Colletotrichum abscissum: Detection on symptomless citrus leaves and symptomatic citrus flowers using high-resolution melting analysis

Detalhes bibliográficos
Autor(a) principal: Gasparoto, Maria Cândida de Godoy [UNESP]
Data de Publicação: 2022
Outros Autores: Gama, Andre Bueno, Wang, Nan-Yi, Rebello, Carolina Suguinoshita, Dewdney, Megan M., Peres, Natalia A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/238461
Resumo: High-resolution melting (HRM) analysis has been recently applied for the diagnosis of plant diseases. This cost-effective method is advantageous over standard PCR as it does not require DNA band visualization or the use of probes necessary for quantitative PCR. Colletotrichum abscissum causes postbloom fruit drop of citrus (PFD) and survives asymptomatically on vegetative tissue. Quiescent appressoria on citrus leaves are the primary source of inoculum between flowering periods. Early PFD symptoms may be misidentified as physical damage on citrus flowers. Our objectives were to validate an HRM-based method to rapidly identify C. abscissum on citrus leaves and flowers. We screened seven previously published primer pairs and concluded that the most effective set of primers was CaITS-F and CaITS-R815. We evaluated three different DNA extraction methods, two with a purification step (DNeasy Plant Mini and PowerSoil kits) and a faster method without a purification step (buffer GEB2). We inoculated citrus leaves with C. abscissum conidial suspensions of varying concentrations and HRM detected as few as 200 C. abscissum spores using DNeasy Plant Mini or DNeasy PowerSoil kits for DNA extraction. As expected, samples extracted with GEB2 buffer reduced HRM sensitivity. We further collected field samples from areas with high and low C. abscissum inoculum levels. The HRM method could detect the pathogen in high inoculum areas from both leaves and flowers regardless of the extraction method used. In summary, we describe a new molecular diagnostic tool to detect C. abscissum on citrus during its asymptomatic and symptomatic stages.
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spelling Colletotrichum abscissum: Detection on symptomless citrus leaves and symptomatic citrus flowers using high-resolution melting analysisColletotrichum acutatumAppressoriaAsymptomatic detectionColletotrichum gloeosporioidesInoculum detectionHigh-resolution melting (HRM) analysis has been recently applied for the diagnosis of plant diseases. This cost-effective method is advantageous over standard PCR as it does not require DNA band visualization or the use of probes necessary for quantitative PCR. Colletotrichum abscissum causes postbloom fruit drop of citrus (PFD) and survives asymptomatically on vegetative tissue. Quiescent appressoria on citrus leaves are the primary source of inoculum between flowering periods. Early PFD symptoms may be misidentified as physical damage on citrus flowers. Our objectives were to validate an HRM-based method to rapidly identify C. abscissum on citrus leaves and flowers. We screened seven previously published primer pairs and concluded that the most effective set of primers was CaITS-F and CaITS-R815. We evaluated three different DNA extraction methods, two with a purification step (DNeasy Plant Mini and PowerSoil kits) and a faster method without a purification step (buffer GEB2). We inoculated citrus leaves with C. abscissum conidial suspensions of varying concentrations and HRM detected as few as 200 C. abscissum spores using DNeasy Plant Mini or DNeasy PowerSoil kits for DNA extraction. As expected, samples extracted with GEB2 buffer reduced HRM sensitivity. We further collected field samples from areas with high and low C. abscissum inoculum levels. The HRM method could detect the pathogen in high inoculum areas from both leaves and flowers regardless of the extraction method used. In summary, we describe a new molecular diagnostic tool to detect C. abscissum on citrus during its asymptomatic and symptomatic stages.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)PreprintUnesp - Campus de RegistroUniversity of Florida2019/02604-7WileyUniversidade Estadual Paulista (Unesp)Gasparoto, Maria Cândida de Godoy [UNESP]Gama, Andre BuenoWang, Nan-YiRebello, Carolina SuguinoshitaDewdney, Megan M.Peres, Natalia A.2022-12-22T19:46:08Z2022-12-22T19:46:08Z2022info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdf1365-3059http://hdl.handle.net/11449/23846110.1111/PPA.1368880483219655190760000-0001-5868-96700000-0002-0808-52940000-0001-5990-32020000-0001-7297-80300000-0003-1905-76160000-0001-5862-7963engPlant Pathologyinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESP2024-05-03T13:20:08Zoai:repositorio.unesp.br:11449/238461Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-05-03T13:20:08Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Colletotrichum abscissum: Detection on symptomless citrus leaves and symptomatic citrus flowers using high-resolution melting analysis
