The madness of microbiome: attempting to find consensus "best practice" for 16S microbiome studies

J Pollock; L Glendinning; T Wisedchanwet; M Watson

doi:10.1128/AEM.02627-17

The madness of microbiome: attempting to find consensus "best practice" for 16S microbiome studies

J Pollock, L Glendinning, T Wisedchanwet, M Watson

Disease Systems

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

362 Citations (Scopus)

68 Downloads (Pure)

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
Journal	Applied and Environmental Microbiology
Volume	84
Issue number	7
Early online date	2 Feb 2018
DOIs	https://doi.org/10.1128/AEM.02627-17
Publication status	First published - 2 Feb 2018

Bibliographical note

1025227

Keywords

16S RNA
DNA sequencing
Microbiome

Access to Document

10.1128/AEM.02627-17

14776.pdfAccepted author manuscript, 738 KBLicence: CC BY-NC

Cite this

@article{14cae03544b84794a4688120eb111e9b,

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 is described and consequently, general recommendations for future 16S rRNA gene metabarcoding experiments are made.",

keywords = "16S RNA, DNA sequencing, Microbiome",

author = "J Pollock and L Glendinning and T Wisedchanwet and M Watson",

note = "1025227",

year = "2018",

month = feb,

day = "2",

doi = "10.1128/AEM.02627-17",

language = "English",

volume = "84",

journal = "Applied and Environmental Microbiology",

issn = "0099-2240",

publisher = "American Society for Microbiology",

number = "7",

}

TY - JOUR

T1 - The madness of microbiome: attempting to find consensus "best practice" for 16S microbiome studies

AU - Pollock, J

AU - Glendinning, L

AU - Wisedchanwet, T

AU - Watson, M

N1 - 1025227

PY - 2018/2/2

Y1 - 2018/2/2

N2 - 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.

AB - 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.

KW - 16S RNA

KW - DNA sequencing

KW - Microbiome

U2 - 10.1128/AEM.02627-17

DO - 10.1128/AEM.02627-17

M3 - Article

C2 - 29427429

SN - 0099-2240

VL - 84

JO - Applied and Environmental Microbiology

JF - Applied and Environmental Microbiology

IS - 7

M1 - e02627-17

ER -

The madness of microbiome: attempting to find consensus "best practice" for 16S microbiome studies

Abstract

Bibliographical note

Keywords

Access to Document

Fingerprint

Cite this