Linking Long-Term Dietary Patterns with Gut Microbial Enterotypes
Author(s) -
Gary D. Wu,
Jun Chen,
Christian Hoffmann,
Kyle Bittinger,
Ying-Yu Chen,
Sue A. Keilbaugh,
Meenakshi Bewtra,
Dan Knights,
William A. Walters,
Rob Knight,
Rohini Sinha,
Erin Gilroy,
Kernika Gupta,
Robert N. Baldassano,
Lisa Nessel,
Hongzhe Li,
Frederic D. Bushman,
James D. Lewis
Publication year - 2011
Publication title -
science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 12.556
H-Index - 1186
eISSN - 1095-9203
pISSN - 0036-8075
DOI - 10.1126/science.1208344
Subject(s) - term (time) , biology , quantum mechanics , physics
Diet strongly affects human health, partly by modulating gut microbiome composition. We used diet inventories and 16S rDNA sequencing to characterize fecal samples from 98 individuals. Fecal communities clustered into enterotypes distinguished primarily by levels of Bacteroides and Prevotella. Enterotypes were strongly associated with long-term diets, particularly protein and animal fat (Bacteroides) versus carbohydrates (Prevotella). A controlled-feeding study of 10 subjects showed that microbiome composition changed detectably within 24 hours of initiating a high-fat/low-fiber or low-fat/high-fiber diet, but that enterotype identity remained stable during the 10-day study. Thus, alternative enterotype states are associated with long-term diet.
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