Modulation of the human gut microbiota by dietary fibres occurs at the species level
Open accessAbstract
BACKGROUND: Dietary intake of specific non-digestible carbohydrates (including prebiotics) is increasingly seen as a highly effective approach for manipulating the composition and activities of the human gut microbiota to benefit health. Nevertheless, surprisingly little is known about the global response of the microbial community to particular carbohydrates. Recent in vivo dietary studies have demonstrated that the species composition of the human faecal microbiota is influenced by dietary intake. There is now potential to gain insights into the mechanisms involved by using in vitro systems that produce highly controlled conditions of pH and substrate supply. RESULTS: We supplied two alternative non-digestible polysaccharides as energy sources to three different human gut microbial communities in anaerobic, pH-controlled continuous-flow fermentors. Community analysis showed that supply of apple pectin or inulin resulted in the highly specific enrichment of particular bacterial operational taxonomic units (OTUs; based on 16S rRNA gene sequences). Of the eight most abundant Bacteroides OTUs detected, two were promoted specifically by inulin and six by pectin. Among the Firmicutes, Eubacterium eligens in particular was strongly promoted by pectin, while several species were stimulated by inulin. Responses were influenced by pH, which was stepped up, and down, between 5.5, 6.0, 6.4 and 6.9 in parallel vessels within each experiment. In particular, several experiments involving downshifts to pH 5.5 resulted in Faecalibacterium prausnitzii replacing Bacteroides spp. as the dominant sequences observed. Community diversity was greater in the pectin-fed than in the inulin-fed fermentors, presumably reflecting the differing complexity of the two substrates. CONCLUSIONS: We have shown that particular non-digestible dietary carbohydrates have enormous potential for modifying the gut microbiota, but these modifications occur at the level of individual strains and species and are not easily predicted a priori. Furthermore, the gut environment, especially pH, plays a key role in determining the outcome of interspecies competition. This makes it crucial to put greater effort into identifying the range of bacteria that may be stimulated by a given prebiotic approach. Both for reasons of efficacy and of safety, the development of prebiotics intended to benefit human health has to take account of the highly individual species profiles that may result.
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Limited food choice is a direct selective pressure on gut microbes because different microbes have preferred substrates; for example, Roseburia and Bacteroides are sensitive to dietary carbohydrate and protein, respectively, and the proportion of Bacteroidetes depends on the type of dietary fiber that reaches the colon.
“Limited food choice is a direct selective pressure as different microbes have their preferred substrates, e.g., Roseburia and Bacteroides are sensitive to dietary carbohydrate and protein, respectively, and the proportion of Bacteroidetes is dependent on the type of dietary fiber that reaches the colon [71,72,73].”
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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 · see citing works
Schloss, P. D., Westcott, S. L., Ryabin, T., Hall, J. R., Hartmann, M., Hollister, E. B., Lesniewski, R. A., Oakley, B. B., Parks, D. H., Robinson, C. J., et al. (2009) · Applied and Environmental Microbiology · doi:10.1128/aem.01541-09 · Cited by 20,966 · see citing works
Naive Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy
Wang, Q., Garrity, G. M., Tiedje, J. M., & Cole, J. R. (2007) · Applied and Environmental Microbiology · doi:10.1128/aem.00062-07 · Cited by 19,770 · see citing works
Metagenomic biomarker discovery and explanation
Segata, N., Izard, J., Waldron, L., Gevers, D., Miropolsky, L., Garrett, W. S., & Huttenhower, C. (2011) · Genome Biology · doi:10.1186/gb-2011-12-6-r60 · Cited by 16,192 · see citing works
