An Accurate, Affordable, and Precise Resazurin-Based Digital Imaging Colorimetric Assay for the Assessment of Fungicide Sensitivity Status of Fungal Populations
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , , , , , , , |
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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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 |
|
_version_ |
1808128281728253952 |