An Accurate, Affordable, and Precise Resazurin-Based Digital Imaging Colorimetric Assay for the Assessment of Fungicide Sensitivity Status of Fungal Populations

Detalhes bibliográficos
Autor(a) principal: Silva, Tatiane Carla [UNESP]
Data de Publicação: 2023
Outros Autores: Moreira, Silvino Intra [UNESP], Assis, Fabio Gomes [UNESP], Vicentini, Samara Nunes Campos [UNESP], Silva, Abimael Gomes [UNESP], Oliveira, Tamiris Yoshie Kitayama [UNESP], Christiano, Félix Sebastião [UNESP], Custódio, Adriano Augusto Paiva, Leite, Rui Pereira, Gasparoto, Maria Cândida Godoy [UNESP], de Jesus, Waldir Cintra, Ceresini, Paulo Cezar [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.3390/agronomy13020343
http://hdl.handle.net/11449/249710
Resumo: This study aimed at the development and validation of an accurate, more affordable, and precise digital imaging resazurin-based fungicide sensitivity colorimetric assay (COL-assay) for fungal plant pathogens from the genera Mycosphaerella and Pyricularia. This proposed digital imaging assay was based on colorimetric estimates of resazurin reduction, which was used as a metabolic indicator of fungal respiration activity on microplate cultures. As fungal model systems, we used the yellow and black Sigatoka pathogens [Mycosphaerella musicola (Mm) and M. fijiensis (Mf), respectively] and the wheat blast pathogen, Pyricularia oryzae Triticum lineage (PoTl), which were previously characterized for QoI, DMI, and SDHI fungicide sensitivity. We then compared the classical spectrophotometry detection assay (SPEC-assay) with the proposed COL-assay based on the analyses of digital images of the microplates’ cultures captured with mobile phone cameras on a handmade trans-illuminator built for poorly equipped labs. Qualitatively, in terms of accuracy, there was full correspondence between the SPEC-assay and the COL-assay according to the fungal EC50 or the relative growth classes on QoI, SDHI, and DMI fungicides for both Mycosphaerella and Pyricularia pathogens. We also observed a strong to very strong correlation coefficient between the COL-assay and the SPEC-assay fungicide sensitivity values for the QoI azoxystrobin, the SDHI fluxapyroxad, and the DMI tebuconazole. Our conclusion was that the COL-assay had a similar accuracy as the SPEC-assay (i.e., resulted in similar fungicide-sensitivity categories for both resistant or sensitive fungal isolates) and high precision. By openly sharing here the COL-assay’s full methodology, and the blueprints of the handmade trans-illuminator, we foresee its adoption by poorly equipped labs throughout the country as an affordable venue for monitoring the fungicide resistance status of populations of important fungal plant pathogens such as M. fijiensis, M. musicola, and P. oryzae Triticum and Oryza lineages.
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spelling An Accurate, Affordable, and Precise Resazurin-Based Digital Imaging Colorimetric Assay for the Assessment of Fungicide Sensitivity Status of Fungal Populationsanti-microbial resistance phenotypingDMIfungal foliar pathogensfungicide resistancehigh-risk fungicideslimiting fungicide spraysQoISDHIsmart anti-resistance strategiessurveillance-based spraying decisionThis study aimed at the development and validation of an accurate, more affordable, and precise digital imaging resazurin-based fungicide sensitivity colorimetric assay (COL-assay) for fungal plant pathogens from the genera Mycosphaerella and Pyricularia. This proposed digital imaging assay was based on colorimetric estimates of resazurin reduction, which was used as a metabolic indicator of fungal respiration activity on microplate cultures. As fungal model systems, we used the yellow and black Sigatoka pathogens [Mycosphaerella musicola (Mm) and M. fijiensis (Mf), respectively] and the wheat blast pathogen, Pyricularia oryzae Triticum lineage (PoTl), which were previously characterized for QoI, DMI, and SDHI fungicide sensitivity. We then compared the classical spectrophotometry detection assay (SPEC-assay) with the proposed COL-assay based on the analyses of digital images of the microplates’ cultures captured with mobile phone cameras on a handmade trans-illuminator built for poorly equipped labs. Qualitatively, in terms of accuracy, there was full correspondence between the SPEC-assay and the COL-assay according to the fungal EC50 or