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Wang H, Chen X, Zhu L, Fang X, Gao K, Fang C, Liu J, Gu Y, Liang X, Yang Y. Preparation of a novel monoclonal antibody against Avian leukosis virus subgroup J Gp85 protein and identification of its epitope. Poult Sci 2021; 100:101108. [PMID: 34116348 PMCID: PMC8192869 DOI: 10.1016/j.psj.2021.101108] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 03/01/2021] [Accepted: 03/02/2021] [Indexed: 11/22/2022] Open
Abstract
Avian leukosis virus subgroup J (ALV-J) is an avian oncogenic retrovirus that has caused huge economic losses in the poultry industry due to its great pathogenicity and transmission ability. However, the continuous emergence of new strains would bring challenges to diagnosis and control of ALV-J. .This study focuses on preparing the monoclonal antibody (MAb) against ALV-J Gp85 and identifying its epitope. The truncated ALV-J gp85 gene fragment was amplified and then cloned into expression vectors. Purified GST-Gp85 was used to immune mice and His-Gp85 was used to screen MAb. Finally, a hybridoma cell line named J16 that produced specific MAb against the ALV-J. Immunofluorescence assay showed that MAb J16 specifically recognized ALV-J rather than ALV-A or ALV-K infected DF-1 cells. To identify the epitope recognized by MAb J16, fourteen partially overlapping ALV-J Gp85 fragments were prepared and tested by Western blot. The results indicated that peptide 150-LIRPYVNQ-157 was the minimal epitope of ALV-J Gp85 recognized by MAb J16. Alignment analysis of Gp85 from different ALV subgroups showed that the epitope keep high conservation among 36 ALV-J strains, but significant different from that of ALV subgroup A, B, C, D, E and K. Overall, we prepared a MAb specific against ALV-J and identified peptide 150-LIRPYVNQ-157 as a novel specific epitope of ALV-J Gp85, which may assist in laying the foundation for specific ALV-J detection methods.
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Affiliation(s)
- Houkun Wang
- School of Animal Science, Yangtze University, Jingzhou 434025, China
| | - Xueyang Chen
- School of Animal Science, Yangtze University, Jingzhou 434025, China
| | - Lilin Zhu
- School of Animal Science, Yangtze University, Jingzhou 434025, China
| | - Xiaowei Fang
- School of Animal Science, Yangtze University, Jingzhou 434025, China
| | - Keli Gao
- School of Animal Science, Yangtze University, Jingzhou 434025, China
| | - Chun Fang
- School of Animal Science, Yangtze University, Jingzhou 434025, China
| | - Jing Liu
- School of Animal Science, Yangtze University, Jingzhou 434025, China
| | - Yufang Gu
- School of Animal Science, Yangtze University, Jingzhou 434025, China
| | - Xiongyan Liang
- School of Animal Science, Yangtze University, Jingzhou 434025, China
| | - Yuying Yang
- School of Animal Science, Yangtze University, Jingzhou 434025, China.
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Schares G, Nascimento D, Bärwald A, Jutras C, Rivard S, Brodeur V, DeNotta SL, Basso W, Conraths FJ. First highly sensitive and specific competitive ELISA for detection of bovine besnoitiosis with potential as a multi-species test. Int J Parasitol 2020; 50:389-401. [PMID: 32169472 DOI: 10.1016/j.ijpara.2019.12.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 11/26/2019] [Accepted: 12/23/2019] [Indexed: 10/24/2022]
Abstract
Serological cross-reactions represent a serious problem in some currently available tests to diagnose Besnoitia infections in many species including cattle, caribou and donkeys. False-positive results are due to the low positive-predictive value of these serological tests for besnoitiosis. These tests therefore have clear limitations if large herds are screened in areas with low prevalence, since increased numbers of false-positive reactions require confirmatory testing by alternative serological methods, e.g. immunoblotting, which are time-consuming and create extra costs. To overcome this problem, we aimed to develop a highly sensitive and specific competitive ELISA (cELISA) using a panel of 12 monoclonal antibodies raised against the tachyzoite stage of Besnoitia besnoiti. A cELISA set up with one of these antibodies (Bb-cELISA1) was screened with a large panel of B. besnoiti-positive bovine sera to estimate the diagnostic sensitivity of the test. Sera from herds with Neospora caninum- or Sarcocystis spp.-infected cattle were used to estimate its diagnostic specificity. Relative to a reference standard, which combined the results obtained in a previously established highly sensitive and specific ELISA, in the immunofluorescence antibody test and in B. besnoiti tachyzoite and bradyzoite immunoblots, the new Bb-cELISA1 revealed a diagnostic sensitivity of 99.2% (95% confidence interval: 97.1-99.9%) and a diagnostic specificity of 99.9% (95% confidence interval: 97.7-100%). This novel assay was tested on a variety of proven Besnoitia-positive sera from other species, including B. besnoiti-infected cats, rabbits or Besnoitia bennetti-infected donkeys or Besnoitia tarandi-infected caribou. The results obtained with the new Besnoitia-cELISA for these animal species also corresponded almost perfectly with those of the reference tests, which included immunoblot and immunofluorescence antibody tests. In conclusion, the novel Besnoitia-cELISA represents a valuable tool for the diagnosis and control of bovine besnoitiosis and for studies on the epidemiology of Besnoitia infections in a variety of host species, including naturally exposed wildlife and experimental hosts.
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Affiliation(s)
- Gereon Schares
- Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Institute of Epidemiology, Südufer 10, 17493 Greifswald, Insel Riems, Germany.
| | - Daniela Nascimento
- Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Institute of Epidemiology, Südufer 10, 17493 Greifswald, Insel Riems, Germany
| | - Andrea Bärwald
- Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Institute of Epidemiology, Südufer 10, 17493 Greifswald, Insel Riems, Germany
| | - Charles Jutras
- Direction de la gestion de la faune du Nord-du-Québec, Ministère des Forêts, de la Faune et des Parcs du Québec, 951 boul. Hamel, Chibougamau (Québec) G8P 2Z3, Canada
| | - Stephane Rivard
- Direction de la gestion de la faune du Nord-du-Québec, Ministère des Forêts, de la Faune et des Parcs du Québec, 951 boul. Hamel, Chibougamau (Québec) G8P 2Z3, Canada
| | - Vincent Brodeur
- Direction de la gestion de la faune du Nord-du-Québec, Ministère des Forêts, de la Faune et des Parcs du Québec, 951 boul. Hamel, Chibougamau (Québec) G8P 2Z3, Canada
| | - SallyAnne L DeNotta
- Department of Large Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, 2015 SW 16th Avenue PO Box 100136, Gainesville, FL 32610, USA
| | - Walter Basso
- Institute of Parasitology, University of Bern, Länggassstrasse 122, 3012 Bern, Switzerland; Institute of Parasitology, University of Zurich, Winterthurerstrasse 266a, 8057 Zurich, Switzerland
| | - Franz J Conraths
- Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Institute of Epidemiology, Südufer 10, 17493 Greifswald, Insel Riems, Germany
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