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Association of Fecal Microbial Diversity and Taxonomy with Selected Enzymatic Functions

Overview of attention for article published in PLOS ONE, June 2012
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Title
Association of Fecal Microbial Diversity and Taxonomy with Selected Enzymatic Functions
Published in
PLOS ONE, June 2012
DOI 10.1371/journal.pone.0039745
Pubmed ID
Authors

Roberto Flores, Jianxin Shi, Mitchell H. Gail, Pawel Gajer, Jacques Ravel, James J. Goedert

Abstract

Few microbial functions have been compared to a comprehensive survey of the human fecal microbiome. We evaluated determinants of fecal microbial β-glucuronidase and β-glucosidase activities, focusing especially on associations with microbial alpha and beta diversity and taxonomy. We enrolled 51 healthy volunteers (26 female, mean age 39) who provided questionnaire data and multiple aliquots of a stool, from which proteins were extracted to quantify β-glucuronidase and β-glucosidase activities, and DNA was extracted to amplify and pyrosequence 16S rRNA gene sequences to classify and quantify microbiome diversity and taxonomy. Fecal β-glucuronidase was elevated with weight loss of at least 5 lb. (P = 0.03), whereas β-glucosidase was marginally reduced in the four vegetarians (P = 0.06). Both enzymes were correlated directly with microbiome richness and alpha diversity measures, directly with the abundance of four Firmicutes Clostridia genera, and inversely with the abundance of two other genera (Firmicutes Lactobacillales Streptococcus and Bacteroidetes Rikenellaceae Alistipes) (all P = 0.05-0.0001). Beta diversity reflected the taxonomic associations. These observations suggest that these enzymatic functions are performed by particular taxa and that diversity indices may serve as surrogates of bacterial functions. Independent validation and deeper understanding of these associations are needed, particularly to characterize functions and pathways that may be amenable to manipulation.

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The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 2%
United States 1 <1%
Portugal 1 <1%
Brazil 1 <1%
Unknown 119 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 25%
Student > Ph. D. Student 24 19%
Student > Bachelor 15 12%
Student > Master 11 9%
Other 8 6%
Other 19 15%
Unknown 16 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 39%
Medicine and Dentistry 19 15%
Biochemistry, Genetics and Molecular Biology 15 12%
Environmental Science 6 5%
Immunology and Microbiology 6 5%
Other 13 10%
Unknown 17 14%