The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Figures
![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)


Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“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
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Cited by
Sorted by citations
Items 101–200 of 1,000
McBurney, M. I., Davis, C. D., Fraser, C. M., Schneeman, B. O., Huttenhower, C., Verbeke, K., Walter, J., & Latulippe, M. E. (2019) · Journal of Nutrition · doi:10.1093/jn/nxz154 · Cited by 296
Environmental remodeling of human gut microbiota and antibiotic resistome in livestock farms
Sun, J. G., Liao, X., D’Souza, A. W., Boolchandani, M., Li, S., Cheng, K., Martínez, J. L., Li, L., Feng, Y.-J., Fang, L., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-15222-y · Cited by 287
Role of microbial communities in the pathogenesis of periodontal diseases and caries
Mira, Á., Simón‐Soro, Á., & Curtis, M. A. (2017) · Journal Of Clinical Periodontology · doi:10.1111/jcpe.12671 · Cited by 296
Stability of the human faecal microbiome in a cohort of adult men
Mehta, R. S., Abu-Ali, G. S., Drew, D. A., Lloyd-Price, J., Subramanian, A., Lochhead, P., Joshi, A. D., Ivey, K. L., Khalili, H., Brown, G. T., et al. (2018) · Nature Microbiology · doi:10.1038/s41564-017-0096-0 · Cited by 273
Shaw, K. A., Bertha, M., Hofmekler, T., Chopra, P., Vatanen, T., Srivatsa, A., Prince, J., Kumar, A., Sauer, C. G., Zwick, M. E., et al. (2016) · Genome Medicine · doi:10.1186/s13073-016-0331-y · Cited by 278
Unlocking the potential of metagenomics through replicated experimental design
Knight, R. D., Jansson, J. K., Field, D., Fierer, N., Desai, N., Fuhrman, J. A., Hugenholtz, P., van der Lelie, D., Meyer, F., Stevens, R. L., et al. (2012) · Nature Biotechnology · doi:10.1038/nbt.2235 · Cited by 294
Self-citationAssembly and seasonality of core phyllosphere microbiota on perennial biofuel crops
Grady, K. L., Sorensen, J. W., Stopnišek, N., Guittar, J. L., & Shade, A. L. (2019) · Nature Communications · doi:10.1038/s41467-019-11974-4 · Cited by 282
The Role of Gut Microbiota on Insulin Resistance
Caricilli, A. M., & Saad, M. A. (2013) · Nutrients · doi:10.3390/nu5030829 · Cited by 285
Universality of human microbial dynamics
Bashan, A., Gibson, T. E., Friedman, J., Carey, V. J., Weiss, S. T., Hohmann, E. L., & Liu, Y.-Y. (2016) · Nature · doi:10.1038/nature18301 · Cited by 270
Analyses of the Microbial Diversity across the Human Microbiome
Li, K., Bihan, M., Yooseph, S., & Methé, B. A. (2012) · PLoS ONE · doi:10.1371/journal.pone.0032118 · Cited by 282
Long‐term monitoring of the human intestinal microbiota composition
Rajilić-Stojanović, M. D., Heilig, H. G. H. J., Tims, S., Zoetendal, E. G., & de Vos, W. M. (2012) · Environmental Microbiology · doi:10.1111/1462-2920.12023 · Cited by 286
Abundance-occupancy distributions to prioritize plant core microbiome membership
Shade, A. L., & Stopnišek, N. (2019) · Current Opinion in Microbiology · doi:10.1016/j.mib.2019.09.008 · Cited by 268
Xue, Z., Zhang, W., Wang, L., Hou, R., Zhang, M. H., Fei, L., Zhang, X., Huang, H., Bridgewater, L. C., Jiang, Y., et al. (2015) · mBio · doi:10.1128/mbio.00022-15 · Cited by 270
The Protective Role of Butyrate against Obesity and Obesity-Related Diseases
Coppola, S., Avagliano, C., Calignano, A., & Canani, R. B. (2021) · Molecules · doi:10.3390/molecules26030682 · Cited by 272
Shetty, S. A., Hugenholtz, F., Lahti, L., Smidt, H., & de Vos, W. M. (2016) · FEMS Microbiology Reviews · doi:10.1093/femsre/fuw045 · Cited by 256
Ying, S., Zeng, D.-N., Chi, L., Tan, Y., Galzote, C., Cardona, C., Lax, S. M., Gilbert, J. A., & Quan, Z. (2015) · PLoS ONE · doi:10.1371/journal.pone.0141842 · Cited by 258
