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

Página do item simplificado
dc.contributor.authorSilva, Tatiane Carla [UNESP]
dc.contributor.authorMoreira, Silvino Intra [UNESP]
dc.contributor.authorAssis, Fabio Gomes [UNESP]
dc.contributor.authorVicentini, Samara Nunes Campos [UNESP]
dc.contributor.authorSilva, Abimael Gomes [UNESP]
dc.contributor.authorOliveira, Tamiris Yoshie Kitayama [UNESP]
dc.contributor.authorChristiano, Félix Sebastião [UNESP]
dc.contributor.authorCustódio, Adriano Augusto Paiva
dc.contributor.authorLeite, Rui Pereira
dc.contributor.authorGasparoto, Maria Cândida Godoy [UNESP]
dc.contributor.authorde Jesus, Waldir Cintra
dc.contributor.authorCeresini, Paulo Cezar [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidade Federal de Lavras (UFLA)
dc.contributor.institutionIDR—Paraná/IAPAR
dc.contributor.institutionUniversidade Federal de São Carlos (UFSCar)
dc.date.accessioned2023-07-29T16:07:10Z
dc.date.available2023-07-29T16:07:10Z
dc.date.issued2023-02-01
dc.description.abstractThis 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.en
dc.description.affiliationDepartment of Crop Protection Agricultural Engineering and Soil São Paulo State University—UNESP, SP
dc.description.affiliationDepartment of Plant Pathology Federal University of Lavras—UFLA, MG
dc.description.affiliationParaná Rural Development Institute IDR—Paraná/IAPAR, PR
dc.description.affiliationCollege of Agricultural Sciences from Ribeira Valley São Paulo State University—UNESP, SP
dc.description.affiliationNatural Science Center (CCN) Federal University of São Carlos (UFSCar), Campus Lagoa do Sino, SP
dc.description.affiliationUnespDepartment of Crop Protection Agricultural Engineering and Soil São Paulo State University—UNESP, SP
dc.description.affiliationUnespCollege of Agricultural Sciences from Ribeira Valley São Paulo State University—UNESP, SP
dc.description.sponsorshipBiotechnology and Biological Sciences Research Council
dc.description.sponsorshipIdBiotechnology and Biological Sciences Research Council: BB/S018867/2
dc.identifierhttp://dx.doi.org/10.3390/agronomy13020343
dc.identifier.citationAgronomy, v. 13, n. 2, 2023.
dc.identifier.doi10.3390/agronomy13020343
dc.identifier.issn2073-4395
dc.identifier.scopus2-s2.0-85149121174
dc.identifier.urihttp://hdl.handle.net/11449/249710
dc.language.isoeng
dc.relation.ispartofAgronomy
dc.sourceScopus
dc.subjectanti-microbial resistance phenotyping
dc.subjectDMI
dc.subjectfungal foliar pathogens
dc.subjectfungicide resistance
dc.subjecthigh-risk fungicides
dc.subjectlimiting fungicide sprays
dc.subjectQoI
dc.subjectSDHI
dc.subjectsmart anti-resistance strategies
dc.subjectsurveillance-based spraying decision
dc.titleAn Accurate, Affordable, and Precise Resazurin-Based Digital Imaging Colorimetric Assay for the Assessment of Fungicide Sensitivity Status of Fungal Populationsen
dc.typeArtigo
unesp.author.orcid0000-0003-4693-8806[2]
unesp.author.orcid0000-0001-7146-9226[5]
unesp.author.orcid0000-0002-1932-8060[8]
unesp.author.orcid0000-0001-5868-9670[10]
unesp.author.orcid0000-0003-2381-2792[12]
unesp.departmentFitossanidade, Engenharia Rural e Solos - FEISpt

Arquivos

Coleções

Ilha Solteira - FEIS - Faculdade de Engenharia