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Moving pictures of the human microbiome
Open accessAbstract
BACKGROUND: Understanding the normal temporal variation in the human microbiome is critical to developing treatments for putative microbiome-related afflictions such as obesity, Crohn’s disease, inflammatory bowel disease and malnutrition. Sequencing and computational technologies, however, have been a limiting factor in performing dense time series analysis of the human microbiome. Here, we present the largest human microbiota time series analysis to date, covering two individuals at four body sites over 396 timepoints. RESULTS: We find that despite stable differences between body sites and individuals, there is pronounced variability in an individual’s microbiota across months, weeks and even days. Additionally, only a small fraction of the total taxa found within a single body site appear to be present across all time points, suggesting that no core temporal microbiome exists at high abundance (although some microbes may be present but drop below the detection threshold). Many more taxa appear to be persistent but non-permanent community members. CONCLUSIONS: DNA sequencing and computational advances described here provide the ability to go beyond infrequent snapshots of our human-associated microbial ecology to high-resolution assessments of temporal variations over protracted periods, within and between body habitats and individuals. This capacity will allow us to define normal variation and pathologic states, and assess responses to therapeutic interventions.
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![Figure 1 Principal coordinates analysis of unweighted UniFrac distances between samples. (a) Costello et al. [6] samples. (b) M3, F4 time series samples. (c) M3, F4 time series, PC1 versus time (days). Panels (a,b) and (c) show two independent principal coordinates analyses. To compare the Costello et al. 454 data (a) with the time series Illumina data (b), these data were generated in a single principal coordinates analysis of UniFrac distances at 500 sequences per sample. Panel (c) does not contain the 454 data, so makes use of the increased sampling depth possible on Illumina (evenly sampled to 5,000 sequences per sample for UniFrac calculations).](/paper-figures/601978f4a5f14dce850c1ad072f786d6/moving-pictures-of-the-human-microbiome-figure-1.jpg)


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“the fine structure of the healthy microbiota seems to be unique to individuals; intra-individual differences across time are typically much smaller than differences between individuals (Caporaso et al., 2011;Costello et al., 2009).”
From The Microbiota-Gut-Brain Axis (2019) · cites this paper as Caporaso et al., 2011
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Search and clustering orders of magnitude faster than BLAST
Edgar, R. C. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq461 · Cited by 21,098
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
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
Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample
Caporaso, J. G., Lauber, C. L., Walters, W. A., Berg-Lyons, D., Lozupone, C., Turnbaugh, P. J., Fierer, N., & Knight, R. D. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1000080107 · Cited by 9,944
Self-citationDiversity 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
