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Related Experiment Video

Updated: Dec 17, 2025

Guided Protocol for Fecal Microbial Characterization by 16S rRNA-Amplicon Sequencing

Guided Protocol for Fecal Microbial Characterization by 16S rRNA-Amplicon Sequencing

Published on: March 19, 2018

A Guide to Diet-Microbiome Study Design.

Abigail J Johnson¹, Jack Jingyuan Zheng², Jea Woo Kang²

¹BioTechnology Institute, College of Biological Sciences, University of Minnesota, Minneapolis, MN, United States.

Frontiers in Nutrition

|June 30, 2020

Summary

This summary is machine-generated.

Understanding the gut microbiome

Keywords:

diet dietary intake methodology microbiome personalized nutrition study design

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Last Updated: Dec 17, 2025

Guided Protocol for Fecal Microbial Characterization by 16S rRNA-Amplicon Sequencing

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Published on: March 19, 2018

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

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Published on: October 15, 2019

An In Vitro Batch-culture Model to Estimate the Effects of Interventional Regimens on Human Fecal Microbiota

An In Vitro Batch-culture Model to Estimate the Effects of Interventional Regimens on Human Fecal Microbiota

Published on: July 31, 2019

Area of Science:

Microbiome research
Dietary science
Human health

Background:

The human gut microbiome significantly impacts health.
Diet is a key factor influencing microbiome composition.
Mechanisms linking diet and microbiome function are not fully understood.

Purpose of the Study:

Review current diet-microbiome study designs.
Establish best practices for data collection and analysis.
Address the lack of standardized methodologies in the field.

Main Methods:

Literature review of existing diet-microbiome studies.
Analysis of current practices in dietary data collection.
Evaluation of study designs for diet-microbiome interactions.

Main Results:

Most microbiome studies lack detailed dietary analysis.
Direct dietary effects on the microbiome may appear within days.
Microbiome-mediated host effects may require weeks or months to observe.

Conclusions:

Recommend multiple microbiome samples and detailed dietary history.
Emphasize the need for standardized diet-microbiome study designs.
Highlight the personalized nature of diet-microbiome interactions.