the relative growth classes on QoI, SDHI, and DMI fungicides for both Mycosphaerella and Pyricularia pathogens. We also observed a strong to very strong correlation coefficient between the COL-assay and the SPEC-assay fungicide sensitivity values for the QoI azoxystrobin, the SDHI fluxapyroxad, and the DMI tebuconazole. Our conclusion was that the COL-assay had a similar accuracy as the SPEC-assay (i.e., resulted in similar fungicide-sensitivity categories for both resistant or sensitive fungal isolates) and high precision. By openly sharing here the COL-assay’s full methodology, and the blueprints of the handmade trans-illuminator, we foresee its adoption by poorly equipped labs throughout the country as an affordable venue for monitoring the fungicide resistance status of populations of important fungal plant pathogens such as M. fijiensis, M. musicola, and P. oryzae Triticum and Oryza lineages.Biotechnology and Biological Sciences Research CouncilDepartment of Crop Protection Agricultural Engineering and Soil São Paulo State University—UNESP, SPDepartment of Plant Pathology Federal University of Lavras—UFLA, MGParaná Rural Development Institute IDR—Paraná/IAPAR, PRCollege of Agricultural Sciences from Ribeira Valley São Paulo State University—UNESP, SPNatural Science Center (CCN) Federal University of São Carlos (UFSCar), Campus Lagoa do Sino, SPDepartment of Crop Protection Agricultural Engineering and Soil São Paulo State University—UNESP, SPCollege of Agricultural Sciences from Ribeira Valley São Paulo State University—UNESP, SPBiotechnology and Biological Sciences Research Council: BB/S018867/2Universidade Estadual Paulista (UNESP)Universidade Federal de Lavras (UFLA)IDR—Paraná/IAPARUniversidade Federal de São Carlos (UFSCar)Silva, Tatiane Carla [UNESP]Moreira, Silvino Intra [UNESP]Assis, Fabio Gomes [UNESP]Vicentini, Samara Nunes Campos [UNESP]Silva, Abimael Gomes [UNESP]Oliveira, Tamiris Yoshie Kitayama [UNESP]Christiano, Félix Sebastião [UNESP]Custódio, Adriano Augusto PaivaLeite, Rui PereiraGasparoto, Maria Cândida Godoy [UNESP]de Jesus, Waldir CintraCeresini, Paulo Cezar [UNESP]2023-07-29T16:07:10Z2023-07-29T16:07:10Z2023-02-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3390/agronomy13020343Agronomy, v. 13, n. 2, 2023.2073-4395http://hdl.handle.net/11449/24971010.3390/agronomy130203432-s2.0-85149121174Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengAgronomyinfo:eu-repo/semantics/openAccess2024-07-05T18:12:32Zoai:repositorio.unesp.br:11449/249710Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T13:50:17.205558Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv An Accurate, Affordable, and Precise Resazurin-Based Digital Imaging Colorimetric Assay for the Assessment of Fungicide Sensitivity Status of Fungal Populations
title An Accurate, Affordable, and Precise Resazurin-Based Digital Imaging Colorimetric Assay for the Assessment of Fungicide Sensitivity Status of Fungal Populations
spellingShingle An Accurate, Affordable, and Precise Resazurin-Based Digital Imaging Colorimetric Assay for the Assessment of Fungicide Sensitivity Status of Fungal Populations
Silva, Tatiane Carla [UNESP]
anti-microbial resistance phenotyping
DMI
fungal foliar pathogens
fungicide resistance
high-risk fungicides
limiting fungicide sprays
QoI
SDHI
smart anti-resistance strategies
surveillance-based spraying decision
title_short An Accurate, Affordable, and Precise Resazurin-Based Digital Imaging Colorimetric Assay for the Assessment of Fungicide Sensitivity Status of Fungal Populations
title_full An Accurate, Affordable, and Precise Resazurin-Based Digital Imaging Colorimetric Assay for the Assessment of Fungicide Sensitivity Status of Fungal Populations
title_fullStr An Accurate, Affordable, and Precise Resazurin-Based Digital Imaging Colorimetric Assay for the Assessment of Fungicide Sensitivity Status of Fungal Populations
title_full_unstemmed An Accurate, Affordable, and Precise Resazurin-Based Digital Imaging Colorimetric Assay for the Assessment of Fungicide Sensitivity Status of Fungal Populations
title_sort An Accurate, Affordable, and Precise Resazurin-Based Digital Imaging Colorimetric Assay for the Assessment of Fungicide Sensitivity Status of Fungal Populations
author Silva, Tatiane Carla [UNESP]
author_facet Silva, Tatiane Carla [UNESP]
Moreira, Silvino Intra [UNESP]
Assis, Fabio Gomes [UNESP]
