Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Modern Molecular Taxonomy

Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

A Framework for Antimicrobial Resistance Risk Assessment, Monitoring, and Risk-Reduction Practices along the Reused Water-Soil-Crop-Human Continuum.

Environmental science & technology·2026

Same author

Association of climate change with the spread of antimicrobial resistance genes in Salmonella: a longitudinal ecological and modelling study.

The Lancet. Planetary health·2026

Same author

Wastewater reuse for production of plant-based foods: does spore-forming <i>Clostridioides difficile</i> or <i>Clostridium perfringens</i> represent a health risk?

Applied and environmental microbiology·2026

Same author

Diversity of Pharmaceuticals Enhances Antibiotic Resistance in the Invertebrate Gut via Biofilm-Mediated Mechanisms.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026

Same author

Environmental Antimicrobial Resistant Bacteria and Antibiotic Resistance Genes: The Environmental AMR Exposome.

Environmental science & technology·2026

Same author

Feed additives increase soil risk from antibiotic resistance genes via distinct horizontal gene transfer pathways.

Environment international·2026

Search research articles

Related Experiment Video

Updated: May 17, 2026

Cost-effective Method for Microbial Source Tracking Using Specific Human and Animal Viruses

Cost-effective Method for Microbial Source Tracking Using Specific Human and Animal Viruses

Published on: December 3, 2011

Fecal source tracking in water using a mitochondrial DNA microarray.

Nguyet-Minh Vuong¹, Richard Villemur, Pierre Payment

¹Biotechnology Research Institute, National Research Council of Canada, Montreal, QC, Canada.

|October 23, 2012

Summary

A new mitochondrial microarray (mitoArray) rapidly identifies 29 animal types in water, aiding fecal pollution tracking. This tool enhances watershed monitoring by detecting diverse animal sources contributing to contamination.

More Related Videos

A Duplex Digital PCR Assay for Simultaneous Quantification of the Enterococcus spp. and the Human Fecal-associated HF183 Marker in Waters

A Duplex Digital PCR Assay for Simultaneous Quantification of the Enterococcus spp. and the Human Fecal-associated HF183 Marker in Waters

Published on: March 9, 2016

Development and Testing of Species-specific Quantitative PCR Assays for Environmental DNA Applications

Development and Testing of Species-specific Quantitative PCR Assays for Environmental DNA Applications

Published on: November 5, 2020

Related Experiment Videos

Last Updated: May 17, 2026

Cost-effective Method for Microbial Source Tracking Using Specific Human and Animal Viruses

Cost-effective Method for Microbial Source Tracking Using Specific Human and Animal Viruses

Published on: December 3, 2011

A Duplex Digital PCR Assay for Simultaneous Quantification of the Enterococcus spp. and the Human Fecal-associated HF183 Marker in Waters

A Duplex Digital PCR Assay for Simultaneous Quantification of the Enterococcus spp. and the Human Fecal-associated HF183 Marker in Waters

Published on: March 9, 2016

Development and Testing of Species-specific Quantitative PCR Assays for Environmental DNA Applications

Development and Testing of Species-specific Quantitative PCR Assays for Environmental DNA Applications

Published on: November 5, 2020

Area of Science:

Environmental microbiology
Molecular biology
Water quality monitoring

Background:

Fecal pollution in mixed-activity watersheds poses significant risks to water quality.
Accurate identification of animal sources is crucial for effective source tracking and risk management.
Existing methods for identifying multiple animal sources can be time-consuming and labor-intensive.

Purpose of the Study:

To develop and validate a rapid, high-throughput method for identifying multiple animal species in water samples.
To assess the utility of a mitochondrial DNA (mtDNA)-based microarray for fecal source tracking.
To quantify the level of mtDNA in environmental samples using quantitative PCR (Q-PCR).

Main Methods:

Development of a mitochondrial microarray (mitoArray) targeting the MI-50 region of the mitochondrial genome (12S rRNA - Val tRNA - 16S rRNA).
Design of genus/subfamily-specific oligonucleotide probes for 28 animal species and the Cervidae family.
Use of universal primers for amplification, Q-PCR for mtDNA quantification, and a clamping PCR method to inhibit fish mtDNA amplification.
Validation using DNA from animal tissues and fecal samples, followed by testing on 19 environmental water samples.

Main Results:

The mitoArray successfully identified the dominant animal types present in water samples.
The method demonstrated accuracy in detecting target animals implicated in fecal pollution.
The developed Q-PCR assay effectively quantified mtDNA levels.
The clamping PCR effectively reduced interference from fish mtDNA.

Conclusions:

The mitochondrial microarray (mitoArray) is a validated and accurate tool for rapid, parallel identification of multiple animal sources in water.
This methodology holds significant potential for enhancing routine fecal source tracking in mixed-activity watersheds.
The approach offers a scalable solution for monitoring a wide range of animals contributing to water contamination.