Disbiome database: linking the microbiome to disease
Janssens, Y., Nielandt, J., Bronselaer, A., Debunne, N., Verbeke, F., Wynendaele, E., Immerseel, F. V., Vandewynckel, Y., Tré, G. D., & Spiegeleer, B. D. (2018) · BMC Microbiology · doi:10.1186/s12866-018-1197-5 · Cited by 253
Data analysis for 16S microbial profiling from different benchtop sequencing platforms
Pylro, V. S., Roesch, L. F. W., Morais, D., Clark, I. M., Hirsch, P. R., & Tótola, M. R. (2014) · Journal of Microbiological Methods · doi:10.1016/j.mimet.2014.08.018 · Cited by 247
Practical considerations for large-scale gut microbiome studies
Vandeputte, D., Tito, R. Y., Vanleeuwen, R., Falony, G., & Raes, J. (2017) · FEMS Microbiology Reviews · doi:10.1093/femsre/fux027 · Cited by 243
Martens, E. C., Kelly, A. G., Tauzin, A. S., & Brumer, H. (2014) · Journal of Molecular Biology · doi:10.1016/j.jmb.2014.06.022 · Cited by 235
The impact of skin care products on skin chemistry and microbiome dynamics
Bouslimani, A., da Silva, R., Kosciolek, T., Janssen, S., Callewaert, C., Amir, A., Dorrestein, K., Melnik, A. V., Zaramela, L. S., Kim, J.-N., et al. (2019) · BMC Biology · doi:10.1186/s12915-019-0660-6 · Cited by 234
Self-citationSteadyCom: Predicting microbial abundances while ensuring community stability
Chan, S. H. J., Simons, M., & Maranas, C. D. (2017) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005539 · Cited by 244
Interactions in the microbiome: communities of organisms and communities of genes
Boon, E., Meehan, C. J., Whidden, C., Wong, D. H.-J., Langille, M. G. I., & Beiko, R. G. (2013) · FEMS Microbiology Reviews · doi:10.1111/1574-6976.12035 · Cited by 239
Shaiber, A., Willis, A. D., Delmont, T. O., Roux, S., Chen, L.-X., Schmid, A. C., Yousef, M., Watson, A. R., Lolans, K., Esen, Ö. C., et al. (2020) · Genome biology · doi:10.1186/s13059-020-02195-w · Cited by 236
Fungal-Bacterial Interactions in Health and Disease
Krüger, W., Vielreicher, S., Kapitan, M., Jacobsen, I. D., & Niemiec, M. J. (2019) · Pathogens · doi:10.3390/pathogens8020070 · Cited by 234
Hall, M. W., Singh, N., Ng, K. F., Lam, D. K., Goldberg, M. B., Tenenbaum, H. C., Neufeld, J. D., G. Beiko, R., & Senadheera, D. B. (2017) · npj Biofilms and Microbiomes · doi:10.1038/s41522-016-0011-0 · Cited by 226
Yang, S.-S., Wu, W., Brandon, A. M., Fan, H., Receveur, J. P., Li, Y., Wang, Z., Fan, R., McClellan, R. L., Gao, S.-H., et al. (2018) · Chemosphere · doi:10.1016/j.chemosphere.2018.08.078 · Cited by 230
Macia, L., Thorburn, A. N., Binge, L. C., Mariño, E., Rogers, K. E., Maslowski, K. M., Vieira, A. T., Kranich, J., & Mackay, C. R. (2011) · Immunological Reviews · doi:10.1111/j.1600-065x.2011.01080.x · Cited by 227
Ecosystem heterogeneity determines the ecological resilience of the Amazon to climate change
Levine, N. M., Zhang, K., Longo, M., Baccini, A., Phillips, O. L., Lewis, S. L., Alvarez-Dávila, E., Segalin de Andrade, A. C., Brienen, R. J. W., Erwin, T. L., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1511344112 · Cited by 225
Probabilistic Invasion Underlies Natural Gut Microbiome Stability
Obadia, B., Güvener, Z. T., Zhang, V., Ceja-Navarro, J. A., Brodie, E., Ja, W. W., & Ludington, W. B. (2017) · Current Biology · doi:10.1016/j.cub.2017.05.034 · Cited by 216
Lee, S., Keirsey, K. I., Kirkland, R. A., Grunewald, Z. I., Fischer, J. G., & Serre, C. B. D. L. (2018) · Journal of Nutrition · doi:10.1093/jn/nxx027 · Cited by 228
Homeostasis and dysbiosis of the gut microbiome in health and disease
Das, B., & Nair, G. B. (2019) · Journal of Biosciences · doi:10.1007/s12038-019-9926-y · Cited by 225
The Western English Channel contains a persistent microbial seed bank
