Comparative Analysis of Human Gut Microbiota by Barcoded Pyrosequencing

Humans host complex microbial communities believed to contribute to health maintenance and, when in imbalance, to the development of diseases. Determining the microbial composition in patients and healthy controls may thus provide novel therapeutic targets. For this purpose, high-throughput, cost-effective methods for microbiota characterization are needed. We have employed 454-pyrosequencing of a hyper-variable region of the 16S rRNA gene in combination with sample-specific barcode sequences which enables parallel in-depth analysis of hundreds of samples with limited sample processing. In silico modeling demonstrated that the method correctly describes microbial communities down to phylotypes below the genus level. Here we applied the technique to analyze microbial communities in throat, stomach and fecal samples. Our results demonstrate the applicability of barcoded pyrosequencing as a high-throughput method for comparative microbial ecology.

[1]  I. Good THE POPULATION FREQUENCIES OF SPECIES AND THE ESTIMATION OF POPULATION PARAMETERS , 1953 .

[2]  D. Savage Microbial ecology of the gastrointestinal tract. , 1977, Annual review of microbiology.

[3]  C. Woese,et al.  Phylogenetic structure of the prokaryotic domain: The primary kingdoms , 1977, Proceedings of the National Academy of Sciences of the United States of America.

[4]  Calyampudi R. Rao Diversity and dissimilarity coefficients: A unified approach☆ , 1982 .

[5]  C. Larkin,et al.  Dietary intake, energy metabolism, and excretory losses of adult male germfree Wistar rats. , 1983, Laboratory animal science.

[6]  A. Chao Nonparametric estimation of the number of classes in a population , 1984 .

[7]  Thomas L. Madden,et al.  Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. , 1997, Nucleic acids research.

[8]  Lee-Ann C. Hayek,et al.  Surveying natural populations , 1997 .

[9]  D. Cowan,et al.  Review and re-analysis of domain-specific 16S primers. , 2003, Journal of microbiological methods.

[10]  Martin J Blaser,et al.  Bacterial biota in the human distal esophagus , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[11]  Ting Wang,et al.  The gut microbiota as an environmental factor that regulates fat storage. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[12]  Ruslan Medzhitov,et al.  Recognition of Commensal Microflora by Toll-Like Receptors Is Required for Intestinal Homeostasis , 2004, Cell.

[13]  K. Schleifer,et al.  ARB: a software environment for sequence data. , 2004, Nucleic acids research.

[14]  E. Purdom,et al.  Diversity of the Human Intestinal Microbial Flora , 2005, Science.

[15]  F. Bäckhed,et al.  Obesity alters gut microbial ecology. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[16]  R. Knight,et al.  UniFrac: a New Phylogenetic Method for Comparing Microbial Communities , 2005, Applied and Environmental Microbiology.

[17]  F. Bäckhed,et al.  Host-Bacterial Mutualism in the Human Intestine , 2005, Science.

[18]  J. Handelsman,et al.  Introducing DOTUR, a Computer Program for Defining Operational Taxonomic Units and Estimating Species Richness , 2005, Applied and Environmental Microbiology.

[19]  J. A. Aas,et al.  Defining the Normal Bacterial Flora of the Oral Cavity , 2005, Journal of Clinical Microbiology.

[20]  A. J. Jones,et al.  At Least 1 in 20 16S rRNA Sequence Records Currently Held in Public Repositories Is Estimated To Contain Substantial Anomalies , 2005, Applied and Environmental Microbiology.

[21]  James R. Knight,et al.  Genome sequencing in microfabricated high-density picolitre reactors , 2005, Nature.

[22]  S. Mazmanian,et al.  An Immunomodulatory Molecule of Symbiotic Bacteria Directs Maturation of the Host Immune System , 2005, Cell.

[23]  U. Smith,et al.  Plasma cells and Fc receptors in human adipose tissue--lipogenic and anti-inflammatory effects of immunoglobulins on adipocytes. , 2006, Biochemical and biophysical research communications.

[24]  E. Mardis,et al.  An obesity-associated gut microbiome with increased capacity for energy harvest , 2006, Nature.

[25]  Michael B. Eisen,et al.  Rapid quantitative profiling of complex microbial populations , 2006, Nucleic acids research.

[26]  Susan M. Huse,et al.  Microbial diversity in the deep sea and the underexplored “rare biosphere” , 2006, Proceedings of the National Academy of Sciences.

[27]  M. Vieth,et al.  Peptic ulcer disease in a general adult population: the Kalixanda study: a random population-based study. , 2006, American journal of epidemiology.

[28]  P. Turnbaugh,et al.  Microbial ecology: Human gut microbes associated with obesity , 2006, Nature.

[29]  Elisabeth M Bik,et al.  Molecular analysis of the bacterial microbiota in the human stomach. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[30]  Gary L. Andersen,et al.  High-Density Universal 16S rRNA Microarray Analysis Reveals Broader Diversity than Typical Clone Library When Sampling the Environment , 2007, Microbial Ecology.

[31]  N. Pace,et al.  Molecular-phylogenetic characterization of microbial community imbalances in human inflammatory bowel diseases , 2007, Proceedings of the National Academy of Sciences.

[32]  James R. Cole,et al.  The ribosomal database project (RDP-II): introducing myRDP space and quality controlled public data , 2006, Nucleic Acids Res..

[33]  E. Woodmansey Intestinal bacteria and ageing , 2007, Journal of applied microbiology.

[34]  H. Jakobsson,et al.  Macrolide resistance in the normal microbiota after Helicobacter pylori treatment , 2007, Scandinavian journal of infectious diseases.

[35]  J. Tiedje,et al.  Naïve Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy , 2007, Applied and Environmental Microbiology.

[36]  F. Bushman,et al.  The Macaque Gut Microbiome in Health, Lentiviral Infection, and Chronic Enterocolitis , 2008, PLoS pathogens.