Related Experiment Video
Updated: May 6, 2026
10:24
Next-generation Sequencing of 16S Ribosomal RNA Gene Amplicons
Published on: August 29, 2014
85.9K
MultiTax-human: an extensive and high-resolution human-related full-length 16S rRNA reference database and taxonomy
Zhiwei Bao1,2, Bin Zhang1, Jianhua Yao2
1State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Microbiology Spectrum
|January 16, 2025
Summary
We developed the MultiTax-human database for precise taxonomic classification of the human microbiome. This high-resolution resource enhances understanding of microbial roles in health and disease.
Area of Science:
- Microbiology
- Bioinformatics
- Genomics
Background:
- The human microbiota is crucial for health and disease.
- Accurate taxonomic classification is essential for microbiome analysis.
- Existing methods often lack precision and consistency.
Purpose of the Study:
- To develop an automatic system, the MultiTax pipeline, for de novo taxonomy generation.
- To construct the MultiTax-human database, a high-resolution resource for human microbiome research.
- To enhance the precision of human microbiome studies and understanding of its health implications.
Main Methods:
- Constructed the MultiTax-human database with 842,649 full-length 16S rRNA sequences.
- Utilized Genome Taxonomy Database and other reference databases.
- Developed an automatic system (MultiTax pipeline) for taxonomic classification.
Main Results:
- Created a comprehensive and accurate portrayal of the human microbiome.
- Successfully profiled the human microbiome across various body sites.
- Identified core microbial taxa and validated database performance on independent data.
Conclusions:
- The MultiTax-human database is a valuable tool for researchers and clinicians.
- Enhances precision in human microbiome studies.
- Advances understanding of the microbiome's impact on human health and diseases.
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