A core gut microbiome in obese and lean twins
Turnbaugh, P. J., Hamady, M., Yatsunenko, T., Cantarel, B. L., Duncan, A., Ley, R. E., Sogin, M. L., Jones, W. J., Roe, B. A., Affourtit, J. P., et al. (2009) · Nature · doi:10.1038/nature07540 · Cited by 7,823
Self-citationVaginal microbiome of reproductive-age women
Ravel, J., Gajer, P., Abdo, Z., Schneider, G. M., Koenig, S. S. K., McCulle, S. L., Karlebach, S., Gorle, R., Russell, J., Tacket, C. O., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1002611107 · Cited by 4,254
Self-citationBacterial 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
Self-citationThe Effect of Diet on the Human Gut Microbiome: A Metagenomic Analysis in Humanized Gnotobiotic Mice
Turnbaugh, P. J., Ridaura, V. K., Faith, J. J., Rey, F. E., Knight, R., & Gordon, J. I. (2009) · Science Translational Medicine · doi:10.1126/scitranslmed.3000322 · Cited by 3,058 · cited 2×
“…together, our observations paint a picture of a human microbiome that is highly variable over time (Figures 2 and 3; Additional files 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15), but from which stable patterns of similarities and differences among body habitats and individuals emerge (Figure…”
BackgroundSelf-citationDevelopment of the Human Infant Intestinal Microbiota
Palmer, C., Bik, E. M., DiGiulio, D. B., Relman, D. A., & Brown, P. O. (2007) · PLoS Biology · doi:10.1371/journal.pbio.0050177 · Cited by 2,877
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Hill (2014) · doi:10.1038/nrgastro.2014.66 · Cited by 9,592
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
Self-citationDiversity, stability and resilience of the human gut microbiota
Lozupone, C. A., Stombaugh, J. I., Gordon, J. I., Jansson, J. K., & Knight, R. (2012) · Nature · doi:10.1038/nature11550 · Cited by 5,533
Self-citationCryan, J. F., O'Riordan, K. J., Cowan, C. S. M., Sandhu, K. V., Bastiaanssen, T. F. S., Boehme, M., Codagnone, M. G., Cussotto, S., Fulling, C., Golubeva, A. V., et al. (2019) · Physiological Reviews · doi:10.1152/physrev.00018.2018 · Cited by 5,286
Microbial interactions: from networks to models
Faust, K., & Raes, J. (2012) · Nature Reviews Microbiology · doi:10.1038/nrmicro2832 · Cited by 4,268
Proteobacteria: Microbial signature of dysbiosis in gut microbiota
Shin, N.-R., Whon, T. W., & Bae, J.-W. (2015) · Trends in Biotechnology · doi:10.1016/j.tibtech.2015.06.011 · Cited by 3,954
The impact of the gut microbiota on human health: an integrative view
Clemente, J. C., Ursell, L. K., Parfrey, L. W., & Knight, R. (2012) · Cell · doi:10.1016/j.cell.2012.01.035 · Cited by 3,710
Self-citationEnvironment dominates over host genetics in shaping human gut microbiota
Rothschild, D., Weissbrod, O., Barkan, E., Kurilshikov, A., Korem, T., Zeevi, D., Costea, P. I., Godneva, A., Kalka, I. N., Bar, N., et al. (2018) · Nature · doi:10.1038/nature25973 · Cited by 2,859
Current understanding of the human microbiome
Gilbert, J. A., Blaser, M. J., Caporaso, J. G., Jansson, J. K., Lynch, S. V., & Knight, R. (2018) · Nature Medicine · doi:10.1038/nm.4517 · Cited by 2,609
Self-citationNormalization and microbial differential abundance strategies depend upon data characteristics
Weiss, S. J., Xu, Z. Z., Peddada, S. D., Amir, A., Bittinger, K. L., González, A., Lozupone, C., Zaneveld, J., Vázquez‐Baeza, Y., Birmingham, A., et al. (2017) · Microbiome · doi:10.1186/s40168-017-0237-y · Cited by 2,231
