The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.
Seasonal cycling in the gut microbiome of the Hadza hunter-gatherers of Tanzania
Open accessAbstract
Seasonal diets, seasonal microbiota: Among the Hadza of western Tanzania, a few hundred people still live in small groups as hunter-gatherers, reliant solely on the wild environment for food. Smits et al. found that the microbiota of these people reflects the seasonal availability of different types of food (see the Perspective by Peddada). Between seasons, striking differences were observed in their gut microbial communities, with some taxa apparently disappearing, only to reappear when the seasons turned. Further comparison of the Hadza microbiota with that of diverse urbanized peoples revealed distinctly different patterns of microbial community composition. Science , this issue p. 802 ; see also p. 754
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
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 source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“A change from the ancestral hunter–gatherer diet, where foods consumed changed seasonally and a wide variety of food components were eaten, to a diet that is similar across seasons and significantly less varied, is another likely contributor to reduced diversity of the microbiomes of individuals living in”
From Polycystic Ovary Syndrome: An Evolutionary Adaptation to Lifestyle and the Environment (2022) · cites this paper as [131]
Experimental — accuracy not yet measuredIn the citing paper
“These data suggest the carbohydrate degradation by participants’ microbiota was insufficient to process the increased fiber consumption, consistent with analyses of industrialized microbiome (Smits et al., 2017; Vangay et al., 2018).”
From Gut-microbiota-targeted diets modulate human immune status (2021) · cites this paper as Smits et al., 2017
In the citing paper
“The microbiota of these hunter-gathers were shown to reflect the seasonality of their diet, with food type and availability affected by distinct dry and wet seasons.”
From Effect of Diet on the Gut Microbiota: Rethinking Intervention Duration (2019) · cites this paper as [76]
In the citing paper
“Between seasons, a considerable shift in gut microbiota composition with cyclical features was displayed, with a number of taxa undetectable one season shown to reappear the next [76].”
From Effect of Diet on the Gut Microbiota: Rethinking Intervention Duration (2019) · cites this paper as [76]
In the citing paper
“The level of microbial resilience can also be unique to a host’s gut microbiota, with some able to return to their original state after a perturbation, and others establishing a new, possibly pathological, profile [76].”
From Effect of Diet on the Gut Microbiota: Rethinking Intervention Duration (2019) · cites this paper as [76]
In the citing paper
“The Hadza, a hunter-gatherer tribe whose lifestyle has been described as mimicking that of Paleolithic communities, experience few metabolic diseases that plague industrialized societies”
From The gut microbiota at the intersection of diet and human health (2018) · cites this paper as [63]
In the citing paper
“it is difficult to ascribe these microbiota and health benefits to lower CHO intake by itself because the Hadza diet is rich in plant-derived MACs, and their microbiota contains a high abundance of CHO-metabolizing bacteria (63)”
From The gut microbiota at the intersection of diet and human health (2018) · cites this paper as [63]
In the citing paper
“the Hadza diet is rich in plant-derived MACs”
From The gut microbiota at the intersection of diet and human health (2018) · cites this paper as [63]
In the citing paper
“their microbiota is characterized by greater microbial diversity (9, 63)”
From The gut microbiota at the intersection of diet and human health (2018) · cites this paper as [63]
In the citing paper
“their microbiota contains a high abundance of CHO-metabolizing bacteria (63)”
From The gut microbiota at the intersection of diet and human health (2018) · cites this paper as [63]
In the citing paper
“Additionally, three of these five taxa (Succinivirbionaceae, Spirochaetaceae, and Prevotellaceae) were highly variable with season.”
From Population structure of human gut bacteria in a diverse cohort from rural Tanzania and Botswana (2019) · cites this paper as Smits et al. (2017)
In the citing paper
“though it is within a standard deviation of the relative abundance reported by Smits et al. [31] (~ 38%)”
From Population structure of human gut bacteria in a diverse cohort from rural Tanzania and Botswana (2019) · cites this paper as [31]
In the citing paper
“Prior studies of the Hadza (Smits et al. 2017) [31] and the Hutterites from the USA [49] indicate that seasonally volatile gut bacterial taxa correlate with seasonally available food.”
From Population structure of human gut bacteria in a diverse cohort from rural Tanzania and Botswana (2019) · cites this paper as [31]
In the citing paper
“The increased abundance of Prevotellaceae in the Hadza in our study is concordant with seasonal variation of this taxa reported in Smits et al. [31].”
