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Generation of Escape Variants of Neutralizing Influenza Virus Monoclonal Antibodies

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Monoclonal Antibody-Based Serological Detection Methods for Wheat Dwarf Virus.

Minghao Zhang¹, Rui Chen¹, Xueping Zhou^2,3

¹State Key Laboratory of Rice Biology, Institute of Biotechnology, Zhejiang University, Hangzhou, 310058, China.

Virologica Sinica

|April 11, 2018

Summary

Researchers developed sensitive serological assays to detect wheat dwarf virus (WDV) in wheat. These methods, using monoclonal antibodies, identified WDV in 62% of surveyed Chinese wheat samples, aiding disease control efforts.

Keywords:

ACP-ELISA Dot-ELISA Monoclonal antibody Wheat dwarf virus (WDV)

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Area of Science:

Plant pathology
Virology
Immunotechnology

Background:

Wheat dwarf virus (WDV) causes significant yield losses in wheat crops across China.
Existing detection methods may lack the sensitivity or efficiency required for widespread disease management.

Purpose of the Study:

To develop and validate reliable and effective serological detection methods for WDV.
To assess the prevalence of WDV in wheat-growing regions of China.

Main Methods:

Cloning and expression of the WDV coat protein (CP) gene in E. coli.
Production of anti-WDV monoclonal antibodies (MAbs) using hybridoma technology.
Establishment and optimization of antigen-coated-plate ELISA (ACP-ELISA) and dot-ELISA using developed MAbs.

Main Results:

Four hybridoma cell lines secreting anti-WDV MAbs were successfully generated.
Highly sensitive ACP-ELISA (up to 1:163,840 dilution) and dot-ELISA (up to 1:5,120 dilution) were established.
Serological assays detected WDV in 62% of 128 wheat samples from Shaanxi and Qinghai provinces, China, with results validated by PCR and sequencing.

Conclusions:

The developed ACP-ELISA and dot-ELISA are highly sensitive and effective for WDV detection in wheat.
These serological methods offer significant utility for the surveillance and control of WDV in China.