©2021-2033. All Rights Reserved. Online Journal of Veterinary Research . You may not store these pages in any form except for your own personal use. All other usage or distribution is illegal under international copyright treaties. Permission to use any of these pages in any other way besides the before mentioned must be gained in writing from the publisher. This article is exclusively copyrighted in its entirety to OJVR. This article may be copied once but may not be, reproduced or re-transmitted without the express permission of the editors. This journal satisfies the refereeing requirements (DEST) for the Higher Education Research Data Collection (Australia). Linking:To link to this page or any pages linking to this page you must link directly to this page only here rather than put up your own page.


OJVRTM

Online Journal of Veterinary Research©

(Including Medical and Laboratory Research)

Established 1994
ISSN 1328-925X

 

Volume 27 (3): 184-189, 2023.


Selection pressure of African swine fever virus attachment protein p12 gene.

 

You-Fang Chen1, Youhua Chen2

 

1School of Software, Harbin Normal University, Heilongjiang Province, China, 2Department of Renewable Resources, University of Alberta, Edmonton, T6G 2H1, Canada

 

ABSTRACT

 

Chen YF, Chen YH., Selection of African swine fever virus attachment protein p12 gene, Onl J Vet Res., 27 (3): 184-189, 2023. We describe selection pressure for attachment protein p12 gene of African swine fever virus. Phylogenetic relationship between seventeen p12 gene sequences shows conservative sequence similarity with very low nucleotide diversity (=0.0139). None of the models were different from nested ones suggesting that the attachment protein p12 gene is not subject to selection pressure due to high conservatism. We find no evidence of positive selection on the structural protein p12 gene, suggesting the gene has undergone purifying selection because the gene is vital for attachment and unlikely to undergo adaptive evolution.

 

KEYWORDS: natural selection, structural protein, adaptive evolution, Bayesian probability.


MAIN

 

FULL-TEXT (SUBSCRIBE OR PURCHASE TITLE)