From Population structure of human gut bacteria in a diverse cohort from rural Tanzania and Botswana (2019) · cites this paper as [31]
In the citing paper
“which identified four bacterial families and one bacterial phylum that primarily associate with traditional (Prevotellaceae, Spirochaetaceae, Succinivibrionaceae) or industrialized (Bacteroidaceae, Verrucomicrobia) populations”
From Population structure of human gut bacteria in a diverse cohort from rural Tanzania and Botswana (2019) · cites this paper as Smits et al. (2017)
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
Scikit-learn: Machine Learning in Python
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Müller, A., Nothman, J., Louppe, G., et al. (2012) · arXiv · doi:10.48550/arxiv.1201.0490 · Cited by 71,016
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
Self-citationSearch and clustering orders of magnitude faster than BLAST
Edgar, R. C. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq461 · Cited by 21,098
Structure, function and diversity of the healthy human microbiome
The Human Microbiome Project Consortium (2012) · Nature · doi:10.1038/nature11234 · Cited by 11,726
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
Diet rapidly and reproducibly alters the human gut microbiome
David, L. A., Maurice, C. F., Carmody, R. N., Gootenberg, D. B., Button, J. E., Wolfe, B. E., Ling, A. V., Devlin, A. S., Varma, Y., Fischbach, M. A., et al. (2014) · Nature · doi:10.1038/nature12820 · Cited by 10,100
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
Self-citationUniFrac: a New Phylogenetic Method for Comparing Microbial Communities
Lozupone, C., & Knight, R. (2005) · Applied and Environmental Microbiology · doi:10.1128/aem.71.12.8228-8235.2005 · Cited by 8,227
Self-citationHuman 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-citationThe Carbohydrate-Active EnZymes database (CAZy): an expert resource for Glycogenomics
Cantarel, B. L., Coutinho, P. M., Rancurel, C., Bernard, T., Lombard, V., & Henrissat, B. (2008) · Nucleic Acids Research · doi:10.1093/nar/gkn663 · Cited by 6,108
FastTree: Computing Large Minimum Evolution Trees with Profiles instead of a Distance Matrix
Price, M. N., Dehal, P. S., & Arkin, A. P. (2009) · Molecular Biology and Evolution · doi:10.1093/molbev/msp077 · Cited by 5,602
De Filippo, C., Cavalieri, D., Di Paola, M., Ramazzotti, M., Poullet, J. B., Massart, S., Collini, S., Pieraccini, G., & Lionetti, P. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1005963107 · Cited by 5,579
Smith, C. A., Want, E. J., O’Maille, G., Abagyan, R. A., & Siuzdak, G. E. (2006) · Analytical Chemistry · doi:10.1021/ac051437y · Cited by 5,296
Wang, M., Carver, J. J., Phelan, V. V., Sanchez, L. M., Garg, N., Peng, Y., Nguyen, D. D., Watrous, J., Kapono, C. A., Luzzatto-Knaan, T., et al. (2016) · Nature Biotechnology · doi:10.1038/nbt.3597 · Cited by 4,629
Interactions Between the Microbiota and the Immune System
Hooper, L. V., Littman, D. R., & Macpherson, A. J. (2012) · Science · doi:10.1126/science.1223490 · Cited by 4,173
Caspi, R., Billington, R., Ferrer, L., Foerster, H., Fulcher, C. A., Keseler, I. M., Kothari, A., Krummenacker, M., Latendresse, M., Mueller, L. A., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1164 · Cited by 3,395
Gut microbiota composition correlates with diet and health in the elderly
Claesson, M. J., Jeffery, I. B., Conde, S., Power, S. E., O’Connor, E. M., Cusack, S., Harris, H. M. B., Coakley, M., Lakshminarayanan, B., O’Sullivan, O., et al. (2012) · Nature · doi:10.1038/nature11319 · Cited by 3,314
