Gut microbiota analysis results are highly dependent on the 16S rRNA gene target region, whereas the impact of DNA extraction is minor
Open accessAbstract
Next-generation sequencing (NGS) is currently the method of choice for analyzing gut microbiota composition. As gut microbiota composition is a potential future target for clinical diagnostics, it is of utmost importance to enhance and optimize the NGS analysis procedures. Here, we have analyzed the impact of DNA extraction and selected 16S rDNA primers on the gut microbiota NGS results. Bacterial DNA from frozen stool specimens was extracted with 5 commercially available DNA extraction kits. Special attention was paid to the semiautomated DNA extraction methods that could expedite the analysis procedure, thus being especially suitable for clinical settings. The microbial composition was analyzed with 2 distinct protocols: 1 targeting the V3-V4 and the other targeting the V4-V5 area of the bacterial 16S rRNA gene. The overall effect of DNA extraction on the gut microbiota 16S rDNA profile was relatively small, whereas the 16S rRNA gene target region had an immense impact on the results. Furthermore, semiautomated DNA extraction methods clearly appeared suitable for NGS procedures, proposing that application of these methods could importantly reduce hands-on time and human errors without compromising the validity of results.
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Cites
QIIME allows analysis of high-throughput community sequencing data
Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887 · see citing works
Naive Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy
Wang, Q., Garrity, G. M., Tiedje, J. M., & Cole, J. R. (2007) · Applied and Environmental Microbiology · doi:10.1128/aem.00062-07 · Cited by 19,770 · see citing works
A human gut microbial gene catalogue established by metagenomic sequencing
MetaHIT Consortium, Qin, J., Li, R., Raes, J., Arumugam, M., Burgdorf, K. S., Manichanh, C., Nielsen, T., Pons, N., Levenez, F., et al. (2010) · Nature · doi:10.1038/nature08821 · Cited by 11,624 · see citing works
Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB
DeSantis, T. Z., Hugenholtz, P., Larsen, N., Rojas, M., Brodie, E. L., Keller, K., Huber, T., Dalevi, D., Hu, P., & Andersen, G. L. (2006) · Applied and Environmental Microbiology · doi:10.1128/aem.03006-05 · Cited by 10,891 · see citing works
Klindworth, A., Pruesse, E., Schweer, T., Peplies, J., Quast, C., Horn, M., & Glöckner, F. O. (2013) · Nucleic Acids Research · doi:10.1093/nar/gks808 · Cited by 8,850 · see citing works
Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platforms
Caporaso, J. G., Lauber, C. L., Walters, W. A., Berg-Lyons, D., Huntley, J., Fierer, N., Owens, S. M., Betley, J., Fraser, L., Bauer, M., et al. (2012) · The ISME Journal · doi:10.1038/ismej.2012.8 · Cited by 8,839 · see citing works
Human gut microbes associated with obesity
Ley, R. E., Turnbaugh, P. J., Klein, S., & Gordon, J. I. (2006) · Nature · doi:10.1038/4441022a · Cited by 8,785 · see citing works
Diversity of the Human Intestinal Microbial Flora
Eckburg, P. B., Bik, E. M., Bernstein, C. N., Purdom, E., Dethlefsen, L., Sargent, M., Gill, S. R., Nelson, K. E., & Relman, D. A. (2005) · Science · doi:10.1126/science.1110591 · Cited by 7,913 · see citing works
Human gut microbiome viewed across age and geography
