| Title |
Molecular Characterization of camphor utilizing bacterial isolates from refinery sludge and detection of target loci-Cytochrome P-450 cam mono oxygenase (cam C gene) by PCR and gene probe
|
|---|---|
| Published in |
SpringerPlus, April 2013
|
| DOI | 10.1186/2193-1801-2-170 |
| Pubmed ID | |
| Authors |
Ganesan Bhuvaneswari |
| Abstract |
This study presents the isolation and molecular characterization of bacterial strains utilizing 1, 7, 7-Trimethylbicyclo (2.2.1) heptane-2-one (camphor) as a sole source of carbon, isolated from the biomass sludge sample collected from an effluent treatment plant of Mathura Refinery Limited (MRL), India. Initial screening was carried out where the 16S rDNA PCR was performed using reported eubacterial primer set followed by Amplified Ribosomal DNA Restriction Analysis (ARDRA). About 47% of the isolates have shown unique ARDRA pattern based on which, 15 distinct isolates were selected and tested for the presence of cam C gene that was successfully demonstrated by PCR using gene specific primers. A Dot-Blot experiment was designed to detect the cam C loci in the plasmid DNA of all camphor isolates based on non-radioactive "Biotin-Streptavidin" detection system. The bacterial identity with respect to partial 16S rDNA gene sequences of all camphor isolates placed them in 9 major genera viz., Pseudomonas sp., Staphylococcus sp., Alcaligenes sp., Agromyces sp., Stenotrophomonas sp., Reichenowia sp., Achromobacter sp., Brevibacterium sp. and Pseudaminobacter sp. A detailed phylogentic tree was also constructed to establish their evolutionary status from the gene sequence data. |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 5% |
| Unknown | 20 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 33% |
| Student > Master | 6 | 29% |
| Student > Doctoral Student | 2 | 10% |
| Researcher | 2 | 10% |
| Professor > Associate Professor | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 3 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 29% |
| Environmental Science | 5 | 24% |
| Biochemistry, Genetics and Molecular Biology | 2 | 10% |
| Unspecified | 1 | 5% |
| Computer Science | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 4 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 April 2013.
All research outputs
#20,190,878
of 22,707,247 outputs
Outputs from SpringerPlus
#1,461
of 1,852 outputs
Outputs of similar age
#172,299
of 197,532 outputs
Outputs of similar age from SpringerPlus
#73
of 133 outputs
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