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
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
Items 801–883 of 883
Wu, Y., Yao, Y., Dong, M., Xia, T., Li, D., Xie, M., Wu, J., Wen, A., Wang, Q., Zhu, G., et al. (2020) · Figshare · doi:10.6084/m9.figshare.12038007
Additional file 9 of Remodeling of the maternal gut microbiome during pregnancy is shaped by parity
Berry, A. S. F., Pierdon, M. K., Misic, A. M., Sullivan, M. C., O’Brien, K., Chen, Y., Murray, S. J., Ramharack, L. A., Baldassano, R. N., Parsons, T. D., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14863613
Additional file 10 of Remodeling of the maternal gut microbiome during pregnancy is shaped by parity
Berry, A. S. F., Pierdon, M. K., Misic, A. M., Sullivan, M. C., O’Brien, K., Chen, Y., Murray, S. J., Ramharack, L. A., Baldassano, R. N., Parsons, T. D., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14863589
Härer, A., Torres-Dowdall, J., Rometsch, S. J., Yohannes, E., Machado‐Schiaffino, G., & Meyer, A. (2020) · Figshare · doi:10.6084/m9.figshare.13167146
Additional file 7 of Remodeling of the maternal gut microbiome during pregnancy is shaped by parity
Berry, A. S. F., Pierdon, M. K., Misic, A. M., Sullivan, M. C., O’Brien, K., Chen, Y., Murray, S. J., Ramharack, L. A., Baldassano, R. N., Parsons, T. D., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14863607
Al‐Muhanna, F., Dowdell, A. K., Eleq, A. H. A., Baker, W. I. A., Brooks, A., Al-Sultan, A. I., Al-Rubaish, A. M., Alkharsah, K. R., Sulaiman, R. M., Al-Quorain, A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26553638
Al‐Muhanna, F., Dowdell, A. K., Eleq, A. H. A., Baker, W. I. A., Brooks, A., Al-Sultan, A. I., Al-Rubaish, A. M., Alkharsah, K. R., Sulaiman, R. M., Al-Quorain, A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26553635
Wu, Y., Yao, Y., Dong, M., Xia, T., Li, D., Xie, M., Wu, J., Wen, A., Wang, Q., Zhu, G., et al. (2020) · Figshare · doi:10.6084/m9.figshare.12038010
Additional file 4 of Remodeling of the maternal gut microbiome during pregnancy is shaped by parity
Berry, A. S. F., Pierdon, M. K., Misic, A. M., Sullivan, M. C., O’Brien, K., Chen, Y., Murray, S. J., Ramharack, L. A., Baldassano, R. N., Parsons, T. D., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14863598
Wang, L., Huang, G., Hou, R., Dunwu, 齐. Q., Wu, Q., Nie, Y., Zuo, Z., Ma, R., Zhou, W., Ma, Y., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16655693
Additional file 9 of Performance determinants of unsupervised clustering methods for microbiome data
Shi, Y., Zhang, L., Peterson, C. B., Do, K.-A., & Jenq, R. R. (2022) · Figshare · doi:10.6084/m9.figshare.19126388
Härer, A., Torres-Dowdall, J., Rometsch, S. J., Yohannes, E., Machado‐Schiaffino, G., & Meyer, A. (2020) · Figshare · doi:10.6084/m9.figshare.13167149
Han, Y., Liu, X., Jia, Q., Xu, J., Shi, J., Li, X., Xie, G., Zhao, X., & He, K. (2024) · Figshare · doi:10.6084/m9.figshare.26702575
Sun, H., Chen, F., Zheng, W., Huang, Y., Peng, H., Hao, H., & Wang, K.-J. (2024) · Figshare · doi:10.6084/m9.figshare.26170637
Zhang, L., Shi, Y., Do, K.-A., Peterson, C. B., & Jenq, R. R. (2021) · Figshare · doi:10.6084/m9.figshare.14234992
Wu, Y., Yao, Y., Dong, M., Xia, T., Li, D., Xie, M., Wu, J., Wen, A., Wang, Q., Zhu, G., et al. (2020) · Figshare · doi:10.6084/m9.figshare.12038022
Baniel, A., Amato, K. R., Beehner, J. C., Bergman, T. J., Mercer, A., Perlman, R. F., Petrullo, L. A., Reitsema, L. J., Sams, S. N., Lu, A., et al. (2021) · Figshare · doi:10.6084/m9.figshare.13634250
Additional file 5 of Performance determinants of unsupervised clustering methods for microbiome data