Yatsunenko, T., Rey, F. E., Manary, M. J., Trehan, I., Dominguez-Bello, M. G., Contreras, M., Magris, M., Hidalgo, G., Baldassano, R. N., Anokhin, A. P., et al. (2012) · Nature · doi:10.1038/nature11053 · Cited by 7,815 · see citing works
Kozich, J. J., Westcott, S. L., Baxter, N. T., Highlander, S. K., & Schloss, P. D. (2013) · Applied and Environmental Microbiology · doi:10.1128/aem.01043-13 · Cited by 7,004 · see citing works
Changes of Intestinal Functions in Liver Cirrhosis
Fukui, H., & Wiest, R. (2016) · Inflammatory Intestinal Diseases · doi:10.1159/000444436 · Cited by 6,820 · see citing works
The gut microbiota as an environmental factor that regulates fat storage
Bäckhed, F., Ding, H., Wang, T., Hooper, L. V., Koh, G. Y., Nagy, A., Semenkovich, C. F., & Gordon, J. I. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0407076101 · Cited by 6,245 · see citing works
Obesity alters gut microbial ecology
Ley, R. E., Bäckhed, F., Turnbaugh, P., Lozupone, C. A., Knight, R. D., & Gordon, J. I. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504978102 · Cited by 6,176 · see citing works
Quality-filtering vastly improves diversity estimates from Illumina amplicon sequencing
Bokulich, N. A., Subramanian, S., Faith, J. J., Gevers, D., Gordon, J. I., Knight, R. D., Mills, D. A., & Caporaso, J. G. (2012) · Nature Methods · doi:10.1038/nmeth.2276 · Cited by 4,409 · see citing works
Gut microbiota in health and disease
Sekirov, I., Russell, S. L., Antunes, L. C. M., & Finlay, B. B. (2010) · Physiological Reviews · doi:10.1152/physrev.00045.2009 · Cited by 4,182 · see citing works
Bacterial Community Variation in Human Body Habitats Across Space and Time
Costello, E. K., Lauber, C. L., Hamady, M., Fierer, N., Gordon, J. I., & Knight, R. (2009) · Science · doi:10.1126/science.1177486 · Cited by 3,231 · see citing works
Jumpertz, R., Le, D. S., Turnbaugh, P. J., Trinidad, C., Bogardus, C., Gordon, J. I., & Krakoff, J. (2011) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.110.010132 · Cited by 1,232 · see citing works
Conserved shifts in the gut microbiota due to gastric bypass reduce host weight and adiposity
Liou, A. P., Paziuk, M., Luevano, J.-M., Machineni, S., Turnbaugh, P. J., & Kaplan, L. M. (2013) · Science Translational Medicine · doi:10.1126/scitranslmed.3005687 · Cited by 1,007 · see citing works
Microbial community profiling for human microbiome projects: Tools, techniques, and challengesPreprint
Hamady, M., & Knight, R. D. (2009) · Genome Research · doi:10.1101/gr.085464.108 · Cited by 998 · see citing works
Guinane, C. M., & Cotter, P. D. (2013) · Therapeutic Advances in Gastroenterology · doi:10.1177/1756283x13482996 · Cited by 846 · see citing works
Dewulf, E. M., Cani, P. D., Claus, S. P., Fuentes, S., Puylaert, P. G., Neyrinck, A. M., Bindels, L. B., de Vos, W. M., Gibson, G. R., Thissen, J.-P., et al. (2013) · Gut · doi:10.1136/gutjnl-2012-303304 · Cited by 825 · see citing works
Using QIIME to Analyze 16S rRNA Gene Sequences from Microbial Communities
Kuczynski, J., Stombaugh, J., Walters, W. A., González, A., Caporaso, J. G., & Knight, R. D. (2011) · Current Protocols in Bioinformatics · doi:10.1002/0471250953.bi1007s36 · Cited by 730 · see citing works
Gut Bifidobacteria Populations in Human Health and Aging
Arboleya, S., Watkins, C., Stanton, C., & Ross, R. P. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.01204 · Cited by 683 · see citing works