Caporaso, J. G., Paszkiewicz, K. H., Field, D., Knight, R. D., & Gilbert, J. A. (2011) · The ISME Journal · doi:10.1038/ismej.2011.162 · Cited by 221
Self-citationDiversity, distribution and sources of bacteria in residential kitchens
Flores, G. E., Bates, S. T., Caporaso, J. G., Lauber, C. L., Leff, J., Knight, R. D., & Fierer, N. (2012) · Environmental Microbiology · doi:10.1111/1462-2920.12036 · Cited by 227
Self-citationMalik, M. A., Suboc, T. M. B., Tyagi, S., Salzman, N. H., Wang, J., Ying, R., Tanner, M. J., Kakarla, M., Baker, J. E., & Widlansky, M. E. (2018) · Circulation Research · doi:10.1161/circresaha.118.313565 · Cited by 230
Gerber, G. K. (2014) · FEBS Letters · doi:10.1016/j.febslet.2014.02.037 · Cited by 219
Vandeputte, D., Commer, L. D., Tito, R. Y., Kathagen, G., Sabino, J., Vermeire, S., Faust, K., & Raes, J. (2021) · Nature Communications · doi:10.1038/s41467-021-27098-7 · Cited by 222
Shakya, M., Quince, C., Campbell, J. H., Yang, Z. K., Schadt, C. W., & Podar, M. (2013) · Environmental Microbiology · doi:10.1111/1462-2920.12086 · Cited by 221
Host Gut Motility Promotes Competitive Exclusion within a Model Intestinal Microbiota
Wiles, T. J., Jemielita, M., Baker, R. P., Schlomann, B. H., Logan, S. L., Ganz, J., Melançon, E., Eisen, J. S., Guillemin, K. J., & Parthasarathy, R. (2016) · PLoS Biology · doi:10.1371/journal.pbio.1002517 · Cited by 213
The Human Microbiome: From Symbiosis to Pathogenesis
Eloe‐Fadrosh, E. A., & Rasko, D. A. (2013) · Annual Review of Medicine · doi:10.1146/annurev-med-010312-133513 · Cited by 227
Probst, A. J., Auerbach, A. K., & Moissl‐Eichinger, C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0065388 · Cited by 218
The Microbiome of the Middle Meatus in Healthy Adults
Ramakrishnan, V. R., Feazel, L. M., Gitomer, S. A., Ir, D., Robertson, C. E., & Frank, D. N. (2013) · PLoS ONE · doi:10.1371/journal.pone.0085507 · Cited by 209
Species abundance information improves sequence taxonomy classification accuracy
Kaehler, B. D., Bokulich, N. A., McDonald, D. T., Knight, R. D., Caporaso, J. G., & Huttley, G. A. (2019) · Nature Communications · doi:10.1038/s41467-019-12669-6 · Cited by 218
Self-citationOverview and systematic review of studies of microbiome in schizophrenia and bipolar disorder
Nguyen, T. T., Kościółek, T., Eyler, L. T., Knight, R. D., & Jeste, D. V. (2018) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2018.01.013 · Cited by 216
Self-citationCross-biome comparison of microbial association networks
Faust, K., Lima‐Mendez, G., Lerat, J., Sathirapongsasuti, J. F., Knight, R. D., Huttenhower, C., Lenaerts, T., & Raes, J. (2015) · Frontiers in Microbiology · doi:10.3389/fmicb.2015.01200 · Cited by 210
Self-citationInterpreting 16S metagenomic data without clustering to achieve sub-OTU resolution
Tikhonov, M., Leach, R. W., & Wingreen, N. S. (2014) · The ISME Journal · doi:10.1038/ismej.2014.117 · Cited by 207
Recent Advances in Characterizing the Gastrointestinal Microbiome in Crohnʼs Disease
Wright, E. K., Kamm, M. A., Teo, S. M., Inouye, M., Wagner, J., & Kirkwood, C. D. (2015) · Inflammatory Bowel Diseases · doi:10.1097/mib.0000000000000382 · Cited by 219
Tools for Analysis of the Microbiome
Galloway-Peña, J., & Hanson, B. (2020) · Digestive Diseases and Sciences · doi:10.1007/s10620-020-06091-y · Cited by 234
Degnan, P. H., Pusey, A. E., Lonsdorf, E. V., Goodall, J. R., Wroblewski, E. E., Wilson, M. L., Rudicell, R. S., Hahn, B. H., & Ochman, H. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1110994109 · Cited by 200
Therapeutic modulation of intestinal dysbiosis
Walker, A. W., & Lawley, T. D. (2012) · Pharmacological Research · doi:10.1016/j.phrs.2012.09.008 · Cited by 209
