Aerobiology of the Wheat Blast Pathogen: Inoculum Monitoring and Detection of Fungicide Resistance Alleles
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/agronomy13051238 http://hdl.handle.net/11449/249999 |
Resumo: | Wheat blast, caused by the ascomycetous fungus Pyricularia oryzae Triticum lineage (PoTl), is mainly controlled by fungicide use, but resistance to the main fungicide groups—sterol demethylase (DMI), quinone outside (QoI), and succinate dehydrogenase inhibitors (SDHI)—has been reported in Brazil. In order to rationalize fungicide inputs (e.g., choice, timing, dose-rate, spray number, and mixing/alternation) for managing wheat blast, we describe a new monitoring tool, enabling the quantitative measurement of pathogen’s inoculum levels and detection of fungicide resistance alleles. Wheat blast airborne spores (aerosol populations) were monitored at Londrina in Paraná State, a major wheat cropping region in Brazil, using an automated high-volume cyclone coupled with a lab-based quantitative real-time PCR (qPCR) assay. The objectives of our study were as follows: (1) to monitor the amount of PoTl airborne conidia during 2019–2021 based on DNA detection, (2) to reveal the prevalence of QoI resistant (QoI-R) cytochrome b alleles in aerosol populations of wheat blast, and (3) to determine the impact of weather on the dynamics of wheat blast aerosol populations and spread of QoI resistant alleles. PoTl inoculum was consistently detected in aerosols during the wheat cropping seasons from 2019 to 2021, but amounts varied significantly between seasons, with highest amounts detected in 2019. High peaks of PoTl DNA were also continuously detected during the off-season in 2020 and 2021. The prevalence of QoI resistant (QoI-R) cytochrome b G143A alleles in aerosol populations was also determined for a subset of 10 PoTl positive DNA samples with frequencies varying between 10 and 91% using a combination of PCR-amplification and SNP detection pyrosequencing. Statistically significant but low correlations were found between the levels of pathogen and the weather variables. In conclusion, for wheat blast, this system provided prior detection of airborne spore levels of the pathogen and of the prevalence of fungicide resistance alleles. |
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Aerobiology of the Wheat Blast Pathogen: Inoculum Monitoring and Detection of Fungicide Resistance Allelesairborne sporesepidemic predictorsintegrated disease managementPyricularia oryzae Triticum lineageWheat blast, caused by the ascomycetous fungus Pyricularia oryzae Triticum lineage (PoTl), is mainly controlled by fungicide use, but resistance to the main fungicide groups—sterol demethylase (DMI), quinone outside (QoI), and succinate dehydrogenase inhibitors (SDHI)—has been reported in Brazil. In order to rationalize fungicide inputs (e.g., choice, timing, dose-rate, spray number, and mixing/alternation) for managing wheat blast, we describe a new monitoring tool, enabling the quantitative measurement of pathogen’s inoculum levels and detection of fungicide resistance alleles. Wheat blast airborne spores (aerosol populations) were monitored at Londrina in Paraná State, a major wheat cropping region in Brazil, using an automated high-volume cyclone coupled with a lab-based quantitative real-time PCR (qPCR) assay. The objectives of our study were as follows: (1) to monitor the amount of PoTl airborne conidia during 2019–2021 based on DNA detection, (2) to reveal the prevalence of QoI resistant (QoI-R) cytochrome b alleles in aerosol populations of wheat blast, and (3) to determine the impact of weather on the dynamics of wheat blast aerosol populations and spread of QoI resistant alleles. PoTl inoculum was consistently detected in aerosols during the wheat cropping seasons from 2019 to 2021, but amounts varied significantly between seasons, with highest amounts detected in 2019. High peaks of PoTl DNA were also continuously detected during the off-season in 2020 and 