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Diet-induced extinctions in the gut microbiota compound over generations
Open accessAbstract
The gut is home to trillions of microorganisms that have fundamental roles in many aspects of human biology, including immune function and metabolism. The reduced diversity of the gut microbiota in Western populations compared to that in populations living traditional lifestyles presents the question of which factors have driven microbiota change during modernization. Microbiota-accessible carbohydrates (MACs) found in dietary fibre have a crucial involvement in shaping this microbial ecosystem, and are notably reduced in the Western diet (high in fat and simple carbohydrates, low in fibre) compared with a more traditional diet. Here we show that changes in the microbiota of mice consuming a low-MAC diet and harbouring a human microbiota are largely reversible within a single generation. However, over several generations, a low-MAC diet results in a progressive loss of diversity, which is not recoverable after the reintroduction of dietary MACs. To restore the microbiota to its original state requires the administration of missing taxa in combination with dietary MAC consumption. Our data illustrate that taxa driven to low abundance when dietary MACs are scarce are inefficiently transferred to the next generation, and are at increased risk of becoming extinct within an isolated population. As more diseases are linked to the Western microbiota and the microbiota is targeted therapeutically, microbiota reprogramming may need to involve strategies that incorporate dietary MACs as well as taxa not currently present in the Western gut.
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In the citing paper
“An inter-generational decrease in fibre has been shown to lead to a reduction or extinction of these fibre-degrading bacteria in a mouse model [103].”
From Effect of Diet on the Gut Microbiota: Rethinking Intervention Duration (2019) · cites this paper as [103]
In the citing paper
“In contrast, multigenerational exposure to a Western diet poor in “microbiota-accessible carbohydrates” result in the extinction of specific bacterial lineages, which might negatively influence the maturation and function of the immune system, and increase the risk of developing a range of metabolic, inflammatory, allergic, and autoimmune diseases (92,94,98).”
From Health Benefits of the Mediterranean Diet: Metabolic and Molecular Mechanisms (2018) · cites this paper as [98]
In the citing paper
“Mice fed a diet low in MACs experience decreases in numerous taxa, and loss of diversity is compounded over several generations of offspring and not recovered after reintroduction of MACs (7, 9).”
From The gut microbiota at the intersection of diet and human health (2018) · cites this paper as [7]
In the citing paper
“In a multigenerational study in mice, the consumption of a Western-style diet exacerbated the loss of microbiota diversity compared with a diet that was rich in microbiota-accessible carbohydrates, and the extinction of taxa corresponded with a predicted loss in diversity of glycoside hydrolases63.”
From Diet–microbiota interactions as moderators of human metabolism (2016) · cites this paper as [63]
In the citing paper
“Low dietary fiber consumption is associated with lower microbiota diversity, fewer anti-pathogenic bacteria and less SCFA production [146], which may lead to inflammation [122] and less sympathetic nervous system stimulation [123]”
From Exercise-induced stress behavior, gut-microbiota-brain axis and diet: a systematic review for athletes (2016) · cites this paper as [112]
In the citing paper
“As mentioned above, each dietary plan is accompanied by a simultaneous adjustment of the microbiota composition and function [112].”
From Exercise-induced stress behavior, gut-microbiota-brain axis and diet: a systematic review for athletes (2016) · cites this paper as [112]
In the citing paper
“It is evident that the consumption of Western-style diets rich in processed, fried and sugar-rich foods and low in plant foods with their constituent fiber and polyphenols can lead to the loss of microbial diversity and function as well as the extinction of important beneficial microbes and expansion of opportunistic pathogens (13,14), with far-reaching consequences for human health.”
From Diet and the Microbiota–Gut–Brain Axis: Sowing the Seeds of Good Mental Health (2021) · cites this paper as [13]
In the citing paper
“Long-term consumption of a Western diet in humans and animals can lead to the extinction of beneficial microbes, decrease bacterial diversity, and drive the microbiota to a predominant Bacteroides-driven enterotype (13,14,116,88).”
