The Madness of Microbiome: Attempting To Find Consensus “Best Practice” for 16S Microbiome Studies
Open accessAbstract
The development and continuous improvement of high-throughput sequencing platforms have stimulated interest in the study of complex microbial communities. Currently, the most popular sequencing approach to study microbial community composition and dynamics is targeted 16S rRNA gene metabarcoding. To prepare samples for sequencing, there are a variety of processing steps, each with the potential to introduce bias at the data analysis stage. In this short review, key information from the literature pertaining to each processing step is described, and consequently, general recommendations for future 16S rRNA gene metabarcoding experiments are made.
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Recent efforts have been made to consolidate and standardize sequencing and analysis protocols to improve overall quality and compatibility of microbiome research.
“Recent efforts have been made to consolidate and standardize sequencing and analysis protocols, to improve overall quality and compatibility of research in the microbiome field (Knight et al., 2018;Mallick et al., 2017;Pollock et al., 2018).”
From The Microbiota-Gut-Brain Axis (2019) · cites this paper as Pollock et al., 2018
The Introduction says the review collates research on 16S sequencing and analysis, and the Conclusions recommend consistent methods to minimize bias. That supports an effort to improve study quality. But the Conclusions also say there is little consensus and that comparisons between studies may not be possible, so the paper does not support the claim's implication of improved compatibility across microbiome research. (LLM, conf=0.84)
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Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences
Langille, M. G. I., Zaneveld, J., Caporaso, J. G., McDonald, D., Knights, D., Reyes, J. A., Clemente, J. C., Burkepile, D. E., Vega Thurber, R. L., Knight, R., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2676 · Cited by 9,116 · see citing works
Reducing the Effects of PCR Amplification and Sequencing Artifacts on 16S rRNA-Based Studies
Schloss, P. D., Gevers, D., & Westcott, S. L. (2011) · PLoS ONE · doi:10.1371/journal.pone.0027310 · Cited by 2,112 · see citing works
Wesolowska-Andersen, A., Bahl, M. I., Carvalho, V., Kristiansen, K., Sicheritz-Pontén, T., Gupta, R., & Licht, T. R. (2014) · Microbiome · doi:10.1186/2049-2618-2-19 · Cited by 277 · see citing works
Sequencing 16S rRNA gene fragments using the PacBio SMRT DNA sequencing system.
Schloss, P. D., Jenior, M. L., Koumpouras, C. C., Westcott, S. L., & Highlander, S. K. (2016) · PeerJ · doi:10.7717/peerj.1869 · Cited by 226 · cited 1× · see citing works
“027% for PacBio data, which is comparable to Illumina, 454 and Ion Torrent 216 systems (54).”
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- Authors
- Pollock, J., Glendinning, L., Wisedchanwet, T., & Watson, M.
- Affiliations
- Roslin Institute (GB)
- Corresponding author
- Pollock, Jolinda
- Venue
- Applied and Environmental Microbiology
- Publisher
- American Society for Microbiology
- Published
- 2018-04
- Volume
- 84
- Issue
- 7
- ISSN
- 0099-2240 (ISSN-L)
- 1098-5336
- PMC
- PMC5861821
- OpenAlex
- W2786335128
- Cited by
- 575
- References
- 4
- Citations by year
- 2026: 57 · 2025: 41 · 2024: 47 · 2023: 59 · 2022: 69 · 2021: 119 · 2020: 94 · 2019: 66 · 2018: 22 · 2015: 1
- FWCI
- 7.94
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Applied and Environmental Microbiology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by)
- Funders
- RCUK | Biotechnology and Biological Sciences Research Council (BB/K501591/1, BB/N016742/1, BB/J01446X/1, BB/N01720X/1)
- Topics
- Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Physical Sciences › Environmental Science › Ecology › Environmental DNA in Biodiversity Studies
- Keywords
- 16S rRNA metabarcoding, microbiome, microbial community composition, best practices, next-generation sequencing
- MeSH terms
- RNA, Bacterial, RNA, Ribosomal, 16S, Guidelines as Topic, DNA Barcoding, Taxonomic, Microbiota
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