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Barcoded Pyrosequencing Reveals That Consumption of Galactooligosaccharides Results in a Highly Specific Bifidogenic Response in Humans

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Davis, Lauren M. G., Martínez, Inés, Walter, Jens, Goin, Caitlin, Hutkins, Robert W.·2011·PLoS ONE

Abstract

Prebiotics are selectively fermented ingredients that allow specific changes in the gastrointestinal microbiota that confer health benefits to the host. However, the effects of prebiotics on the human gut microbiota are incomplete as most studies have relied on methods that fail to cover the breadth of the bacterial community. The goal of this research was to use high throughput multiplex community sequencing of 16S rDNA tags to gain a community wide perspective of the impact of prebiotic galactooligosaccharide (GOS) on the fecal microbiota of healthy human subjects. Fecal samples from eighteen healthy adults were previously obtained during a feeding trial in which each subject consumed a GOS-containing product for twelve weeks, with four increasing dosages (0, 2.5, 5, and 10 gram) of GOS. Multiplex sequencing of the 16S rDNA tags revealed that GOS induced significant compositional alterations in the fecal microbiota, principally by increasing the abundance of organisms within the Actinobacteria. Specifically, several distinct lineages of Bifidobacterium were enriched. Consumption of GOS led to five- to ten-fold increases in bifidobacteria in half of the subjects. Increases in Firmicutes were also observed, however, these changes were detectable in only a few individuals. The enrichment of bifidobacteria was generally at the expense of one group of bacteria, the Bacteroides. The responses to GOS and the magnitude of the response varied between individuals, were reversible, and were in accordance with dosage. The bifidobacteria were the only bacteria that were consistently and significantly enriched by GOS, although this substrate supported the growth of diverse colonic bacteria in mono-culture experiments. These results suggest that GOS can be used to enrich bifidobacteria in the human gastrointestinal tract with remarkable specificity, and that the bifidogenic properties of GOS that occur in vivo are caused by selective fermentation as well as by competitive interactions within the intestinal environment.

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Research works printed but not linked: 41

