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Development of a Method for Detecting and Estimating Moniliophthora roreri Spore Loads Based on Spore Traps and qPCR
Frosty pod rot, caused by Moniliophthora roreri, is the most damaging disease of cacao in Latin America and, to better comprehend its epidemiology, we must understand its dissemination and proliferation. However, we do not know how M. roreri spores loads fluctuate in time and space due to the lack o...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9862605/ https://www.ncbi.nlm.nih.gov/pubmed/36675868 http://dx.doi.org/10.3390/jof9010047 |
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author | Jiménez-Zapata, Diana L. Quiroga-Pérez, Manuela Quiroz-Yepes, Manuela Marulanda-Tobón, Alejandro Álvarez, Javier C. Mosquera-López, Sandra |
author_facet | Jiménez-Zapata, Diana L. Quiroga-Pérez, Manuela Quiroz-Yepes, Manuela Marulanda-Tobón, Alejandro Álvarez, Javier C. Mosquera-López, Sandra |
author_sort | Jiménez-Zapata, Diana L. |
collection | PubMed |
description | Frosty pod rot, caused by Moniliophthora roreri, is the most damaging disease of cacao in Latin America and, to better comprehend its epidemiology, we must understand its dissemination and proliferation. However, we do not know how M. roreri spores loads fluctuate in time and space due to the lack of a reliable technique to quantify M. roreri spores in the fields. Therefore, we developed a method that relies on spore traps and qPCR to detect and quantify M. roreri spore loads. This study demonstrated that the qPCR protocol can detect down to 0.025 ng of M. roreri DNA and quantify between 0.006 ng and 60 ng. Moreover, it demonstrated that qPCR protocol can detect and quantify DNA extracted from spore suspension and spore traps containing at least 2.9 × 10(4) M. roreri spores. However, the variability of the estimates for spore samples was high. Finally, we described a spore-trap device designed to carry spore traps in the field. The qPCR protocol and spore-trap device here developed will help in the understanding of the M. roreri dissemination patterns since they can be used to assess the environmental loads of M. roreri spore in cacao fields. |
format | Online Article Text |
id | pubmed-9862605 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98626052023-01-22 Development of a Method for Detecting and Estimating Moniliophthora roreri Spore Loads Based on Spore Traps and qPCR Jiménez-Zapata, Diana L. Quiroga-Pérez, Manuela Quiroz-Yepes, Manuela Marulanda-Tobón, Alejandro Álvarez, Javier C. Mosquera-López, Sandra J Fungi (Basel) Article Frosty pod rot, caused by Moniliophthora roreri, is the most damaging disease of cacao in Latin America and, to better comprehend its epidemiology, we must understand its dissemination and proliferation. However, we do not know how M. roreri spores loads fluctuate in time and space due to the lack of a reliable technique to quantify M. roreri spores in the fields. Therefore, we developed a method that relies on spore traps and qPCR to detect and quantify M. roreri spore loads. This study demonstrated that the qPCR protocol can detect down to 0.025 ng of M. roreri DNA and quantify between 0.006 ng and 60 ng. Moreover, it demonstrated that qPCR protocol can detect and quantify DNA extracted from spore suspension and spore traps containing at least 2.9 × 10(4) M. roreri spores. However, the variability of the estimates for spore samples was high. Finally, we described a spore-trap device designed to carry spore traps in the field. The qPCR protocol and spore-trap device here developed will help in the understanding of the M. roreri dissemination patterns since they can be used to assess the environmental loads of M. roreri spore in cacao fields. MDPI 2022-12-28 /pmc/articles/PMC9862605/ /pubmed/36675868 http://dx.doi.org/10.3390/jof9010047 Text en © 2022 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 Jiménez-Zapata, Diana L. Quiroga-Pérez, Manuela Quiroz-Yepes, Manuela Marulanda-Tobón, Alejandro Álvarez, Javier C. Mosquera-López, Sandra Development of a Method for Detecting and Estimating Moniliophthora roreri Spore Loads Based on Spore Traps and qPCR |
title | Development of a Method for Detecting and Estimating Moniliophthora roreri Spore Loads Based on Spore Traps and qPCR |
title_full | Development of a Method for Detecting and Estimating Moniliophthora roreri Spore Loads Based on Spore Traps and qPCR |
title_fullStr | Development of a Method for Detecting and Estimating Moniliophthora roreri Spore Loads Based on Spore Traps and qPCR |
title_full_unstemmed | Development of a Method for Detecting and Estimating Moniliophthora roreri Spore Loads Based on Spore Traps and qPCR |
title_short | Development of a Method for Detecting and Estimating Moniliophthora roreri Spore Loads Based on Spore Traps and qPCR |
title_sort | development of a method for detecting and estimating moniliophthora roreri spore loads based on spore traps and qpcr |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9862605/ https://www.ncbi.nlm.nih.gov/pubmed/36675868 http://dx.doi.org/10.3390/jof9010047 |
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