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Updated: May 9, 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

Omics approaches to study host-microbiota interactions.

Peter van Baarlen¹, Michiel Kleerebezem, Jerry M Wells

¹Host-Microbe Interactomics Group, Wageningen University, Wageningen, The Netherlands.

Current Opinion in Microbiology

|July 30, 2013

Summary

This summary is machine-generated.

Investigating the gut microbiota

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Area of Science:

Microbiology and immunology, focusing on the gut microbiome's role in health and disease.

Background:

The intestinal microbiota significantly influences host physiology and immunity.
Imbalances in the gut microbiota are linked to various health disorders.

Purpose of the Study:

To explore advanced methods for understanding microbiota's impact on human health.
To discuss the utility of large-scale omics tools and reductionist models.

Main Methods:

Utilizing transcriptomics, metagenomics, and metabolomics for large-scale analysis.
Employing gnotobiotic mouse models for hypothesis testing and mechanistic studies.
Integrating network biology with animal and cell line studies for iterative research.

Main Results:

Omics technologies provide quantifiable tools to study microbiota-host interactions.
Reductionist models are valuable for elucidating specific microbial impacts.
Network biology facilitates a cycle of hypothesis generation and testing.

Conclusions:

A combination of omics, reductionist models, and network biology can advance our understanding of the gut microbiota's role in health and disease.
Iterative testing, potentially including clinical and nutritional studies, is crucial for validating findings.