The subgingival periodontal microbiota of the aging mouth
Feres, M., Teles, F., Teles, R. P., Figueiredo, L. C., & Faveri, M. (2016) · Periodontology 2000 · doi:10.1111/prd.12136 · Cited by 213
Stahringer, S. S., Clemente, J. C., Corley, R. P., Hewitt, J., Knights, D., Walters, W. A., Knight, R., & Krauter, K. S. (2012) · Genome Research · doi:10.1101/gr.140608.112 · Cited by 180
Self-citationMika, A., Van Treuren, W., González, A., Herrera, J. J., Knight, R., & Fleshner, M. (2015) · PLOS ONE · doi:10.1371/journal.pone.0125889 · Cited by 197
Self-citationMackenzie, B. W., Waite, D. W., & Taylor, M. W. (2015) · Frontiers in Microbiology · doi:10.3389/fmicb.2015.00130 · Cited by 200
A Review and Tutorial of Machine Learning Methods for Microbiome Host Trait Prediction
Zhou, Y., & Gallins, P. J. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00579 · Cited by 198
A holistic view of marine regime shifts
Conversi, A., Dakos, V., Gårdmark, A., Ling, S., Folke, C., Mumby, P. J., Greene, C. H., Edwards, M., Blenckner, T., Casini, M., et al. (2014) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2013.0279 · Cited by 210
Oral Microbial Profile Discriminates Breast‐fed From Formula‐fed Infants
Holgerson, P. L., Vestman, N. R., Claesson, R., Öhman, C., Domellöf, M., Tanner, A. C. R., Hernell, O., & Johansson, I. (2012) · Journal of Pediatric Gastroenterology and Nutrition · doi:10.1097/mpg.0b013e31826f2bc6 · Cited by 198
Modelling approaches for studying the microbiome
Kumar, M., Ji, B., Zengler, K., & Nielsen, J. (2019) · Nature Microbiology · doi:10.1038/s41564-019-0491-9 · Cited by 200
Emerging Priorities for Microbiome Research
Cullen, C. M., Aneja, K. K., Beyhan, S., Cho, C. E., Woloszynek, S., Convertino, M., McCoy, S. J., Zhang, Y., Anderson, M. Z., Alvarez‐Ponce, D., et al. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.00136 · Cited by 202
Mathematical Modeling of Microbial Community Dynamics: A Methodological Review
Song, H., Cannon, W. R., Beliaev, A. S., & Konopka, A. E. (2014) · Processes · doi:10.3390/pr2040711 · Cited by 187
Temporal and technical variability of human gut metagenomes
Voigt, A. Y., Costea, P. I., Kultima, J. R., Li, S. S., Zeller, G., Sunagawa, S., & Bork, P. (2015) · Genome biology · doi:10.1186/s13059-015-0639-8 · Cited by 182
Evaluating a multigene environmental DNA approach for biodiversity assessment
Drummond, A. J., Newcomb, R. D., Buckley, T. R., Xie, D., Dopheide, A., Potter, B. C. M., Heled, J., Ross, H. A., Tooman, L. K., Grosser, S., et al. (2015) · GigaScience · doi:10.1186/s13742-015-0086-1 · Cited by 196
Martínez, I., Muller, C. E., & Walter, J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0069621 · Cited by 181
Stress and the gut microbiota-brain axis
Molina‐Torres, G., Rodríguez-Arrastia, M. J., Román, P., Sánchez‐Labraca, N., & Cardona, D. (2019) · Behavioural Pharmacology · doi:10.1097/fbp.0000000000000478 · Cited by 189
Microbial communities as dynamical systems
Gonze, D., Coyte, K. Z., Lahti, L., & Faust, K. (2018) · Current Opinion in Microbiology · doi:10.1016/j.mib.2018.07.004 · Cited by 182
Tong, M., Li, X., Parfrey, L. W., Roth, B. E., Ippoliti, A., Wei, B., Borneman, J., McGovern, D. P. B., Frank, D. N., Li, E., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0080702 · Cited by 184
Self-citationEnrichment of beneficial cucumber rhizosphere microbes mediated by organic acid secretion
Wen, T., Yuan, J. J., He, X., Lin, Y., Huang, Q., & Shen, Q. (2020) · Horticulture Research · doi:10.1038/s41438-020-00380-3 · Cited by 177
Does diversity of environmental microbial exposure matter for the occurrence of allergy and asthma?
