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Related Experiment Video

Updated: May 30, 2026

Next-generation Sequencing of 16S Ribosomal RNA Gene Amplicons

Next-generation Sequencing of 16S Ribosomal RNA Gene Amplicons

Published on: August 29, 2014

Integrated online system for a pyrosequencing-based microbial source tracking method that targets Bacteroidetes 16S

Tatsuya Unno¹, Doris Y W Di, Jeonghwan Jang

¹Department of Environmental Science and Engineering, Gwangju Institute of Science and Technology, Gwangju 500-712, Republic of Korea and.

Environmental Science & Technology

|July 26, 2011

Summary

This study introduces PyroMiST, an online tool simplifying microbial source tracking (MST) for waterway contamination. PyroMiST efficiently identifies fecal contamination sources using pyrosequencing data, making advanced methods accessible for water quality monitoring.

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Pyrosequencing for Microbial Identification and Characterization

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Published on: April 14, 2016

Area of Science:

Environmental microbiology
Molecular biology
Bioinformatics

Background:

Genotypic microbial source tracking (MST) methods are crucial for identifying fecal contamination sources in waterways.
Pyrosequencing-based MST, while powerful, faces challenges in data handling and routine application.
Previous work established a pyrosequencing MST method based on shared operational taxonomic units (OTUs).

Purpose of the Study:

To develop an accessible online tool, PyroMiST, for microbial source tracking using pyrosequencing data.
To simplify the analysis of massive pyrosequencing datasets for environmental monitoring.
To reduce the time and complexity associated with determining fecal contamination sources.

Main Methods:

Development of an online tool, PyroMiST, accessible via a web interface.
Utilized cd-hit for operational taxonomic unit (OTU) assignment from 16S rDNA pyrosequencing reads.
Employed a Perl script to calculate shared OTUs between fecal and environmental samples.
Focused on total bacterial or Bacteroidetes communities for analysis.

Main Results:

PyroMiST provides a user-friendly web interface for pyrosequencing data analysis.
The tool significantly reduces the time required for MST analyses.
Effective identification of fecal contamination sources using a limited number of pyrosequencing reads.
Demonstrated applicability to both total bacterial and specific (Bacteroidetes) communities.

Conclusions:

PyroMiST overcomes the data handling and analysis challenges of pyrosequencing-based MST.
The tool enhances the routine application of advanced MST methods in water quality monitoring.
PyroMiST facilitates efficient and accurate determination of fecal contamination sources in environmental waters.