title Colletotrichum abscissum: Detection on symptomless citrus leaves and symptomatic citrus flowers using high-resolution melting analysis
spellingShingle Colletotrichum abscissum: Detection on symptomless citrus leaves and symptomatic citrus flowers using high-resolution melting analysis
Gasparoto, Maria Cândida de Godoy [UNESP]
Colletotrichum acutatum
Appressoria
Asymptomatic detection
Colletotrichum gloeosporioides
Inoculum detection
title_short Colletotrichum abscissum: Detection on symptomless citrus leaves and symptomatic citrus flowers using high-resolution melting analysis
title_full Colletotrichum abscissum: Detection on symptomless citrus leaves and symptomatic citrus flowers using high-resolution melting analysis
title_fullStr Colletotrichum abscissum: Detection on symptomless citrus leaves and symptomatic citrus flowers using high-resolution melting analysis
title_full_unstemmed Colletotrichum abscissum: Detection on symptomless citrus leaves and symptomatic citrus flowers using high-resolution melting analysis
title_sort Colletotrichum abscissum: Detection on symptomless citrus leaves and symptomatic citrus flowers using high-resolution melting analysis
author Gasparoto, Maria Cândida de Godoy [UNESP]
author_facet Gasparoto, Maria Cândida de Godoy [UNESP]
Gama, Andre Bueno
Wang, Nan-Yi
Rebello, Carolina Suguinoshita
Dewdney, Megan M.
Peres, Natalia A.
author_role author
author2 Gama, Andre Bueno
Wang, Nan-Yi
Rebello, Carolina Suguinoshita
Dewdney, Megan M.
Peres, Natalia A.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Gasparoto, Maria Cândida de Godoy [UNESP]
Gama, Andre Bueno
Wang, Nan-Yi
Rebello, Carolina Suguinoshita
Dewdney, Megan M.
Peres, Natalia A.
dc.subject.por.fl_str_mv Colletotrichum acutatum
Appressoria
Asymptomatic detection
Colletotrichum gloeosporioides
Inoculum detection
topic Colletotrichum acutatum
Appressoria
Asymptomatic detection
Colletotrichum gloeosporioides
Inoculum detection
description High-resolution melting (HRM) analysis has been recently applied for the diagnosis of plant diseases. This cost-effective method is advantageous over standard PCR as it does not require DNA band visualization or the use of probes necessary for quantitative PCR. Colletotrichum abscissum causes postbloom fruit drop of citrus (PFD) and survives asymptomatically on vegetative tissue. Quiescent appressoria on citrus leaves are the primary source of inoculum between flowering periods. Early PFD symptoms may be misidentified as physical damage on citrus flowers. Our objectives were to validate an HRM-based method to rapidly identify C. abscissum on citrus leaves and flowers. We screened seven previously published primer pairs and concluded that the most effective set of primers was CaITS-F and CaITS-R815. We evaluated three different DNA extraction methods, two with a purification step (DNeasy Plant Mini and PowerSoil kits) and a faster method without a purification step (buffer GEB2). We inoculated citrus leaves with C. abscissum conidial suspensions of varying concentrations and HRM detected as few as 200 C. abscissum spores using DNeasy Plant Mini or DNeasy PowerSoil kits for DNA extraction. As expected, samples extracted with GEB2 buffer reduced HRM sensitivity. We further collected field samples from areas with high and low C. abscissum inoculum levels. The HRM method could detect the pathogen in high inoculum areas from both leaves and flowers regardless of the extraction method used. In summary, we describe a new molecular diagnostic tool to detect C. abscissum on citrus during its asymptomatic and symptomatic stages.
publishDate 2022
dc.date.none.fl_str_mv 2022-12-22T19:46:08Z
2022-12-22T19:46:08Z
2022
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 1365-3059
http://hdl.handle.net/11449/238461
10.1111/PPA.13688
8048321965519076
0000-0001-5868-9670
0000-0002-0808-5294
0000-0001-5990-3202
0000-0001-7297-8030
0000-0003-1905-7616
0000-0001-5862-7963
identifier_str_mv 1365-3059
10.1111/PPA.13688
8048321965519076
0000-0001-5868-9670
0000-0002-0808-5294
0000-0001-5990-3202
0000-0001-7297-8030
0000-0003-1905-7616
0000-0001-5862-7963
url http://hdl.handle.net/11449/238461
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Plant Pathology
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv 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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