IDEAS home Printed from https://ideas.repec.org/a/ags/asagre/341799.html
   My bibliography  Save this article

Amplification and Bioinformatics Analysis of vscN Gene from Vibrio alginolyticus

Author

Listed:
  • Yin, Linlin
  • Li, Wen
  • Feng, Haiyun
  • Zhang, Weijie
  • Wang, Junlin
  • Pang, Huanying
  • Wang, Na

Abstract

[Objectives] The paper was to clone and analyze bioinformatics of vscN gene from Vibrio alginolyticus. [Methods] A pair of specific primers was designed based on the vscN gene sequence of V. alginolyticus HY9901. The full length of vscN gene was amplified by PCR and bioinformatics analysis was performed. [Results] The vscN gene was 1 323 bp in total, encoding 440 amino acids, with the theoretical molecular weight of 47.86 kD and the theoretical pI value of 5.89. The online prediction showed that there was no signal peptide and no transmembrane region in VscN. The amino acid sequence had 10 N-myristoylation sites, 8 phosphorylation sites (2 protein kinase C phosphorylation sites, 6 casein kinase II phosphorylation sites), 1 amidation site, 11 microbody C-terminal target signal sites, 1 ATP/GTP binding site motif A (P ring), and 1 ATPase α and β subunit specific site. Homology analysis showed that the VscN protein of V. alginolyticus had high homology with that of V. antiquarius, with a similarity of 95.14%. Phylogenetic tree analysis showed that the VscN of V. alginolyticus was clustered into the same subgroup as that of V. diabolicus and V. antiquarius. Functional domain analysis of VscN protein showed that it had Pfam and AAA domains, and involved in the regulation of bacterial virulence. The three-dimensional structure model of VscN simulated by SWISS-MODEL software was similar to the structure of flagellate-specific ATPase FliH-FliI complex. [Conclusions] The results lay a foundation for further study on the regulatory mechanism of VscN protein on bacterial virulence.

Suggested Citation

  • Yin, Linlin & Li, Wen & Feng, Haiyun & Zhang, Weijie & Wang, Junlin & Pang, Huanying & Wang, Na, 2023. "Amplification and Bioinformatics Analysis of vscN Gene from Vibrio alginolyticus," Asian Agricultural Research, USA-China Science and Culture Media Corporation, vol. 15(05), May.
  • Handle: RePEc:ags:asagre:341799
    DOI: 10.22004/ag.econ.341799
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/341799/files/7.PDF
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.341799?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    Agribusiness;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:asagre:341799. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.