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PMID: 21966408 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Pyrosequencing-based analysis of the mucosal microbiota in healthy individuals reveals ubiquitous bacterial groups and micro-heterogeneity.

PloS one ·Vol. 6 ·No. 9 ·2011-00-00 ·Pages e25042

Hong PY, Croix JA, Greenberg E, Gaskins HR, Mackie RI

Abstract

This study used 16S rRNA-based pyrosequencing to examine the microbial community that is closely associated with the colonic mucosa of five healthy individuals. Spatial heterogeneity in microbiota was measured at right colon, left colon and rectum, and between biopsy duplicates spaced 1 cm apart. The data demonstrate that mucosal-associated microbiota is comprised of Firmicutes (50.9% ± 21.3%), Bacteroidetes (40.2% ± 23.8%) and Proteobacteria (8.6%± 4.7%), and that interindividual differences were apparent. Among the genera, Bacteroides, Leuconostoc and Weissella were present at high abundance (4.6% to 41.2%) in more than 90% of the studied biopsy samples. Lactococcus, Streptococcus, Acidovorax, Acinetobacter, Blautia, Faecalibacterium, Veillonella, and several unclassified bacterial groups were also ubiquitously present at an abundance <7.0% of total microbial community. With the exception of one individual, the mucosal-associated microbiota was relatively homogeneous along the colon (average 61% Bray-Curtis similarity). However, micro-heterogeneity was observed in biopsy duplicates within defined colonic sites for three of the individuals. A weak but significant Mantel correlation of 0.13 was observed between the abundance of acidomucins and mucosal-associated microbiota (P-value = 0.04), indicating that the localized biochemical differences may contribute in part to the micro-heterogeneity. This study provided a detailed insight to the baseline mucosal microbiota along the colon, and revealed the existence of micro-heterogeneity within defined colonic sites for certain individuals.

MeSH Terms
Aged Algorithms Biopsy Female Gastrointestinal Tract/microbiology Genetic Techniques Genome, Bacterial Humans Male Metagenome/physiology Microbiological Techniques Middle Aged Models, Statistical Mucins/metabolism RNA, Ribosomal, 16S/genetics,metabolism Regression Analysis Reproducibility of Results Sequence Analysis, DNA/methods
Chemicals
Mucins RNA, Ribosomal, 16S
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Hong Pei-Ying
Department of Animal Sciences, University of Illinois, Urbana, Illinois, United States of America.
Croix Jennifer A
Greenberg Eugene
Gaskins H Rex
Mackie Roderick I
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Article Info
Journal
PloS one
Abbr.
PLoS One
ISSN
1932-6203
Published
2011-00-00
Epub
2011-00-22
Pages
e25042
Language
English
Region
United States
NLM ID
101285081
PMCID
PMC3178588
Subset
IM
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