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Updated: Sep 28, 2025
11:22
Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
Published on: October 15, 2019
29.9K
Microbial Identification Using rRNA Operon Region: Database and Tool for Metataxonomics with Long-Read Sequence.
Donghyeok Seol1,2, Jin Soo Lim2, Samsun Sung1
1eGnome, Inc, Seoul, Republic of Korea.
Microbiology Spectrum
|March 30, 2022
Summary
Researchers can now achieve higher resolution bacterial community analysis using the 16S-ITS-23S rRNA operon region with the new MIrROR database and analysis tool. This platform supports long-read sequencing for more accurate metagenomic insights.
Area of Science:
- Microbiology
- Bioinformatics
- Genomics
Background:
- Long-read sequencing offers higher taxonomic resolution for bacterial community analysis compared to short-read platforms.
- Existing resources and protocols for long-read metagenomics, particularly for the 16S-ITS-23S rRNA operon region, are limited.
Purpose of the Study:
- To introduce MIrROR, a comprehensive database and analysis tool for bacterial metataxonomics using the 16S-ITS-23S rRNA operon region.
- To provide a user-friendly platform for high-resolution bacterial community profiling with long-read sequencing technologies.
Main Methods:
- Curated 97,781 16S-ITS-23S rRNA operon sequences from 43,653 bacterial genomes in NCBI GenBank.
- Developed a mapping-based analysis tool for taxonomic profiling using the MIrROR database.
- Benchmarked MIrROR against existing databases and tools using mock communities and simulated datasets.
Main Results:
- The MIrROR database contains 97,781 sequences covering 9,485 bacterial species.
- The MIrROR platform demonstrated high accuracy in species classification and broad coverage.
- Performance benchmarks showed MIrROR to be competitive with existing resources.
Conclusions:
- MIrROR addresses the need for specialized databases and tools for long-read based 16S-ITS-23S rRNA operon analysis.
- The platform facilitates high-resolution bacterial community analysis, offering new insights across various research fields.
- MIrROR supports cost-effective sequencers like Oxford Nanopore's MinION for advanced metagenomic studies.
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