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Applied and Environmental Microbiology, October 1998, p. 3698-3706, Vol. 64, No. 10
Center for Environmental Biotechnology, The
University of Tennessee, Knoxville, Tennessee 37996
Received 9 March 1998/Accepted 7 July 1998
The differential display (DD) technique, which is widely used
almost exclusively for eukaryotic gene discovery, was optimized to
detect differential mRNA transcription from both pure-culture and
soil-derived bacterial RNA. A model system which included toluene
induction of todC1 in Pseudomonas putida F1 was
used to optimize the procedure. At 24-h tod induction was
determined to be approximately 8 × 107
transcripts/µg or 0.08% of the total mRNA. The primer concentration, primer length, annealing temperature, and template, deoxynucleoside triphosphate, and MgCl2 concentrations were varied to
optimize amplification of a todC1 fragment. The limit of
detection of todC1 by DD was found to be 0.015 ng of total
RNA template or approximately 103 transcripts. Once
optimized, a todC1C2 gene fragment from P. putida F1 RNA was detected by using an arbitrary primer for the reverse transcriptase step in conjunction with the same arbitrary primer and a Shine-Dalgarno primer in the PCR. To verify the results, an arbitrary primer was used to detect recovery of a new
salicylate-inducible naphthalene dioxygenase in Burkholderia
cepacia JS150. The method was then used to detect mRNA induction
in both inoculated and uninoculated toluene-induced soil microcosms.
Several putative differentially expressed partial gene sequences
obtained from the uninoculated microcosms were examined, and one novel
fragment was found to be differentially expressed.
0099-2240/98/$04.00+0
Copyright © 1998, American Society for Microbiology. All rights reserved.
Optimization of Differential Display of Prokaryotic
mRNA: Application to Pure Culture and Soil Microcosms
*
Corresponding author. Mailing address: Center for
Environmental Biotechnology, The University of Tennessee, 676 Dabney
Hall, Knoxville, TN 37996. Phone: (423) 974-8080. Fax: (423) 974-8086. E-mail: jtf{at}utk.edu.
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