Shi, Y., Zhang, L., Peterson, C. B., Do, K.-A., & Jenq, R. R. (2022) · Figshare · doi:10.6084/m9.figshare.19126376
Additional file 2 of Performance determinants of unsupervised clustering methods for microbiome data
Shi, Y., Zhang, L., Peterson, C. B., Do, K.-A., & Jenq, R. R. (2022) · Figshare · doi:10.6084/m9.figshare.19126364
Zha, Y., Chong, H., Qiu, H., Kang, K., Dun, Y., Chen, Z., Cui, X., & Ning, K. (2022) · Figshare · doi:10.6084/m9.figshare.19664347
Baud, G., Prasad, A., Ellegaard, K., & Engel, P. (2024) · Figshare · doi:10.6084/m9.figshare.26651256
Han, Y., Liu, X., Jia, Q., Xu, J., Shi, J., Li, X., Xie, G., Zhao, X., & He, K. (2024) · Figshare · doi:10.6084/m9.figshare.26702578
Additional file 6 of Remodeling of the maternal gut microbiome during pregnancy is shaped by parity
Berry, A. S. F., Pierdon, M. K., Misic, A. M., Sullivan, M. C., O’Brien, K., Chen, Y., Murray, S. J., Ramharack, L. A., Baldassano, R. N., Parsons, T. D., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14863604
Han, Y., Liu, X., Jia, Q., Xu, J., Shi, J., Li, X., Xie, G., Zhao, X., & He, K. (2024) · Figshare · doi:10.6084/m9.figshare.26702566
Burnham, C. M., McKenney, E. A., Heugten, K. A., Minter, L. J., & Trivedi, S. (2023) · Figshare · doi:10.6084/m9.figshare.22774208
Al‐Muhanna, F., Dowdell, A. K., Eleq, A. H. A., Baker, W. I. A., Brooks, A., Al-Sultan, A. I., Al-Rubaish, A. M., Alkharsah, K. R., Sulaiman, R. M., Al-Quorain, A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26553647
Sun, H., Chen, F., Zheng, W., Huang, Y., Peng, H., Hao, H., & Wang, K.-J. (2024) · Figshare · doi:10.6084/m9.figshare.26170537
Härer, A., Torres-Dowdall, J., Rometsch, S. J., Yohannes, E., Machado‐Schiaffino, G., & Meyer, A. (2020) · Figshare · doi:10.6084/m9.figshare.13167143
Han, Y., Liu, X., Jia, Q., Xu, J., Shi, J., Li, X., Xie, G., Zhao, X., & He, K. (2024) · Figshare · doi:10.6084/m9.figshare.26702584
Al‐Muhanna, F., Dowdell, A. K., Eleq, A. H. A., Baker, W. I. A., Brooks, A., Al-Sultan, A. I., Al-Rubaish, A. M., Alkharsah, K. R., Sulaiman, R. M., Al-Quorain, A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26553656
Baud, G., Prasad, A., Ellegaard, K., & Engel, P. (2023) · Figshare · doi:10.6084/m9.figshare.24779172
Additional file 4 of Performance determinants of unsupervised clustering methods for microbiome data
Shi, Y., Zhang, L., Peterson, C. B., Do, K.-A., & Jenq, R. R. (2022) · Figshare · doi:10.6084/m9.figshare.19126373
Härer, A., Torres-Dowdall, J., Rometsch, S. J., Yohannes, E., Machado‐Schiaffino, G., & Meyer, A. (2020) · Figshare · doi:10.6084/m9.figshare.13167152
Al‐Muhanna, F., Dowdell, A. K., Eleq, A. H. A., Baker, W. I. A., Brooks, A., Al-Sultan, A. I., Al-Rubaish, A. M., Alkharsah, K. R., Sulaiman, R. M., Al-Quorain, A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26553659
Additional file 7 of Performance determinants of unsupervised clustering methods for microbiome data
Shi, Y., Zhang, L., Peterson, C. B., Do, K.-A., & Jenq, R. R. (2022) · Figshare · doi:10.6084/m9.figshare.19126382
Al‐Muhanna, F., Dowdell, A. K., Eleq, A. H. A., Baker, W. I. A., Brooks, A., Al-Sultan, A. I., Al-Rubaish, A. M., Alkharsah, K. R., Sulaiman, R. M., Al-Quorain, A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26553641
Jiang, C., Hu, B., Yang, C., Yuan, X., He, M., Yan, X., Li, Y., Li, G., & Tan, D. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.06.698051
Han, X., Hu, C., Zhang, N., Ren, H., Yan, H., Li, S., & Ling, T. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6042569
Meunier, R. (2025) · Science studies · doi:10.14361/9783839472378-005
(2025) · Science studies · doi:10.14361/9783839472378
