Characterization, real-time quantification and in silico modeling of arsenate reductase (arsC) genes in arsenic-resistant Herbaspirillum sp. GW103.

@article{Govarthanan2015CharacterizationRQ,
  title={Characterization, real-time quantification and in silico modeling of arsenate reductase (arsC) genes in arsenic-resistant Herbaspirillum sp. GW103.},
  author={Muthusamy Govarthanan and Sang-Myeong Lee and Seralathan Kamala-Kannan and B. Y. Oh},
  journal={Research in microbiology},
  year={2015},
  volume={166 3},
  pages={
          196-204
        }
}
This study investigated the mechanism of arsenic resistance in the diazotrophic bacterium Herbaspirillum sp. GW103 isolated from rhizosphere soil of Phragmites austrails. The isolate Herbaspirillum sp. GW103 exhibited maximum tolerance to arsenic (550 mg/L). Four different arsenate reductase (arsC) genes (arsC1, arsC2, arsC3 and arsC4) were located in the genome of the isolate Herbaspirillum sp. GW103. The expression pattern of the arsC1 differed from other genes. All four types of arsC genes… CONTINUE READING
Related Discussions
This paper has been referenced on Twitter 1 time. VIEW TWEETS

Citations

Publications citing this paper.
Showing 1-3 of 3 extracted citations