11 / 16
Page 45
Notes:
Journal of Community Medicine & Health Education | ISSN: 2161-0711 | Volume 8
&
Medical Sociology & Public Health
3
rd
World Congress on
Public health and Epidemic diseases
International Conference on
September 21-22, 2018 | Dallas, USA
Whole genome analysis of
Mycobacterium tuberculosis
DR, MDR, XDR and XXDR isolates to find
signature mutation pattern in drug resistance
Vidya Niranjan
and
Akshatha Prasanna
RV College of Engineering, India
T
he emergence of resistance to various antibiotics has become a major threat for combating infectious diseases resulting
in persistent infection and increased mortality. Whole genome sequencing is a promising tool for finding mutations
causing resistance and to distinguish the resistant strains.
, a global threat and the recent breakout
in Multi-drug resistance strain (MDR-TB) and Extensively Drug resistance (XDR-TB) has challenged researchers in the
diagnosis and to provide effective treatment. The study focuses on the analysis of whole genome high-throughput data of
Mycobacterium tuberculosis
over a time period of 1999-2017 including drug-resistant strain, multi-drug resistant strain and
the extensively drug-resistant strain from different geographical locations collected from NCBI-SRA. An effective pipeline
is developed to analyze and interpret mutations causing antibiotic resistance using bioinformatics and NGS approach. The
analysis provides discovery of genetic changes, drug-resistant genes, mutated amino acid and its position in the chromosome.
We have characterized 10 DR-TB, 30 MDR-TB, 10 XDR-TB, 5 Pre-XDR-TB and 15 XXDR-TB based on the mutation pattern
of resistance. Results provide a determination of anti-tuberculosis drug resistance and identification of resistance strain based
on the identified SNP biomarkers.
Biography
Vidya Niranjan received her BSc degree in Chemistry and MSc degree in Biophysics from the University of Madras, Chennai. She obtained her PhD in bioinformatics
from Kuvempu University, Shivamogga in the year 2009. She was associated with Indian Institute of Science (IISC), Bengaluru, India from 2010-2011 where she
received her Post-Doctoral Fellowship for her work in Computational Biology. She has 10 years of industry experience and 15 years of core teaching experience.
She is currently employed at R.V College of Engineering, Bengaluru, India as a Professor and Associate Dean in the Department of Biotechnology.
vidya.n@rvce.edu.inVidya Niranjan et al., J Community Med Health Educ 2018, Volume 8
DOI: 10.4172/2161-0711-C4-041