2017
DOI: 10.1186/s40168-017-0267-5
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Optimizing methods and dodging pitfalls in microbiome research

Abstract: Research on the human microbiome has yielded numerous insights into health and disease, but also has resulted in a wealth of experimental artifacts. Here, we present suggestions for optimizing experimental design and avoiding known pitfalls, organized in the typical order in which studies are carried out. We first review best practices in experimental design and introduce common confounders such as age, diet, antibiotic use, pet ownership, longitudinal instability, and microbial sharing during cohousing in ani… Show more

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Cited by 441 publications
(420 citation statements)
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References 129 publications
(116 reference statements)
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“…Specifically, whether changes in bacteria, such as C acnes and Pseudomonas species, on superficial skin layers contribute to or reflect changes in follicular microbiota may be investigated. Future iterations of our study may also use mock community controls, 45 which we did not use, to account for foreign DNA that may have been introduced into 16S rRNA gene analysis through use of cotton swabs.…”
Section: Discussionmentioning
confidence: 99%
“…Specifically, whether changes in bacteria, such as C acnes and Pseudomonas species, on superficial skin layers contribute to or reflect changes in follicular microbiota may be investigated. Future iterations of our study may also use mock community controls, 45 which we did not use, to account for foreign DNA that may have been introduced into 16S rRNA gene analysis through use of cotton swabs.…”
Section: Discussionmentioning
confidence: 99%
“…16S sequencing was performed; primers annealing to the V1–V2 region of the 16S bacterial gene were used for amplification as described previously (McKenna et al, 2008). Purified products from the samples were pooled in equal amounts and sequenced using Illumina MiSeq; positive and negative controls were used (Kim et al, 2017). Sequence data was processed using Quantitative Insights Into Microbial Ecology (QIIME) version 1.9 (Caporaso et al, 2010).…”
Section: Methodsmentioning
confidence: 99%
“…To account for contaminating environmental and/or artefactual sequences introduced during acquisition, processing, and library preparation of low biomass samples, 23,24,26,27 bronchoscope prewashes, buffer, and sterile water blanks were analyzed using the same workflow. To account for contaminating environmental and/or artefactual sequences introduced during acquisition, processing, and library preparation of low biomass samples, 23,24,26,27 bronchoscope prewashes, buffer, and sterile water blanks were analyzed using the same workflow.…”
Section: Shotgun Metagenomic Sequencing and Bioinformatics Pipelinementioning
confidence: 99%