Islam, D. A. Anwar Al Aman, Nurul Islam Setu, Md. Shahidulla Kayser, Md. Shariful Islam, Md. Abdul Bari, Ridwan Bin Rashid*
Computational Chemistry and Bioinformatics Laboratory, Department of Pharmacy, State University of Bangladesh, Dhaka- 1205, Bangladesh
*Corresponding Author

Published In:   Volume - 11,      Issue - 6,     Year - 2018


ABSTRACT:
A total of forty-three Listeria species were screened for virulence and antibiotic resistance genes through in silico tools. In silico polymerase chain reaction (PCR) detected both virulence and antibiotic resistance genes. The hlyA gene, responsible for hemolysis in red blood cell, was detected in 76.4% (n=33) of the isolates and thirty-eight isolates harboured plcA genes. These two (hlyA and plcA) genes are required for destruction of phagosome. Internalin genes, inlA (37.21%) and inlB (81.39%) were responsible for adherence and internalization of Listeria species. About 76.4% (n=33) isolates had the prfA gene that regulate internalins expression. Thirty-one isolates (72.09%) expressed the actA gene while only four isolates (9.30%) had the invasion associated gene, iap. The daptomycin resistance gene, mpr was the most prevalent (81.39%) followed by parC (72.09%), gyrB (48.83%), gyrA (39.53%) and parE (30.23%) genes. Genotype 1 harboured most of the virulence genes while genotype 2 expressed mainly antibiotic resistance genes. This data helps to predict the virulence genes associated with listeriosis infections. This data also provides information to choose effective antibiotic against listeriosis infections.


Cite this article:
Nusrat Nahar, Samia Naz, Sharmeen Asad, Muhammed Mahfuzur Rahman, Tufael Ahmed, Md. Kamrul Islam, D. A. Anwar Al Aman, Nurul Islam Setu, Md. Shahidulla Kayser, Md. Shariful Islam, Md. Abdul Bari, Ridwan Bin Rashid. Analysis of the Genotypic Distribution of Virulence and Antibiotic Resistance Biomarkers of Listeria Species in-silico. Research J. Pharm. and Tech 2018; 11(6): 2173-2179. doi: 10.5958/0974-360X.2018.00402.X

Cite(Electronic):
Nusrat Nahar, Samia Naz, Sharmeen Asad, Muhammed Mahfuzur Rahman, Tufael Ahmed, Md. Kamrul Islam, D. A. Anwar Al Aman, Nurul Islam Setu, Md. Shahidulla Kayser, Md. Shariful Islam, Md. Abdul Bari, Ridwan Bin Rashid. Analysis of the Genotypic Distribution of Virulence and Antibiotic Resistance Biomarkers of Listeria Species in-silico. Research J. Pharm. and Tech 2018; 11(6): 2173-2179. doi: 10.5958/0974-360X.2018.00402.X   Available on: https://rjptonline.org/AbstractView.aspx?PID=2018-11-6-3


Recomonded Articles:

Research Journal of Pharmacy and Technology (RJPT) is an international, peer-reviewed, multidisciplinary journal.... Read more >>>

RNI: CHHENG00387/33/1/2008-TC                     
DOI: 10.5958/0974-360X 

0.38
2018CiteScore
 
56th percentile
Powered by  Scopus


SCImago Journal & Country Rank


Recent Articles




Tags


Not Available