| Title |
Diversity of alkane hydroxylase genes on the rhizoplane of grasses planted in petroleum-contaminated soils
|
|---|---|
| Published in |
SpringerPlus, September 2015
|
| DOI | 10.1186/s40064-015-1312-0 |
| Pubmed ID | |
| Authors |
Shun Tsuboi, Shigeki Yamamura, Toshiaki Nakajima-Kambe, Kazuhiro Iwasaki |
| Abstract |
The study investigated the diversity and genotypic features of alkane hydroxylase genes on rhizoplanes of grasses planted in artificial petroleum-contaminated soils to acquire new insights into the bacterial communities responsible for petroleum degradation in phytoremediation. Four types of grass (Cynodon dactylon, two phenotypes of Zoysia japonica, and Z. matrella) were used. The concentrations of total petroleum hydrocarbon effectively decreased in the grass-planted systems compared with the unplanted system. Among the representative alkane hydroxylase genes alkB, CYP153, almA and ladA, the first two were detected in this study, and the genotypes of both genes were apparently different among the systems studied. Their diversity was also higher on the rhizoplanes of the grasses than in unplanted oil-contaminated soils. Actinobacteria-related genes in particular were among the most diverse alkane hydroxylase genes on the rhizoplane in this study, indicating that they are one of the main contributors to degrading alkanes in oil-contaminated soils during phytoremediation. Actinobacteria-related alkB genes and CYP153 genes close to the genera Parvibaculum and Aeromicrobium were found in significant numbers on the rhizoplanes of grasses. These results suggest that the increase in diversity and genotype differences of the alkB and CYP153 genes are important factors affecting petroleum hydrocarbon-degrading ability during phytoremediation. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Unknown | 33 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 24% |
| Student > Ph. D. Student | 7 | 21% |
| Student > Master | 5 | 15% |
| Student > Doctoral Student | 3 | 9% |
| Student > Bachelor | 2 | 6% |
| Other | 4 | 12% |
| Unknown | 5 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 35% |
| Environmental Science | 7 | 21% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Immunology and Microbiology | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 11 | 32% |
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 22 September 2015.
All research outputs
#18,427,608
of 22,829,083 outputs
Outputs from SpringerPlus
#1,260
of 1,850 outputs
Outputs of similar age
#196,381
of 272,855 outputs
Outputs of similar age from SpringerPlus
#85
of 124 outputs
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