Literature DB >> 11722542

Optimization of an oligonucleotide microchip for microbial identification studies: a non-equilibrium dissociation approach.

W T Liu1, A D Mirzabekov, D A Stahl.   

Abstract

The utility of a high-density oligonucleotide microarray (microchip) for identifying strains of five closely related bacilli (Bacillus anthracis, Bacillus cereus, Bacillus mycoides, Bacillus medusa and Bacillus subtilis) was demonstrated using an approach that compares the non-equilibrium dissociation rates ('melting curves') of all probe-target duplexes simultaneously. For this study, a hierarchical set of 30 oligonucleotide probes targeting the 16S ribosomal RNA of these bacilli at multiple levels of specificity (approximate taxonomic ranks of domain, kingdom, order, genus and species) was designed and immobilized in a high-density matrix of gel pads on a glass slide. Reproducible melting curves for probes with different levels of specificity were obtained using an optimized salt concentration. Clear discrimination between perfect match (PM) and mismatch (MM) duplexes was achieved. By normalizing the signals to an internal standard (a universal probe), a more than twofold discrimination (> 2.4x) was achieved between PM and 1-MM duplexes at the dissociation temperature at which 50% of the probe-target duplexes remained intact. This provided excellent differentiation among representatives of different Bacillus species, both individually and in mixtures of two or three. The overall pattern of hybridization derived from this hierarchical probe set also provided a clear 'chip fingerprint' for each of these closely related Bacillus species.

Entities:  

Keywords:  NASA Discipline Life Sciences Technologies; Non-NASA Center

Mesh:

Substances:

Year:  2001        PMID: 11722542     DOI: 10.1046/j.1462-2920.2001.00233.x

Source DB:  PubMed          Journal:  Environ Microbiol        ISSN: 1462-2912            Impact factor:   5.491


  44 in total

1.  Single-base-pair discrimination of terminal mismatches by using oligonucleotide microarrays and neural network analyses.

Authors:  Hidetoshi Urakawa; Peter A Noble; Said El Fantroussi; John J Kelly; David A Stahl
Journal:  Appl Environ Microbiol       Date:  2002-01       Impact factor: 4.792

2.  Parallel characterization of anaerobic toluene- and ethylbenzene-degrading microbial consortia by PCR-denaturing gradient gel electrophoresis, RNA-DNA membrane hybridization, and DNA microarray technology.

Authors:  Yoshikazu Koizumi; John J Kelly; Tatsunori Nakagawa; Hidetoshi Urakawa; Saïd El-Fantroussi; Saleh Al-Muzaini; Manabu Fukui; Yoshikuni Urushigawa; David A Stahl
Journal:  Appl Environ Microbiol       Date:  2002-07       Impact factor: 4.792

3.  Optimization of single-base-pair mismatch discrimination in oligonucleotide microarrays.

Authors:  Hidetoshi Urakawa; Said El Fantroussi; Hauke Smidt; James C Smoot; Erik H Tribou; John J Kelly; Peter A Noble; David A Stahl
Journal:  Appl Environ Microbiol       Date:  2003-05       Impact factor: 4.792

Review 4.  Methodologies for the characterization of microbes in industrial environments: a review.

Authors:  Johanna Maukonen; Jaana Mättö; Gun Wirtanen; Laura Raaska; Tiina Mattila-Sandholm; Maria Saarela
Journal:  J Ind Microbiol Biotechnol       Date:  2003-05-23       Impact factor: 3.346

5.  probeBase: an online resource for rRNA-targeted oligonucleotide probes.

Authors:  Alexander Loy; Matthias Horn; Michael Wagner
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

6.  Fingerprinting of prokaryotic 16S rRNA genes using oligodeoxyribonucleotide microarrays and virtual hybridization.

Authors:  Miguel Angel Reyes-López; Alfonso Méndez-Tenorio; Rogelio Maldonado-Rodríguez; Mitchel J Doktycz; James T Fleming; Kenneth L Beattie
Journal:  Nucleic Acids Res       Date:  2003-01-15       Impact factor: 16.971

7.  Automated purification and suspension array detection of 16S rRNA from soil and sediment extracts by using tunable surface microparticles.

Authors:  Darrell P Chandler; Ann E Jarrell
Journal:  Appl Environ Microbiol       Date:  2004-05       Impact factor: 4.792

8.  In-depth characterization via complementing culture-independent approaches of the microbial community in an acidic hot spring of the Colombian Andes.

Authors:  Laura C Bohorquez; Luisa Delgado-Serrano; Gina López; César Osorio-Forero; Vanja Klepac-Ceraj; Roberto Kolter; Howard Junca; Sandra Baena; María Mercedes Zambrano
Journal:  Microb Ecol       Date:  2011-09-27       Impact factor: 4.552

9.  Assessment of cry1 gene contents of Bacillus thuringiensis strains by use of DNA microarrays.

Authors:  Jaroslaw Letowski; Alejandra Bravo; Roland Brousseau; Luke Masson
Journal:  Appl Environ Microbiol       Date:  2005-09       Impact factor: 4.792

10.  16S rRNA gene-based oligonucleotide microarray for environmental monitoring of the betaproteobacterial order "Rhodocyclales".

Authors:  Alexander Loy; Claudia Schulz; Sebastian Lücker; Andreas Schöpfer-Wendels; Kilian Stoecker; Christian Baranyi; Angelika Lehner; Michael Wagner
Journal:  Appl Environ Microbiol       Date:  2005-03       Impact factor: 4.792

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