Literature DB >> 23538285

Differences in the antigen structures of Corynebacterium pseudotuberculosis and the induced humoral immune response in sheep and goats.

Ludwig E Hoelzle1, Tanja Scherrer, Jeanette Muntwyler, Max M Wittenbrink, Werner Philipp, Katharina Hoelzle.   

Abstract

Caseous lymphadenitis (CLA), a disease affecting sheep and goats, is caused by Corynebacterium pseudotuberculosis (Cp). Eradication programs are based on the serological identification of Cp infected animals. However, available diagnostic ELISAs are not similarly suitable for sheep and goats. In the present study the comparison of antigens revealed major species specific differences between sheep and goat derived Cp field isolates as well as between field isolates and the Cp ATCC reference strains. Furthermore, we found species-specific differences in the anti-Cp humoral immune response between sheep and goats. The analysis of band frequency was able to distinguish between immunodominant and non-immunodominant protein bands. The 150 kDa, 74 kDa, 48 kDa, and 30 kDa antigens were immunodominant in both, sheep and goats. Interestingly, the most commonly used diagnostic antigen, i.e. the 30 kDa phospholipase D (PLD), was recognized by 100% of the Cp positive goats but only by 70% of the Cp positive sheep. Furthermore, analysis of field sera revealed that there were a particular percentage of Cp positive sera which reacted negative with the PLD. In conclusion our results clearly showed that (1) the application of a combination of further defined immunodominant Cp antigens - in addition to the PLD antigen - and (2) consideration of species-specific differences in the anti-Cp immune response will substantially contribute to the improvement of Cp serological diagnostics and to effective eradication programs in both sheep and goats.
Copyright © 2013 Elsevier B.V. All rights reserved.

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Year:  2013        PMID: 23538285     DOI: 10.1016/j.vetmic.2013.02.031

Source DB:  PubMed          Journal:  Vet Microbiol        ISSN: 0378-1135            Impact factor:   3.293


  6 in total

1.  Assessment of rSodC, rPknG, rNanH, and rSpaC as Antigens for Diagnostic Tools Against Caseous Lymphadenitis.

Authors:  Ramon Mendes Dos Santos; Silvana Beutinger Marchioro; Marcos Borges Ribeiro; Maria da Conceição Aquino de Sá; Vítor Cordeiro Pereira; Antonio Pedro Froes de Farias; Roberto José Meyer Nascimento; Songelí Menezes Freire
Journal:  Curr Microbiol       Date:  2022-08-08       Impact factor: 2.343

2.  The gut microbiome of hooded cranes (Grus monacha) wintering at Shengjin Lake, China.

Authors:  Guanghong Zhao; Lizhi Zhou; Yuanqiu Dong; Yuanyuan Cheng; Yunwei Song
Journal:  Microbiologyopen       Date:  2017-01-26       Impact factor: 3.139

3.  A panel of recombinant proteins for the serodiagnosis of caseous lymphadenitis in goats and sheep.

Authors:  Thiago Doria Barral; Ricardo Barros Mariutti; Raghuvir Krishnaswamy Arni; Anderson Jesus Santos; Dan Loureiro; Ana Rita Sokolonski; Vasco Azevedo; Sibele Borsuk; Roberto Meyer; Ricardo Dias Portela
Journal:  Microb Biotechnol       Date:  2019-07-09       Impact factor: 5.813

4.  Utility assessment of an Enzyme-linked immunosorbent assay for detection of subclinical cases of caseous lymphadenitis in small ruminant flocks.

Authors:  Lina Costa; Belén Huerta; Ángela Galán-Relaño; Lídia Gómez-Gascón; Anabela Almeida; Inês Viegas; Alfonso Maldonado
Journal:  Vet Med Sci       Date:  2020-06-22

5.  Corynebacterium pseudotuberculosis Infections in Alpacas (Vicugna pacos).

Authors:  Reinhard Sting; Claudia Geiger; Wolfram Rietschel; Birgit Blazey; Ingo Schwabe; Jörg Rau; Lisa Schneider-Bühl
Journal:  Animals (Basel)       Date:  2022-06-22       Impact factor: 3.231

Review 6.  Insight of Genus Corynebacterium: Ascertaining the Role of Pathogenic and Non-pathogenic Species.

Authors:  Alberto Oliveira; Leticia C Oliveira; Flavia Aburjaile; Leandro Benevides; Sandeep Tiwari; Syed B Jamal; Arthur Silva; Henrique C P Figueiredo; Preetam Ghosh; Ricardo W Portela; Vasco A De Carvalho Azevedo; Alice R Wattam
Journal:  Front Microbiol       Date:  2017-10-12       Impact factor: 5.640

  6 in total

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