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A TaqMan(®) Assay Allows an Accurate Detection and Quantification of Fusarium spp., the Causal Agents of Tomato Wilt and Rot Diseases

SIMPLE SUMMARY: In tomato plants, Fusarium spp. have been increasingly associated with several wilt and rot diseases that are responsible for severe yield losses. In this context, a molecular-based tool was developed to increase the accuracy of detection and quantification of Fusarium spp. genomic D...

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Autores principales: Campos, Maria Doroteia, Varanda, Carla, Patanita, Mariana, Amaro Ribeiro, Joana, Campos, Catarina, Materatski, Patrick, Albuquerque, André, Félix, Maria do Rosário
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9953614/
https://www.ncbi.nlm.nih.gov/pubmed/36829545
http://dx.doi.org/10.3390/biology12020268
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author Campos, Maria Doroteia
Varanda, Carla
Patanita, Mariana
Amaro Ribeiro, Joana
Campos, Catarina
Materatski, Patrick
Albuquerque, André
Félix, Maria do Rosário
author_facet Campos, Maria Doroteia
Varanda, Carla
Patanita, Mariana
Amaro Ribeiro, Joana
Campos, Catarina
Materatski, Patrick
Albuquerque, André
Félix, Maria do Rosário
author_sort Campos, Maria Doroteia
collection PubMed
description SIMPLE SUMMARY: In tomato plants, Fusarium spp. have been increasingly associated with several wilt and rot diseases that are responsible for severe yield losses. In this context, a molecular-based tool was developed to increase the accuracy of detection and quantification of Fusarium spp. genomic DNA (gDNA) in tomato plants and to discriminate Fusarium spp. from other fungal species that affect tomato. This assay revealed to be highly specific and sensitive for Fusarium species. The used methodology also allowed the establishment of an absolute DNA quantification method. Finally, the effectiveness of the assay was successfully validated with the detection and quantification of Fusarium spp. in potentially infected tomato plants from an experimental field and in control plants grown under controlled conditions. The established methodology allows a reliable, sensitive, and reproducible estimation of Fusarium accumulation in infected tomato plants, gaining new insights for disease control and providing an additional tool in the screening of resistant plants. ABSTRACT: In tomato plants, Fusarium spp. have been increasingly associated with several wilt and rot diseases that are responsible for severe yield losses. Here, we present a real-time PCR TaqMan(®) MGB (Minor Groove Binder) assay to detect and discriminate Fusarium spp. from other fungal species that affect tomato plants. The methodology used is based on the selective amplification of the internal transcribed spacer (ITS) region of Fusarium spp. This assay revealed to be highly specific and sensitive for Fusarium species, targeting only the 29 Fusarium isolates from the 45 tested isolates associated to tomato diseases. Sensitivity was assessed with serial dilutions of Fusarium genomic DNA, with the limit of detection of 3.05 pg. An absolute DNA quantification method was also established, based on the determination of the absolute number of target copies. Finally, the effectiveness of the assay was successfully validated with the detection and quantification of Fusarium spp. in potentially infected tomato plants from an experimental field and in control plants grown under controlled conditions. The established methodology allows a reliable, sensitive, and reproducible estimation of Fusarium accumulation in infected tomato plants, gaining new insights for disease control and providing an additional tool in the screening of resistant plants.
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spelling pubmed-99536142023-02-25 A TaqMan(®) Assay Allows an Accurate Detection and Quantification of Fusarium spp., the Causal Agents of Tomato Wilt and Rot Diseases Campos, Maria Doroteia Varanda, Carla Patanita, Mariana Amaro Ribeiro, Joana Campos, Catarina Materatski, Patrick Albuquerque, André Félix, Maria do Rosário Biology (Basel) Article SIMPLE SUMMARY: In tomato plants, Fusarium spp. have been increasingly associated with several wilt and rot diseases that are responsible for severe yield losses. In this context, a molecular-based tool was developed to increase the accuracy of detection and quantification of Fusarium spp. genomic DNA (gDNA) in tomato plants and to discriminate Fusarium spp. from other fungal species that affect tomato. This assay revealed to be highly specific and sensitive for Fusarium species. The used methodology also allowed the establishment of an absolute DNA quantification method. Finally, the effectiveness of the assay was successfully validated with the detection and quantification of Fusarium spp. in potentially infected tomato plants from an experimental field and in control plants grown under controlled conditions. The established methodology allows a reliable, sensitive, and reproducible estimation of Fusarium accumulation in infected tomato plants, gaining new insights for disease control and providing an additional tool in the screening of resistant plants. ABSTRACT: In tomato plants, Fusarium spp. have been increasingly associated with several wilt and rot diseases that are responsible for severe yield losses. Here, we present a real-time PCR TaqMan(®) MGB (Minor Groove Binder) assay to detect and discriminate Fusarium spp. from other fungal species that affect tomato plants. The methodology used is based on the selective amplification of the internal transcribed spacer (ITS) region of Fusarium spp. This assay revealed to be highly specific and sensitive for Fusarium species, targeting only the 29 Fusarium isolates from the 45 tested isolates associated to tomato diseases. Sensitivity was assessed with serial dilutions of Fusarium genomic DNA, with the limit of detection of 3.05 pg. An absolute DNA quantification method was also established, based on the determination of the absolute number of target copies. Finally, the effectiveness of the assay was successfully validated with the detection and quantification of Fusarium spp. in potentially infected tomato plants from an experimental field and in control plants grown under controlled conditions. The established methodology allows a reliable, sensitive, and reproducible estimation of Fusarium accumulation in infected tomato plants, gaining new insights for disease control and providing an additional tool in the screening of resistant plants. MDPI 2023-02-08 /pmc/articles/PMC9953614/ /pubmed/36829545 http://dx.doi.org/10.3390/biology12020268 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Campos, Maria Doroteia
Varanda, Carla
Patanita, Mariana
Amaro Ribeiro, Joana
Campos, Catarina
Materatski, Patrick
Albuquerque, André
Félix, Maria do Rosário
A TaqMan(®) Assay Allows an Accurate Detection and Quantification of Fusarium spp., the Causal Agents of Tomato Wilt and Rot Diseases
title A TaqMan(®) Assay Allows an Accurate Detection and Quantification of Fusarium spp., the Causal Agents of Tomato Wilt and Rot Diseases
title_full A TaqMan(®) Assay Allows an Accurate Detection and Quantification of Fusarium spp., the Causal Agents of Tomato Wilt and Rot Diseases
title_fullStr A TaqMan(®) Assay Allows an Accurate Detection and Quantification of Fusarium spp., the Causal Agents of Tomato Wilt and Rot Diseases
title_full_unstemmed A TaqMan(®) Assay Allows an Accurate Detection and Quantification of Fusarium spp., the Causal Agents of Tomato Wilt and Rot Diseases
title_short A TaqMan(®) Assay Allows an Accurate Detection and Quantification of Fusarium spp., the Causal Agents of Tomato Wilt and Rot Diseases
title_sort taqman(®) assay allows an accurate detection and quantification of fusarium spp., the causal agents of tomato wilt and rot diseases
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9953614/
https://www.ncbi.nlm.nih.gov/pubmed/36829545
http://dx.doi.org/10.3390/biology12020268
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