Maria-Eleni, M., & Charidemou, E. (2026) · Acta Astronautica · doi:10.1016/j.actaastro.2026.01.006
Sharma, R., & Chandel, P. S. (2026) · IGI Global eBooks · doi:10.4018/979-8-3373-4382-2.ch005
Seasonal dynamics in lettuce phyllosphere microbiota and potential transfer to the human gut
In, S.-A., Park, J.-W., Yun, Y.-E., Lee, Y.-E., Park, E., & Kim, M. (2026) · npj Science of Food · doi:10.64898/2026.03.05.709721
Arehart, E., Gilbert, S. Z., Rasolofoniaina, B. J. R., Anjaranirina, E. J. G., Ravaoliny, L., Randriamady, H. J., & Golden, C. D. W. (2026) · People and Nature · doi:10.1002/pan3.70269
Modes and mechanisms of individual specificity of resident microbes in mammals (本文)
ツキミ, ト., Tsukimi, T., & 月見, 友. (2023) · Institutional Repositories DataBase (IRDB)
Mathematical Modelling and Intuition in Microbiology: A Perspective
Lopez, J. A., & Erez, A. (2026) · Environmental Microbiology · doi:10.1111/1462-2920.70266
Bedu-Ferrari, C. (2022) · theses.fr (ABES) · doi:10.70675/17cf5e69z9e36z4daczb0b6z93f0767b79db
Human lifestyle-associated factors modulate the gut resistome
Poopalarajah, R., & Jha, A. R. (2026) · mSystems · doi:10.1128/msystems.01458-25
Depression symptom trajectories and self-care variability over the year in 4801 Swedish adults
Balter, L. J. T., Hedman‐Lagerlöf, M., Ojala, O., Sörman, K., Forsström, D., Jangard, S., Manzouri, A., Alaoui, S. E., Rozental, A., Shahnavaz, S., et al. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.121942
Jespersen, M. L., Munk, K. K., Fjermedal, S., Pilgaard, B., Meyer, A. S., Aarestrup, F. M., & Otani, S. (2026) · Gut Microbes Reports · doi:10.1080/29933935.2026.2673265
Bjørnsen, M. B., Bourke, K. M., Stanton, C., Ross, R. P., Hansen, A. J., & Hauptmann, A. L. (2026) · Frontiers in Microbiomes · doi:10.3389/frmbi.2026.1832705
Imam, U. A., Bunza, N. M., Bunza, J. M., Mainasara¹, B. M., Ogunwale, K. A., Oladele, B. S., Umar, A. M., & Jidda, M. L. (2026) · Research Square · doi:10.21203/rs.3.rs-9579106/v1
Stein, R. A., Ganesh, A., Rianom, N. A., & Paratore, A. W. (2026) · Physiological Genomics · doi:10.1152/physiolgenomics.00230.2025
Medouni‐Haroune, L., Medouni‐Adrar, S., Messaoudene, L., Negrichi, S., Bouiche, C., Sahraoui-Remini, Y., Allam, A., Meghlaoui, Z., Mouhoubi, K., Abbou, A., et al. (2026) · Food & Function · doi:10.1039/d6fo00371k
Effects of seasonality and air pollution on the nasal microbiota in healthy Italian adults
Solazzo, G., Rovelli, S., Iodice, S., Spinazzè, A., Cavallo, D. M., Bollati, V., Ghedin, E., & Ferrari, L. (2026) · Hygiene and Environmental Health Advances · doi:10.1016/j.heha.2026.100189
Crouch, A. L., Rambeau, M., Li‐Pook‐Than, J., Snyder, M. P., Henderson, J. A., Yracheta, J., & Anderson, M. Z. (2026) · Cell Reports · doi:10.1016/j.celrep.2025.116334
Gut Microbiome, Disease, and Diet: Leveraging Big Data for Precise Nutrition
Huang, Z., Ye, C., Liu, K., Ma, W., Liu, Q., & Li, D. Y. (2026) · Food Science and Human Wellness · doi:10.26599/fshw.2026.9251155
Investigating the Kidney–Gut–Brain Axis in CKD: Uremic Toxins and Brain Microhemorrhages
Zhao, Y., Lee, S. M., Li, W., Floriolli, D., Chang, P., Narasaki, Y., You, A. S., Kalantar‐Zadeh, K., Rhee, C. M., Liu, H., et al. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27136020
mSphere of Influence: Understanding atopic disease through the dynamics of skin-microbe interactions
Costa, F. G. (2026) · mSphere · doi:10.1128/msphere.00797-25
From Womb to World: Unravelling the Microbiota′s Impact on Health and Disease
Poterico, J. A., Babu, R. V., Jaramillo‐Valverde, L., Sánchez, C., Alayo, E. C., Valdivia‐Silva, J., & Guio, H. (2026) · International Journal of Microbiology · doi:10.1155/ijm/9228548
