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Detection and Quantification of Stagonosporopsis cucurbitacearum in Seeds of Cucurbita maxima Using Droplet Digital Polymerase Chain Reaction
Stagonosporopsis cucurbitacearum is an important seedborne pathogen of squash (Cucurbita maxima). The aim of our work was to develop a rapid and sensitive diagnostic tool for detection and quantification of S. cucurbitacearum in squash seed samples, to be compared with blotter analysis, that is the...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8788924/ https://www.ncbi.nlm.nih.gov/pubmed/35087483 http://dx.doi.org/10.3389/fmicb.2021.764447 |
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author | Murolo, Sergio Moumni, Marwa Mancini, Valeria Allagui, Mohamed Bechir Landi, Lucia Romanazzi, Gianfranco |
author_facet | Murolo, Sergio Moumni, Marwa Mancini, Valeria Allagui, Mohamed Bechir Landi, Lucia Romanazzi, Gianfranco |
author_sort | Murolo, Sergio |
collection | PubMed |
description | Stagonosporopsis cucurbitacearum is an important seedborne pathogen of squash (Cucurbita maxima). The aim of our work was to develop a rapid and sensitive diagnostic tool for detection and quantification of S. cucurbitacearum in squash seed samples, to be compared with blotter analysis, that is the current official seed test. In blotter analysis, 29 of 31 seed samples were identified as infected, with contamination from 1.5 to 65.4%. A new set of primers (DB1F/R) was validated in silico and in conventional, quantitative real-time PCR (qPCR) and droplet digital (dd) PCR. The limit of detection of S. cucurbitacearum DNA for conventional PCR was ∼1.82 × 10(–2) ng, with 17 of 19 seed samples positive. The limit of detection for ddPCR was 3.6 × 10(–3) ng, which corresponded to 0.2 copies/μl. Detection carried out with artificial samples revealed no interference in the absolute quantification when the seed samples were diluted to 20 ng. All seed samples that showed S. cucurbitacearum contamination in the blotter analysis were highly correlated with the absolute quantification of S. cucurbitacearum DNA (copies/μl) in ddPCR (R(2) = 0.986; p ≤ 0.01). Our ddPCR protocol provided rapid detection and absolute quantification of S. cucurbitacearum, offering a useful support to the standard procedure. |
format | Online Article Text |
id | pubmed-8788924 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87889242022-01-26 Detection and Quantification of Stagonosporopsis cucurbitacearum in Seeds of Cucurbita maxima Using Droplet Digital Polymerase Chain Reaction Murolo, Sergio Moumni, Marwa Mancini, Valeria Allagui, Mohamed Bechir Landi, Lucia Romanazzi, Gianfranco Front Microbiol Microbiology Stagonosporopsis cucurbitacearum is an important seedborne pathogen of squash (Cucurbita maxima). The aim of our work was to develop a rapid and sensitive diagnostic tool for detection and quantification of S. cucurbitacearum in squash seed samples, to be compared with blotter analysis, that is the current official seed test. In blotter analysis, 29 of 31 seed samples were identified as infected, with contamination from 1.5 to 65.4%. A new set of primers (DB1F/R) was validated in silico and in conventional, quantitative real-time PCR (qPCR) and droplet digital (dd) PCR. The limit of detection of S. cucurbitacearum DNA for conventional PCR was ∼1.82 × 10(–2) ng, with 17 of 19 seed samples positive. The limit of detection for ddPCR was 3.6 × 10(–3) ng, which corresponded to 0.2 copies/μl. Detection carried out with artificial samples revealed no interference in the absolute quantification when the seed samples were diluted to 20 ng. All seed samples that showed S. cucurbitacearum contamination in the blotter analysis were highly correlated with the absolute quantification of S. cucurbitacearum DNA (copies/μl) in ddPCR (R(2) = 0.986; p ≤ 0.01). Our ddPCR protocol provided rapid detection and absolute quantification of S. cucurbitacearum, offering a useful support to the standard procedure. Frontiers Media S.A. 2022-01-11 /pmc/articles/PMC8788924/ /pubmed/35087483 http://dx.doi.org/10.3389/fmicb.2021.764447 Text en Copyright © 2022 Murolo, Moumni, Mancini, Allagui, Landi and Romanazzi. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Murolo, Sergio Moumni, Marwa Mancini, Valeria Allagui, Mohamed Bechir Landi, Lucia Romanazzi, Gianfranco Detection and Quantification of Stagonosporopsis cucurbitacearum in Seeds of Cucurbita maxima Using Droplet Digital Polymerase Chain Reaction |
title | Detection and Quantification of Stagonosporopsis cucurbitacearum in Seeds of Cucurbita maxima Using Droplet Digital Polymerase Chain Reaction |
title_full | Detection and Quantification of Stagonosporopsis cucurbitacearum in Seeds of Cucurbita maxima Using Droplet Digital Polymerase Chain Reaction |
title_fullStr | Detection and Quantification of Stagonosporopsis cucurbitacearum in Seeds of Cucurbita maxima Using Droplet Digital Polymerase Chain Reaction |
title_full_unstemmed | Detection and Quantification of Stagonosporopsis cucurbitacearum in Seeds of Cucurbita maxima Using Droplet Digital Polymerase Chain Reaction |
title_short | Detection and Quantification of Stagonosporopsis cucurbitacearum in Seeds of Cucurbita maxima Using Droplet Digital Polymerase Chain Reaction |
title_sort | detection and quantification of stagonosporopsis cucurbitacearum in seeds of cucurbita maxima using droplet digital polymerase chain reaction |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8788924/ https://www.ncbi.nlm.nih.gov/pubmed/35087483 http://dx.doi.org/10.3389/fmicb.2021.764447 |
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