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Structural variation in the gut microbiome associates with host health
Open accessAbstract
Differences in the presence of even a few genes between otherwise identical bacterial strains may result in critical phenotypic differences. Here we systematically identify microbial genomic structural variants (SVs) and find them to be prevalent in the human gut microbiome across phyla and to replicate in different cohorts. SVs are enriched for CRISPR-associated and antibiotic-producing functions and depleted from housekeeping genes, suggesting that they have a role in microbial adaptation. We find multiple associations between SVs and host disease risk factors, many of which replicate in an independent cohort. Exploring genes that are clustered in the same SV, we uncover several possible mechanistic links between the microbiome and its host, including a region in Anaerostipes hadrus that encodes a composite inositol catabolism-butyrate biosynthesis pathway, the presence of which is associated with lower host metabolic disease risk. Overall, our results uncover a nascent layer of variability in the microbiome that is associated with microbial adaptation and host health.
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“recent findings have identified an elementary layer of variability in the microbiome identified as microbial genomic structural variants (the term pertaining to the existence of a few genes which are different between otherwise identical bacterial strains) that are specifically unique to the host microbiota and demonstrate a strong association with host metabolic health (Zeevi et al., 2019).”
From The Microbiota-Gut-Brain Axis (2019) · cites this paper as Zeevi et al., 2019
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Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
KEGG: Kyoto Encyclopedia of Genes and Genomes
Kanehisa, M. (2000) · Nucleic Acids Research · doi:10.1093/nar/28.1.27 · Cited by 37,077
KEGG: Kyoto Encyclopedia of Genes and Genomes
Ogata, H., Goto, S., Sato, K., Fujibuchi, W., Bono, H., & Kanehisa, M. (1999) · Nucleic Acids Research · doi:10.1093/nar/27.1.29 · Cited by 31,232
Fast and sensitive protein alignment using DIAMOND
Buchfink, B., Xie, C., & Huson, D. H. (2015) · Nature Methods · doi:10.1038/nmeth.3176 · Cited by 14,201
A metagenome-wide association study of gut microbiota in type 2 diabetes
Qin, J., Li, Y., Cai, Z., Li, S., Zhu, J., Zhang, F., Liang, S., Zhang, W., Guan, Y., Shen, D., et al. (2012) · Nature · doi:10.1038/nature11450 · Cited by 6,762
The Pfam protein families database in 2019
El-Gebali, S., Mistry, J., Bateman, A., Eddy, S. R., Luciani, A., Potter, S. C., Qureshi, M., Richardson, L. J., Salazar, G. A., Smart, A., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky995 · Cited by 4,602
Kraken: ultrafast metagenomic sequence classification using exact alignments
Wood, D. E., & Salzberg, S. L. (2014) · Genome Biology · doi:10.1186/gb-2014-15-3-r46 · Cited by 4,521
Intestinal microbiota metabolism of l-carnitine, a nutrient in red meat, promotes atherosclerosis
Koeth, R. A., Wang, Z., Levison, B. S., Buffa, J. A., Org, E., Sheehy, B. T., Britt, E. B., Fu, X., Wu, Y., Li, L., et al. (2013) · Nature Medicine · doi:10.1038/nm.3145 · Cited by 4,386
The innate immune response to bacterial flagellin is mediated by Toll-like receptor 5
Hayashi, F., Smith, K. D., Ozinsky, A., Hawn, T. R., Yi, E. C., Goodlett, D. R., Eng, J. K., Akira, S., Underhill, D. M., & Aderem, A. A. (2001) · Nature · doi:10.1038/35074106 · Cited by 3,605
Gut metagenome in European women with normal, impaired and diabetic glucose control
Karlsson, F. H., Tremaroli, V., Nookaew, I., Bergström, G., Behre, C. J., Fagerberg, B., Nielsen, J., & Bäckhed, F. (2013) · Nature · doi:10.1038/nature12198 · Cited by 3,115
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“We therefore tested for specific bacterial genomic regions that may be responsible for the variation in metabolic output between the groups using the recently described method that associates structurally variable genomic regions to metabolite abundances (SV association) (Zeevi et al., 2019).”
