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Predicting a human gut microbiota's response to diet in gnotobiotic mice.

The microbial community within the gut is influenced by dietary constituents. Faith et al. (p. 101, published online 19 May) attempted to define dietary influences on the microflora by using germ-free mice colonized with 10 sequenced members of the human gut microbiota and fed diets with systematica... Full description

Journal Title: Science (New York N.Y.), July 1, 2011, Vol.333(6038), pp.101-104
Main Author: Faith, Jeremiah J
Other Authors: Mcnulty, Nathan P , Rey, Federico E , Gordon, Jeffrey I
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: E-ISSN: 1095-9203 ; DOI: 1095-9203 ; DOI: 10.1126/science.1206025
Link: http://search.proquest.com/docview/874482791/?pq-origsite=primo
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recordid: proquest874482791
title: Predicting a human gut microbiota's response to diet in gnotobiotic mice.
format: Article
creator:
  • Faith, Jeremiah J
  • Mcnulty, Nathan P
  • Rey, Federico E
  • Gordon, Jeffrey I
subjects:
  • Animals–Genetics
  • Bacteroides–Physiology
  • Biomass–Administration & Dosage
  • Caseins–Genetics
  • Desulfovibrio–Physiology
  • Diet–Administration & Dosage
  • Dietary Carbohydrates–Administration & Dosage
  • Dietary Fats, Unsaturated–Administration & Dosage
  • Dietary Proteins–Administration & Dosage
  • Dietary Sucrose–Genetics
  • Escherichia Coli–Physiology
  • Feces–Microbiology
  • Gastrointestinal Tract–Microbiology
  • Gene Expression Profiling–Physiology
  • Gene Expression Regulation, Bacterial–Genetics
  • Germ-Free Life–Physiology
  • Gram-Negative Bacteria–Physiology
  • Gram-Positive Bacteria–Physiology
  • Humans–Physiology
  • Infant–Physiology
  • Infant Food–Physiology
  • Linear Models–Physiology
  • Male–Physiology
  • Metagenome–Physiology
  • Mice–Physiology
  • Mice, Inbred C57bl–Physiology
  • Models, Animal–Physiology
  • Caseins
  • Dietary Carbohydrates
  • Dietary Fats, Unsaturated
  • Dietary Proteins
  • Dietary Sucrose
ispartof: Science (New York, N.Y.), July 1, 2011, Vol.333(6038), pp.101-104
description: The microbial community within the gut is influenced by dietary constituents. Faith et al. (p. 101, published online 19 May) attempted to define dietary influences on the microflora by using germ-free mice colonized with 10 sequenced members of the human gut microbiota and fed diets with systematically manipulated concentrations of four ingredients commonly found in human foods. Changes in the absolute abundance of community members and of the community's meta-transcriptome were monitored and the data were used in a simple linear model. Changes in the proportions of macronutrients explained half of the variation in microbial species abundance and casein intake was highly correlated with total microbial biomass. The interrelationships between our diets and the structure and operations of our gut microbial communities are poorly understood. A model community of 10 sequenced human gut bacteria was introduced into gnotobiotic mice, and changes in species abundance and microbial gene expression were measured in response to randomized perturbations of four defined ingredients in the host diet. From the responses, we developed a statistical model that predicted over 60% of the variation in species abundance evoked by diet perturbations, and we were able to identify which factors in the diet best explained changes seen for each community member. The approach is generally applicable, as shown by a follow-up study involving diets containing various mixtures of pureed human baby foods. [PUBLICATION ]
language: eng
source:
identifier: E-ISSN: 1095-9203 ; DOI: 1095-9203 ; DOI: 10.1126/science.1206025
fulltext: fulltext
issn:
  • 10959203
  • 1095-9203
url: Link


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titlePredicting a human gut microbiota's response to diet in gnotobiotic mice.
creatorFaith, Jeremiah J ; Mcnulty, Nathan P ; Rey, Federico E ; Gordon, Jeffrey I
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subjectAnimals–Genetics ; Bacteroides–Physiology ; Biomass–Administration & Dosage ; Caseins–Genetics ; Desulfovibrio–Physiology ; Diet–Administration & Dosage ; Dietary Carbohydrates–Administration & Dosage ; Dietary Fats, Unsaturated–Administration & Dosage ; Dietary Proteins–Administration & Dosage ; Dietary Sucrose–Genetics ; Escherichia Coli–Physiology ; Feces–Microbiology ; Gastrointestinal Tract–Microbiology ; Gene Expression Profiling–Physiology ; Gene Expression Regulation, Bacterial–Genetics ; Germ-Free Life–Physiology ; Gram-Negative Bacteria–Physiology ; Gram-Positive Bacteria–Physiology ; Humans–Physiology ; Infant–Physiology ; Infant Food–Physiology ; Linear Models–Physiology ; Male–Physiology ; Metagenome–Physiology ; Mice–Physiology ; Mice, Inbred C57bl–Physiology ; Models, Animal–Physiology ; Caseins ; Dietary Carbohydrates ; Dietary Fats, Unsaturated ; Dietary Proteins ; Dietary Sucrose
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descriptionThe microbial community within the gut is influenced by dietary constituents. Faith et al. (p. 101, published online 19 May) attempted to define dietary influences on the microflora by using germ-free mice colonized with 10 sequenced members of the human gut microbiota and fed diets with systematically manipulated concentrations of four ingredients commonly found in human foods. Changes in the absolute abundance of community members and of the community's meta-transcriptome were monitored and the data were used in a simple linear model. Changes in the proportions of macronutrients explained half of the variation in microbial species abundance and casein intake was highly correlated with total microbial biomass. The interrelationships between our diets and the structure and operations of our gut microbial communities are poorly understood. A model community of 10 sequenced human gut bacteria was introduced into gnotobiotic mice, and changes in species abundance and microbial gene expression were measured in response to randomized perturbations of four defined ingredients in the host diet. From the responses, we developed a statistical model that predicted over 60% of the variation in species abundance evoked by diet perturbations, and we were able to identify which factors in the diet best explained changes seen for each community member. The approach is generally applicable, as shown by a follow-up study involving diets containing various mixtures of pureed human baby foods. [PUBLICATION ]
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