  1. B Zhu, 2010, Human gut microbiome: the second genome of human body., Protein Cell, 1, 718, 10.1007/s13238-010-0093-z · DOI · Paper page
  2. ED Sonnenburg, 2010, Specificity of polysaccharide use in intestinal Bacteroides species determines diet-induced microbiota alterations., Cell, 141, 1241, 10.1016/j.cell.2010.05.005 · DOI · Paper page
  3. B Stecher, 2011, Mechanisms controlling pathogen colonization of the gut., Curr Opinion Microbiol, 14, 82, 10.1016/j.mib.2010.10.003 · DOI · Paper page
  4. JH Cummings, 2003, Intestinal bacteria and ulcerative colitis., Curr Issues Intest Microbiol, 4, 9
  5. S Macfarlane, 2004, Chemotaxonomic analysis of bacterial populations colonizing the rectal mucosa in patients with ulcerative colitis., Clin Infect Dis, 38, 1690, 10.1086/420823 · DOI
  6. AW Walker, 2011, High-throughput clone library analysis of the mucosa-associated microbiota reveals dysbiosis and differences between inflamed and noninflamed regions of the intestine in inflammatory bowel disease., BMC Microbiol, 11, 7, 10.1186/1471-2180-11-7 · DOI · Paper page
  7. F Fava, 2006, The gut microbiota and lipid metabolism: implications for human health and coronary heart disease., Curr Med Chem, 13, 3005, 10.2174/092986706778521814 · DOI
  8. JM Ordovas, 2006, Metagenomics: the role of the microbiome in cardiovascular diseases., Curr Opin Lipidol, 17, 157, 10.1097/01.mol.0000217897.75068.ba · DOI
  9. PJ Turnbaugh, 2009, A core gut microbiome in obese and lean twins., Nature, 457, 480, 10.1038/nature07540 · DOI · Paper page
  10. HJ Flint, 2007, Interactions and competition within the microbial community of the human colon: links between diet and health., Environ Microbiol, 9, 1101, 10.1111/j.1462-2920.2007.01281.x · DOI · Paper page
  11. HJ Wu, 2010, Gut-residing segmented filamentous bacteria drive autoimmune arthritis via T helper 17 cells., Immunity, 32, 815, 10.1016/j.immuni.2010.06.001 · DOI · Paper page
  12. PV Kirjavainen, 2002, Aberrant composition of gut microbiota of allergic infants: a target of bifidobacterial therapy at weaning?, Gut, 51, 51, 10.1136/gut.51.1.51 · DOI · Paper page
  13. Y Bouhnik, 2004, The capacity of nondigestible carbohydrates to stimulate fecal bifidobacteria in healthy humans, a double-blind, randomized, placebo-controlled, parallel-group, dose-response relation study., Am J Clin Nutr, 80, 1658, 10.1093/ajcn/80.6.1658 · DOI · Paper page
  14. GT Macfarlane, 2008, Bacterial metabolism and health-related effects of galacto-oligosaccharides and other prebiotics., J Appl Microbiol, 104, 305
  15. D Frank, 2008, Gastrointestinal microbiology enters the metagenomics era., Curr Opin Gastroenol, 24, 4, 10.1097/MOG.0b013e3282f2b0e8 · DOI · Paper page
  16. M Roberfroid, 2007, Prebiotics: the concept revisited., J Nutr, 137, 830S, 10.1093/jn/137.3.830S · DOI · Paper page
  17. GR Gibson, 2004, Dietary modulation of the human colonic microbiota: updating the concept of prebiotics., Nutr Res Rev, 17, 259, 10.1079/NRR200479 · DOI · Paper page
  18. MGR Roberfroid, 2010, Prebiotic effects: metabolic and health benefits., Brit J Nutr, 104, S1, 10.1017/S0007114510003363 · DOI · Paper page
  19. LMG Davis, 2010, A dose dependent impact of prebiotic galactooligosaccharides on the intestinal microbiota of healthy adults., Int J Food Microbiol, 144, 285, 10.1016/j.ijfoodmicro.2010.10.007 · DOI
  20. R Barrangou, 2003, Functional and comparative genomic analyses of an operon involved in fructooligosaccharide utilization by Lactobacillus acidophilus., Proc Natl Acad Sci USA, 100, 8957, 10.1073/pnas.1332765100 · DOI · Paper page
  21. R Barrangou, 2006, Global analysis of carbohydrate utilization by Lactobacillus acidophilus using cDNA microarrays., Proc Natl Acad Sci USA, 103, 3816, 10.1073/pnas.0511287103 · DOI
  22. YJ Goh, 2007, Functional analysis of the fructooligosaccharide utilization operon in Lactobacillus paracasei 1195., Appl Environ Microbiol, 73, 5716, 10.1128/AEM.00805-07 · DOI
  23. DAA Saulnier, 2007, Identification of prebiotic fructooligosaccharide metabolism in Lactobacillus plantarum WCFS1 through microarrays., Appl Environ Microbiol, 73, 1753, 10.1128/AEM.01151-06 · DOI
  24. MA Schell, 2002, The genome sequence of Bifidobacterium longum reflects its adaptation to the human gastrointestinal tract., Proc Natl Acad Sci USA, 99, 14422, 10.1073/pnas.212527599 · DOI · Paper page
