Literature DB >> 19363078

High-throughput quantitative analysis of the human intestinal microbiota with a phylogenetic microarray.

Oleg Paliy1, Harshavardhan Kenche, Frank Abernathy, Sonia Michail.   

Abstract

Gut microbiota carry out key functions in health and participate in the pathogenesis of a growing number of diseases. The aim of this study was to develop a custom microarray that is able to identify hundreds of intestinal bacterial species. We used the Entrez nucleotide database to compile a data set of bacterial 16S rRNA gene sequences isolated from human intestinal and fecal samples. Identified sequences were clustered into separate phylospecies groups. Representative sequences from each phylospecies were used to develop a microbiota microarray based on the Affymetrix GeneChip platform. The designed microbiota array contains probes to 775 different bacterial phylospecies. In our validation experiments, the array correctly identified genomic DNA from all 15 bacterial species used. Microbiota array has a detection sensitivity of at least 1 pg of genomic DNA and can detect bacteria present at a 0.00025% level of overall sample. Using the developed microarray, fecal samples from two healthy children and two healthy adults were analyzed for bacterial presence. Between 227 and 232 species were detected in fecal samples from children, whereas 191 to 208 species were found in adult stools. The majority of identified phylospecies belonged to the classes Clostridia and Bacteroidetes. The microarray revealed putative differences between the gut microbiota of healthy children and adults: fecal samples from adults had more Clostridia and less Bacteroidetes and Proteobacteria than those from children. A number of other putative differences were found at the genus level.

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Year:  2009        PMID: 19363078      PMCID: PMC2687317          DOI: 10.1128/AEM.02764-08

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  42 in total

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2.  Sequence-specific identification of 18 pathogenic microorganisms using microarray technology.

Authors:  W J Wilson; C L Strout; T Z DeSantis; J L Stilwell; A V Carrano; G L Andersen
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3.  probeBase: an online resource for rRNA-targeted oligonucleotide probes.

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4.  Microarray-based identification of bacteria in clinical samples by solid-phase PCR amplification of 23S ribosomal DNA sequences.

Authors:  Georg Mitterer; Martin Huber; Ernst Leidinger; Claudia Kirisits; Werner Lubitz; Manfred W Mueller; Wolfgang M Schmidt
Journal:  J Clin Microbiol       Date:  2004-03       Impact factor: 5.948

5.  Bias and artifacts in multitemplate polymerase chain reactions (PCR).

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Journal:  J Biosci Bioeng       Date:  2003       Impact factor: 2.894

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Authors:  Zhan Gao; Chi-hong Tseng; Zhiheng Pei; Martin J Blaser
Journal:  Proc Natl Acad Sci U S A       Date:  2007-02-09       Impact factor: 11.205

7.  GeoChip: a comprehensive microarray for investigating biogeochemical, ecological and environmental processes.

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8.  Bias in template-to-product ratios in multitemplate PCR.

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Journal:  Appl Environ Microbiol       Date:  1998-10       Impact factor: 4.792

9.  Obesity alters gut microbial ecology.

Authors:  Ruth E Ley; Fredrik Bäckhed; Peter Turnbaugh; Catherine A Lozupone; Robin D Knight; Jeffrey I Gordon
Journal:  Proc Natl Acad Sci U S A       Date:  2005-07-20       Impact factor: 11.205

10.  Development of the human infant intestinal microbiota.

Authors:  Chana Palmer; Elisabeth M Bik; Daniel B DiGiulio; David A Relman; Patrick O Brown
Journal:  PLoS Biol       Date:  2007-06-26       Impact factor: 8.029

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  38 in total

Review 1.  Techniques used to characterize the gut microbiota: a guide for the clinician.

Authors:  Marianne H Fraher; Paul W O'Toole; Eamonn M M Quigley
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2012-03-27       Impact factor: 46.802

Review 2.  The abundance and variety of carbohydrate-active enzymes in the human gut microbiota.

Authors:  Abdessamad El Kaoutari; Fabrice Armougom; Jeffrey I Gordon; Didier Raoult; Bernard Henrissat
Journal:  Nat Rev Microbiol       Date:  2013-06-10       Impact factor: 60.633

3.  Mathematical modeling of 16S ribosomal DNA amplification reveals optimal conditions for the interrogation of complex microbial communities with phylogenetic microarrays.

Authors:  Oleg Paliy; Brent D Foy
Journal:  Bioinformatics       Date:  2011-06-07       Impact factor: 6.937

Review 4.  Effects of probiotics and commensals on intestinal epithelial physiology: implications for nutrient handling.

Authors:  Silvia C Resta
Journal:  J Physiol       Date:  2009-07-13       Impact factor: 5.182

5.  Microarray analysis and barcoded pyrosequencing provide consistent microbial profiles depending on the source of human intestinal samples.

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Journal:  Appl Environ Microbiol       Date:  2011-01-21       Impact factor: 4.792

Review 6.  The role of gut microbiota in the gut-brain axis: current challenges and perspectives.

Authors:  Xiao Chen; Roshan D'Souza; Seong-Tshool Hong
Journal:  Protein Cell       Date:  2013-05-18       Impact factor: 14.870

Review 7.  The first 1000 cultured species of the human gastrointestinal microbiota.

Authors:  Mirjana Rajilić-Stojanović; Willem M de Vos
Journal:  FEMS Microbiol Rev       Date:  2014-06-27       Impact factor: 16.408

8.  High taxonomic level fingerprint of the human intestinal microbiota by ligase detection reaction--universal array approach.

Authors:  Marco Candela; Clarissa Consolandi; Marco Severgnini; Elena Biagi; Bianca Castiglioni; Beatrice Vitali; Gianluca De Bellis; Patrizia Brigidi
Journal:  BMC Microbiol       Date:  2010-04-19       Impact factor: 3.605

9.  The Prediction Predicament: Rethinking Necrotizing Soft Tissue Infections Mortality.

Authors:  Samantha A Moore; Brandon H Levy; Chalani Prematilake; Sharmila Dissanaike
Journal:  Surg Infect (Larchmt)       Date:  2015-08-10       Impact factor: 2.150

10.  Do gut microbial communities differ in pediatric IBS and health?

Authors:  Vijay Shankar; Richard Agans; Benjamin Holmes; Michael Raymer; Oleg Paliy
Journal:  Gut Microbes       Date:  2013-05-02
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