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Bar, N., Korem, T., Weissbrod, O., Zeevi, D., Rothschild, D., Leviatan, S., Kosower, N., Lotan‐Pompan, M., Weinberger, A., Roy, C. I. L., et al. (2020) · Nature · doi:10.1038/s41586-020-2896-2 · Cited by 440
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Self-citationChen, L., Zhernakova, D. V., Kurilshikov, A., Andreu-Sánchez, S., Wang, D., Augustijn, H. E., Vich Vila, A., Study, L. C., Weersma, R. K., Medema, M. H., et al. (2022) · Nature Medicine · doi:10.1038/s41591-022-02014-8 · Cited by 327
Self-citationZhang, Z., Tang, H., Chen, P., Xie, H., & Tao, Y. (2019) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-019-0074-5 · Cited by 263
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Self-citationKokou, F., Sasson, G., Friedman, J., Eyal, S., Ovadia, O., Harpaz, S., Cnaani, A., & Mizrahi, I. (2019) · Nature Microbiology · doi:10.1038/s41564-019-0560-0 · Cited by 208
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Chae, Y., & An, Y. (2020) · Environmental Science Nano · doi:10.1039/c9en01335k · Cited by 194
Host genetic regulation of human gut microbial structural variation
Zhernakova, D. V., Wang, D., Liu, L., Andreu-Sánchez, S., Zhang, Y., Ruiz-Moreno, A. J., Peng, H., Plomp, N., Del Castillo-Izquierdo, Á., Gacesa, R., et al. (2024) · Nature · doi:10.1038/s41586-023-06893-w · Cited by 174
Self-citationMacroecological laws describe variation and diversity in microbial communities
Grilli, J. (2020) · Nature Communications · doi:10.1038/s41467-020-18529-y · Cited by 170
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Liu, L., Wang, H., Zhang, H., Chen, X., Zhang, Y., Wu, J. Y., Zhao, L., Wang, D., Pu, J., Ji, P., et al. (2022) · Advanced Science · doi:10.1002/advs.202203707 · Cited by 162
Feng, D., Zhang, H., Jiang, X., Zou, J., Li, Q., Mai, H., Su, D., Ling, W., & Feng, X. (2020) · Environmental Pollution · doi:10.1016/j.envpol.2020.114880 · Cited by 165
The gut microbiota contributes to the pathogenesis of anorexia nervosa in humans and mice
Fan, Y., Støving, R. K., Ibraim, S. B., Hyötyläinen, T., Thirion, F., Arora, T., Lyu, L., Stankevič, E., Hansen, T. H., Déchelotte, P., et al. (2023) · Nature Microbiology · doi:10.1038/s41564-023-01355-5 · Cited by 159
Strain-level epidemiology of microbial communities and the human microbiome
Yan, Y., Nguyen, L. H., Franzosa, E. A., & Huttenhower, C. (2020) · Genome Medicine · doi:10.1186/s13073-020-00765-y · Cited by 149
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Chanda, D., & De, D. (2024) · Gut Microbes · doi:10.1080/19490976.2024.2304900 · Cited by 119
Short- and long-read metagenomics expand individualized structural variations in gut microbiomes
Chen, L., Zhao, N., Cao, J., Liu, X., Xu, J., Ma, Y., Yu, Y., Zhang, X., Zhang, W., Guan, X., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-30857-9 · Cited by 108
Ni, Y., Hu, L., Yang, S., Ni, L., Ma, L., Zhao, Y., Zheng, A., Jin, Y., & Fu, Z. (2021) · Chemosphere · doi:10.1016/j.chemosphere.2021.130952 · Cited by 107
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Yang, S.-Y., Han, S. M., Lee, J., Kim, K. S., Lee, J. E., & Lee, D. (2025) · Journal of Microbiology and Biotechnology · doi:10.4014/jmb.2412.12001 · Cited by 119
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Dai, Z., Zhang, J., Wu, Q., Fang, H., Shi, C., Li, Z., Lin, C., Tang, D., & Wang, D. (2020) · Cell Communication and Signaling · doi:10.1186/s12964-020-00599-6 · Cited by 98
Levi, I., Gurevich, M., Perlman, G., Magalashvili, D., Menascu, S., Bar, N., Godneva, A., Zahavi, L., Chermon, D., Kosower, N., et al. (2021) · Cell Reports Medicine · doi:10.1016/j.xcrm.2021.100246 · Cited by 99
Self-citationGut microbiota of Tibetans and Tibetan pigs varies between high and low altitude environments
