Fingerprinting of prokaryotic 16S rRNA genes using oligodeoxyribonucleotide microarrays and virtual hybridization
Author(s) -
Miguel Ángel ReyesLópez
Publication year - 2003
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkg132
Subject(s) - biology , amplicon , dna microarray , genetics , 16s ribosomal rna , ribosomal rna , nucleic acid thermodynamics , oligomer restriction , hybridization probe , microbiology and biotechnology , oligonucleotide , in situ hybridization , gene , dna–dna hybridization , polymerase chain reaction , computational biology , gene expression , base sequence
An oligonucleotide microarray hybridization system to differentiate microbial species was designed and tested. Seven microbial species were studied, including one Bacillus and six Pseudomonas strains. DNA sequences near the 5' end of 16S rRNA genes were aligned and two contiguous regions of high variability, flanked by highly conserved sequences, were found. The conserved sequences were used to design PCR primers which efficiently amplified these polymorphic regions from all seven species. The amplicon sequences were used to design 88 9mer hybridization probes which were arrayed onto glass slides. Single-stranded, fluorescence-tagged PCR products were hybridized to the microarrays at 15 degrees C. The experimental results were compared with the DeltaG(0) values for all matched and mismatched duplexes possible between the synthetic probes and the 16S target sequences of the seven test species, calculated using a 'virtual hybridization' software program. Although the observed hybridization patterns differed significantly from patterns predicted solely on the basis of perfect sequence matches, a unique hybridization fingerprint was obtained for each of the species, including closely related Pseudomonas species, and there was a reasonable correlation between the intensity of observed hybridization signals and the calculated DeltaG(0) values. The results suggest that both perfect and mismatched pairings can contribute to microbial identification by hybridization fingerprinting.
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