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 · see citing works
Kozich, J. J., Westcott, S. L., Baxter, N. T., Highlander, S. K., & Schloss, P. D. (2013) · Applied and Environmental Microbiology · doi:10.1128/aem.01043-13 · Cited by 7,004 · see citing works
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 6,355 · see citing works
The 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 5,947 · see citing works
Richness of human gut microbiome correlates with metabolic markers
Le Chatelier, E., Nielsen, T., Qin, J., Prifti, E., Hildebrand, F., Falony, G., Almeida, M., Arumugam, M., Batto, J.-M., Kennedy, S., et al. (2013) · Nature · doi:10.1038/nature12506 · Cited by 4,662 · see citing works
Self-citationSokol, H., Pigneur, B., Watterlot, L., Lakhdari, O., Bermúdez-Humarán, L. G., Gratadoux, J.-J., Blugeon, S., Bridonneau, C., Furet, J.-P., Corthier, G., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0804812105 · Cited by 4,413 · see citing works
The role of the gut microbiota in nutrition and health
Flint, H. J., Scott, K. P., Louis, P., & Duncan, S. H. (2012) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2012.156 · Cited by 2,203 · see citing works
Self-citationIntestinal homeostasis and its breakdown in inflammatory bowel disease
Maloy, K., & Powrie, F. (2011) · Nature · doi:10.1038/nature10208 · Cited by 1,865 · see citing works
The abundance and variety of carbohydrate-active enzymes in the human gut microbiota
Kaoutari, A. E., Armougom, F., Gordon, J. I., Raoult, D., & Henrissat, B. (2013) · Nature Reviews Microbiology · doi:10.1038/nrmicro3050 · Cited by 1,683 · see citing works
Dominant and diet-responsive groups of bacteria within the human colonic microbiota
Walker, A. W., Ince, J., Duncan, S. H., Webster, L. M., Holtrop, G., Ze, X., Brown, D., Stares, M. D., Scott, P., Bergerat, A., et al. (2011) · The ISME Journal · doi:10.1038/ismej.2010.118 · Cited by 1,632 · see citing works
Self-citationRemoving Noise From Pyrosequenced Amplicons
Quince, C., Lanzén, A., Davenport, R. J., & Turnbaugh, P. J. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-38 · Cited by 1,584 · see citing works
Statistical Methods for Detecting Differentially Abundant Features in Clinical Metagenomic Samples
White, J. R., Nagarajan, N., & Pop, M. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000352 · Cited by 1,581 · see citing works
Reichardt, N., Duncan, S. H., Young, P., Belenguer, Á., Leitch, E. C. M., Scott, K. P., Flint, H. J., & Louis, P. (2014) · The ISME Journal · doi:10.1038/ismej.2014.14 · Cited by 1,302 · see citing works
Self-citationPectin, a versatile polysaccharide present in plant cell walls
Voragen, A. G. J., Coenen, G. J., Verhoef, R., & Schols, H. A. (2009) · Structural Chemistry · doi:10.1007/s11224-009-9442-z · Cited by 1,230 · see citing works
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 · see citing works
Duncan, S. H., Louis, P., & Flint, H. J. (2004) · Applied and Environmental Microbiology · doi:10.1128/aem.70.10.5810-5817.2004 · Cited by 1,124 · see citing works
Self-citationBelenguer, A., Duncan, S. H., Calder, A. G., Holtrop, G., Louis, P., Lobley, G. E., & Flint, H. J. (2006) · Applied and Environmental Microbiology · doi:10.1128/aem.72.5.3593-3599.2006 · Cited by 856 · see citing works
Self-citationRamirez-Farias, C., Slezak, K., Fuller, Z., Duncan, A., Holtrop, G., & Louis, P. (2008) · British Journal of Nutrition · doi:10.1017/s0007114508019880 · Cited by 822 · see citing works
Self-citationThe complex transcriptional landscape of the anucleate human platelet
Bray, P. F., McKenzie, S. E., Edelstein, L. C., Nagalla, S., Delgrosso, K., Ertel, A., Kupper, J., Jing, Y., Londin, E., Loher, P., et al. (2013) · BMC Genomics · doi:10.1186/1471-2164-14-1 · Cited by 802 · see citing works
Walker, A. W., Duncan, S. H., McWilliam Leitch, E. C., Child, M. W., & Flint, H. J. (2005) · Applied and Environmental Microbiology · doi:10.1128/aem.71.7.3692-3700.2005 · Cited by 796 · see citing works
Self-citationThe role of pH in determining the species composition of the human colonic microbiota