Using QIIME to Analyze 16S rRNA Gene Sequences from Microbial Communities
Kuczynski, J., Stombaugh, J., Walters, W. A., González, A., Caporaso, J. G., & Knight, R. D. (2012) · Current Protocols in Microbiology · doi:10.1002/9780471729259.mc01e05s27 · Cited by 661 · see citing works
Accurate taxonomy assignments from 16S rRNA sequences produced by highly parallel pyrosequencers
Liu, Z., DeSantis, T. Z., Andersen, G. L., & Knight, R. D. (2008) · Nucleic Acids Research · doi:10.1093/nar/gkn491 · Cited by 583 · see citing works
Primer and platform effects on 16S rRNA tag sequencing
Tremblay, J., Singh, K. P., Fern, A., Kirton, E., He, S., Woyke, T., Lee, J., Chen, F., Dangl, J. L., & Tringe, S. G. (2015) · Frontiers in Microbiology · doi:10.3389/fmicb.2015.00771 · Cited by 530 · see citing works
A renaissance for the pioneering 16S rRNA gene
Tringe, S. G., & Hugenholtz, P. (2008) · Current Opinion in Microbiology · doi:10.1016/j.mib.2008.09.011 · Cited by 509 · see citing works
Zoetendal, E. G., Vaughan, E. E., & de Vos, W. M. (2006) · Molecular Microbiology · doi:10.1111/j.1365-2958.2006.05056.x · Cited by 388 · see citing works
Xiao, S., Fei, N., Pang, X., Shen, J., Wang, L., Zhang, B., Zhang, M. H., Zhang, X., Zhang, C., Li, M., et al. (2013) · FEMS Microbiology Ecology · doi:10.1111/1574-6941.12228 · Cited by 376 · see citing works
Kennedy, N. A., Walker, A. W., Berry, S. H., Duncan, S. H., Farquarson, F. M., Louis, P., Thomson, J., surname):, O. M. N. N. W. T. M. A. L. (. B., Satsangi, J. J., Flint, H. J., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0088982 · Cited by 311 · see citing works
Fouhy, F., Clooney, A. G., Stanton, C., Claesson, M. J., & Cotter, P. D. (2016) · BMC Microbiology · doi:10.1186/s12866-016-0738-z · Cited by 310 · see citing works
Wesolowska-Andersen, A., Bahl, M. I., Carvalho, V., Kristiansen, K., Sicheritz-Pontén, T., Gupta, R., & Licht, T. R. (2014) · Microbiome · doi:10.1186/2049-2618-2-19 · Cited by 277 · see citing works
Walker, A. W., Martin, J. C., Scott, P., Parkhill, J., Flint, H. J., & Scott, K. P. (2015) · Microbiome · doi:10.1186/s40168-015-0087-4 · Cited by 273 · see citing works
Therapeutic modulation of intestinal dysbiosis
Walker, A. W., & Lawley, T. D. (2012) · Pharmacological Research · doi:10.1016/j.phrs.2012.09.008 · Cited by 197 · see citing works
Mackenzie, B. W., Waite, D. W., & Taylor, M. W. (2015) · Frontiers in Microbiology · doi:10.3389/fmicb.2015.00130 · Cited by 189 · see citing works
The intestinal microbiota in inflammatory bowel disease
Becker, C., Neurath, M. F., & Wirtz, S. (2015) · ILAR Journal · doi:10.1093/ilar/ilv030 · Cited by 185 · see citing works
Claassen-Weitz, S., du Toit, E., Kaba, M., Moodley, C., Zar, H. J., & Nicol, M. P. (2013) · Journal of Microbiological Methods · doi:10.1016/j.mimet.2013.05.008 · Cited by 174 · see citing works
Ariefdjohan, M. W., Savaiano, D. A., & Nakatsu, C. H. (2010) · Nutrition Journal · doi:10.1186/1475-2891-9-23 · Cited by 142 · see citing works
Maukonen, J., Simões, C., & Saarela, M. (2011) · FEMS Microbiology Ecology · doi:10.1111/j.1574-6941.2011.01257.x · Cited by 121 · see citing works
Metagenomic Surveys of Gut Microbiota
Mandal, R. S., Saha, S., & Das, S. (2015) · Genomics Proteomics & Bioinformatics · doi:10.1016/j.gpb.2015.02.005 · Cited by 117 · see citing works