Dethlefsen, L., & Relman, D. A. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1000087107 · Cited by 2,421
Diet–microbiota interactions as moderators of human metabolism
Sonnenburg, J. L., & Bäckhed, F. (2016) · Nature · doi:10.1038/nature18846 · Cited by 2,257
Self-citationThe NIH Human Microbiome ProjectPreprint
The NIH HMP Working Group, Peterson, J. L., Garges, S., Giovanni, M. Y., McInnes, P., Wang, L., Schloss, J. A., Bonazzi, V. R., McEwen, J. E., Wetterstrand, K. A., et al. (2009) · Genome Research · doi:10.1101/gr.096651.109 · Cited by 2,168
Diet-induced extinctions in the gut microbiota compound over generations
Sonnenburg, E. D., Smits, S. A., Tikhonov, M., Higginbottom, S. K., Wingreen, N. S., & Sonnenburg, J. L. (2016) · Nature · doi:10.1038/nature16504 · Cited by 1,730
Self-citationdbCAN: a web resource for automated carbohydrate-active enzyme annotation
Yin, Y.-B., Mao, X., Yang, J., Chen, X., Mao, F., & Xu, Y. (2012) · Nucleic Acids Res. · doi:10.1093/nar/gks479 · Cited by 1,666
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
SolexaQA: at-a-glance quality assessment of Illumina second-generation sequencing data
Cox, M. P., Peterson, D. A., & Biggs, P. J. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-485 · Cited by 1,357
Gut microbiome of the Hadza hunter-gatherers
Schnorr, S. L., Candela, M., Rampelli, S., Centanni, M., Consolandi, C., Basaglia, G., Turroni, S., Biagi, E., Peano, C., Severgnini, M., et al. (2014) · Nature Communications · doi:10.1038/ncomms4654 · Cited by 1,317
Lupp, C., Robertson, M. L., Wickham, M. E., Sekirov, I., Champion, O. L., Gaynor, E. C., & Finlay, B. B. (2007) · Cell Host & Microbe · doi:10.1016/j.chom.2007.06.010 · Cited by 1,310
A NEW GENERATION OF HOMOLOGY SEARCH TOOLS BASED ON PROBABILISTIC INFERENCE
Eddy, S. R. (2009) · International Conference on Genome Informatics (GIW) · doi:10.1142/9781848165632_0019 · Cited by 1,275
Glycan foraging in vivo by an intestine-adapted bacterial symbiont
Sonnenburg, J. L., Xu, J., Leip, D. D., Chen, C.-H., Westover, B. P., Weatherford, J., Buhler, J. D., & Gordon, J. I. (2005) · Science · doi:10.1126/science.1109051 · Cited by 1,184
Self-citationMetabolic Reconstruction for Metagenomic Data and Its Application to the Human Microbiome
Abubucker, S., Segata, N., Goll, J. B., Schubert, A. M., Izard, J., Cantarel, B. L., Rodriguez-Mueller, B., Zucker, J., Thiagarajan, M., Henrissat, B., et al. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002358 · Cited by 1,076
Gut 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-citationMartens, E. C., Chiang, H. C., & Gordon, J. I. (2008) · Cell Host & Microbe · doi:10.1016/j.chom.2008.09.007 · Cited by 954
The infant microbiome development: Mom matters
Mueller, N. T., Bakacs, E., Combellick, J., Grigoryan, Z., & Dominguez-Bello, M. G. (2015) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2014.12.002 · Cited by 943
The Earth Microbiome project: successes and aspirations
Gilbert, J. A., Jansson, J. K., & Knight, R. D. (2014) · BMC Biology · doi:10.1186/s12915-014-0069-1 · Cited by 917
Self-citationFragGeneScan: predicting genes in short and error-prone reads
Rho, M., Tang, H., & Ye, Y. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq747 · Cited by 865
The microbiome of uncontacted Amerindians
Clemente, J. C., Pehrsson, E. C., Blaser, M. J., Sandhu, K., Gao, Z., Wang, B., Magris, M., Hidalgo, G., Contreras, M., Noya-Alarcón, Ó., et al. (2015) · Science Advances · doi:10.1126/sciadv.1500183 · Cited by 851
Self-citationFast Identification and Removal of Sequence Contamination from Genomic and Metagenomic Datasets
Schmieder, R., & Edwards, R. A. (2011) · PLoS ONE · doi:10.1371/journal.pone.0017288 · Cited by 765