Self-citationThe Long-Term Stability of the Human Gut Microbiota
Faith, J. J., Guruge, J. L., Charbonneau, M., Subramanian, S., Seedorf, H., Goodman, A. L., Clemente, J. C., Knight, R., Heath, A. C., Leibel, R. L., et al. (2013) · Science · doi:10.1126/science.1237439 · Cited by 2,058
Self-citationIntestinal permeability – a new target for disease prevention and therapy
Bischoff, S. C., Barbara, G., Buurman, W., Ockhuizen, T., Schulzke, J.-D., Serino, M., Tilg, H., Watson, A., & Wells, J. M. (2014) · BMC Gastroenterology · doi:10.1186/s12876-014-0189-7 · Cited by 1,755
Schwabe, R. F., & Jobin, C. (2013) · Nature Reviews Cancer · doi:10.1038/nrc3610 · Cited by 1,689
The Application of Ecological Theory Toward an Understanding of the Human Microbiome
Costello, E. K., Stagaman, K., Dethlefsen, L., Bohannan, B. J. M., & Relman, D. A. (2012) · Science · doi:10.1126/science.1224203 · Cited by 1,437
Self-citationMicrobial co-occurrence relationships in the human microbiome
Faust, K., Sathirapongsasuti, J. F., Izard, J., Segata, N., Gevers, D., Raes, J., & Huttenhower, C. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002606 · Cited by 1,527
The gut-liver axis and the intersection with the microbiome
Tripathi, A., Debelius, J., Brenner, D. A., Karin, M., Loomba, R., Schnabl, B., & Knight, R. (2018) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-018-0011-z · Cited by 1,480
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Koropatkin, N. M., Cameron, E. A., & Martens, E. C. (2012) · Nature Reviews Microbiology · doi:10.1038/nrmicro2746 · Cited by 1,419
Ursell, L. K., Metcalf, J. L., Parfrey, L. W., & Knight, R. (2012) · Nutrition Reviews · doi:10.1111/j.1753-4887.2012.00493.x · Cited by 1,255
Self-citationEcology and exploration of the rare biosphere
Lynch, M. D. J., & Neufeld, J. D. (2015) · Nature Reviews Microbiology · doi:10.1038/nrmicro3400 · Cited by 1,313
Dynamics of the human gut microbiome in inflammatory bowel disease
Halfvarson, J., Brislawn, C. J., Lamendella, R., Vázquez-Baeza, Y., Walters, W. A., Bramer, L. M., D'Amato, M., Bonfiglio, F., McDonald, D., Gonzalez, A., et al. (2017) · Nature Microbiology · doi:10.1038/nmicrobiol.2017.4 · Cited by 1,204
Self-citationEnterotypes in the landscape of gut microbial community composition
Costea, P. I., Hildebrand, F., Arumugam, M., Bäckhed, F., Blaser, M. J., Bushman, F. D., de Vos, W. M., Ehrlich, S. D., Fraser, C. M., Hattori, M., et al. (2017) · Nature Microbiology · doi:10.1038/s41564-017-0072-8 · Cited by 1,138
Self-citationEMPeror: a tool for visualizing high-throughput microbial community data
Vázquez‐Baeza, Y., Pirrung, M., Gonzalez, A., & Knight, R. D. (2013) · GigaScience · doi:10.1186/2047-217x-2-16 · Cited by 1,292
Self-citationManichanh, C., Borruel, N., Casellas, F., & Guarner, F. (2012) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2012.152 · Cited by 1,160
Probiotics, gut microbiota, and their influence on host health and disease
Sánchez, B., Delgado, S., Blanco‐Míguez, A., Lourenço, A., Gueimonde, M., & Margolles, A. (2017) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201600240 · Cited by 1,104
Cohabiting family members share microbiota with one another and with their dogs
Song, S. J., Lauber, C. L., Costello, E. K., Lozupone, C., Humphrey, G., Berg-Lyons, D., Caporaso, J. G., Knights, D., Clemente, J. C., Nakielny, S., et al. (2013) · eLife · doi:10.7554/elife.00458 · Cited by 1,120
