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Towards standards for human fecal sample processing in metagenomic studies

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Item Type:Article
Title:Towards standards for human fecal sample processing in metagenomic studies
Creators Name:Costea, P.I., Zeller, G., Sunagawa, S., Pelletier, E., Alberti, A., Levenez, F., Tramontano, M., Driessen, M., Hercog, R., Jung, F.E., Kultima, J.R., Hayward, M.R., Coelho, L.P., Allen-Vercoe, E., Bertrand, L., Blaut, M., Brown, J.R.M., Carton, T., Cools-Portier, S., Daigneault, M., Derrien, M., Druesne, A., de Vos, W.M., Finlay, B.B., Flint, H.J., Guarner, F., Hattori, M., Heilig, H., Luna, R.A., van Hylckama Vlieg, J., Junick, J., Klymiuk, I., Langella, P., Le Chatelier, Z., Mai, V., Manichanh, C., Martin, J.C., Mery, C., Morita, H., O'Toole, P.W., Orvain, C., Patil, K.R., Penders, J., Persson, S., Pons, N., Popova, M., Salonen, A., Saulnier, D., Scott, K.P., Singh, B., Slezak, K., Veiga, P., Versalovic, J., Zhao, L., Zoetendal, E.G., Ehrlich, S.D., Dore, J. and Bork, P.
Abstract:Technical variation in metagenomic analysis must be minimized to confidently assess the contributions of microbiota to human health. Here we tested 21 representative DNA extraction protocols on the same fecal samples and quantified differences in observed microbial community composition. We compared them with differences due to library preparation and sample storage, which we contrasted with observed biological variation within the same specimen or within an individual over time. We found that DNA extraction had the largest effect on the outcome of metagenomic analysis. To rank DNA extraction protocols, we considered resulting DNA quantity and quality, and we ascertained biases in estimates of community diversity and the ratio between Gram-positive and Gram-negative bacteria. We recommend a standardized DNA extraction method for human fecal samples, for which transferability across labs was established and which was further benchmarked using a mock community of known composition. Its adoption will improve comparability of human gut microbiome studies and facilitate meta-analyses.
Keywords:Bacteria, Chemical Fractionation, Computational Biology, DNA, Feces, Metagenomics, Quality Control, Species Specificity
Source:Nature Biotechnology
ISSN:1087-0156
Publisher:Nature Publishing Group
Volume:35
Number:11
Page Range:1069-1076
Date:November 2017
Additional Information:Copyright © 2017 Nature America Inc., part of Springer Nature. All rights reserved.
Official Publication:https://doi.org/10.1038/nbt.3960
PubMed:View item in PubMed

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