Partitioning and probe-based quantitative PCR assays for the wastewater monitoring of <i>Mycobacterium tuberculosis</i> complex, <i>M. tuberculosis</i> , and <i>M. bovis</i>

Three new probe-based quantitative PCR assays were designed based on existing PCR assays to quantitate <i>Mycobacterium tuberculosis</i> complex (MTBC) species, <i>M. tuberculosis</i> (MTB), and <i>M. bovis</i> (MB) in wastewater targeting genomic regions <i>rv0577</i>, RD9, and the deletion of RD4, respectively. The assays were validated for specificity using four Mycobacterial species, including two MTBC species and two non-tuberculosis Mycobacteria species, and endogenous wastewater samples from Ottawa, Ontario, Canada, Mumbai, India, and a remote Northern Indigenous community in Nunangat with known ongoing tuberculosis cases or outbreaks. The three assays demonstrate high sensitivity and are suitable for use in wastewater. Partitioning experiments performed on endogenous MTBC and MTB in collected wastewaters from Mumbai, India with known tuberculosis outbreaks show that the targeted genomic regions of <i>rv0577</i> (MTBC) and RD9 (MTB) used to quantitate human tuberculosis infection predominately partition to solids fraction of wastewaters. The partitioning results of this study, in combination with the presented probe-based PCR assays, provide guidance on how to best enrich wastewaters and rapidly and economically quantify tuberculosis with high specificity and sensitivity in wastewaters.

Authors

Institutions

Publication Details

Journal
Journal of Water and Health
Published
2025-09-19
DOI
https://doi.org/10.2166/wh.2025.102
Primary Topic
Mycobacterium research and diagnosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Partitioning and probe-based quantitative PCR assays for the wastewater monitoring of Mycobacterium tuberculosis complex, M. tuberculosis , and M. bovis

Stéphanie Guilherme, Nada Hegazy, Elizabeth Renouf, Chandler H. Wong et al.
Journal of Water and Health
Mycobacterium research and diagnosis
article

Partitioning and probe-based quantitative PCR assays for the wastewater monitoring of Mycobacterium tuberculosis complex, M. tuberculosis , and M. bovis

Stéphanie Guilherme, Nada Hegazy, Elizabeth Renouf, Chandler H. Wong, Leonor Ward, Md Pervez Kabir, Robert Delatolla, Shen Wan, Emma Tomalty, Tram Bich Nguyen, Élisabeth Mercier, Felix Gyawu Addo, Yassen Tcholakov
article en

Abstract

Three new probe-based quantitative PCR assays were designed based on existing PCR assays to quantitate <i>Mycobacterium tuberculosis</i> complex (MTBC) species, <i>M. tuberculosis</i> (MTB), and <i>M. bovis</i> (MB) in wastewater targeting genomic regions <i>rv0577</i>, RD9, and the deletion of RD4, respectively. The assays were validated for specificity using four Mycobacterial species, including two MTBC species and two non-tuberculosis Mycobacteria species, and endogenous wastewater samples from Ottawa, Ontario, Canada, Mumbai, India, and a remote Northern Indigenous community in Nunangat with known ongoing tuberculosis cases or outbreaks. The three assays demonstrate high sensitivity and are suitable for use in wastewater. Partitioning experiments performed on endogenous MTBC and MTB in collected wastewaters from Mumbai, India with known tuberculosis outbreaks show that the targeted genomic regions of <i>rv0577</i> (MTBC) and RD9 (MTB) used to quantitate human tuberculosis infection predominately partition to solids fraction of wastewaters. The partitioning results of this study, in combination with the presented probe-based PCR assays, provide guidance on how to best enrich wastewaters and rapidly and economically quantify tuberculosis with high specificity and sensitivity in wastewaters.

Journal of Water and HealthVol. 23(10)
University of Ottawa (CA), Nunavik Regional Board of Health and Social Services (CA), Université Laval (CA)
Openalex Percentile: Top 65%
Mycobacterium research and diagnosis
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.