  25. A Sela D, 2008, The genome sequence of Bifidobacterium longum subsp. infantis reveals adaptations for milk utilization within the infant microbiome., Proc Natl Acad Sci USA, 105, 18964, 10.1073/pnas.0809584105 · DOI · Paper page
  26. MS Alles, 1999, Effect of transgalactooligosaccharides on the composition of the human intestinal microflora and on the putative risk markers for colon cancer., Am J Clin Nutr, 69, 980, 10.1093/ajcn/69.5.980 · DOI
  27. M Ito, 1993, Influence of galactooligosaccharides on human fecal microflora., J Nutr Sci Vitaminol, 39, 635, 10.3177/jnsv.39.635 · DOI
  28. GW Tannock, 2004, Impact of consumption of oligosaccharide-containing biscuits on the fecal microbiota of humans., Appl Environ Microbiol, 70, 2129, 10.1128/AEM.70.4.2129-2136.2004 · DOI
  29. JHA Apajalahti, 2002, Culture-independent microbial community analysis reveals that inulin in the diet primarily affects previously unknown bacteria in the mouse cecum., Appl Environ Microbiol, 68, 4986, 10.1128/AEM.68.10.4986-4995.2002 · DOI
  30. I Martínez, 2009, Diet-induced metabolic improvements in a hamster model of hypercholesterolemia are strongly linked to alterations of the gut microbiota., Appl Environ Microbiol, 75, 4175, 10.1128/AEM.00380-09 · DOI · Paper page
  31. JR Cole, 2009, The Ribosomal Database Project: improved alignments and new tools for rDNA analysis., Nucleic Acids Res, 37, D141, 10.1093/nar/gkn879 · DOI · Paper page
  32. RC Edgar, 2004, MUSCLE: multiple sequences alignment with high accuracy and high throughput., Nucleic Acids Res, 32, 1792, 10.1093/nar/gkh340 · DOI · Paper page
  33. K Tamura, 2007, MEGA4: Molecular evolutionary genetics analysis (MEGA) software version 4.0., Mol Biol Evol, 24, 1596, 10.1093/molbev/msm092 · DOI · Paper page
  34. J Maukonen, 2008, Diversity and temporal stability of fecal bacterial populations in elderly subjects consuming galacto-oligosaccharide containing prebiotic yoghurt., Int Dairy J, 18, 386, 10.1016/j.idairyj.2007.10.003 · DOI
  35. SH Duncan, 2009, The role of pH in determining the species composition of the human colonic microbiota., Environ Microbiol, 11, 2112, 10.1111/j.1462-2920.2009.01931.x · DOI · Paper page
  36. W Kneifel, 2000, In vitro growth behaviour of probiotic bacteria in culture media with carbohydrates of prebiotic importance., Microb Ecol Health Dis, 12, 27, 10.1080/089106000435563 · DOI
  37. H Mäkeläinen, 2010, Xylo-oligosaccharides and lactitol promote the growth of Bifidobacterium lactis and Lactobacillus species in pure cultures., Ben Microbes, 1, 139, 10.3920/BM2009.0029 · DOI
  38. MJ, 1998, Inter-species differences in maximum specific growth rates and cell yields of bifidobacteria cultured on oligosaccharides and other simple carbohydrate sources., J Appl Microbiol, 85, 381, 10.1046/j.1365-2672.1998.00524.x · DOI
  39. A Costabilea, 2010, A double-blind, placebo-controlled, cross-over study to establish the bifidogenic effect of a very-long-chain inulin extracted from globe artichoke (Cynara scolymus) in healthy human subjects., Br J Nutr, 104, 1007, 10.1017/S0007114510001571 · DOI
  40. B Kleessen, 2007, Jerusalem artichoke and chicory inulin in bakery products affect faecal microbiota of healthy volunteers., Br J Nutr, 98, 540, 10.1017/S0007114507730751 · DOI
  41. G Falony, 2009, Coculture fermentations of Bifidobacterium species and Bacteroides thetaiotaomicron reveal a mechanistic insight into the prebiotic effect of inulin-type fructans., App Environ Microbiol, 75, 2312, 10.1128/AEM.02649-08 · DOI

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Metadata

Authors
Davis, L. M. G., Martínez, I., Walter, J., Goin, C., & Hutkins, R. W.
Venue
PLoS ONE
Published
2011-09-26
Volume
6
Issue
9
Pages
e25200
ISSN
1932-6203 (ISSN-L)
OpenAlex
W1963582122
Cited by
318
References
7
FWCI
17.54
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Barcoded Pyrosequencing Reveals That Consumption of Galactooligosaccharides Results in a Highly Specific Bifidogenic Response in Humans. https://app.cochat.ai/papers/10.1371/journal.pone.0025200
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Davis, L. M. G., Martínez, I., Walter, J., Goin, C., & Hutkins, R. W. (2011). Barcoded Pyrosequencing Reveals That Consumption of Galactooligosaccharides Results in a Highly Specific Bifidogenic Response in Humans. PLoS ONE. https://doi.org/10.1371/journal.pone.0025200

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