Analysis of the serological variability of Lettuce mosaic virus using monoclonal antibodies and surface plasmon resonance technology

Candresse, Thierry, Lot, Herve, German-Retana, Sylvie, Krause-Sakate, Renate, Thomas, John, Souche, Sylvie, Delaunay, Thierry, Lanneau, Maryvonne and Le Gall, Olivier (2007) Analysis of the serological variability of Lettuce mosaic virus using monoclonal antibodies and surface plasmon resonance technology. Journal of General Virology, 88 9: 2605-2610.


Author Candresse, Thierry
Lot, Herve
German-Retana, Sylvie
Krause-Sakate, Renate
Thomas, John
Souche, Sylvie
Delaunay, Thierry
Lanneau, Maryvonne
Le Gall, Olivier
Title Analysis of the serological variability of Lettuce mosaic virus using monoclonal antibodies and surface plasmon resonance technology
Formatted title Analysis of the serological variability of Lettuce mosaic virus using monoclonal antibodies and surface plasmon resonance technology
Journal name Journal of General Virology  (ERA 2012 Listed)    (ERA 2010 Rank A)   Check publisher's open access policy
Publication date 2007-09
Sub-type Article
DOI 10.1099/vir.0.82980-0
Volume number 88
Issue number 9
ISSN 0022-1317; 1465-2099
Start page 2605
End page 2610
Total pages 6
Place of publication Reading, Berks, United Kingdom
Publisher Society for General Microbiology
Language eng
Formatted abstract A panel of 19 monoclonal antibodies (mAbs) was used to study the immunological variability of Lettuce mosaic virus (LMV), a member of the genus Potyvirus, and to perform a first epitope characterization of this virus. Based on their specificity of recognition against a panel of 15 LMV isolates, the mAbs could be clustered in seven reactivity groups. Surface plasmon resonance analysis indicated the presence, on the LMV particles, of at least five independent recognition/binding regions, correlating with the seven mAbs reactivity groups. The results demonstrate that LMV shows significant serological variability and shed light on the LMV epitope structure. The various mAbs should prove a new and efficient tool for LMV diagnostic and field epidemiology studies.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article
Collection: Queensland Alliance for Agriculture and Food Innovation
 
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