From Diet and the Microbiota–Gut–Brain Axis: Sowing the Seeds of Good Mental Health (2021) · cites this paper as [13]
In the citing paper
“Studies have shown that poor dietary habits over a long period of time could lead to the potential extinction of some microbes (13,511).”
From Diet and the Microbiota–Gut–Brain Axis: Sowing the Seeds of Good Mental Health (2021) · cites this paper as [13]
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Cites
QIIME allows analysis of high-throughput community sequencing data
Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887
Search and clustering orders of magnitude faster than BLAST
Edgar, R. C. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq461 · Cited by 21,098
UniFrac: 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
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
The carbohydrate-active enzymes database (CAZy) in 2013
Lombard, V., Ramulu, H. G., Drula, É., Coutinho, P. M., & Henrissat, B. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt1178 · Cited by 6,452
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
Diversity, 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
Quality-filtering vastly improves diversity estimates from Illumina amplicon sequencing
Bokulich, N. A., Subramanian, S., Faith, J. J., Gevers, D., Gordon, J. I., Knight, R. D., Mills, D. A., & Caporaso, J. G. (2012) · Nature Methods · doi:10.1038/nmeth.2276 · Cited by 4,525
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
The 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
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Salinas, E., Reyes-Pavón, D., Cortes‐Perez, N. G., Torres-Maravilla, E., Bitzer-Quintero, O. K., Langella, P., & Bermúdez‐Humarán, L. G. (2021) · Microorganisms · doi:10.3390/microorganisms9081634 · Cited by 45
The longitudinal and cross-sectional heterogeneity of the intestinal microbiota
Miller, B. M., Liou, M. J., Lee, J., & Bäumler, A. J. (2021) · Current Opinion in Microbiology · doi:10.1016/j.mib.2021.08.004 · Cited by 44
Association between dietary patterns and mental disorders in pregnant women in Southern Brazil
Paskulin, J. T. A., Drehmer, M., Olinto, M. T. A., Hoffmann, J. F., Pinheiro, A. P., Schmidt, M. I., & Nunes, M. A. (2017) · Brazilian Journal of Psychiatry · doi:10.1590/1516-4446-2016-2016 · Cited by 44
Guirro, M., Costa, A., Gual‐Grau, A., Mayneris‐Perxachs, J., Torrell-Galceran, H., Herrero, P., Canela-Canela, N., & Arola, L. (2018) · Electrophoresis · doi:10.1002/elps.201700476 · Cited by 43
Xin, Y., Li, X., Zhu, X., Lin, X., Luo, M., Xiao, Y., Ruan, Y., & Guo, H. (2023) · Journal of Nutrition · doi:10.1016/j.tjnut.2023.05.026 · Cited by 43
Qi, X., Li, Y., Fang, C., Jia, Y., Chen, M., Chen, X., & Jia, J. (2023) · Frontiers in Nutrition · doi:10.3389/fnut.2023.1242115 · Cited by 46
The Hoops, Hopes, and Hypes of Human Microbiome Research.
