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Rapid quantitative profiling of complex microbial populations

Diverse and complex microbial ecosystems are found in virtually every environment on earth, yet we know very little about their composition and ecology. Comprehensive identification and quantification of the constituents of these microbial communities—a ‘census’—is an essential foundation for unders...

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Detalles Bibliográficos
Autores principales: Palmer, Chana, Bik, Elisabeth M., Eisen, Michael B., Eckburg, Paul B., Sana, Theodore R., Wolber, Paul K., Relman, David A., Brown, Patrick O.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1326253/
https://www.ncbi.nlm.nih.gov/pubmed/16407321
http://dx.doi.org/10.1093/nar/gnj007
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author Palmer, Chana
Bik, Elisabeth M.
Eisen, Michael B.
Eckburg, Paul B.
Sana, Theodore R.
Wolber, Paul K.
Relman, David A.
Brown, Patrick O.
author_facet Palmer, Chana
Bik, Elisabeth M.
Eisen, Michael B.
Eckburg, Paul B.
Sana, Theodore R.
Wolber, Paul K.
Relman, David A.
Brown, Patrick O.
author_sort Palmer, Chana
collection PubMed
description Diverse and complex microbial ecosystems are found in virtually every environment on earth, yet we know very little about their composition and ecology. Comprehensive identification and quantification of the constituents of these microbial communities—a ‘census’—is an essential foundation for understanding their biology. To address this problem, we developed, tested and optimized a DNA oligonucleotide microarray composed of 10 462 small subunit (SSU) ribosomal DNA (rDNA) probes (7167 unique sequences) selected to provide quantitative information on the taxonomic composition of diverse microbial populations. Using our optimized experimental approach, this microarray enabled detection and quantification of individual bacterial species present at fractional abundances of <0.1% in complex synthetic mixtures. The estimates of bacterial species abundance obtained using this microarray are similar to those obtained by phylogenetic analysis of SSU rDNA sequences from the same samples—the current ‘gold standard’ method for profiling microbial communities. Furthermore, probes designed to represent higher order taxonomic groups of bacterial species reliably detected microbes for which there were no species-specific probes. This simple, rapid microarray procedure can be used to explore and systematically characterize complex microbial communities, such as those found within the human body.
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spelling pubmed-13262532006-01-17 Rapid quantitative profiling of complex microbial populations Palmer, Chana Bik, Elisabeth M. Eisen, Michael B. Eckburg, Paul B. Sana, Theodore R. Wolber, Paul K. Relman, David A. Brown, Patrick O. Nucleic Acids Res Methods Online Diverse and complex microbial ecosystems are found in virtually every environment on earth, yet we know very little about their composition and ecology. Comprehensive identification and quantification of the constituents of these microbial communities—a ‘census’—is an essential foundation for understanding their biology. To address this problem, we developed, tested and optimized a DNA oligonucleotide microarray composed of 10 462 small subunit (SSU) ribosomal DNA (rDNA) probes (7167 unique sequences) selected to provide quantitative information on the taxonomic composition of diverse microbial populations. Using our optimized experimental approach, this microarray enabled detection and quantification of individual bacterial species present at fractional abundances of <0.1% in complex synthetic mixtures. The estimates of bacterial species abundance obtained using this microarray are similar to those obtained by phylogenetic analysis of SSU rDNA sequences from the same samples—the current ‘gold standard’ method for profiling microbial communities. Furthermore, probes designed to represent higher order taxonomic groups of bacterial species reliably detected microbes for which there were no species-specific probes. This simple, rapid microarray procedure can be used to explore and systematically characterize complex microbial communities, such as those found within the human body. Oxford University Press 2006 2006-01-10 /pmc/articles/PMC1326253/ /pubmed/16407321 http://dx.doi.org/10.1093/nar/gnj007 Text en © The Author 2006. Published by Oxford University Press. All rights reserved
spellingShingle Methods Online
Palmer, Chana
Bik, Elisabeth M.
Eisen, Michael B.
Eckburg, Paul B.
Sana, Theodore R.
Wolber, Paul K.
Relman, David A.
Brown, Patrick O.
Rapid quantitative profiling of complex microbial populations
title Rapid quantitative profiling of complex microbial populations
title_full Rapid quantitative profiling of complex microbial populations
title_fullStr Rapid quantitative profiling of complex microbial populations
title_full_unstemmed Rapid quantitative profiling of complex microbial populations
title_short Rapid quantitative profiling of complex microbial populations
title_sort rapid quantitative profiling of complex microbial populations
topic Methods Online
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1326253/
https://www.ncbi.nlm.nih.gov/pubmed/16407321
http://dx.doi.org/10.1093/nar/gnj007
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