DocumentCode
2134890
Title
Sequence analysis of the OmpA/MotB gene from Riemerella anatipestifer by bioinformatics
Author
Pan Xu ; Dekang Zhu ; Xiaojia Wang ; Xiaoyue Chen ; Anchun Cheng ; Mingshu Wang
Author_Institution
Avian Disease Res. Center, Med. of Sichuan Agric. Univ., Yaan, China
fYear
2012
fDate
16-18 Oct. 2012
Firstpage
1217
Lastpage
1220
Abstract
The OmpA/MotB gene from Riemerella anatipestifer (RA) by our lab was sequenced. And the molecular characteristic of this gene was analyzed by computational gene and protein in bioinformatics. The result indicated that an open reading frame(ORF) containing 379bp nucleotides was preliminarily identified by aligning with gene bank database by software of BlastN and ORF Finder. The relative molecular weight of the protein was 43.5249kDa, and there is no signal peptide and transmembrane region of the protein. Four N-glycosylation sites, nine Protein kinase C phosphorylation sites, seven Casein kinase II phosphorylation sites, three N-cardamom acylation site, and antigenic determinants were searched in the protein. Most of the total proteins were located in the cytoplasmic and nuclear. Phylogenetic tree of the amino acids sequences showed this gene has a close evolutionary relationship with Elizabethkingia anopheles Ag1, Flavobacteriaceae bacterium 3519-10 and Weeksella virosa DSM16922, indicating that the RA OmpA/MotB protein may have some similar functions with them. These results predicted rational data to elucidate biological function and physiological features of the gene.
Keywords
bioinformatics; genetics; microorganisms; molecular biophysics; molecular weight; proteins; BlastN; Casein kinase II phosphorylation sites; Elizabethkingia anopheles Ag1; Flavobacteriaceae bacterium 3519-10; N-cardamom acylation site; N-glycosylation sites; ORF Finder; OmpA/MotB gene; RA OmpA/MotB protein; Riemerella anatipestifer; Weeksella virosa DSM16922; amino acids sequences; antigenic determinants; bioinformatics; biological function; computational gene; gene bank database; molecular characteristic; nucleotides; open reading frame; phylogenetic tree; physiological features; protein kinase C phosphorylation sites; relative molecular weight; sequence analysis; OmpA/MotB gene; RA; bioinformatics; sequence analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Informatics (BMEI), 2012 5th International Conference on
Conference_Location
Chongqing
Print_ISBN
978-1-4673-1183-0
Type
conf
DOI
10.1109/BMEI.2012.6513053
Filename
6513053
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