Bik, E. M. (2016) · PubMed Central · Cited by 43
Alves, J. L. D. B., de Oliveira, Y., Carvalho, N., Cavalcante, R. G. S., Lira, M. M. P., do Nascimento, L. C. P., Magnani, M., Vidal, H., Braga, V. A., & de Souza, E. L. (2019) · Pharmacological Research · doi:10.1016/j.phrs.2019.104252 · Cited by 43
In vitro growth of gut microbiota with selenium nanoparticles
Gangadoo, S., Bauer, B. W., Bajagai, Y. S., Van, T. T. H., Moore, R. J., & Stanley, D. (2019) · Animal nutrition · doi:10.1016/j.aninu.2019.06.004 · Cited by 43
Microbiota-Nourishing Immunity: A Guide to Understanding Our Microbial Self
Litvak, Y., & Bäumler, A. J. (2019) · Immunity · doi:10.1016/j.immuni.2019.08.003 · Cited by 43
Wu, C.-C., Tung, Y., Chen, S.-Y., Lee, W.-T., Lin, H.-T., & Yen, G. (2020) · Antioxidants · doi:10.3390/antiox9010058 · Cited by 43
Allaway, D., Haydock, R., Lonsdale, Z. N., Deusch, O., O’Flynn, C., & Hughes, K. R. (2020) · Applied and Environmental Microbiology · doi:10.1128/aem.00562-20 · Cited by 43
Alteration of Gut Microbiota Relates to Metabolic Disorders in Primary Aldosteronism Patients
Liu, Y., Jiang, Q., Liu, Z., Shen, S., Ai, J., Zhu, Y., & Zhou, L. (2021) · Frontiers in Endocrinology · doi:10.3389/fendo.2021.667951 · Cited by 43
Moles, L., Delgado, S., Gorostidi-Aicua, M., Sepúlveda, L., Alberro, A., Iparraguirre, L., Suárez, J. A., Romarate, L., Arruti, M., Castillo‐Triviño, T., et al. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.960761 · Cited by 43
van der Vossen, E. W. J., Davids, M., Bresser, L. R. F., Galenkamp, H., van den Born, B. H., Zwinderman, A. H., Levin, E., Nieuwdorp, M., & de Goffau, M. C. (2023) · Microbiome · doi:10.1186/s40168-023-01488-z · Cited by 42
Çebi, M., & Yilmaz, Y. N. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1575770 · Cited by 42
Yu, G., Hu, N., Wang, L., Wang, C., Han, X., Humphry, M. S., Ravel, J., Abnet, C. C., Taylor, P. R., & Goldstein, A. M. (2017) · International Journal of Cancer · doi:10.1002/ijc.30700 · Cited by 42
Yoshida, N., Sasaki, K., Sasaki, D., Yamashita, T., Fukuda, H., Hayashi, T., Tabata, T., Osawa, R., Hirata, K., & Kondo, A. (2018) · Journal of Atherosclerosis and Thrombosis · doi:10.5551/jat.47415 · Cited by 42
Perspectives on personalised food
Ueland, Ø., Altintzoglou, T., Kirkhus, B., Lindberg, D., Rognså, G. H., Rosnes, J. T., Rud, I., & Varela, P. (2020) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2020.05.021 · Cited by 42
The immune‐supportive diet in allergy management: A narrative review and proposal
Vlieg‐Boerstra, B., Groetch, M., Vassilopoulou, Ε., Meyer, R. W., Laitinen, K., Swain, A., Durban, R., Aalst, O. B., Bottse, R., Grimshaw, K. E. C., et al. (2023) · Allergy · doi:10.1111/all.15687 · Cited by 42
Huang, Z., Li, Y., Park, H., Ho, M., Bhardwaj, K., Sugimura, N., Lee, H. W., Meng, H., Ebert, M. P., Chao, K., et al. (2023) · Gut Microbes · doi:10.1080/19490976.2023.2237645 · Cited by 41
The Bridge Between Ischemic Stroke and Gut Microbes: Short-Chain Fatty Acids
Fang, Z., Chen, M., Qian, J., Wang, C., & Zhang, J. (2022) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-022-01209-4 · Cited by 41
