4.6 Review

The Madness of Microbiome: Attempting To Find Consensus Best Practice for 16S Microbiome Studies

Journal

APPLIED AND ENVIRONMENTAL MICROBIOLOGY
Volume 84, Issue 7, Pages -

Publisher

AMER SOC MICROBIOLOGY
DOI: 10.1128/AEM.02627-17

Keywords

16S RNA; DNA sequencing; microbiome

Funding

  1. Biotechnology and Biological Sciences Research Council (BBSRC) [BB/N016742/1, BB/N01720X/1, BB/K501591/1, BB/J01446X/1, BB/P013732/1, BB/J004235/1, BB/J004243/1]
  2. Scottish Government's Rural and Environment Science and Analytical Services Division (RESAS)
  3. Biotechnology and Biological Sciences Research Council [BB/N016742/1, BBS/E/D/30002276, BBS/E/D/20002173, BB/N01720X/1, BBS/E/D/20310000, 1358257, 1732232] Funding Source: researchfish
  4. BBSRC [BB/N016742/1, BBS/E/D/20002173, BB/K501591/1, BBS/E/D/20310000, BBS/E/D/30002276, BB/N01720X/1] Funding Source: UKRI

Ask authors/readers for more resources

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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