Research Article

Molecular Characterization and Bioinformatics Analysis of Virb11 in Vibrio Harveyi  

Denicia  Atujona , Weijian  Liang , Shuanghu  Cai , huanying pang , Umar Faruk  Mustapha , Michael Essien  Sekyi , Emmanuel. D.  Abarike
1 College of Fisheries, Guangdong Ocean University, Zhanjiang 524025, China
2 Guangdong Provincial Key Laboratory of Aquaculture in the South China Sea for Aquatic Economic Animals, Zhanjiang 524025, China
3 Guangdong Provincial Key Laboratory of Pathogenic Biology and Epidemiology for Aquatic Economic Animals, Zhanjiang 524025, China
4 Department of Fisheries and Aquatic Resources Management, University for Development Studies, Tamale-Ghana

Author    Correspondence author
Genomics and Applied Biology, 2018, Vol. 9, No. 8   doi: 10.5376/gab.2018.09.0008
Received: 17 Aug., 2018    Accepted: 25 Aug., 2018    Published: 10 Sep., 2018
© 2018 BioPublisher Publishing Platform
This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Preferred citation for this article:

 Atujona D., Liang W.J.,Cai S.H., Pang H.Y., Mustapha U.F., Sakyi E. M., and Abarike E.D., 2018, Molecular characterization and bioinformatics analysis of Virb11 in Vibrio harveyi, Genomics and Applied Biology, 9(8): 48-55 (doi: 10.5376/gab.2018.09.0008)

Abstract

Vibrio harveyi has caused devastating loses in mariculture through vibrioses infection. VirB11 plays a critical role in bacteria substrate translocation and virulence. The present study is a bioinformatic analysis of VirB11 in Vibrio harveyi. VirB11 was cloned and analyzed, unveiling an encoded nucleotide sequence of 1,034 bp coding 338 amino acids. A molecular weight and pI of 37,703.39 Da and 6.31 were respectively predicted. No signal peptides and transmembranes were predicted. A conserved P-loop NTPase was predicted, multiple predictions also included 3D module.

Keywords
Vibrio harveyi; VirB11; Bioinformatic analysis
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. Denicia  Atujona
. Weijian  Liang
. Shuanghu  Cai
. huanying pang
. Umar Faruk  Mustapha
. Michael Essien  Sekyi
. Emmanuel. D.  Abarike
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