Avolio, E., Olivito, I., Rosina, E., Romano, L., Angelone, T., Bartolo, A. D., Scimeca, M., Bellizzi, D., D’Aquila, P., Passarino, G., et al. (2022) · Neuroscience · doi:10.1016/j.neuroscience.2022.06.038 · Cited by 41
Gut dysbiosis and metabolic diseases
Bandopadhyay, P., & Ganguly, D. (2022) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2022.06.031 · Cited by 42
Galena, A. E., Chai, J., Zhang, J., Bednarzyk, M. S., Perez, D., Ochrietor, J. D., Jahan-Mihan, A., & Arikawa, A. Y. (2022) · PLoS ONE · doi:10.1371/journal.pone.0275275 · Cited by 41
Precise probiotic therapy: Advances, bottlenecks, and the road to microbiome-informed nutrition
Jiang, Y., Jiang, S., Wang, Z., Zhu, P., Zhang, J., Teng, F., & Huang, S. (2026) · Gut Microbes · doi:10.1080/19490976.2026.2623359 · Cited by 41
Human microbiome as therapeutic intervention target to reduce cardiovascular disease risk
Koopen, A. M., Groen, A. K., & Nieuwdorp, M. (2016) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000357 · Cited by 41
Investigation into the stability and culturability of Chinese enterotypes
Yin, Y., Fan, B., Liu, W. Y., Ren, R., Chen, H., Bai, S., Zhu, L., Sun, G., Yang, Y., & Wang, X. (2017) · Scientific Reports · doi:10.1038/s41598-017-08478-w · Cited by 41
Bas-Prior, J. M. D., Guirro, M., Boqué, N., Cereto‐Massagué, A., Ras, R., Crescenti, A., Caimari, A., Canela-Canela, N., & Arola, L. (2017) · International Journal of Obesity · doi:10.1038/ijo.2017.284 · Cited by 41
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Hooks, K. B., & O’Malley, M. A. (2019) · Journal of Eukaryotic Microbiology · doi:10.1111/jeu.12766 · Cited by 41
Willis, H. J., & Slavin, J. L. (2019) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2019.09.017 · Cited by 41
Wang, Y., Zhou, R., Yu, Q., Feng, T., & Li, H. (2020) · FEMS Microbiology Letters · doi:10.1093/femsle/fnaa134 · Cited by 41
Yelverton, C. A., Rafferty, A., Moore, R., Byrne, D. F., Mehegan, J., Cotter, P. D., van Sinderen, D., Murphy, E. F., Killeen, S. L., & McAuliffe, F. M. (2022) · Nutrition · doi:10.1016/j.nut.2021.111582 · Cited by 41
Wang, Y., Li, T., Liu, Y., Yang, C., Liu, L., Zhang, X., & Yang, X. (2022) · Food & Function · doi:10.1039/d2fo02415b · Cited by 41
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Luis, A. S., & Martens, E. C. (2018) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2018.09.012 · Cited by 41
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Weir, T. L., Trikha, S. R. J., & Thompson, H. J. (2020) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2020.06.007 · Cited by 41
Schubert, M., Rohrbach, R., Schmitt, M. W., & Stein‐Thoeringer, C. K. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.670286 · Cited by 40
Synchronous Seasonality in the Gut Microbiota of Wild Mouse Populations
Marsh, K. J., Raulo, A. M., Brouard, M., Troitsky, T. S., English, H. M., Allen, B. E., Raval, R., Venkatesan, S., Pedersen, A. B., Webster, J. P., et al. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.809735 · Cited by 39
A sublingual nanofiber vaccine to prevent urinary tract infections
Kelly, S. H., Votaw, N. L., Cossette, B. J., Wu, Y., Shetty, S., Shores, L. S., Issah, L. A., & Collier, J. H. (2022) · Science Advances · doi:10.1126/sciadv.abq4120 · Cited by 39
Recipe for IBD: can we use food to control inflammatory bowel disease?