Heederik, D. J. J., & von Mutius, E. (2012) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2012.01.067 · Cited by 175
Gordon, J. I. (2012) · Science · doi:10.1126/science.1224686 · Cited by 172
Self-citationMicrobiome Assembly across Multiple Body Sites in Low-Birthweight Infants
Costello, E. K., Carlisle, E. M., Bik, E. M., Morowitz, M. J., & Relman, D. A. (2013) · mBio · doi:10.1128/mbio.00782-13 · Cited by 175
Self-citationBledsoe, J. W., Peterson, B. C., Swanson, K. S., & Small, B. C. (2016) · PLoS ONE · doi:10.1371/journal.pone.0166379 · Cited by 175
Regulation, risk and safety of Faecal Microbiota Transplant
Merrick, B., Allen, L., Masirah M Zain, N., Forbes, B., Shawcross, D. L., & Goldenberg, S. D. (2020) · Infection Prevention in Practice · doi:10.1016/j.infpip.2020.100069 · Cited by 171
Tang, Z.-Z., Chen, G., Hong, Q., Huang, S., Smith, H., Shah, R. D., Scholz, M. B., & Ferguson, J. F. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00454 · Cited by 175
Zhou, X., Shen, X., Johnson, J. S., Spakowicz, D. J., Agnello, M., Zhou, W., Avina, M., Honkala, A. T., Chleilat, F., Chen, S. J., et al. (2024) · Cell Host & Microbe · doi:10.1016/j.chom.2024.02.012 · Cited by 181
Mapping the ecological networks of microbial communities
Xiao, Y., Angulo, M. T., Friedman, J., Waldor, M. K., Weiss, S. T., & Liu, Y. (2017) · Nature Communications · doi:10.1038/s41467-017-02090-2 · Cited by 178
Trosvik, P., & de Muinck, E. J. (2015) · Microbiome · doi:10.1186/s40168-015-0107-4 · Cited by 167
Stereotypes About Enterotype: The Old and New Ideas
Cheng, M., & Ning, K. (2019) · Genomics Proteomics & Bioinformatics · doi:10.1016/j.gpb.2018.02.004 · Cited by 178
Links between environment, diet, and the hunter-gatherer microbiome
Fragiadakis, G. K., Smits, S. A., Sonnenburg, E. D., Treuren, W. V., Reid, G., Knight, R. D., Manjurano, A. M., Changalucha, J. M., Domínguez-Bello, M. G., Leach, J. D., et al. (2018) · Gut Microbes · doi:10.1080/19490976.2018.1494103 · Cited by 168
Self-citationHuman Skin, Oral, and Gut Microbiomes Predict Chronological Age
Huang, S., Haiminen, N., Carrieri, A.-P., Hu, R., Jiang, L., Parida, L., Russell, B., Allaband, C., Zarrinpar, A., Vázquez-Baeza, Y., et al. (2020) · mSystems · doi:10.1128/msystems.00630-19 · Cited by 167
Self-citationPursuing Human-Relevant Gut Microbiota-Immune Interactions
Spencer, S. P., Fragiadakis, G. K., & Sonnenburg, J. L. (2019) · Immunity · doi:10.1016/j.immuni.2019.08.002 · Cited by 167
Temporal patterns of rarity provide a more complete view of microbial diversity
Shade, A. L., & Gilbert, J. A. (2015) · Trends in Microbiology · doi:10.1016/j.tim.2015.01.007 · Cited by 167
Review of human hand microbiome research
Edmonds-Wilson, S. L., Nurinova, N. I., Zapka, C. A., Fierer, N., & Wilson, M. (2015) · Journal of Dermatological Science · doi:10.1016/j.jdermsci.2015.07.006 · Cited by 176
Self-citationMicrobiome Tools for Forensic Science
Metcalf, J. L., Xu, Z. Z., Bouslimani, A., Dorrestein, P. C., Carter, D. O., & Knight, R. D. (2017) · Trends in biotechnology · doi:10.1016/j.tibtech.2017.03.006 · Cited by 165
Self-citationFerguson, L. V., Dhakal, P., Lebenzon, J. E., Heinrichs, D. E., Bucking, C., & Sinclair, B. J. (2018) · Functional Ecology · doi:10.1111/1365-2435.13153 · Cited by 160
