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Reproducibility and repeatability of six high-throughput 16S rDNA sequencing protocols for microbiota profiling

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https://hdl.handle.net/10037/15301
DOI
https://doi.org/10.1016/j.mimet.2018.03.003
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Date
2018-03-18
Type
Journal article
Tidsskriftartikkel
Peer reviewed

Author
Raju, Sajan C.; Lagström, Sonja; Ellonen, Pekka; de Vos, Willem M.; Eriksson, Johan Gunnar; Weiderpass, Elisabete; Rounge, Trine Ballestad
Abstract
Culture-independent molecular techniques and advances in next generation sequencing (NGS) technologies make large-scale epidemiological studies on microbiota feasible. A challenge using NGS is to obtain high reproducibility and repeatability, which is mostly attained through robust amplification. We aimed to assess the reproducibility of saliva microbiota by comparing triplicate samples. The microbiota was produced with simplified in-house 16S amplicon assays taking advantage of large number of barcodes. The assays included primers with Truseq (TS-tailed) or Nextera (NX-tailed) adapters and either with dual index or dual index plus a 6-nt internal index. All amplification protocols produced consistent microbial profiles for the same samples. Although, in our study, reproducibility was highest for the TS-tailed method. Five replicates of a single sample, prepared with the TS-tailed 1-step protocol without internal index sequenced on the HiSeq platform provided high alpha-diversity and low standard deviation (mean Shannon and Inverse Simpson diversity was 3.19 ± 0.097 and 13.56 ± 1.634 respectively). Large-scale profiling of microbiota can consistently be produced by all 16S amplicon assays. The TS-tailed-1S dual index protocol is preferred since it provides repeatable profiles on the HiSeq platform and are less labour intensive.
Description
Source at https://doi.org/10.1016/j.mimet.2018.03.003.
Publisher
Elsevier
Citation
Raju, S.C., Lagström, S, Ellonen, P., de Vos, W.M., Eriksson, J.G., Weiderpass, E. & Rounge, T.B. (2018). Reproducibility and repeatability of six high-throughput 16S rDNA sequencing protocols for microbiota profiling. Journal of Microbiological Methods, 147, 76-86. https://doi.org/10.1016/j.mimet.2018.03.003
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