Characterisation of M. tuberculosis isolates obtained from Tamil Nadu prevalence survey by whole genome sequencing analysis

Recent advances in whole genome sequencing have facilitated the understanding of drug resistance patterns and lineage distribution of M. tuberculosis worldwide. In this study, we aimed to determine the genetic diversity of MTB isolates from presumptive pulmonary TB patients obtained from a state prevalence survey. A total of 124 isolates were available for further characterisation, out of which 71 (57.2 %) and 47 (37.9 %) were subjected to sequencing and phenotypic DST, respectively. The phenotypic resistance profile revealed 3 isolates with multidrug resistance and 3 with mono-INH resistance. Out of 71 isolates, sequencing data were available for 61 (85.9 %), where the lineage distribution and drug resistance profile were analysed in comparison with phenotypic DST results. All the mutations were significant, accounting for one or the other resistance pattern. The concordance between pDST and gDST for the drugs was above 90 % except for ETH (77 %) and INH (87 %). The phylogenetic analysis of the lineage distribution revealed three clusters with MDR isolates belonging to lineage 1 and lineage 3. While lineage 2 is more frequently associated with MDR distribution both in India and worldwide, we did not find any lineage 2 MDR-TB isolates in our study. The use of WGS analysis improved our understanding of the genetic characteristics of MTB and its correlation with DR-TB transmission.

Authors

Institutions

Publication Details

Journal
Infection Genetics and Evolution
Published
2025-05-10
DOI
https://doi.org/10.1016/j.meegid.2025.105763
Citations
1
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
1.40

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Characterisation of M. tuberculosis isolates obtained from Tamil Nadu prevalence survey by whole genome sequencing analysis

Radhika Golla, Kannan Thiruvengadam, Priya Rajendran, Silla Varghese Thomas et al.
1 citations
Infection Genetics and Evolution
Tuberculosis Research and Epidemiology
1.40
article

Characterisation of M. tuberculosis isolates obtained from Tamil Nadu prevalence survey by whole genome sequencing analysis

Radhika Golla, Kannan Thiruvengadam, Priya Rajendran, Silla Varghese Thomas, Roja Samyuktha, Chandrasekaran Padmapriyadarsini, Sriram Selvaraju, Sivakumar Shanmugam, Asha Frederick, Prathiksha Giridaran, Navinkumar Nagaraj
article en
1 citations

Abstract

Recent advances in whole genome sequencing have facilitated the understanding of drug resistance patterns and lineage distribution of M. tuberculosis worldwide. In this study, we aimed to determine the genetic diversity of MTB isolates from presumptive pulmonary TB patients obtained from a state prevalence survey. A total of 124 isolates were available for further characterisation, out of which 71 (57.2 %) and 47 (37.9 %) were subjected to sequencing and phenotypic DST, respectively. The phenotypic resistance profile revealed 3 isolates with multidrug resistance and 3 with mono-INH resistance. Out of 71 isolates, sequencing data were available for 61 (85.9 %), where the lineage distribution and drug resistance profile were analysed in comparison with phenotypic DST results. All the mutations were significant, accounting for one or the other resistance pattern. The concordance between pDST and gDST for the drugs was above 90 % except for ETH (77 %) and INH (87 %). The phylogenetic analysis of the lineage distribution revealed three clusters with MDR isolates belonging to lineage 1 and lineage 3. While lineage 2 is more frequently associated with MDR distribution both in India and worldwide, we did not find any lineage 2 MDR-TB isolates in our study. The use of WGS analysis improved our understanding of the genetic characteristics of MTB and its correlation with DR-TB transmission.

Infection Genetics and EvolutionVol. 132
Voluntary Health Services Hospital (IN), National Institute of Research in Tuberculosis (IN)
Ministry of Health and Family Welfare
Zero hunger
Openalex Percentile: Top 21%
Tuberculosis Research and Epidemiology
1.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.