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Related Experiment Video

Updated: Nov 8, 2025

An Analytical Tool-box for Comprehensive Biochemical, Structural and Transcriptome Evaluation of Oral Biofilms Mediated by Mutans Streptococci

An Analytical Tool-box for Comprehensive Biochemical, Structural and Transcriptome Evaluation of Oral Biofilms Mediated by Mutans Streptococci

Published on: January 25, 2011

G2S: A New Deep Learning Tool for Predicting Stool Microbiome Structure From Oral Microbiome Data.

Simone Rampelli¹, Marco Fabbrini^1,2, Marco Candela¹

¹Unit of Microbiome Science and Biotechnology, Department of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy.

Frontiers in Genetics

|April 26, 2021

Summary

This study introduces G2S, a deep learning tool predicting human fecal microbiome from oral data. It offers novel insights for paleomicrobiology and retrospective studies.

Keywords:

deep learning gut microbiome microbiome oral microbiome paleomicrobiology

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Published on: January 25, 2011

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Published on: December 31, 2017

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

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Published on: October 15, 2019

Area of Science:

Microbiology
Bioinformatics
Computational Biology

Background:

Deep learning (DL) shows promise in microbial metagenomics but is underexplored in microbiology.
Few software tools exist for microbiome data analysis.
Meta-community theory provides a framework for DL applications in the human microbiome.

Purpose of the Study:

To develop a deep learning-based bioinformatics tool (G2S) for predicting the human fecal microbiome from oral microbiome data.
To leverage G2S for retrospective studies and paleomicrobiology.

Main Methods:

Development of G2S, a bioinformatics tool utilizing a deep convolutional neural network.
Training the network on paired oral and fecal samples from diverse global populations.
Validation of G2S on characterized sample pairs and application to ancient dental calculus data.

Main Results:

G2S accurately predicts the human fecal microbiome at the family level from oral microbiome data.
The tool demonstrates superior performance compared to existing approaches.
Application to ancient dental calculus provided insights into medieval gut microbiome configurations.

Conclusions:

G2S offers a novel approach for non-invasive fecal microbiome analysis.
The tool has significant implications for retrospective human microbiome research.
G2S opens new avenues in paleomicrobiology for reconstructing ancient gut microbiomes.