2021. The prevalence of QoI resistant (QoI-R) cytochrome b G143A alleles in aerosol populations was also determined for a subset of 10 PoTl positive DNA samples with frequencies varying between 10 and 91% using a combination of PCR-amplification and SNP detection pyrosequencing. Statistically significant but low correlations were found between the levels of pathogen and the weather variables. In conclusion, for wheat blast, this system provided prior detection of airborne spore levels of the pathogen and of the prevalence of fungicide resistance alleles.Rothamsted ResearchDepartment of Crop Protection Agricultural Engineering and Soil Sao Paulo State University UNESP, SPNational Institute of Agricultural Botany NIABProtecting Crops and Environment Rothamsted ResearchParaná Agricultural Development Institute IDR–Paraná/IAPAR, PRCarrera de Ingeniería Ambiental Facultad de Ciencias Agrarias Instituto de Investigación “Ing. Jacobo Bucaram Ortiz Ph.D” Universidad Agraria del Ecuador (UAE), Avenida 25 de Julio, GuayasCenter of Natural and Exact Sciences Department of Physics Federal University of Santa Maria (UFSM), Avenida Roraima 1000, RSLaboratory of Phytopathology Faculty of Agronomic Engineering Technical University of Manabí, Experimental Campus La TeodomiraBU Biointeractions & Plant Health Wageningen Plant Research Wageningen University & ResearchCenter of Natural Science Federal University of São Carlos UFScar, Lagoa do Sino Campus, SPDepartment of Crop Protection Agricultural Engineering and Soil Sao Paulo State University UNESP, SPUniversidade Estadual Paulista (UNESP)NIABRothamsted ResearchIDR–Paraná/IAPARUniversidad Agraria del Ecuador (UAE)Universidade Federal de Sergipe (UFS)Technical University of ManabíWageningen University & ResearchUniversidade Federal de São Carlos (UFSCar)Vicentini, Samara Nunes Campos [UNESP]Hawkins, Nichola J.King, Kevin M.Moreira, Silvino Intra [UNESP]de Paiva Custódio, Adriano AugustoLeite Júnior, Rui PereiraPortalanza, DiegoGarcés-Fiallos, Felipe RafaelKrug, Loane Dantas [UNESP]West, Jonathan S.Fraaije, Bart A.De Jesus Júnior, Waldir CintraCeresini, Paulo Cezar [UNESP]2023-07-29T16:15:04Z2023-07-29T16:15:04Z2023-05-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3390/agronomy13051238Agronomy, v. 13, n. 5, 2023.2073-4395http://hdl.handle.net/11449/24999910.3390/agronomy130512382-s2.0-85160433851Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengAgronomyinfo:eu-repo/semantics/openAccess2024-07-05T18:13:25Zoai:repositorio.unesp.br:11449/249999Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:21:47.184419Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Aerobiology of the Wheat Blast Pathogen: Inoculum Monitoring and Detection of Fungicide Resistance Alleles |
title |
Aerobiology of the Wheat Blast Pathogen: Inoculum Monitoring and Detection of Fungicide Resistance Alleles |
spellingShingle |
Aerobiology of the Wheat Blast Pathogen: Inoculum Monitoring and Detection of Fungicide Resistance Alleles Vicentini, Samara Nunes Campos [UNESP] airborne spores epidemic predictors integrated disease management Pyricularia oryzae Triticum lineage |
title_short |
Aerobiology of the Wheat Blast Pathogen: Inoculum Monitoring and Detection of Fungicide Resistance Alleles |
title_full |
Aerobiology of the Wheat Blast Pathogen: Inoculum Monitoring and Detection of Fungicide Resistance Alleles |
title_fullStr |
Aerobiology of the Wheat Blast Pathogen: Inoculum Monitoring and Detection of Fungicide Resistance Alleles |
title_full_unstemmed |
Aerobiology of the Wheat Blast Pathogen: Inoculum Monitoring and Detection of Fungicide Resistance Alleles |
title_sort |
Aerobiology of the Wheat Blast Pathogen: Inoculum Monitoring and Detection of Fungicide Resistance Alleles |
author |
Vicentini, Samara Nunes Campos [UNESP] |
author_facet |
Vicentini, Samara Nunes Campos [UNESP] Hawkins, Nichola J. King, Kevin M. Moreira, Silvino Intra [UNESP] de Paiva Custódio, Adriano Augusto Leite Júnior, Rui Pereira Portalanza, Diego Garcés-Fiallos, Felipe Rafael Krug, Loane Dantas [UNESP] West, Jonathan S. Fraaije, Bart A. De Jesus Júnior, Waldir Cintra Ceresini, Paulo Cezar [UNESP] |