Metabolic Influences of Gut Microbiota Dysbiosis on Inflammatory Bowel Disease
Sultan, S., El‐Mowafy, M., Elgaml, A., Ahmed, T. A., Hassan, H., & Mottawea, W. (2021) · Frontiers in Physiology · doi:10.3389/fphys.2021.715506 · Cited by 170
Leung, M. H. Y., Wilkins, D. E., & Lee, P. K. H. (2015) · Scientific Reports · doi:10.1038/srep11845 · Cited by 158
Functional Impacts of the Intestinal Microbiome in the Pathogenesis of Inflammatory Bowel Disease
Li, J. S. Y., Butcher, J., Mack, D. R., & Stintzi, A. (2014) · Inflammatory Bowel Diseases · doi:10.1097/mib.0000000000000215 · Cited by 152
Host–microbe interactions shaping the gastrointestinal environment
Kaiko, G. E., & Stappenbeck, T. S. (2014) · Trends in Immunology · doi:10.1016/j.it.2014.08.002 · Cited by 155
Establishment of Normal Gut Microbiota Is Compromised under Excessive Hygiene Conditions
Schmidt, B., Mulder, I. E., Musk, C. C., Aminov, R. I., Lewis, M. C., Stokes, C., Bailey, M., Prosser, J. I., Gill, B. P., Pluske, J. R., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0028284 · Cited by 162
Exploration of bacterial community classes in major human habitats
Zhou, Y., Mihindukulasuriya, K. A., Gao, H., La Rosa, P. S., Wylie, K. M., Martin, J. C., Kota, K., Shannon, W. D., Mitreva, M., Sodergren, E., et al. (2014) · Genome Biology · doi:10.1186/gb-2014-15-5-r66 · Cited by 149
Longitudinal gut microbiome changes in immune checkpoint blockade-treated advanced melanoma
Björk, J. R., Bolte, L. A., Maltez Thomas, A., Lee, K. A., Rossi, N., Wind, T. T., Smit, L. M., Armanini, F., Asnicar, F., Blanco-Miguez, A., et al. (2024) · Nature Medicine · doi:10.1038/s41591-024-02803-3 · Cited by 156
Stabilization of the murine gut microbiome following weaning
Schloss, P. D., Schubert, A. M., Zackular, J. P., Iverson, K. D., Young, V. B., & Petrosino, J. F. (2012) · Gut Microbes · doi:10.4161/gmic.21008 · Cited by 154
Sequencing the human microbiome in health and disease
Cox, M. J., Cookson, W. O. C. M., & Moffatt, M. (2013) · Human Molecular Genetics · doi:10.1093/hmg/ddt398 · Cited by 159
Wei, Y., Yang, J., Wang, J., Yang, Y., Huang, J., Gong, H., Cui, H., & Chen, D. (2016) · Critical Care · doi:10.1186/s13054-016-1491-2 · Cited by 147
Diet in Parkinson’s Disease: Critical Role for the Microbiome
Jackson, A., Forsyth, C. B., Shaikh, M., Voigt, R. M., Engen, P. A., Ramirez, V., & Keshavarzian, A. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2019.01245 · Cited by 145
Predictive modeling of gingivitis severity and susceptibility via oral microbiota
Huang, S. W., Li, R., Zeng, X., He, T., Zhao, H., Chang, A., Bo, C., Chen, J., Yang, F., Knight, R. D., et al. (2014) · The ISME Journal · doi:10.1038/ismej.2014.32 · Cited by 141
Self-citationXia, L. C., Ai, D., Cram, J. A., Fuhrman, J. A., & Sun, F. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts668 · Cited by 142
Archaea in and on the Human Body: Health Implications and Future Directions
Lurie-Weinberger, M. N., & Gophna, U. (2015) · PLoS Pathogens · doi:10.1371/journal.ppat.1004833 · Cited by 140
Li, X., Zhou, L., Yu, Y., Ni, J., Xu, W., & Yan, Q. (2017) · Microbial Ecology · doi:10.1007/s00248-016-0924-4 · Cited by 139
Schmidt, E., Mykytczuk, N., & Schulte‐Hostedde, A. I. (2019) · The ISME Journal · doi:10.1038/s41396-019-0345-8 · Cited by 141
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review