Zeng, B., Zhang, S., Xu, H., Kong, F., Yu, X., Wang, P., Yang, M., Li, D., Zhang, M., Ni, Q., et al. (2020) · Microbiological Research · doi:10.1016/j.micres.2020.126447 · Cited by 93
Emerging role of gut microbiota in autoimmune diseases
Wang, X., Yuan, W., Yang, C., Wang, Z., Zhang, J., Xu, D., Sun, X., & Sun, W. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1365554 · Cited by 104
Wang, D., Doestzada, M., Chen, L., Andreu‐Sánchez, S., van den Munckhof, I., Augustijn, H. E., Koehorst, M., Ruiz-Moreno, A. J., Bloks, V. W., Riksen, N. P., et al. (2021) · Cell Host & Microbe · doi:10.1016/j.chom.2021.11.003 · Cited by 96
Self-citationThe Therapeutic Effect of SCFA-Mediated Regulation of the Intestinal Environment on Obesity
You, H., Tan, Y., Yu, D., Qiu, S., Bai, Y., He, J., Cao, H., Che, Q., Guo, J., & Su, Z. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.886902 · Cited by 96
Hu, X., Li, H., Zhao, X., Zhou, R., Liu, H., Sun, Y., Fan, Y., Shi, Y., Qiao, S., Liu, S., et al. (2021) · Theranostics · doi:10.7150/thno.55946 · Cited by 89
Microbiome epidemiology and association studies in human health
VanEvery, H., Franzosa, E. A., Nguyen, L. H., & Huttenhower, C. (2022) · Nature Reviews Genetics · doi:10.1038/s41576-022-00529-x · Cited by 86
Palmnäs, M. S. A., Brunius, C. F., Shi, L. S., Rostgaard-Hansen, A., Estanyol-Torres, N., González‐Domínguez, R., Zamora‐Ros, R., Ye, Y. L., Halkjær, J., Tjønneland, A. M., et al. (2019) · Advances in Nutrition · doi:10.1093/advances/nmz121 · Cited by 92
Ma, J., Sheng, G., Chen, Q., & O’Connor, P. (2020) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2019.122012 · Cited by 84
Park, S.-Y., Rao, C., Coyte, K. Z., Kuziel, G. A., Zhang, Y., Huang, W., Franzosa, E. A., Weng, J., Huttenhower, C., & Rakoff-Nahoum, S. (2022) · Cell · doi:10.1016/j.cell.2022.01.002 · Cited by 85
Vogl, T. J., Klompus, S., Leviatan, S., Kalka, I. N., Weinberger, A., Wijmenga, C., Fu, J., Zhernakova, A., Weersma, R. K., & Segal, E. (2021) · Nature Medicine · doi:10.1038/s41591-021-01409-3 · Cited by 83
Self-citationGut microbial metabolome in inflammatory bowel disease: From association to therapeutic perspectives
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Mohr, A. E., Sweazea, K. L., Bowes, D. A., Jasbi, P., Whisner, C. M., Sears, D. D., Krajmalnik-Brown, R., Jin, Y., Gu, H., Klein-Seetharaman, J., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-48355-5 · Cited by 80
Tomofuji, Y., Maeda, Y., Oguro-Igashira, E., Kishikawa, T., Yamamoto, K., Sonehara, K., Motooka, D., Matsumoto, Y., Matsuoka, H., Yoshimura, M., et al. (2021) · Annals of the Rheumatic Diseases · doi:10.1136/annrheumdis-2021-220687 · Cited by 75
Wang, T., Zhang, X., Chen, A., Zhang, J., Lv, B., Ma, M.-H., Lian, J., Wu, Y., Zhou, Y.-T., Ma, C., et al. (2020) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-020-10689-7 · Cited by 75
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Zhu, Q., Hou, Q., Huang, S. W., Ou, Q., Huo, D., Vázquez‐Baeza, Y., Cen, C., Cantu, V., Estaki, M., Chang, H., et al. (2021) · The ISME Journal · doi:10.1038/s41396-021-01016-7 · Cited by 69
Sen, P., Fan, Y., Schlezinger, J. J., Ehrlich, S. D., Webster, T. F., Hyötyläinen, T., Pedersen, O. B., & Orešič, M. (2024) · Environment International · doi:10.1016/j.envint.2024.108569 · Cited by 72
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Shenhav, L., & Zeevi, D. (2020) · Science · doi:10.1126/science.aaz9642 · Cited by 63
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Microdiversity of the vaginal microbiome is associated with preterm birth
Liao, J., Shenhav, L., Urban, J. A., Serrano, M. G., Zhu, B., Buck, G. A., & Korem, T. (2023) · Nature Communications · doi:10.1038/s41467-023-40719-7 · Cited by 64