Duncan, S. H., Louis, P., Thomson, J. M., & Flint, H. J. (2009) · Environmental Microbiology · doi:10.1111/j.1462-2920.2009.01931.x · Cited by 786 · see citing works
Self-citationLouis, P., Young, P., Holtrop, G., & Flint, H. J. (2009) · Environmental Microbiology · doi:10.1111/j.1462-2920.2009.02066.x · Cited by 783 · see citing works
Self-citationSonnenburg, E. D., Zheng, H., Joglekar, P., Higginbottom, S. K., Firbank, S. J., Bolam, D. N., & Sonnenburg, J. L. (2010) · Cell · doi:10.1016/j.cell.2010.05.005 · Cited by 745 · see citing works
Characterizing a model human gut microbiota composed of members of its two dominant bacterial phyla
Mahowald, M. A., Rey, F. E., Seedorf, H., Turnbaugh, P. J., Fulton, R. S., Wollam, A., Shah, N., Wang, C., Magrini, V. J., Wilson, R. K., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0901529106 · Cited by 737 · see citing works
Complex Glycan Catabolism by the Human Gut Microbiota: The Bacteroidetes Sus-like Paradigm
Martens, E. C., Koropatkin, N. M., Smith, T. J., & Gordon, J. I. (2009) · Journal of Biological Chemistry · doi:10.1074/jbc.r109.022848 · Cited by 657 · see citing works
Flint, H. J., Duncan, S. H., Scott, K. P., & Louis, P. (2007) · Environmental Microbiology · doi:10.1111/j.1462-2920.2007.01281.x · Cited by 632 · see citing works
Self-citationSalonen, A., Lahti, L., Salojärvi, J., Holtrop, G., Korpela, K., Duncan, S. H., Date, P., Farquharson, F., Johnstone, A. M., Lobley, G. E., et al. (2014) · The ISME Journal · doi:10.1038/ismej.2014.63 · Cited by 626 · see citing works
Self-citationGut microbiome composition is linked to whole grain-induced immunological improvements
Martínez, I., Lattimer, J. M., Hubach, K. L., Case, J. A., Yang, J., Weber, C. G., Louk, J. A., Rose, D. J., Kyureghian, G., Peterson, D. A., et al. (2013) · The ISME Journal · doi:10.1038/ismej.2012.104 · Cited by 614 · see citing works
Fermentation of mucins and plant polysaccharides by anaerobic bacteria from the human colon
Salyers, A. A., West, S. E. H., Vercellotti, J. R., & Wilkins, T. D. (1977) · Applied and Environmental Microbiology · doi:10.1128/aem.34.5.529-533.1977 · Cited by 471 · see citing works
Prebiotic stimulation of human colonic butyrate-producing bacteria and bifidobacteria,in vitro
Scott, K. P., Martin, J. C., Duncan, S. H., & Flint, H. J. (2013) · FEMS Microbiology Ecology · doi:10.1111/1574-6941.12186 · Cited by 452 · see citing works
Self-citationLopez-Siles, M., Khan, T. M., Duncan, S. H., Harmsen, H. J. M., Garcia-Gil, L. J., & Flint, H. J. (2012) · Applied and Environmental Microbiology · doi:10.1128/aem.06858-11 · Cited by 433 · see citing works
Self-citationMacfarlane, G. T., & Macfarlane, S. (2011) · Journal of Clinical Gastroenterology · doi:10.1097/mcg.0b013e31822fecfe · Cited by 406 · see citing works
Bouhnik, Y., Raskine, L., Simoneau, G., Vicaut, É., Neut, C., Flourié, B., Brouns, F. J. P. H., & Bornet, F. R. J. (2004) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/80.6.1658 · Cited by 402 · see citing works
Richardson, A. J., Calder, A. G., Stewart, C. S., & Smith, A. C. (1989) · Letters in Applied Microbiology · doi:10.1111/j.1472-765x.1989.tb00278.x · Cited by 326 · see citing works
Tipping elements in the human intestinal ecosystem
Lahti, L., Salojärvi, J., Salonen, A., Scheffer, M., & de Vos, W. M. (2014) · Nature Communications · doi:10.1038/ncomms5344 · Cited by 322 · see citing works
The bifidogenic effect of inulin and oligofructose and its consequences for gut health
Meyer, D., & Stasse-Wolthuis, M. (2009) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2009.64 · Cited by 322 · see citing works
Comparison of the in vitro bifidogenic properties of pectins and pectic-oligosaccharides
Olano-Martin, E., Gibson, G. R., & Rastall, R. A. (2002) · Journal of Applied Microbiology · doi:10.1046/j.1365-2672.2002.01719.x · Cited by 288 · see citing works
Complex Pectins: Structure elucidation using enzymes
Schols, H. A., & Voragen, A. G. J. (1996) · Progress in biotechnology · doi:10.1016/s0921-0423(96)80242-5 · Cited by 249 · see citing works
Bown, R. L., Gibson, J., Sladen, G. E., Hicks, B. D., & Dawson, A. M. (1974) · Gut · doi:10.1136/gut.15.12.999 · Cited by 232 · see citing works