Apajalahti, J., Kettunen, A., Nurminen, P. H., Jatila, H., & Holben, W. E. (2003) · Applied and Environmental Microbiology · doi:10.1128/aem.69.9.5731-5735.2003 · Cited by 90 · see citing works
Analysis of the intestinal microflora using molecular methods
Tannock, G. W. (2002) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1601661 · Cited by 80 · see citing works
Burbach, K., Seifert, J., Pieper, D. H., & Camarinha‐Silva, A. (2015) · MicrobiologyOpen · doi:10.1002/mbo3.312 · Cited by 70 · see citing works
Toll‐like receptor 5 in obesity: The role of gut microbiota and adipose tissue inflammation
Pekkala, S., Munukka, E., Kong, L., Pöllänen, E., Autio, R., Roos, C., Wiklund, P., Fischer‐Posovszky, P., Wabitsch, M., Alén, M., et al. (2015) · Obesity · doi:10.1002/oby.20993 · Cited by 65 · see citing works
Self-citationStarke, I. C., Vahjen, W., Pieper, R., & Zentek, J. (2014) · Molecular Biology International · doi:10.1155/2014/548683 · Cited by 21 · see citing works
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- Walker AW, Martin JC, Scott P, Parkhill J, Flint HJ, Scott KP. 16S rRNA gene-based profiling of the human infant gut microbiota is strongly influenced by sample processing and PCR primer choice. Microbiome 2015;3:26.
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Cornejo-Granados, F., Lopez-Zavala, A. A., Gallardo-Becerra, L., Mendoza-Vargas, A., Sánchez, F., Vichido, R., Brieba, L. G., Viana, M. T., Sotelo-Mundo, R. R., & Ochoa-Leyva, A. (2017) · Scientific Reports · doi:10.1038/s41598-017-11805-w · Cited by 302 · see citing works
d’Afflitto, M., Upadhyaya, A., Green, A., & Peiris, M. (2022) · Journal of Clinical Gastroenterology · doi:10.1097/mcg.0000000000001676 · Cited by 142 · see citing works
Han, D., Gao, P., Li, R., Tan, P., Xie, J., Zhang, R., & Li, J. (2020) · Journal of Advanced Research · doi:10.1016/j.jare.2020.07.010 · Cited by 93 · see citing works
Pekkala, S., Lensu, S., Nokia, M., Vanhatalo, S., Koch, L. G., Britton, S. L., & Kainulainen, H. (2017) · Physiological Genomics · doi:10.1152/physiolgenomics.00081.2017 · Cited by 16 · see citing works
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- Authors
- Rintala, A., Pietilä, S., Munukka, E., Eerola, E., Pursiheimo, J.-P., Laiho, A., Pekkala, S., & Huovinen, P.
- Affiliations
- University of Turku (FI)
- Turku Centre for Biotechnology (FI)
- University of Jyväskylä (FI)
- Corresponding author
- Rintala, Anniina
- Venue
- Journal of Biomolecular Techniques : JBT
- Published
- 2017-04
- Volume
- 28
- Issue
- 1
- Pages
- 19-30
- ISSN
- 1524-0215 (ISSN-L)
- 1943-4731
- PMC
- PMC5330390
- OpenAlex
- W2593416970
- Cited by
- 194
- References
- 45
- Citations by year
- 2026: 13 · 2025: 12 · 2024: 15 · 2023: 10 · 2022: 43 · 2021: 26 · 2020: 23 · 2019: 23 · 2018: 22 · 2017: 6
- FWCI
- 8.27
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Biomolecular Techniques JBT (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Turun Yliopistosäätiö
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
- Keywords
- gut microbiota, 16S rRNA gene, DNA extraction, V3-V4 region, V4-V5 region, fecal samples, microbiome sequencing, sample preparation optimization
- MeSH terms
- Gastrointestinal Microbiome, Adult, DNA, Bacterial, Feces, Humans, RNA, Ribosomal, 16S, Sequence Analysis, DNA, DNA Primers, Molecular Typing, High-Throughput Nucleotide Sequencing
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