Witkowski, M., Witkowski, M., Gagliani, N., & Huber, S. (2017) · Seminars in Immunopathology · doi:10.1007/s00281-017-0658-5 · Cited by 39
Sanz, Y., Romaní‐Pérez, M., Benítez‐Páez, A., Portune, K. J., Brigidi, P., Rampelli, S., Dinan, T., Stanton, C., Delzenne, N. M., Blachier, F., et al. (2018) · Clinical Nutrition · doi:10.1016/j.clnu.2018.07.007 · Cited by 39
Elmeń, L., Zlamal, J. E., Scott, D. A., Lee, R. B., Chen, D. J., Colas, A. R., Rodionov, D. A., & Peterson, S. N. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.00892 · Cited by 39
Gut Microbiota in Tibetan Herdsmen Reflects the Degree of Urbanization
Li, H., Li, T., Li, X., Wang, G.-H., Lin, Q., & Qu, J. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.01745 · Cited by 39
Ostrem Loss, E., Thompson, J., Cheung, P. L. K., Qian, Y., & Venturelli, O. S. (2023) · Nature Ecology & Evolution · doi:10.1038/s41559-022-01930-9 · Cited by 38
Kohl, K. D., Sadowska, E. T., Rudolf, A. M., Dearing, M. D., & Koteja, P. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.00634 · Cited by 38
Basson, A. R., Lam, M. C., & Cominelli, F. (2017) · Gastroenterology Clinics of North America · doi:10.1016/j.gtc.2017.08.002 · Cited by 38
Loss of function dysbiosis associated with antibiotics and high fat, high sugar diet
Miller, A. W., Orr, T. J., Dearing, M. D., & Monga, M. (2019) · The ISME Journal · doi:10.1038/s41396-019-0357-4 · Cited by 38
Reconstructing functional networks in the human intestinal tract using synthetic microbiomes
Shetty, S. A., Smidt, H., & de Vos, W. M. (2019) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2019.03.009 · Cited by 38
Liu, T., Zhang, X., Tian, S., Chen, L., & Yuan, J. (2020) · 3 Biotech · doi:10.1007/s13205-020-2084-y · Cited by 38
y Abreu, A. T. A., Milke-García, M. D. P., Argüello-Arévalo, G. A., de la Barca, A. M. C., Carmona-Sánchez, R., Consuelo‐Sánchez, A., Coss‐Adame, E., Cedillo, M. F. G., Hernández-Rosiles, V., Icaza-Chávez, M. E., et al. (2021) · Revista de Gastroenterología de México (English Edition) · doi:10.1016/j.rgmxen.2021.02.002 · Cited by 38
Duan, C., Huang, L., Zhang, C., Zhang, L., Xia, X., Zhong, Z., Wang, B., Wang, Y., Hoi, M. P. M., Ding, W., et al. (2021) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2021.174338 · Cited by 38
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Dai, R., Kelly, B. N., Ike, A., Berger, D. L., Chan, A. T., Drew, D. A., Ljungman, D., Mutiibwa, D., Ricciardi, R., Tumusiime, G., et al. (2024) · Cancers · doi:10.3390/cancers16030676 · Cited by 38
Taguer, M., & Maurice, C. F. (2016) · Clinical Pharmacology & Therapeutics · doi:10.1002/cpt.366 · Cited by 38
Corrigendum: Inflammatory and Microbiota-Related Regulation of the Intestinal Epithelial Barrier
Barbara, G., Barbaro, M. R., Fuschi, D., Palombo, M., Falangone, F., Cremon, C., Marasco, G., & Stanghellini, V. (2021) · Frontiers in Nutrition · doi:10.3389/fnut.2021.790387 · Cited by 41
Understanding the effects of dietary components on the gut microbiome and human health
Rackerby, B., Kim, H. J., Dallas, D. C., & Park, S. H. (2020) · Food Science and Biotechnology · doi:10.1007/s10068-020-00811-w · Cited by 37
Mohr, A. E., Mach, N., Pugh, J. N., Grosicki, G. J., Allen, J. M., Karl, J. P., & Whisner, C. M. (2025) · FEMS Microbiology Reviews · doi:10.1093/femsre/fuaf037 · Cited by 37