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Guthrie, L., Spencer, S. P., Perelman, D., Treuren, W. V., Han, S., Yu, F. B., Sonnenburg, E. D., Fischbach, M. A., Meyer, T. W., & Sonnenburg, J. L. (2022) · Cell Host & Microbe · doi:10.1016/j.chom.2022.05.003 · Cited by 61
Gulyaeva, A. A., Garmaeva, S., Ruigrok, R. A. A. A., Wang, D., Riksen, N. P., Netea, M. G., Wijmenga, C., Weersma, R. K., Fu, J., Vila, A. V., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2021.110204 · Cited by 56
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Wolff, R., Shoemaker, W. R., & Garud, N. R. (2023) · mBio · doi:10.1128/mbio.02502-22 · Cited by 68
Rothschild, D., Leviatan, S., Hanemann, A., Cohen, Y., Weissbrod, O., & Segal, E. (2022) · PLoS ONE · doi:10.1371/journal.pone.0265756 · Cited by 60
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Caputo, M., Bona, E., Leone, I., Samà, M. T., Nuzzo, A., Ferrero, A., Aimaretti, G., Marzullo, P., & Prodam, F. (2020) · Journal of Traditional and Complementary Medicine · doi:10.1016/j.jtcme.2020.03.005 · Cited by 60
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Zahavi, L., Lavon, A., Reicher, L., Shoer, S., Godneva, A., Leviatan, S., Rein, M., Weissbrod, O., Weinberger, A., & Segal, E. (2023) · Nature Medicine · doi:10.1038/s41591-023-02599-8 · Cited by 58
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Shilo, S., Bar, N., Keshet, A., Talmor‐Barkan, Y., Rossman, H., Godneva, A., Aviv, Y., Edlitz, Y., Reicher, L., Kolobkov, D. S., et al. (2021) · European Journal of Epidemiology · doi:10.1007/s10654-021-00753-5 · Cited by 55
Self-citationHuang, Y., Lu, W., Zeng, M., Hu, X., Su, Z., Liu, Y., Liu, Z., Yuan, J., Li, L., Zhang, X., et al. (2022) · Microbiome · doi:10.1186/s40168-022-01437-2 · Cited by 59
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Depommier, C., Everard, A., Druart, C., Maiter, D. M., Thissen, J., Loumaye, A., Hermans, M. P., Delzenne, N. M., de Vos, W. M., & Cani, P. D. (2021) · Gut Microbes · doi:10.1080/19490976.2021.1994270 · Cited by 59
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Yılmaz, B., Fuhrer, T., Morgenthaler, D., Krupka, N., Wang, D., Spari, D., Candinas, D., Misselwitz, B., Beldi, G., Sauer, U., et al. (2022) · Cell Host & Microbe · doi:10.1016/j.chom.2022.10.002 · Cited by 57
Luo, H., Li, M., Wang, F., Yang, Y., Wang, Q. L., Zhao, Y., Du, F., Chen, Y., Shen, J., Zhao, Q., et al. (2022) · International Journal of Biological Sciences · doi:10.7150/ijbs.72600 · Cited by 57
Effect of the Degree of Polymerization of Fructans on Ex Vivo Fermented Human Gut Microbiome
Astó, E., Méndez, I., Rodríguez-Prado, M., Cuñé, J., Espadaler, J., & Farrán-Codina, A. (2019) · Nutrients · doi:10.3390/nu11061293 · Cited by 57
Osteoarthritis Can Also Start in the Gut: The Gut–Joint Axis
Gleason, B., Chisari, E., & Parvizi, J. (2022) · Indian Journal of Orthopaedics · doi:10.1007/s43465-021-00473-8 · Cited by 55
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Gut microbial structural variation associates with immune checkpoint inhibitor response
Liu, R., Zou, Y., Wang, W.-Q., Chen, J.-H., Zhang, L., Feng, J., Yin, J.-Y., Mao, X.-Y., Li, Q., Luo, Z.-Y., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-42997-7 · Cited by 45
Seo, K., Lee, H. G., Eor, J. Y., Jeon, H. J., YOKOYAMA, W. H., & Kim, H. (2022) · Food Research International · doi:10.1016/j.foodres.2022.111445 · Cited by 49
Fang, X. D., Vázquez‐Baeza, Y., Elijah, E. O., Vargas, F., Ackermann, G. L., Humphrey, G., Lau, R., Weldon, K. C., Sanders, J. G., Panitchpakdi, M. W., et al. (2020) · Inflammatory Bowel Diseases · doi:10.1093/ibd/izaa262 · Cited by 44
Li, X., Xie, E., Sun, S., Shen, J., Ding, Y., Wang, J., Peng, X., Zheng, R., Farag, M. A. F., & Xiao, J. (2025) · Journal of Advanced Research · doi:10.1016/j.jare.2025.01.014 · Cited by 48
