Follow
International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2017: 100.00 For more details click here
National Academy of Agricultural Sciences (NAAS) : NAAS Score: *5.38 (2019) [Effective from January 1, 2019]For more details click here

Login as a Reviewer

Indexed in



National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2017: 100.00
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2017: 100.00
For more details click here

See Guidelines to Authors
Current Issues

Original Research Articles

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2017: 100.00
NAAS RATING 2018: 5.38

Int.J.Curr.Microbiol.App.Sci.2019.8(1): 3078-3083
DOI: https://doi.org/10.20546/ijcmas.2019.801.328


In silico Analysis of Copper Nanoparticles Synthesizing Bacteria Contributing Towards Big Data Bank
Priyanka Kashyap*, Poonam Shirkot, Praveen Khatri, Pooja Thakur and Vikrant Gautam
Department of Biotechnology, Dr. YS Parmar University of Horticulture and Forestry, Nauni, Solan (HP) 173 230, India
*Corresponding author
Abstract:

16S rRNA gene sequences are most commonly used for determination or studying the bacterial phylogeny and taxonomy because its present in almost all bacterial population. 16S rRNA gene sequence is remaining conversed during evolution so that 16S rRNA gene identification method is widely used for identification of bacterial diversity. In this study, bacterial population was isolated from soil sample for copper nanoparticles synthesis and maximum copper synthesizing bacteria further used for characterization. Bacteria firstly characterized by using microscopic and biochemical characters and then confirmed by using 16S rRNA gene technology. In this experiment, we have used blastn, Cluster W, MEGA6.0 software to find homology and phylogenetic analysis to identification of bacterial isolate. We have identified Stenotrophomonas maltophilia strain SCS1.1 with a noble trait such as to synthesizing copper nanoparticles.


Keywords: rRNA, Diversity, Homology, Identification and Copper nanoparticles
Download this article as Download

How to cite this article:

Priyanka Kashyap, Poonam Shirkot, Praveen Khatri, Pooja Thakur and Vikrant Gautam. 2019. In silico Analysis of Copper Nanoparticles Synthesizing Bacteria Contributing Towards Big Data Bank.Int.J.Curr.Microbiol.App.Sci. 8(1): 3078-3083. doi: https://doi.org/10.20546/ijcmas.2019.801.328