Strategies to increase the efficacy of using gut microbiota for the modulation of obesity
Li, J., Rajoka, M. S. R., Shao, D., Jiang, C., Jin, M., Huang, Q., Yang, H., & Shi, J. (2017) · Obesity Reviews · doi:10.1111/obr.12590 · Cited by 37
Aoe, S., Yamanaka, C., Fuwa, M., Tamiya, T., Nakayama, Y., Miyoshi, T., & Kitazono, E. (2019) · PLoS ONE · doi:10.1371/journal.pone.0218118 · Cited by 37
Shinde, T., Vemuri, R., Shastri, S., Perera, A. P., Gondalia, S. V., Beale, D. J., Karpe, A. V., Eri, R. D., & Stanley, R. A. (2020) · Nutrients · doi:10.3390/nu12082380 · Cited by 37
Interactions between Food Hazards and Intestinal Barrier: Impact on Foodborne Diseases
Li, X., Tan, C. P., Liu, Y., & Xu, Y. (2020) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.0c07378 · Cited by 37
Xu, B., Fu, J., Qiao, Y., Cao, J., Deehan, E. C., Li, Z., Jin, M., Wang, X., & Wang, Y. (2020) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqaa435 · Cited by 37
Food and microbiota in the FDA regulatory framework
Green, J. M., Barratt, M. J., Kinch, M. S., & Gordon, J. I. (2017) · Science · doi:10.1126/science.aan0836 · Cited by 37
Jahansouz, C., Staley, C. M., Kizy, S., Xu, H., Hertzel, A. V., Coryell, J. L., Singroy, S., Hamilton, M. J., DuRand, M., Bernlohr, D., et al. (2018) · Annals of Surgery · doi:10.1097/sla.0000000000002729 · Cited by 37
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Amato, K. R., Jeyakumar, T., Poinar, H. N., & Gros, P. (2019) · BioEssays · doi:10.1002/bies.201900034 · Cited by 36
Wang, L., Jing, N., Liu, X., Jiang, G., & Liu, Z. (2019) · Journal of Functional Foods · doi:10.1016/j.jff.2019.103647 · Cited by 36
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van Leeuwen, P., Mykytczuk, N., Mastromonaco, G. F., & Schulte‐Hostedde, A. I. (2020) · Ecology and Evolution · doi:10.1002/ece3.6221 · Cited by 36
Healey, G. R., Celiberto, L. S., Lee, S. M., & Jacobson, K. (2020) · Nutrients · doi:10.3390/nu12103204 · Cited by 38
Gut microbiota of adults with different metabolic phenotypes
Olivares, P. D. S. G., Pacheco, A. B. F., Aranha, L. N., Oliveira, B. D. S., Santos, A. A., dos Santos, P. C. M., Neto, J. F. N., Rosa, G., & de Oliveira, G. M. M. (2021) · Nutrition · doi:10.1016/j.nut.2021.111293 · Cited by 36
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Bai, S., Zhang, P., Zhang, C., Du, J., Du, X., Zhu, C., Liu, J., Xie, P., & Li, S. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.769012 · Cited by 36
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Gao, Y., Stokholm, J., O’Hely, M., Ponsonby, A., Tang, M. L. K., Ranganathan, S., Saffery, R., Harrison, L. C., Collier, F., Gray, L., et al. (2023) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2023.02.034 · Cited by 35
Sun, J. G., Huang, T., Chen, C., Cao, T.-T., Cheng, K., Liao, X.-P., & Liu, Y.-H. (2017) · Scientific Reports · doi:10.1038/s41598-017-04672-y · Cited by 36
Lee, C. Y., Peralta‐Sánchez, J. M., Martínez‐Bueno, M., Møller, A. P., Rabelo-Ruiz, M., Zamora‐Muñoz, C., & Soler, J. J. (2020) · The ISME Journal · doi:10.1038/s41396-020-0719-y · Cited by 35
The Habitat Filters of Microbiota-Nourishing Immunity
Miller, B. M., & Bäumler, A. J. (2021) · Annual Review of Immunology · doi:10.1146/annurev-immunol-101819-024945 · Cited by 35
