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The Use of Real-Time PCR for the Pathogen Quantification in Breeding Winter Wheat Varieties Resistant to Eyespot
The reaction of twenty-five winter wheat cultivars frequently grown in the Czech Republic to inoculation with Oculimacula yallundae and Oculimacula acuformis was evaluated in small plot trials from 2019 to 2021. The eyespot infection assessment was carried out visually using symptoms on stem bases a...
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/PMC9182646/ https://www.ncbi.nlm.nih.gov/pubmed/35684268 http://dx.doi.org/10.3390/plants11111495 |
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author | Palicová, Jana Matušinsky, Pavel Dumalasová, Veronika Hanzalová, Alena Svačinová, Ivana Chrpová, Jana |
author_facet | Palicová, Jana Matušinsky, Pavel Dumalasová, Veronika Hanzalová, Alena Svačinová, Ivana Chrpová, Jana |
author_sort | Palicová, Jana |
collection | PubMed |
description | The reaction of twenty-five winter wheat cultivars frequently grown in the Czech Republic to inoculation with Oculimacula yallundae and Oculimacula acuformis was evaluated in small plot trials from 2019 to 2021. The eyespot infection assessment was carried out visually using symptoms on stem bases and quantitative real-time polymerase chain reaction (qPCR). The cultivars were also tested for the presence of the resistance gene Pch1 using the STS marker Xorw1. Statistical differences were found between cultivars and between years. The lowest mean level of eyespot infection (2019–2021) was visually observed in cultivar Annie, which possessed resistance gene Pch1, and in cultivar Julie. Cultivars Turandot and RGT Sacramento were the most susceptible to eyespot. The method qPCR was able to distinguish two eyespot pathogens. O. yallundae was detected in higher concentrations in inoculated plants compared with O. acuformis. The relationship between the eyespot symptoms and the pathogen’s DNA content in plant tissues followed a moderate linear regression only in 2021. The highest eyespot infection rate was in 2020 due to weather conditions suitable for the development of the disease. |
format | Online Article Text |
id | pubmed-9182646 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91826462022-06-10 The Use of Real-Time PCR for the Pathogen Quantification in Breeding Winter Wheat Varieties Resistant to Eyespot Palicová, Jana Matušinsky, Pavel Dumalasová, Veronika Hanzalová, Alena Svačinová, Ivana Chrpová, Jana Plants (Basel) Communication The reaction of twenty-five winter wheat cultivars frequently grown in the Czech Republic to inoculation with Oculimacula yallundae and Oculimacula acuformis was evaluated in small plot trials from 2019 to 2021. The eyespot infection assessment was carried out visually using symptoms on stem bases and quantitative real-time polymerase chain reaction (qPCR). The cultivars were also tested for the presence of the resistance gene Pch1 using the STS marker Xorw1. Statistical differences were found between cultivars and between years. The lowest mean level of eyespot infection (2019–2021) was visually observed in cultivar Annie, which possessed resistance gene Pch1, and in cultivar Julie. Cultivars Turandot and RGT Sacramento were the most susceptible to eyespot. The method qPCR was able to distinguish two eyespot pathogens. O. yallundae was detected in higher concentrations in inoculated plants compared with O. acuformis. The relationship between the eyespot symptoms and the pathogen’s DNA content in plant tissues followed a moderate linear regression only in 2021. The highest eyespot infection rate was in 2020 due to weather conditions suitable for the development of the disease. MDPI 2022-06-02 /pmc/articles/PMC9182646/ /pubmed/35684268 http://dx.doi.org/10.3390/plants11111495 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 | Communication Palicová, Jana Matušinsky, Pavel Dumalasová, Veronika Hanzalová, Alena Svačinová, Ivana Chrpová, Jana The Use of Real-Time PCR for the Pathogen Quantification in Breeding Winter Wheat Varieties Resistant to Eyespot |
title | The Use of Real-Time PCR for the Pathogen Quantification in Breeding Winter Wheat Varieties Resistant to Eyespot |
title_full | The Use of Real-Time PCR for the Pathogen Quantification in Breeding Winter Wheat Varieties Resistant to Eyespot |
title_fullStr | The Use of Real-Time PCR for the Pathogen Quantification in Breeding Winter Wheat Varieties Resistant to Eyespot |
title_full_unstemmed | The Use of Real-Time PCR for the Pathogen Quantification in Breeding Winter Wheat Varieties Resistant to Eyespot |
title_short | The Use of Real-Time PCR for the Pathogen Quantification in Breeding Winter Wheat Varieties Resistant to Eyespot |
title_sort | use of real-time pcr for the pathogen quantification in breeding winter wheat varieties resistant to eyespot |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9182646/ https://www.ncbi.nlm.nih.gov/pubmed/35684268 http://dx.doi.org/10.3390/plants11111495 |
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