Self-citationGut microbes and the brain: paradigm shift in neuroscience
Mayer, E. A., Knight, R., Mazmanian, S. K., Cryan, J. F., & Tillisch, K. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.3299-14.2014 · Cited by 1,033
Self-citationThe resilience of the intestinal microbiota influences health and disease
Sommer, F., Anderson, J. M., Bharti, R., Raes, J., & Rosenstiel, P. (2017) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2017.58 · Cited by 1,058
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Oh, J., Byrd, A. L., Park, M., Kong, H. H., & Segre, J. A. (2016) · Cell · doi:10.1016/j.cell.2016.04.008 · Cited by 1,036
Genomic variation landscape of the human gut microbiome
Schloissnig, S., Arumugam, M., Sunagawa, S., Mitreva, M., Tap, J., Zhu, A., Waller, A., Mende, D. R., Kultima, J. R., Martin, J., et al. (2013) · Nature · doi:10.1038/nature11711 · Cited by 907
Host lifestyle affects human microbiota on daily timescales
David, L. A., Materna, A. C., Friedman, J., Campos-Baptista, M. I., Blackburn, M. C., Perrotta, A., Erdman, S. E., & Alm, E. J. (2014) · Genome biology · doi:10.1186/gb-2014-15-7-r89 · Cited by 950
The gut microbiome: Relationships with disease and opportunities for therapy
Durack, J., & Lynch, S. V. (2018) · The Journal of Experimental Medicine · doi:10.1084/jem.20180448 · Cited by 979
McDonald, D. T., Clemente, J. C., Kuczynski, J., Rideout, J. R., Stombaugh, J., Wendel, D., Wilke, A., Huse, S. M., Hufnagle, J., Meyer, F., et al. (2012) · GigaScience · doi:10.1186/2047-217x-1-7 · Cited by 908
Self-citationCorrelation detection strategies in microbial data sets vary widely in sensitivity and precision
Weiss, S. J., Treuren, W. V., Lozupone, C., Faust, K., Friedman, J., Deng, Y., Xia, L. C., Xu, Z. Z., Ursell, L. K., Alm, E. J., et al. (2016) · The ISME Journal · doi:10.1038/ismej.2015.235 · Cited by 868
Self-citationGuinane, C. M., & Cotter, P. D. (2013) · Therapeutic Advances in Gastroenterology · doi:10.1177/1756283x13482996 · Cited by 884
Lagier, J., Hugon, P., Khelaifia, S., Fournier, P., Scola, B. L., & Raoult, D. (2015) · Clinical Microbiology Reviews · doi:10.1128/cmr.00014-14 · Cited by 876
Learning in Nonstationary Environments: A Survey
Ditzler, G., Roveri, M., Alippi, C., & Robi Polikar, A. (2015) · IEEE Computational Intelligence Magazine · doi:10.1109/mci.2015.2471196 · Cited by 833
Adapt to more wildfire in western North American forests as climate changes
Schoennagel, T., Balch, J. K., Brenkert-Smith, H., Dennison, P. E., Harvey, B. J., Krawchuk, M. A., Mietkiewicz, N., Morgan, P., Moritz, M. A., Rasker, R., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1617464114 · Cited by 774
High-Fat, Western-Style Diet, Systemic Inflammation, and Gut Microbiota: A Narrative Review
Malesza, I. J., Malesza, M., Walkowiak, J., Mussin, N. M., Walkowiak, D., Aringazina, R. A., Bartkowiak-Wieczorek, J., & Mądry, E. (2021) · Cells · doi:10.3390/cells10113164 · Cited by 847
The human microbiome: Our second genome
Grice, E. A., & Segre, J. A. (2012) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-090711-163814 · Cited by 759
Olsson, L., Jerneck, A., Thorén, H., Persson, J., & O’Byrne, D. (2015) · Science Advances · doi:10.1126/sciadv.1400217 · Cited by 847
Conditionally Rare Taxa Disproportionately Contribute to Temporal Changes in Microbial Diversity
