Improved taxonomic assignment of human intestinal 16S rRNA sequences by a dedicated reference database

Area of Science:

• Microbiology
• Bioinformatics
• Genomics

Background:

• 16S rRNA gene sequencing is key for microbial ecosystem analysis.
• Accurate taxonomic assignment, especially at genus/species levels, remains challenging for complex environments like the human gut.
• Large, general databases may hinder precise classification due to vast, non-specific sequence data.

Purpose of the Study:

• To develop a specialized 16S rRNA gene database for the human intestinal microbiota.
• To improve the accuracy and efficiency of taxonomic assignment in human gut microbiome studies.

Main Methods:

• Construction of a curated 16S rRNA gene database using high-quality, human-intestinal-specific sequences.
• Comparison of the specialized database's performance against established databases (Greengenes, Silva) using various assignment algorithms.
• Evaluation of taxonomic assignation rates, diversity preservation, and computational resource demands.

Main Results:

• The specialized database contains 2473 unique prokaryotic species-like groups and their lineages.
• Significantly higher species and genus level assignation rates were achieved compared to general databases.
• The specialized database preserved taxonomic diversity and required fewer computational resources.

Conclusions:

• A curated, human-intestinal-specific 16S rRNA gene database offers a practical and effective solution.
• This resource significantly enhances taxonomic assignment for phylogenetic studies of the human gut microbiome.
• The database facilitates more accurate and efficient microbiome profiling.