Gorris, María Teresa and Sanz, Antonio and Peñalver, Javier and López, María M. and Colomer, Mario and Marco-Noales, Ester (2020) Detection and Diagnosis of Xylella fastidiosa by Specific Monoclonal Antibodies. Agronomy, 11 (1). p. 48. ISSN 2073-4395
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Abstract
Monoclonal antibodies (MAb) specific to Xylella fastidiosa were obtained through hybridoma technology using heat-treated somatic O antigens from LMG 17159strain. Ten stable hybrydoma clones secreting MAb were selected and their isotype was determined. The MAbs 2G1/PPD, IgG1 showed specificity for X. fastidiosa, detecting all the analyzed strains representing different subspecies, STs and hosts. Polyclonal antibodies (PAb) against X. fastidiosa were also produced and antiserum 17159-O/IVIA was selected for the highest titre and its excellent detection capability. MAb 2G1/PPD was tested against strain IVIA 5235 in PBS and in spiked raw extract samples from almond, olive, citrus, and other hosts and its sensitivity by DAS-ELISA was 104 CFU mL−1. The MAb also reacted with high affinity and avidity against X. fastidiosa by DASI-ELISA and Tissue print-ELISA. The diagnostic parameters of DAS-ELISA based on MAb were calculated and compared with the gold standard real-time PCR. The diagnostic specificity of MAb2G1/PPD was 100%, the diagnostic sensitivity was 88.5% compared to Harper’s real-time PCR and 89.9% compared to Francis’ real-time PCR. The agreement between the techniques was almost perfect according to the estimated Cohen’s kappa-index, even in symptomless almond trees. The developed immunological techniques represent sustainable and low-cost analysis tools, based on specific, homogeneous, and well-characterized MAbs, which can be obtained in unlimited quantities in a reproducible way and constitute a guarantee for the standardization of commercial kits. They are a valuable option within a polyphasic strategy for the detection of X. fastidiosa.
Item Type: | Article |
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Subjects: | Opene Prints > Agricultural and Food Science |
Depositing User: | Managing Editor |
Date Deposited: | 17 Feb 2023 07:39 |
Last Modified: | 17 May 2024 09:41 |
URI: | http://geographical.go2journals.com/id/eprint/949 |