{"id":298898,"date":"2021-07-14T19:51:50","date_gmt":"2021-07-14T16:51:50","guid":{"rendered":"https:\/\/en.buradabiliyorum.com\/a-new-sensitive-tool-for-the-efficient-quantification-of-plant-disease-susceptibility\/"},"modified":"2021-07-14T19:51:50","modified_gmt":"2021-07-14T16:51:50","slug":"a-new-sensitive-tool-for-the-efficient-quantification-of-plant-disease-susceptibility","status":"publish","type":"post","link":"https:\/\/buradabiliyorum.com\/en\/a-new-sensitive-tool-for-the-efficient-quantification-of-plant-disease-susceptibility\/","title":{"rendered":"#A new sensitive tool for the efficient quantification of plant disease susceptibility"},"content":{"rendered":"

“#A new sensitive tool for the efficient quantification of plant disease susceptibility<\/strong>”<\/p>\n

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While several biology techniques have undergone significant technical advances that have allowed their high-throughput implementation, assessing the resistance levels of plant varieties to microbial pathogens remains an arduous and time-consuming task. In response to this, Pujara and collaborators took advantage of the naturally occurring luminescence of a deep-sea shrimp to engineer a light-producing bacterial reporter that allows the quantification of plant resistance levels through imaging.<\/p>\n


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The Nanoluc luciferase (NL) from Oplophorus gracilirostris<\/i> is a small protein characterized by its high stability and strong brightness. The researchers exploited these features to produce a light emitting bacterial strain from the Pseudomonas syringae<\/i> species, a plant pathogen. Because plant pathogens reproduce at a higher pace in susceptible than resistant hosts, susceptible plants were expected to produce more light when infected with a controlled amount of the luminescent pathogen. By integrating this setup with an automated table with a camera that moves within and images plants, the researchers were able to simultaneously phenotype over 30 Arabidopsis thaliana<\/i> mutants. This novel quantification method was compared with conventional culture-based techniques, showing a high correlation between the outcomes of both app<\/a>roaches, indicating the robustness of the newly developed tool and the potential of this technology<\/a> for other uses and applications.<\/p>\n

“Our high throughput imaging-based resistance assay will provide plant pathologists and breeders a long-sought tool to screen an unprecedented number of plants to identify resistance traits that could fight a potential future pandemic,” explained Hong-Gu Kang, the researcher leading this project. “In addition, we are currently working on developing an artificial intelligence (AI) algorithm that will further expedite resistance analysis processes. Ultimately, we would like to conduct a project to assess all the genes in Arabidopsis<\/i> and other species for resistance,” he added.<\/p>\n\n

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Study reports novel role of enzyme in plant immunity and defense gene expression\n <\/p><\/div>\n

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\n More information:<\/strong>
\n Dinesh S. Pujara et al, Imaging-based resistance assay using enhanced luminescence-tagged Pseudomonas syringae reveals a complex epigenetic network in plant defense signaling pathways, Molecular Plant-Microbe Interactions<\/i> (2021). DOI: 10.1094\/MPMI-12-20-0351-TA<\/a><\/p><\/div>\n

Provided by
\n American Phytopathological Society<\/p>\n

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Citation<\/strong>:
\n A new sensitive tool for the efficient quantification of plant disease susceptibility (2021, July 14)
\n retrieved 14 July 2021
\n from https:\/\/phys.org\/news<\/a>\/2021-07-sensitive-tool-efficient-quantification-disease.html<\/p>\n

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