Sandwich Enzyme-Linked Immunosorbent Assay for Quantification of Callose.

Methods Protoc

Department of Plant Sciences, Microbiology and Biotechnology, College of Natural Sciences, Makerere University, Kampala P.O. Box 7062, Uganda.

Published: June 2022

AI Article Synopsis

  • Existing callose quantification methods, such as epifluorescence microscopy and immuno-fluorescence, can often be complex, time-consuming, and lacking specificity.
  • The study introduces a new method called Sandwich Enzyme-Linked Immunosorbent Assay (S-ELISA) for quantifying callose levels in banana plant tissues after bacterial inoculation.
  • This S-ELISA method is efficient, specific to callose, reproducible, and suitable for high-throughput studies, making it a promising alternative to traditional methods.

Article Abstract

The existing methods of callose quantification include epifluorescence microscopy and fluorescence spectrophotometry of aniline blue-stained callose particles, immuno-fluorescence microscopy and indirect assessment of both callose synthase and β-(1,3)-glucanase enzyme activities. Some of these methods are laborious, time consuming, not callose-specific, biased and require high technical skills. Here, we describe a method of callose quantification based on Sandwich Enzyme-Linked Immunosorbent Assay (S-ELISA). Tissue culture-derived banana plantlets were inoculated with pv. () bacteria as a biotic stress factor inducing callose production. Banana leaf, pseudostem and corm tissue samples were collected at 14 days post-inoculation (dpi) for callose quantification. Callose levels were significantly different in banana tissues of -inoculated and control groups except in the pseudostems of both banana genotypes. The method described here could be applied for the quantification of callose in different plant species with satisfactory level of specificity to callose, and reproducibility. Additionally, the use of 96-well plate makes this method suitable for high throughput callose quantification studies with minimal sampling and analysis biases. We provide step-by-step detailed descriptions of the method.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9326611PMC
http://dx.doi.org/10.3390/mps5040054DOI Listing

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