The madness of microbiome: Attempting to find consensus “best practice” for 16S microbiome studies

Jolinda Pollock; Laura Glendinning; Trong Wisedchanwet; Michael Watson

doi:10.1128/AEM.02627-17

The madness of microbiome: Attempting to find consensus “best practice” for 16S microbiome studies

Jolinda Pollock, Laura Glendinning, Trong Wisedchanwet, Michael Watson

Research output: Contribution to journal › Article › peer-review

Abstract

The development and continuous improvement of high-throughput sequencing platforms has 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.

Original language	English
Article number	e02627-17
Number of pages	12
Journal	Applied and Environmental Microbiology
Volume	84
Issue number	8
Early online date	2 Feb 2018
DOIs	https://doi.org/10.1128/AEM.02627-17
Publication status	Published - Apr 2018

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10.1128/AEM.02627-17

AEM.02627-17.fullFinal published version, 743 KBLicence: Creative Commons: Attribution (CC-BY)

6 Finished

ISP 1 2017/22 Blueprints for Healthy Animals
Watson, M.
BBSRC
1/04/17 → 31/03/22
Project: Research
ISP 3 2017/22 Improving Animal Health and Welfare
Meddle, S.
BBSRC
1/04/17 → 31/03/22
Project: Research
Understanding the functional and genomic architecture of the rumen microbiome affecting performance traits in bovines
Watson, M.
BBSRC
1/12/16 → 30/11/19
Project: Research

Cite this

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title = "The madness of microbiome: Attempting to find consensus “best practice” for 16S microbiome studies",

abstract = "The development and continuous improvement of high-throughput sequencing platforms has 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 isdescribed and consequently, general recommendations for future 16S rRNA gene metabarcoding experiments are made.",

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The madness of microbiome: Attempting to find consensus “best practice” for 16S microbiome studies

Abstract

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Projects

ISP 1 2017/22 Blueprints for Healthy Animals

ISP 3 2017/22 Improving Animal Health and Welfare

Understanding the functional and genomic architecture of the rumen microbiome affecting performance traits in bovines

Cite this