Gibson, M. K., Forsberg, K. J., & Dantas, G. A. (2014) · The ISME Journal · doi:10.1038/ismej.2014.106 · Cited by 670
Subsistence strategies in traditional societies distinguish gut microbiomes
Obregon-Tito, A. J., Tito, R. Y., Metcalf, J., Sankaranarayanan, K., Clemente, J. C., Ursell, L. K., Zech Xu, Z., Van Treuren, W., Knight, R., Gaffney, P. M., et al. (2015) · Nature Communications · doi:10.1038/ncomms7505 · Cited by 587
Self-citationMartínez, I., Stegen, J. C., Maldonado-Gómez, M. X., Eren, A. M., Siba, P. M., Greenhill, A. R., & Walter, J. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.03.049 · Cited by 576
Cospeciation of gut microbiota with hominids
Moeller, A. H., Caro‐Quintero, A., Mjungu, D. C., Georgiev, A. V., Lonsdorf, E. V., Muller, M. N., Pusey, A. E., Peeters, M., Hahn, B. H., & Ochman, H. (2016) · Science · doi:10.1126/science.aaf3951 · Cited by 576
Lupp, C., Robertson, M. L., Wickham, M. E., Sekirov, I., Champion, O. L., Gaynor, E. C., & Finlay, B. B. (2007) · Cell Host & Microbe · doi:10.1016/j.chom.2007.08.002 · Cited by 501
Zhang, J., Guo, Z., Xue, Z., Sun, Z., Zhang, M., Wang, L., Wang, G., Wang, F., Xu, J., Cao, H., et al. (2015) · The ISME Journal · doi:10.1038/ismej.2015.11 · Cited by 462
Interpreting prevotella and bacteroides as biomarkers of diet and lifestyle
Gorvitovskaia, A., Holmes, S. P., & Huse, S. M. (2016) · Microbiome · doi:10.1186/s40168-016-0160-7 · Cited by 461
Metagenome Sequencing of the Hadza Hunter-Gatherer Gut Microbiota
Rampelli, S., Schnorr, S. L., Consolandi, C., Turroni, S., Severgnini, M., Peano, C., Brigidi, P., Crittenden, A. N., Henry, A. G., & Candela, M. (2015) · Current Biology · doi:10.1016/j.cub.2015.04.055 · Cited by 399
Complex Carbohydrate Utilization by the Healthy Human Microbiome
Cantarel, B. L., Lombard, V., & Henrissat, B. (2012) · PLoS ONE · doi:10.1371/journal.pone.0028742 · Cited by 378
Marcobal, A. M., Kashyap, P., Nelson, T. A., Aronov, P. A., Donia, M. S., Spormann, A. M., Fischbach, M. A., & Sonnenburg, J. L. (2013) · The ISME Journal · doi:10.1038/ismej.2013.89 · Cited by 356
Self-citationSeasonal Variation in Human Gut Microbiome Composition
Davenport, E. R., Mizrahi-Man, O., Michelini, K., Barreiro, L. B., Ober, C., & Gilad, Y. (2014) · PLoS ONE · doi:10.1371/journal.pone.0090731 · Cited by 314
Diversity in gut bacterial community of school-age children in Asia
Nakayama, J., Watanabe, K., Jiang, J., Matsuda, K., Chao, S.-H., Haryono, P., La-ongkham, O., Sarwoko, M.-A., Sujaya, I. N., Zhao, L., et al. (2015) · Scientific Reports · doi:10.1038/srep08397 · Cited by 296
Cross-species comparisons of host genetic associations with the microbiome
Goodrich, J. K., Davenport, E., Waters, J. L., Clark, A. G., & Ley, R. E. (2016) · Science · doi:10.1126/science.aad9379 · Cited by 292
Mobile genes in the human microbiome are structured from global to individual scales
Brito, I. L., Yilmaz, S., Huang, K., Xu, L., Jupiter, S. D., Jenkins, A. P., Naisilisili, W., Tamminen, M., Smillie, C. S., Wortman, J. R., et al. (2016) · Nature · doi:10.1038/nature18927 · Cited by 288
Morton, E. R., Lynch, J., Froment, A., Lafosse, S., Heyer, E., Przeworski, M., Blekhman, R., & Ségurel, L. (2015) · PLOS Genetics · doi:10.1371/journal.pgen.1005658 · Cited by 231
Geographical variation of human gut microbial composition
Suzuki, T. A., & Worobey, M. (2014) · Biology Letters · doi:10.1098/rsbl.2013.1037 · Cited by 210
EVIDENCE FOR PERSISTENCE OF INFECTIOUS AGENTS IN ISOLATED HUMAN POPULATIONS1
