Engineering bacterial aromatic dioxygenase genes to improve bioremediation

Author(s):  
Vachaspati Mishra ◽  
S. Veeranna ◽  
Jitendra Kumar
Keyword(s):  
2016 ◽  
Vol 363 (10) ◽  
pp. fnw086 ◽  
Author(s):  
Peiqing He ◽  
Li Li ◽  
Jihua Liu ◽  
Yazhi Bai ◽  
Xisheng Fang

1999 ◽  
Vol 45 (2) ◽  
pp. 69-75 ◽  
Author(s):  
Wako Takami ◽  
Takako Yoshida ◽  
Hideaki Nojiri ◽  
Hisakazu Yamane ◽  
Toshio Omori

1993 ◽  
Vol 175 (19) ◽  
pp. 6194-6202 ◽  
Author(s):  
R W Frazee ◽  
D M Livingston ◽  
D C LaPorte ◽  
J D Lipscomb

2000 ◽  
Vol 66 (2) ◽  
pp. 678-683 ◽  
Author(s):  
Matthew B. Mesarch ◽  
Cindy H. Nakatsu ◽  
Loring Nies

ABSTRACT Benzene, toluene, xylenes, phenol, naphthalene, and biphenyl are among a group of compounds that have at least one reported pathway for biodegradation involving catechol 2,3-dioxygenase enzymes. Thus, detection of the corresponding catechol 2,3-dioxygenase genes can serve as a basis for identifying and quantifying bacteria that have these catabolic abilities. Primers that can successfully amplify a 238-bp catechol 2,3-dioxygenase gene fragment from eight different bacteria are described. The identities of the amplicons were confirmed by hybridization with a 238-bp catechol 2,3-dioxygenase probe. The detection limit was 102 to 103 gene copies, which was lowered to 100 to 101 gene copies by hybridization. Using the dioxygenase-specific primers, an increase in catechol 2,3-dioxygenase genes was detected in petroleum-amended soils. The dioxygenase genes were enumerated by competitive quantitative PCR with a 163-bp competitor that was amplified using the same primers. Target and competitor sequences had identical amplification kinetics. Potential PCR inhibitors that could coextract with DNA, nonamplifying DNA, soil factors (humics), and soil pollutants (toluene) did not impact enumeration. Therefore, this technique can be used to accurately and reproducibly quantify catechol 2,3-dioxygenase genes in complex environments such as petroleum-contaminated soil. Direct, non-cultivation-based molecular techniques for detecting and enumerating microbial pollutant-biodegrading genes in environmental samples are powerful tools for monitoring bioremediation and developing field evidence in support of natural attenuation.


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