SciELO - Scientific Electronic Library Online

 
vol.37 issue1Effect of sperm separation techniques on the viability and acrosome reaction of frozen-thawed ovine spermatozoidsStudy of the acute pulmonary toxicity/pathogenicity in rats treated with Metarrhizium anisopliae author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Article

Indicators

  • Have no cited articlesCited by SciELO

Related links

  • Have no similar articlesSimilars in SciELO

Share


Revista de Salud Animal

On-line version ISSN 2224-4700

Abstract

AGUERO, José Antonio; AGUILAR-BULTET, Lisandra  and  RODRIGUEZ, Ariadna. Molecular cloning and expression of a computationally predicted surface antigen of Mycoplasma gallisepticum. Rev Salud Anim. [online]. 2015, vol.37, n.1, pp. 21-26. ISSN 2224-4700.

Mycoplasmas, the simplest self-replicating organisms known, are distinguished phenotypically from other bacteria by their minute size and total lack of cell wall. The poultry industry is affected by several species of mycoplasmas, but Mycoplasma gallisepticum (MG) is the most economically significant one. The attachment of mycoplasmas to host respiratory epithelial cells constitutes a critical step in the pathway leading to infection and disease and is achieved by lipoproteins localized on the bacterial surface. In a recent in silico study, it was predicted a set of MG putative surface proteins with potential antigenic properties that could be used as candidates for exploring new vaccines, and for diagnostic tests as well. One of those potential candidates was the OppA. In this work we described the molecular cloning of the DNA segment that encodes a fragment of OppA, a polypeptide of 233 aa and about 30 kDa, as well as its expression, purification and immunogenic response induced by the product obtained.

Keywords : Mycoplasma gallisepticum; surface protein; recombinant protein; IMAC purification.

        · abstract in Spanish     · text in English     · English ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License