Tan, L. Y., Yeo, X. Y., Bae, H., Lee, D. P. S., Ho, R., Kim, J. E., Jo, D., & Jung, S. (2021) · Life · doi:10.3390/life11070698 · Cited by 35
Lagkouvardos, I., Intze, E., Schaubeck, M., Rooney, J. P. K., Hecht, C., Piloquet, H., & Clavel, T. (2022) · American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2022.11.012 · Cited by 35
Dore, J. M., Multon, M.-C., Béhier, J., Affagard, H., Andremont, A., Barthélémy, P., Batitsa, R., Bonneville, M., Bonny, C., Boyaval, G., et al. (2017) · Therapies · doi:10.1016/j.therap.2016.12.007 · Cited by 35
David, I., Canario, L., Combes, S., & Demars, J. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.01058 · Cited by 35
Jones, L., Kumar, J., Mistry, A., Sankar Chittoor Mana, T., Perry, G., Reddy, V. P., & Obrenovich, M. (2019) · Biomedicines · doi:10.3390/biomedicines7020024 · Cited by 34
Karl, J. P., Whitney, C. C., Wilson, M. A., Fagnant, H. S., Radcliffe, P. N., Chakraborty, N., Campbell, R., Hoke, A. V., Gautam, A., Hammamieh, R., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-27463-0 · Cited by 34
Hadza Prevotella require diet-derived microbiota-accessible carbohydrates to persist in mice
Gellman, R., Olm, M. R., Terrapon, N., Enam, F., Higginbottom, S. K., Sonnenburg, J. L., & Sonnenburg, E. D. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.113233 · Cited by 34
Self-citationDietary fiber monosaccharide content alters gut microbiome composition and fermentation
Jensen, N., Maldonado-Gómez, M. X., Krishnakumar, N., Weng, C.-Y., Castillo, J. J., Razi, D., Kalanetra, K. M., German, J. B., Lebrilla, C. B., Mills, D. A., et al. (2024) · Applied and Environmental Microbiology · doi:10.1128/aem.00964-24 · Cited by 34
Game of microbes: the battle within – gut microbiota and multiple sclerosis
Turner, T.-A. J., Lehman, P., Ghimire, S., Shahi, S. K., & Mangalam, A. K. (2024) · Gut Microbes · doi:10.1080/19490976.2024.2387794 · Cited by 33
Prebiotics and Gut Health: Mechanisms, Clinical Evidence, and Future Directions
Monteiro, C. R. A. V., Bogéa, E. G., Campos, C. D. L., Filho, J. L. P., Almeida, V. S. S., Vale, A. Á. M., de Azevedo-Santos, A. P. S., & Monteiro‐Neto, V. (2026) · Nutrients · doi:10.3390/nu18030372 · Cited by 36
Lupien‐Meilleur, J., Andrich, D. E., Quinn, S., Micaelli-Baret, C., St-Amand, R., Roy, D., & St-Pierre, D. H. (2019) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2019.10.006 · Cited by 34
Immunomodulation by foods and microbes: Unravelling the molecular tango
Forde, B. M., Yao, L., Shaha, R., Murphy, S., Lunjani, N., & O’Mahony, L. (2022) · Allergy · doi:10.1111/all.15455 · Cited by 35
Queen, J., Shaikh, F. Y., & Sears, C. L. (2023) · Nature Cancer · doi:10.1038/s43018-023-00602-2 · Cited by 34
Oduro-Donkor, D., Turner, M. C., Farnaud, S., Renshaw, D., Kyrou, I., Hanson, P., Hattersley, J., Weickert, M. O., Menon, V., Randeva, H. S., et al. (2020) · Expert Review of Endocrinology & Metabolism · doi:10.1080/17446651.2020.1801412 · Cited by 33
Wang, R., Afzal, A., Jing, X.-Y., Zhou, Y., Feng, J.-X., Chen, Z., Cao, D., & Liu, X. (2026) · Acta Pharmacologica Sinica · doi:10.1038/s41401-025-01693-6 · Cited by 33
Thakkar, R., Tunçil, Y. E., Hamaker, B. R., & Lindemann, S. R. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.01009 · Cited by 33