Mollick, S. A., Khual, G. K., Ghosh, A., Patel, S. K., Bhattacharya, S., Roy, C. S., Maile, A., Nagarajaram, H. A., Longkumer, M., Babu, M. N., et al. (2026) · Current Research in Microbial Sciences · doi:10.1016/j.crmicr.2026.100650
Dynamics of fluctuating populations in multi-state switching environmentsPreprint
Mobilia, M. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.08.11.744206
Kusuma, P., Jacobs, G. S., Luqman, H., Ma'ruf, F. A., Limardi, P., Sudoyo, H., Lansing, J. S., Malik, S. G., & Romero, I. G. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.08.09.743820
Debnath, M. (2026) · Journal of Ethnic Foods · doi:10.1186/s42779-026-00328-3
MUSLU, M. (2026) · Kastamonu Üniversitesi Sağlık Bilimleri Fakültesi Dergisi · doi:10.59778/sbfdergisi.2017412
Papadaki, M. I., Falony, G., Vieira‐Silva, S., Tito, R. Y., Rymenans, L., Swinnen, J., Close, L., Wagemans, J., Jahan, S., Alam, M., et al. (2026) · mSystems · doi:10.1128/msystems.00101-26
Evolutionary Perspectives on the Human Gut Microbiome
Doms, S., Poyet, M., Groussin, M., & Baines, J. F. (2026) · Springer eBooks · doi:10.1007/978-3-032-26410-7_5
Ghezzi, H., Wolff, R., Jain, A., Burckhardt, J. C., Hunter, M., Ng, K. M., Carasso, S., Geva‐Zatorsky, N., Garud, N. R., & Tropini, C. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.09.08.750096
Takeuchi, T., Reddy, A., Robinson, E. K., Kotaka, K., Higginbottom, S. K., Sonnenburg, E. D., & Sonnenburg, J. L. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.09.29.755216
Self-citationSCiMS: Sex Calling in Metagenomic Sequences
Tran, H. N., Kirven, K. J., & Davenport, E. (2026) · Microbiome · doi:10.1186/s40168-026-02547-x
Reference Incompleteness in Human Gut Metagenomics Is a Geographically Structured Measurement Bias
Sadhu, S., & Dahal, R. H. (2026) · Journal of Genome Biotechnology and Genetics · doi:10.3390/jgbg1030018
Regulation of host chromatin by bacterial metabolites
Sjöland, W., & Krautkramer, K. A. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-19001-8.00031-3
Almalki, E., AlHarthi, M., Abu-Alola, M. J., Alharbi, A., Khojah, O. T., Alhowaiti, S. A., Marzan, A. A., Sumaily, K. M., Al-Qahtani, A. A., & Al-Qahtani, K. M. (2026) · Biomedicines · doi:10.3390/biomedicines14102320
Chang, H., Gu, C., Zou, D., Wang, X., Xu, R., Zheng, S., Ran, M., Wang, T., Zhao, Y., & Wang, D. (2026) · Journal of Animal Ecology · doi:10.1111/1365-2656.70383
Tosefsky, K. N., Schaffner, S. L., Lam, J. S. T., Wang, Y. N., Keymanesh, S., Kuan, A. J., Metcalfe‐Roach, A., Cirstea, M. S., Sacheli, M., Morelli, T. F., et al. (2026) · iScience · doi:10.1016/j.isci.2026.117981
Engineering a gut bacterium depleted in industrialized microbiomes to survive malabsorptionPreprint
Burckhardt, J. C., Pepin, D. M., He, J., McCallum, G., Sie, C., Ng, K. M., Trotter, V. V., Sonnenburg, J. L., Deutschbauer, A. M., & Tropini, C. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.10.27.762397
Self-citationIndigenous Yanomami gut microbiota protects against diet-induced metabolic dysfunctionPreprint
Thorp, M., de Carvalho, L. A. L., Ciers, M., Blancke, G., Andries, V., Jans, M., Sanchez, S. G., Pessemier, B. D., Callewaert, C., Good, D., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.10.28.762182
Metabolic specialization in the gut microbiome of aquatic mammalian herbivores
Persinoti, G. F., Martins, M. P., Cardoso-Silva, C. B., Streit, R. S. A., Paixão, D. A. A., Martins, G. H., Higasi, P. M. R., Braatz, G. M., Silva, M. K. D. P., Morão, L. G., et al. (2026) · Nature Microbiology · doi:10.1038/s41564-026-02520-2
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