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Lu, D., Huang, Y., Kong, Y., Tao, T., & Zhu, X. M. (2020) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2020.110784 · Cited by 47
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Jie, Z., Liang, S., Ding, Q., Li, F., Tang, S., Wang, D., Lin, Y., Chen, P., Cai, K., Qiu, X., et al. (2021) · Medicine in Microecology · doi:10.1016/j.medmic.2021.100039 · Cited by 43
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Liu, X., Cheng, Y., Shao, L., Sun, S., Wu, J., Song, Q., Hong-sheng, Z., & Ling, Z. (2021) · World Journal of Gastroenterology · doi:10.3748/wjg.v27.i19.2394 · Cited by 42
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Ghazi, A. R., Münch, P. C., Chen, D., Jensen, J., & Huttenhower, C. (2022) · Journal of Molecular Biology · doi:10.1016/j.jmb.2022.167582 · Cited by 44
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Joseph, T., & Pe’er, I. (2021) · Methods in molecular biology · doi:10.1007/978-1-0716-1103-6_6 · Cited by 43
Chen, J., Li, H., Hird, S. M., Chen, M., Xu, W., Maas, K. R., & Cong, X. S. (2021) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2021.671074 · Cited by 40
Beteri, B., Barone, M., Turroni, S., Brigidi, P., Tzortzis, G., Vulevic, J., Sekulic, K., Motei, D. E., & Costabile, A. (2024) · Nutrients · doi:10.3390/nu16142205 · Cited by 42
Tang, B., Tang, L., He, W., Jiang, X., Hu, C.-J., Li, Y., Zhang, Y., Pang, K., Lei, Y., Li, S., et al. (2022) · Cell Reports Medicine · doi:10.1016/j.xcrm.2022.100752 · Cited by 42
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Kwa, W. T., Sundarajoo, S., Toh, K. Y., & Lee, J. W. J. (2023) · Singapore Medical Journal · doi:10.4103/singaporemedj.smj-2021-432 · Cited by 40
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Huang, X., Fang, Q. Z., Rao, T., Zhou, L., Zeng, X., Tan, Z., Chen, L., & Ouyang, D. (2020) · Toxicology and Applied Pharmacology · doi:10.1016/j.taap.2020.114900 · Cited by 38
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Wang, Y., Dong, Q., Hu, S., Zou, H., Wu, T., Shi, J., Zhang, H., Sheng, Y., Sun, W., Kong, X., et al. (2022) · iMeta · doi:10.1002/imt2.14 · Cited by 34
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Metadata
- Authors
- Zeevi, D., Korem, T., Godneva, A., Bar, N., Kurilshikov, A., Lotan-Pompan, M., Weinberger, A., Fu, J., Wijmenga, C., Zhernakova, A., & Segal, E.
- Affiliations
- Weizmann Institute of Science (IL)
- Columbia University Irving Medical Center (US)
- University Medical Center Groningen (NL)
- Corresponding author
- Zeevi, David
- Segal, Eran
- ORCID
- Venue
- Nature
- Published
- 2019-03-27
- Volume
- 568
- Issue
- 7750
- Pages
- 43-48
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2924485771
- Cited by
- 351
- References
- 53
- Citations by year
- 2026: 33 · 2025: 40 · 2024: 58 · 2023: 46 · 2022: 55 · 2021: 51 · 2020: 45 · 2019: 23
- FWCI
- 14.39
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- other-oa
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, other-oa)
- Funders
- James S. McDonnell Foundation
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (864.13.013, 016.Vidi.178.056)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Keywords
- gut microbiota, structural variants, bacterial genomes, antibiotic production, Anaerostipes hadrus, metabolic disorders, host-microbe interactions, bacterial adaptation
- MeSH terms
- Gastrointestinal Microbiome, Host Microbial Interactions, Adaptation, Physiological, Bacteria, Butyrates, Disease Susceptibility, Eubacterium, Feces, Genes, Bacterial, Health, Humans, Inositol, Risk Factors, Genetic Variation, Cohort Studies, Ecosystem, Microbial Viability, Metagenomics
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