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Biosensor Technologies for Early Detection and Quantification of Plant Pathogens

Plant pathogens are a major reason of reduced crop productivity and may lead to a shortage of food for both human and animal consumption. Although chemical control remains the main method to reduce foliar fungal disease incidence, frequent use can lead to loss of susceptibility in the fungal populat...

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Autores principales: Dyussembayev, Kazbek, Sambasivam, Prabhakaran, Bar, Ido, Brownlie, Jeremy C., Shiddiky, Muhammad J. A., Ford, Rebecca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8207201/
https://www.ncbi.nlm.nih.gov/pubmed/34150716
http://dx.doi.org/10.3389/fchem.2021.636245
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author Dyussembayev, Kazbek
Sambasivam, Prabhakaran
Bar, Ido
Brownlie, Jeremy C.
Shiddiky, Muhammad J. A.
Ford, Rebecca
author_facet Dyussembayev, Kazbek
Sambasivam, Prabhakaran
Bar, Ido
Brownlie, Jeremy C.
Shiddiky, Muhammad J. A.
Ford, Rebecca
author_sort Dyussembayev, Kazbek
collection PubMed
description Plant pathogens are a major reason of reduced crop productivity and may lead to a shortage of food for both human and animal consumption. Although chemical control remains the main method to reduce foliar fungal disease incidence, frequent use can lead to loss of susceptibility in the fungal population. Furthermore, over-spraying can cause environmental contamination and poses a heavy financial burden on growers. To prevent or control disease epidemics, it is important for growers to be able to detect causal pathogen accurately, sensitively, and rapidly, so that the best practice disease management strategies can be chosen and enacted. To reach this goal, many culture-dependent, biochemical, and molecular methods have been developed for plant pathogen detection. However, these methods lack accuracy, specificity, reliability, and rapidity, and they are generally not suitable for in-situ analysis. Accordingly, there is strong interest in developing biosensing systems for early and accurate pathogen detection. There is also great scope to translate innovative nanoparticle-based biosensor approaches developed initially for human disease diagnostics for early detection of plant disease-causing pathogens. In this review, we compare conventional methods used in plant disease diagnostics with new sensing technologies in particular with deeper focus on electrochemical and optical biosensors that may be applied for plant pathogen detection and management. In addition, we discuss challenges facing biosensors and new capability the technology provides to informing disease management strategies.
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spelling pubmed-82072012021-06-17 Biosensor Technologies for Early Detection and Quantification of Plant Pathogens Dyussembayev, Kazbek Sambasivam, Prabhakaran Bar, Ido Brownlie, Jeremy C. Shiddiky, Muhammad J. A. Ford, Rebecca Front Chem Chemistry Plant pathogens are a major reason of reduced crop productivity and may lead to a shortage of food for both human and animal consumption. Although chemical control remains the main method to reduce foliar fungal disease incidence, frequent use can lead to loss of susceptibility in the fungal population. Furthermore, over-spraying can cause environmental contamination and poses a heavy financial burden on growers. To prevent or control disease epidemics, it is important for growers to be able to detect causal pathogen accurately, sensitively, and rapidly, so that the best practice disease management strategies can be chosen and enacted. To reach this goal, many culture-dependent, biochemical, and molecular methods have been developed for plant pathogen detection. However, these methods lack accuracy, specificity, reliability, and rapidity, and they are generally not suitable for in-situ analysis. Accordingly, there is strong interest in developing biosensing systems for early and accurate pathogen detection. There is also great scope to translate innovative nanoparticle-based biosensor approaches developed initially for human disease diagnostics for early detection of plant disease-causing pathogens. In this review, we compare conventional methods used in plant disease diagnostics with new sensing technologies in particular with deeper focus on electrochemical and optical biosensors that may be applied for plant pathogen detection and management. In addition, we discuss challenges facing biosensors and new capability the technology provides to informing disease management strategies. Frontiers Media S.A. 2021-06-02 /pmc/articles/PMC8207201/ /pubmed/34150716 http://dx.doi.org/10.3389/fchem.2021.636245 Text en Copyright © 2021 Dyussembayev, Sambasivam, Bar, Brownlie, Shiddiky and Ford. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Chemistry
Dyussembayev, Kazbek
Sambasivam, Prabhakaran
Bar, Ido
Brownlie, Jeremy C.
Shiddiky, Muhammad J. A.
Ford, Rebecca
Biosensor Technologies for Early Detection and Quantification of Plant Pathogens
title Biosensor Technologies for Early Detection and Quantification of Plant Pathogens
title_full Biosensor Technologies for Early Detection and Quantification of Plant Pathogens
title_fullStr Biosensor Technologies for Early Detection and Quantification of Plant Pathogens
title_full_unstemmed Biosensor Technologies for Early Detection and Quantification of Plant Pathogens
title_short Biosensor Technologies for Early Detection and Quantification of Plant Pathogens
title_sort biosensor technologies for early detection and quantification of plant pathogens
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8207201/
https://www.ncbi.nlm.nih.gov/pubmed/34150716
http://dx.doi.org/10.3389/fchem.2021.636245
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