Related Experiment Video
Updated: Jun 30, 2025

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
Published on: December 7, 2021
metaProbiotics: a tool for mining probiotic from metagenomic binning data based on a language model
Shufang Wu1, Tao Feng1, Waijiao Tang1
1Microbiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
A new language model tool, metaProbiotics, identifies beneficial bacteria in gut metagenomes. It reveals that the integrity of probiotic gene function, not just abundance, is key for gut health, suggesting targeted probiotic use is more effective.
Area of Science:
- Microbiome Research
- Computational Biology
- Probiotic Discovery
Background:
- Beneficial bacteria and their roles in health remain underexplored due to a lack of systematic detection methods.
- Current understanding of probiotic community traits is fragmented, leading to inconsistent conclusions across studies.
Purpose of the Study:
- To develop a novel language model-based tool, metaProbiotics, for rapid and accurate detection of probiotic bacteria from metagenomic data.
- To investigate the probioticity and functional mechanisms of bacterial bins derived from metagenomes, including those from probiotic-treated individuals.
- To explore the relationship between probiotic gene module composition and host health status across different disease cohorts.
Main Methods:
- Development of metaProbiotics, a language model-based approach for identifying probiotic bins in metagenomic datasets.
- Validation of metaProbiotics using simulated benchmark datasets and real-world gut metagenomes from individuals receiving probiotic interventions.
- Analysis of identified probiotic bins to uncover potential probiotic mechanisms and genetic markers (e.g., bai operon).
Main Results:
- metaProbiotics demonstrated superior performance in detecting probiotic bins compared to existing methods.
- The tool identified known probiotic strains and novel probiotic-associated bins, including plasmid-like structures, revealing diverse probiotic mechanisms.
- Probiotic-associated bins were more prevalent in healthy individuals, but their abundance profiles showed cross-disease prediction challenges.
- Analysis of a comprehensive probiotic genome set revealed that diseased individuals often lack specific probiotic gene modules, with disease-specific variations.
- Different gene modules within the same probiotic exhibited heterogeneous effects across various diseases.
Conclusions:
- The functional integrity of the entire probiotic community, rather than the abundance of specific genes, is critical for maintaining gut homeostasis.
- Indiscriminate probiotic supplementation may not confer health benefits; targeted approaches considering gene function are necessary.
- The metaProbiotics tool facilitates novel probiotic discovery and systematic research into bacterial probiotic effects using large-scale metagenomic data.
More Related Videos
09:52A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease
Published on: January 10, 2025
11:13Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products
Published on: March 12, 2020