author_role |
author |
author2 |
Hawkins, Nichola J. King, Kevin M. Moreira, Silvino Intra [UNESP] de Paiva Custódio, Adriano Augusto Leite Júnior, Rui Pereira Portalanza, Diego Garcés-Fiallos, Felipe Rafael Krug, Loane Dantas [UNESP] West, Jonathan S. Fraaije, Bart A. De Jesus Júnior, Waldir Cintra Ceresini, Paulo Cezar [UNESP] |
author2_role |
author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) NIAB Rothamsted Research IDR–Paraná/IAPAR Universidad Agraria del Ecuador (UAE) Universidade Federal de Sergipe (UFS) Technical University of Manabí Wageningen University & Research Universidade Federal de São Carlos (UFSCar) |
dc.contributor.author.fl_str_mv |
Vicentini, Samara Nunes Campos [UNESP] Hawkins, Nichola J. King, Kevin M. Moreira, Silvino Intra [UNESP] de Paiva Custódio, Adriano Augusto Leite Júnior, Rui Pereira Portalanza, Diego Garcés-Fiallos, Felipe Rafael Krug, Loane Dantas [UNESP] West, Jonathan S. Fraaije, Bart A. De Jesus Júnior, Waldir Cintra Ceresini, Paulo Cezar [UNESP] |
dc.subject.por.fl_str_mv |
airborne spores epidemic predictors integrated disease management Pyricularia oryzae Triticum lineage |
topic |
airborne spores epidemic predictors integrated disease management Pyricularia oryzae Triticum lineage |
description |
Wheat blast, caused by the ascomycetous fungus Pyricularia oryzae Triticum lineage (PoTl), is mainly controlled by fungicide use, but resistance to the main fungicide groups—sterol demethylase (DMI), quinone outside (QoI), and succinate dehydrogenase inhibitors (SDHI)—has been reported in Brazil. In order to rationalize fungicide inputs (e.g., choice, timing, dose-rate, spray number, and mixing/alternation) for managing wheat blast, we describe a new monitoring tool, enabling the quantitative measurement of pathogen’s inoculum levels and detection of fungicide resistance alleles. Wheat blast airborne spores (aerosol populations) were monitored at Londrina in Paraná State, a major wheat cropping region in Brazil, using an automated high-volume cyclone coupled with a lab-based quantitative real-time PCR (qPCR) assay. The objectives of our study were as follows: (1) to monitor the amount of PoTl airborne conidia during 2019–2021 based on DNA detection, (2) to reveal the prevalence of QoI resistant (QoI-R) cytochrome b alleles in aerosol populations of wheat blast, and (3) to determine the impact of weather on the dynamics of wheat blast aerosol populations and spread of QoI resistant alleles. PoTl inoculum was consistently detected in aerosols during the wheat cropping seasons from 2019 to 2021, but amounts varied significantly between seasons, with highest amounts detected in 2019. High peaks of PoTl DNA were also continuously detected during the off-season in 2020 and 2021. The prevalence of QoI resistant (QoI-R) cytochrome b G143A alleles in aerosol populations was also determined for a subset of 10 PoTl positive DNA samples with frequencies varying between 10 and 91% using a combination of PCR-amplification and SNP detection pyrosequencing. Statistically significant but low correlations were found between the levels of pathogen and the weather variables. In conclusion, for wheat blast, this system provided prior detection of airborne spore levels of the pathogen and of the prevalence of fungicide resistance alleles. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-07-29T16:15:04Z 2023-07-29T16:15:04Z 2023-05-01 |
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/agronomy13051238 Agronomy, v. 13, n. 5, 2023. 2073-4395 http://hdl.handle.net/11449/249999 10.3390/agronomy13051238 2-s2.0-85160433851 |
url |
http://dx.doi.org/10.3390/agronomy13051238 http://hdl.handle.net/11449/249999 |
identifier_str_mv |
Agronomy, v. 13, n. 5, 2023. 2073-4395 10.3390/agronomy13051238 2-s2.0-85160433851 |
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_ |
1808129059068051456 |