Shade, A. L., Jones, S. E., Caporaso, J. G., Handelsman, J., Knight, R. D., Fierer, N., & Gilbert, J. A. (2014) · mBio · doi:10.1128/mbio.01371-14 · Cited by 756
Self-citationSequencing and beyond: integrating molecular 'omics' for microbial community profiling
Franzosa, E. A., Hsu, T. Y., Sirota‐Madi, A., Shafquat, A., Abu-Ali, G., Morgan, X. C., & Huttenhower, C. (2015) · Nature Reviews Microbiology · doi:10.1038/nrmicro3451 · Cited by 761
Goodrich, J. K., Di Rienzi, S. C., Poole, A. C., Koren, O., Walters, W. A., Caporaso, J. G., Knight, R., & Ley, R. E. (2014) · Cell · doi:10.1016/j.cell.2014.06.037 · Cited by 714
Self-citationExperimental and analytical tools for studying the human microbiome
Kuczynski, J., Lauber, C. L., Walters, W. A., Parfrey, L. W., Clemente, J. C., Gevers, D., & Knight, R. D. (2011) · Nature Reviews Genetics · doi:10.1038/nrg3129 · Cited by 729
Self-citationWang, J., Thingholm, L. B., Skiecevičienė, J., Rausch, P., Kummen, M., Hov, J. R., Degenhardt, F., Heinsen, F.-A., Rühlemann, M. C., Szymczak, S., et al. (2016) · Nature Genetics · doi:10.1038/ng.3695 · Cited by 625
Current and Past Strategies for Bacterial Culture in Clinical Microbiology
Lagier, J., Edouard, S., Pagnier, I., Mediannikov, O., Drancourt, M., & Raoult, D. (2015) · Clinical Microbiology Reviews · doi:10.1128/cmr.00110-14 · Cited by 657
The composition of the zebrafish intestinal microbial community varies across development
Stephens, W. Z., Burns, A. R., Stagaman, K., Wong, S., Rawls, J. F., Guillemin, K. J., & Bohannan, B. J. M. (2015) · The ISME Journal · doi:10.1038/ismej.2015.140 · Cited by 658
Stein, R. R., Bucci, V., Toussaint, N. C., Buffie, C. G., Rätsch, G., Pamer, E. G., Sander, C., & Xavier, J. B. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003388 · Cited by 637
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Neu, A. T., Allen, E. E., & Roy, K. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2104429118 · Cited by 653
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Rideout, J. R., He, Y., Navas-Molina, J. A., Walters, W. A., Ursell, L. K., Gibbons, S. M., Chase, J., McDonald, D. T., Gonzalez, A., Robbins‐Pianka, A., et al. (2014) · PeerJ · doi:10.7717/peerj.545 · Cited by 575
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Koren, O., Knights, D., Gonzalez, A., Waldron, L., Segata, N., Knight, R., Huttenhower, C., & Ley, R. E. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002863 · Cited by 508
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Barrett, C. B., & Constas, M. A. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1320880111 · Cited by 534
Advances in inflammatory bowel disease pathogenesis: linking host genetics and the microbiome
Knights, D., Lassen, K. G., & Xavier, R. J. (2013) · Gut · doi:10.1136/gutjnl-2012-303954 · Cited by 468
Self-citationThe role of the gut microbiome in the healthy adult status
D’Argenio, V., & Salvatore, F. (2015) · Clinica Chimica Acta · doi:10.1016/j.cca.2015.01.003 · Cited by 492
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Zengler, K., & Zaramela, L. S. (2018) · Nature Reviews Microbiology · doi:10.1038/s41579-018-0004-5 · Cited by 459
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Xu, Z., & Knight, R. (2015) · British Journal Of Nutrition · doi:10.1017/s0007114514004127 · Cited by 456
Self-citationData mining in the Life Sciences with Random Forest: a walk in the park or lost in the jungle?
