bioRxivMicrobiologyPreprint
Gene copy normalization of the 16S rRNA gene cannot outweigh the methodological biases of sequencing
Abstract
The 16S rRNA gene is the golden standard target of sequencing to uncover the composition of bacterial communities but the presence of multiple copies of the gene makes gene copy normalization (GCN) inevitable. Even though GCN resulted in abundances closer to the metagenome, it should be validated by communities with known composition as both amplicon and shotgun sequencing are prone to methodological biases. Here we compared the composition of three mock communities to the composition derived from 16S sequencing without and with GCN. In all of them, the 16S composition was different from the mock community and GCN improved the picture only in the community with the lowest Shannon diversity. Albeit with low abundance, half of the identified genera were not present in the mock communities. Our approach provides empirical evidence to the methodological biases introduced by sequencing that was only counteracted by GCN in the case of low -diversity, potentially due to the small number of bacterial taxa with known gene copy numbers. We thus cannot recommend the use of GCN moving forward and it is questionable whether a complete catalogue of 16S rRNA copy numbers can outweigh the methodological biases of sequencing.
- organism: bacteria (other)
- assay: metagenomics
- research focus: benchmarking
- approach: experimental assay
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Improved microbial community characterization of 16S rRNA via metagenome hybridization capture enrichment
M. S. Beaudry, J. Wang, … T. C. Glenn·bioRxiv·Dec 18, 2020
- Accounting for 16S rRNA copy number prediction uncertainty and its implications in microbial diversity analyses
- Consistent and correctable bias in metagenomic sequencing measurements
Michael R. McLaren, Amy D. Willis, Benjamin J. Callahan·eLifePeer-reviewed·Sep 9, 2019
- UNBIAS: An attempt to correct abundance bias in 16S sequencing, with limited success
R. C. Edgar·bioRxiv·Apr 4, 2017
- Interpretations of microbial community studies are biased by the selected 16S rRNA gene amplicon sequencing pipeline.
D. Straub, N. Blackwell, … S. Kleindienst·Frontiers in MicrobiologyPeer-reviewed·Oct 23, 2020
- Accurate Determination of Bacterial Abundances in Human Metagenomes Using Full-length 16S Sequencing Reads
Fanny Perraudeau, Sandrine Dudoit, James H. Bullard·bioRxiv·Dec 4, 2017