Vicentini, Samara Nunes Campos [UNESP]
Silva, Abimael Gomes [UNESP]
Oliveira, Tamiris Yoshie Kitayama [UNESP]
Christiano, Félix Sebastião [UNESP]
Custódio, Adriano Augusto Paiva
Leite, Rui Pereira
Gasparoto, Maria Cândida Godoy [UNESP]
de Jesus, Waldir Cintra
Ceresini, Paulo Cezar [UNESP]
author_role author
author2 Moreira, Silvino Intra [UNESP]
Assis, Fabio Gomes [UNESP]
Vicentini, Samara Nunes Campos [UNESP]
Silva, Abimael Gomes [UNESP]
Oliveira, Tamiris Yoshie Kitayama [UNESP]
Christiano, Félix Sebastião [UNESP]
Custódio, Adriano Augusto Paiva
Leite, Rui Pereira
Gasparoto, Maria Cândida Godoy [UNESP]
de Jesus, Waldir Cintra
Ceresini, Paulo Cezar [UNESP]
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Universidade Federal de Lavras (UFLA)
IDR—Paraná/IAPAR
Universidade Federal de São Carlos (UFSCar)
dc.contributor.author.fl_str_mv Silva, Tatiane Carla [UNESP]
Moreira, Silvino Intra [UNESP]
Assis, Fabio Gomes [UNESP]
Vicentini, Samara Nunes Campos [UNESP]
Silva, Abimael Gomes [UNESP]
Oliveira, Tamiris Yoshie Kitayama [UNESP]
Christiano, Félix Sebastião [UNESP]
Custódio, Adriano Augusto Paiva
Leite, Rui Pereira
Gasparoto, Maria Cândida Godoy [UNESP]
de Jesus, Waldir Cintra
Ceresini, Paulo Cezar [UNESP]
dc.subject.por.fl_str_mv anti-microbial resistance phenotyping
DMI
fungal foliar pathogens
fungicide resistance
high-risk fungicides
limiting fungicide sprays
QoI
SDHI
smart anti-resistance strategies
surveillance-based spraying decision
topic anti-microbial resistance phenotyping
DMI
fungal foliar pathogens
fungicide resistance
high-risk fungicides
limiting fungicide sprays
QoI
SDHI
smart anti-resistance strategies
surveillance-based spraying decision
description This study aimed at the development and validation of an accurate, more affordable, and precise digital imaging resazurin-based fungicide sensitivity colorimetric assay (COL-assay) for fungal plant pathogens from the genera Mycosphaerella and Pyricularia. This proposed digital imaging assay was based on colorimetric estimates of resazurin reduction, which was used as a metabolic indicator of fungal respiration activity on microplate cultures. As fungal model systems, we used the yellow and black Sigatoka pathogens [Mycosphaerella musicola (Mm) and M. fijiensis (Mf), respectively] and the wheat blast pathogen, Pyricularia oryzae Triticum lineage (PoTl), which were previously characterized for QoI, DMI, and SDHI fungicide sensitivity. We then compared the classical spectrophotometry detection assay (SPEC-assay) with the proposed COL-assay based on the analyses of digital images of the microplates’ cultures captured with mobile phone cameras on a handmade trans-illuminator built for poorly equipped labs. Qualitatively, in terms of accuracy, there was full correspondence between the SPEC-assay and the COL-assay according to the fungal EC50 or the relative growth classes on QoI, SDHI, and DMI fungicides for both Mycosphaerella and Pyricularia pathogens. We also observed a strong to very strong correlation coefficient between the COL-assay and the SPEC-assay fungicide sensitivity values for the QoI azoxystrobin, the SDHI fluxapyroxad, and the DMI tebuconazole. Our conclusion was that the COL-assay had a similar accuracy as the SPEC-assay (i.e., resulted in similar fungicide-sensitivity categories for both resistant or sensitive fungal isolates) and high precision. By openly sharing here the COL-assay’s full methodology, and the blueprints of the handmade trans-illuminator, we foresee its adoption by poorly equipped labs throughout the country as an affordable venue for monitoring the fungicide resistance status of populations of important fungal plant pathogens such as M. fijiensis, M. musicola, and P. oryzae Triticum and Oryza lineages.
publishDate 2023
dc.date.none.fl_str_mv 2023-07-29T16:07:10Z
2023-07-29T16:07:10Z
2023-02-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.3390/agronomy13020343
Agronomy, v. 13, n. 2, 2023.
2073-4395
http://hdl.handle.net/11449/249710
10.3390/agronomy13020343
2-s2.0-85149121174
url http://dx.doi.org/10.3390/agronomy13020343
http://hdl.handle.net/11449/249710
identifier_str_mv Agronomy, v. 13, n. 2, 2023.
2073-4395
10.3390/agronomy13020343
2-s2.0-85149121174
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Agronomy
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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