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Research Note: Choice of microbiota database affects data analysis and interpretation in chicken cecal microbiota
Philip M Campos1, Nadia Darwish1, Jonathan Shao2
1Oak Ridge Institute for Science and Education (ORISE) USDA-ARS Research Participation Program, Oak Ridge, TN, USA; USDA-ARS, NEA Bioinformatics, Statistics Group, Beltsville, MD, USA; USDA-ARS, NEA, Beltsville Agricultural Research Center, Animal Biosciences and Biotechnology Laboratory, Beltsville, MD 20705, USA.
The choice of taxonomic database significantly impacts chicken microbiota studies. Using the SILVA database offers more precise genus-level classifications than Greengenes or RDP, improving poultry health data interpretation.
Area of Science:
- Microbiome research
- Bioinformatics
- Poultry science
Background:
- Chicken microbiota analysis is crucial for understanding poultry health, diet, and disease impacts.
- Bioinformatic platforms like QIIME 2 utilize taxonomic databases (Greengenes, RDP, SILVA) for bacterial sequence classification.
- The Greengenes database has not been updated since 2013, raising concerns about its continued use.
Purpose of the Study:
- To compare the influence of different taxonomic databases (Greengenes, RDP, SILVA) on chicken cecal microbiome analysis.
- To evaluate how database choice affects taxonomic classification and the identification of differentially abundant bacteria.
- To recommend an optimal database for accurate chicken microbiota research.
Main Methods:
- Processing of 16S bacterial sequences using the QIIME 2 platform.
- Taxonomic assignment using Greengenes, Ribosomal Database Project (RDP), and SILVA databases.
- Differential abundance analysis using Linear Discriminant Analysis Effect Size (LEfSe).
Main Results:
- Significant differences in taxonomic classification were observed between the databases.
- The SILVA database provided more granular classification within the Lachnospiraceae family compared to Greengenes and RDP.
- LEfSe analysis revealed more differentially abundant genera with SILVA, largely due to improved Lachnospiraceae classification.
Conclusions:
- The selection of a taxonomic database critically influences chicken microbiota study outcomes at the genus level.
- The SILVA database is recommended for chicken microbiota studies due to its superior classification accuracy.
- Using updated and more specific databases like SILVA enhances the reliability of interpreting microbial community shifts in poultry.