Kowalska, K., Brodowski, J., Pokorska‐Niewiada, K., & Szczuko, M. (2020) · Nutrients · doi:10.3390/nu12102986 · Cited by 33
Chen, F., Bao, X., Liu, S., Ye, K., Xiang, S., Liting, Y., Xu, Q., Zhang, Y., Wang, X., Zhu, X., et al. (2021) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-020-11086-w · Cited by 33
Wang, T., Chen, L., Huang, P., Yang, T., Zhang, S., Zhao, L., Chen, L., Ye, Z., Luo, L., & Qin, J. (2021) · Scientific Reports · doi:10.1038/s41598-021-84901-7 · Cited by 33
Zhao, J., Hu, J., & Ma, X. (2021) · Food & Function · doi:10.1039/d1fo01975a · Cited by 33
Muthyala, S. D. V., Shankar, S., Klemashevich, C. L., Blazier, J. C., Hillhouse, A., & Wu, C. (2022) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2022.108999 · Cited by 33
Rangarajan, A. A., Chia, H. E., Azaldegui, C. A., Olszewski, M., Pereira, G. V., Koropatkin, N. M., & Biteen, J. S. (2022) · Microbiology · doi:10.1099/mic.0.001180 · Cited by 33
Huang, K., Li, Z., He, X., Dai, J., Huang, B., Shi, Y., Fan, D., Zhang, Z., Liu, Y., Li, N., et al. (2024) · Cell Metabolism · doi:10.1016/j.cmet.2024.01.014 · Cited by 32
Rethinking the classification of non‐digestible carbohydrates: Perspectives from the gut microbiome
Fan, S., Zhang, Z., Nie, Q., Ackah, M., & Nie, S. (2024) · Comprehensive Reviews in Food Science and Food Safety · doi:10.1111/1541-4337.70046 · Cited by 32
Zhang, X., Cui, Q., Li, Y., Zhu, J., Mao, Y., Yin, R. H., Shao, H., Wang, W., Sun, X., Zhang, Z., et al. (2025) · Gut Microbes · doi:10.1080/19490976.2025.2531210 · Cited by 34
Prebiotics as a modulator of gut microbiota in paediatric obesity
Nicolucci, A. C., & Reimer, R. A. (2016) · Pediatric Obesity · doi:10.1111/ijpo.12140 · Cited by 32
Metadata
- Authors
- Sonnenburg, E. D., Smits, S. A., Tikhonov, M., Higginbottom, S. K., Wingreen, N. S., & Sonnenburg, J. L.
- Affiliations
- Stanford Medicine (US)
- Harvard University (US)
- Princeton University (US)
- Corresponding author
- Sonnenburg, Justin L.
- ORCID
- Venue
- Nature
- Published
- 2016-01-13
- Volume
- 529
- Issue
- 7585
- Pages
- 212-215
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC4850918
- OpenAlex
- W2484230073
- Cited by
- 1,730
- References
- 26
- Citations by year
- 2026: 92 · 2025: 135 · 2024: 162 · 2023: 158 · 2022: 192 · 2021: 231 · 2020: 210 · 2019: 178 · 2018: 139 · 2017: 139 · 2016: 91
- FWCI
- 94.73
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK085025)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Medicine › Gastroenterology › Gastrointestinal motility and disorders
- Health Sciences › Nursing › Nutrition and Dietetics › Microbial Metabolites in Food Biotechnology
- Keywords
- gut microbiota, dietary fiber, low-fiber diet, gut microbiota diversity, intergenerational transfers, Bacteroidales, fecal microbiota transplantation, dysbiosis, Western diet, dietary intervention, human microbiota, microbiota transfer
- MeSH terms
- Gastrointestinal Microbiome, Fecal Microbiota Transplantation, Adult, Animals, Diet, Dietary Carbohydrates, Dietary Fiber, Female, Fermentation, Germ-Free Life, Humans, Male, Pedigree, Bacteroidetes, Gastrointestinal Tract, Mice, Extinction, Biological, Healthy Volunteers
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