Costabile, A., Kolida, S., Klinder, A., Gietl, E., Bäuerlein, M., Frohberg, C., Landschütze, V., & Gibson, G. R. (2010) · British Journal Of Nutrition · doi:10.1017/s0007114510001571 · Cited by 215 · see citing works
Duncan, S. H., Scott, K. P., Ramsay, A. G., Harmsen, H. J. M., Welling, G. W., Stewart, C. S., & Flint, H. J. (2003) · Applied and Environmental Microbiology · doi:10.1128/aem.69.2.1136-1142.2003 · Cited by 179 · see citing works
Self-citationRavcheev, D. A., Godzik, A., Osterman, A. L., & Rodionov, D. A. (2013) · BMC Genomics · doi:10.1186/1471-2164-14-873 · Cited by 140 · see citing works
Molecular details of a starch utilization pathway in the human gut symbiont E ubacterium rectale
Cockburn, D. W., Orlovsky, N. I., Foley, M. H., Kwiatkowski, K. J., Bahr, C. M. E., Maynard, M. A., Demeler, B., & Koropatkin, N. M. (2014) · Molecular Microbiology · doi:10.1111/mmi.12859 · Cited by 120 · see citing works
Macfarlane, G. T., HAY, S., & Gibson, G. R. (1989) · Journal of Applied Bacteriology · doi:10.1111/j.1365-2672.1989.tb05110.x · Cited by 120 · see citing works
Allen‐Vercoe, E., Daigneault, M. C., White, A. P., Panaccione, R., Duncan, S. H., Flint, H. J., O’Neal, L., & Lawson, P. A. (2012) · Anaerobe · doi:10.1016/j.anaerobe.2012.09.002 · Cited by 109 · see citing works
Self-citationUnscrambling butterfly oogenesis
Carter, J.-M., Baker, S. C., Pink, R. C., Carter, D. R. F., Collins, A., Tomlin, J., Gibbs, M., & Breuker, C. J. (2013) · BMC Genomics · doi:10.1186/1471-2164-14-283 · Cited by 102 · see citing works
Prolonged administration of low-dose inulin stimulates the growth of bifidobacteria in humans
Bouhnik, Y., Raskine, L., Champion, K., Andrieux, C., Penven, S., Jacobs, H., & Simoneau, G. (2007) · Nutrition Research · doi:10.1016/j.nutres.2007.01.013 · Cited by 88 · see citing works
Mukhopadhya, I., Hansen, R., Nicholl, C. E., Alhaidan, Y., Thomson, J., Berry, S., Pattinson, C., Stead, D., Russell, R., El-Omar, E., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0027076 · Cited by 87 · see citing works
pH feedback and phenotypic diversity within bacterial functional groups of the human gut
Kettle, H., Donnelly, R., Flint, H. J., & Marion, G. (2013) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2013.10.015 · Cited by 13 · see citing works
Self-citationJiang, J., Li, J., & Leung, F. C. (2011) · Genome biology · doi:10.1186/gb-2011-12-s1-p6 · Cited by 7 · see citing works
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- Authors
- Chung, W. S. F., Walker, A. W., Louis, P., Parkhill, J., Vermeiren, J., Bosscher, D., Duncan, S. H., & Flint, H. J.
- Affiliations
- University of Aberdeen (GB)
- Wellcome Sanger Institute (GB)
- Cargill (Belgium) (BE)
- Corresponding author
- Flint, Harry J.
- Venue
- BMC Biology
- Published
- 2016-01-11
- Volume
- 14
- Issue
- 1
- Pages
- 3-3
- ISSN
- 1741-7007 (ISSN-L)
- PMC
- PMC4709873
- OpenAlex
- W2236963792
- Cited by
- 409
- References
- 54
- Citations by year
- 2026: 19 · 2025: 33 · 2024: 44 · 2023: 37 · 2022: 46 · 2021: 48 · 2020: 45 · 2019: 43 · 2018: 42 · 2017: 35 · 2016: 17
- FWCI
- 23.74
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- BMC Biology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Aberdeen University Research Archive (Aberdeen University) (submittedVersion)
- Funders
- BBSRC (BB/J012351/1)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Nursing › Nutrition and Dietetics › Microbial Metabolites in Food Biotechnology
- Life Sciences › Agricultural and Biological Sciences › Food Science › Probiotics and Fermented Foods
- Keywords
- gut microbiota, dietary fiber, prebiotics, non-digestible carbohydrates, apple pectin, inulin, Bacteroides, Eubacterium eligens, Faecalibacterium prausnitzii, pH effect, interspecific competition, microbial community diversity, 16S rRNA gene sequencing
- MeSH terms
- Bacillota, Firmicutes, Gastrointestinal Microbiome, Bacteroides, Dietary Fiber, Eubacterium, Fatty Acids, Fermentation, Humans, Hydrogen-Ion Concentration, Inulin, Pectins, RNA, Ribosomal, 16S, Bioreactors
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