Touw, W. G., Bayjanov, J. R., Overmars, L., Backus, L., Boekhorst, J., Wels, M., & van Hijum, S. A. F. T. (2012) · Briefings in Bioinformatics · doi:10.1093/bib/bbs034 · Cited by 463
Cui, L., Guan, X., Ding, W., Luo, Y., Wang, W., Bu, W., Song, J., Tan, X., Sun, E., Ning, Q. X., et al. (2020) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2020.10.259 · Cited by 469
Temporal variability is a personalized feature of the human microbiome
Flores, G. E., Caporaso, J. G., Henley, J. B., Rideout, J. R., Domogala, D., Chase, J., Leff, J. W., Vázquez-Baeza, Y., Gonzalez, A., Knight, R., et al. (2014) · Genome Biology · doi:10.1186/s13059-014-0531-y · Cited by 446
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Reyes, A., Semenkovich, N. P., Whiteson, K., Rohwer, F. L., & Gordon, J. I. (2012) · Nature Reviews Microbiology · doi:10.1038/nrmicro2853 · Cited by 449
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Lozupone, C. A., Stombaugh, J., Gonzalez, A., Ackermann, G., Wendel, D., Vázquez-Baeza, Y., Jansson, J. K., Gordon, J. I., & Knight, R. (2013) · Genome Research · doi:10.1101/gr.151803.112 · Cited by 424
Self-citationKnights, D., Ward, T. L., McKinlay, C. E., Miller, H., Gonzalez, A., McDonald, D., & Knight, R. (2014) · Cell Host & Microbe · doi:10.1016/j.chom.2014.09.013 · Cited by 396
Self-citationMarcos-Zambrano, L. J., Karađuzović-Hadžiabdić, K., Lončar-Turukalo, T., Przymus, P., Trajkovik, V., Aasmets, O., Berland, M., Gruca, A., Telalović, J. H., Hron, K., et al. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.634511 · Cited by 447
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Bowers, R. M., Clements, N. S., Emerson, J., Wiedinmyer, C., Hannigan, M., & Fierer, N. (2013) · Environmental Science & Technology · doi:10.1021/es402970s · Cited by 440
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Baquero, F., & Nombela, C. (2012) · Clinical Microbiology and Infection · doi:10.1111/j.1469-0691.2012.03916.x · Cited by 446
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Self-citation
Metadata
- Authors
- Caporaso, J. G., Lauber, C. L., Costello, E. K., Berg-Lyons, D., Gonzalez, A., Stombaugh, J., Knights, D., Gajer, P., Ravel, J., Fierer, N., Gordon, J. I., & Knight, R.
- Affiliations
- University of Colorado Boulder (US)
- Cooperative Institute for Research in Environmental Sciences (US)
- Stanford Medicine (US)
- University of Maryland, Baltimore (US)
- Washington University in St. Louis (US)
- Howard Hughes Medical Institute (US)
- Corresponding author
- Knight, Rob
- ORCID
- Venue
- Genome Biology
- Published
- 2011-05-30
- Volume
- 12
- Issue
- 5
- Pages
- R50-R50
- ISSN
- 1465-6906 (ISSN-L)
- 1474-760X
- PMC
- PMC3271711
- OpenAlex
- W2126218947
- Cited by
- 1,138
- References
- 21
- Citations by year
- 2026: 25 · 2025: 50 · 2024: 69 · 2023: 80 · 2022: 68 · 2021: 88 · 2020: 102 · 2019: 93 · 2018: 83 · 2017: 84 · 2016: 78 · 2015: 79 · 2014: 78 · 2013: 82 · 2012: 61
- FWCI
- 30.93
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Genome biology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Digital Commons@Becker (Washington University School of Medicine) (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- Bill and Melinda Gates Foundation
- Crohn's and Colitis Foundation of America
- Amazon Web Services
- Crohn's and Colitis Foundation
- National Institutes of Health (5u01ai070921-07, DK078669)
- National Human Genome Research Institute (R01HG004872, HG004872, HG004872-02S1)
- National Institute of Allergy and Infectious Diseases (AI070921, AI083264, UH2AI083264)
- National Institute of Diabetes and Digestive and Kidney Diseases (DK078669, P01DK078669)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Keywords
- human microbiome, temporal variation, core microbiome, microbial community dynamics, body site differences, interindividual variability, microbiome sequencing
- MeSH terms
- Bacteria, Computer Simulation, Humans, Obesity, Organ Specificity, RNA, Ribosomal, 16S, Seasons, Time Factors, Inflammatory Bowel Diseases, Genomics, Gastrointestinal Tract, Metagenome, High-Throughput Nucleotide Sequencing
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