Black, F. L., Hierholzer, W. J., PINHEIRO, F. D., Evans, A. S., Woodall, J. P., Opton, E. M., Emmons, J. E., West, B. S., Edsall, G., Downs, W. G., et al. (1974) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a112032 · Cited by 172
Demography of the Hadza, an increasing and high density population of savanna foragers
Jones, N. G. B., Smith, L. C., O’Connell, J. F., Hawkes, K., & Kamuzora, C. L. (1992) · American Journal of Physical Anthropology · doi:10.1002/ajpa.1330890204 · Cited by 169
Horseshoes in multidimensional scaling and local kernel methods
Diaconis, P. W., Goel, S., & Holmes, S. (2008) · The Annals of Applied Statistics · doi:10.1214/08-aoas165 · Cited by 116
Host-Microbiota Interactions in the Pathogenesis of Antibiotic-Associated Diseases
Lichtman, J. S., Ferreyra, J. A., Ng, K. M., Smits, S. A., Sonnenburg, J. L., & Elias, J. E. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.01.009 · Cited by 84
Self-citationHorseshoes in multidimensional scaling and local kernel methods
Diaconis, P. W., Goel, S., & Holmes, S. (2008) · Cited by 71
Bennett, F. J., Barnicot, N. A., Woodburn, J., Pereira, M. S., & Henderson, B. E. (1973) · PubMed · Cited by 33
Research works printed but not linked: 1
- F. Marlowe The Hadza: Hunter-Gatherers of Tanzania . Origins of human behavior and culture 3 (Univ. of California Press Berkeley 2010).
Cited by
Sorted by citations
Gut microbiota in human metabolic health and disease
Fan, Y., & Pedersen, O. (2021) · Nature Reviews Microbiology · doi:10.1038/s41579-020-0433-9 · Cited by 4,724
The impact of dietary fiber on gut microbiota in host health and disease
Makki, K., Deehan, E. C., Walter, J., & Bäckhed, F. (2018) · Cell Host & Microbe · doi:10.1016/j.chom.2018.05.012 · Cited by 2,517
You are what you eat: Diet, health and the gut microbiota
Zmora, N., Suez, J., & Elinav, E. (2019) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-018-0061-2 · Cited by 1,792
Pasolli, E., Asnicar, F., Manara, S., Zolfo, M., Karcher, N., Armanini, F., Beghini, F., Manghi, P., Tett, A., Ghensi, P., et al. (2019) · Cell · doi:10.1016/j.cell.2019.01.001 · Cited by 1,591
Gut microbial metabolites as multi-kingdom intermediates
Krautkramer, K. A., Fan, J., & Bäckhed, F. (2021) · Nature Reviews Microbiology · doi:10.1038/s41579-020-0438-4 · Cited by 1,398
Metadata
- Authors
- Smits, S. A., Leach, J., Sonnenburg, E. D., Gonzalez, C. G., Lichtman, J. S., Reid, G., Knight, R., Manjurano, A., Changalucha, J., Elias, J. E., Dominguez-Bello, M. G., & Sonnenburg, J. L.
- Affiliations
- Stanford Medicine (US)
- St Thomas' Hospital (GB)
- Western University (CA)
- University of California San Diego (US)
- National Institute for Medical Research (TZ)
- School of Medicine and Department of Anthropology, New York University, New York, NY, USA.
- Corresponding author
- Smits, Samuel A.
- Leach, Jeff
- Sonnenburg, Justin L.
- ORCID
- Venue
- Science
- Published
- 2017-08-25
- Volume
- 357
- Issue
- 6353
- Pages
- 802-806
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC5891123
- OpenAlex
- W2750417371
- Cited by
- 886
- References
- 58
- Citations by year
- 2026: 62 · 2025: 83 · 2024: 78 · 2023: 98 · 2022: 131 · 2021: 136 · 2020: 130 · 2019: 90 · 2018: 68 · 2017: 8
- FWCI
- 33.19
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Scholarship@Western (Western University) (submittedVersion)
- Funders
- National Institutes of Health (R01-DK085025, R01-DK090989)
- 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
- gut microbiota, seasonal variation, modernization, microbial diversity
- MeSH terms
- Gastrointestinal Microbiome, Ethnicity, Feces, Humans, Life Style, Seasons, Tanzania
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
