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Updated: May 8, 2026

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Published on: October 15, 2019

A microbial profiling method for the human microbiota using high-throughput sequencing.

Huei-Hun Elizabeth Tseng¹, Meredith A J Hullar, Fei Li

¹Department of Computer Science & Engineering, University of Washington, Seattle, WA 98195.

Metagenomics (Cairo, Egypt)

|September 10, 2013

Summary

This summary is machine-generated.

Microbial nucleotide signatures (MNS) offer a cost-effective method to profile the human gut microbiota using short Illumina sequencing reads. This approach accurately differentiates microbial communities, aiding large-scale population studies on health and disease.

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Published on: May 2, 2018

Area of Science:

Microbiome research
Human health and disease

Background:

Understanding the human gut microbiota's role in health and disease requires population-level studies.
Current methods for characterizing microbial variation are often costly, limiting large-scale research.
The efficacy of short-read sequencing for comprehensive microbiota profiling remains uncertain.

Purpose of the Study:

To evaluate the utility of microbial nucleotide signatures (MNS) for low-depth human microbiota profiling using short Illumina reads.
To establish a cost-effective method for characterizing microbial variation in large human populations.
To assess MNS's ability to differentiate microbial communities for epidemiological studies.

Main Methods:

Developed and applied the microbial nucleotide signatures (MNS) method.
Calculated nucleotide diversities along the 16S rRNA gene region without assembly or phylogenetic identification.
Utilized low-depth Illumina short reads for microbiota sampling.
Tested MNS on samples from 9 healthy individuals and public datasets.

Main Results:

MNS successfully differentiated the gut microbial nucleotide signatures of 9 healthy individuals.
Microbiota diversity profiles remained stable even with subsampling to 40,000 short reads (51 bp).
Application to public datasets demonstrated MNS's ability to distinguish between different body sites.

Conclusions:

Microbial nucleotide signatures (MNS) provide a scalable and cost-effective approach for human microbiota profiling.
The method is suitable for large-scale population-based studies, aiding epidemiological research.
MNS can facilitate rapid classification of participants, enabling targeted in-depth sequencing for comprehensive health and disease association studies.