Early detection of sugar beet pathogen Ramularia beticola in leaf and air samples using qPCR

Research output: Contribution to journalJournal articleResearchpeer-review

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Early detection of sugar beet pathogen Ramularia beticola in leaf and air samples using qPCR. / Wieczorek, Thies Marten; Jørgensen, Lise Nistrup; Hansen, Anne Lisbet; Munk, Lisa; Justesen, Annemarie Fejer.

In: European Journal of Plant Pathology, Vol. 138, No. 4, 2014, p. 775-785.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Wieczorek, TM, Jørgensen, LN, Hansen, AL, Munk, L & Justesen, AF 2014, 'Early detection of sugar beet pathogen Ramularia beticola in leaf and air samples using qPCR', European Journal of Plant Pathology, vol. 138, no. 4, pp. 775-785. https://doi.org/10.1007/s10658-013-0349-6

APA

Wieczorek, T. M., Jørgensen, L. N., Hansen, A. L., Munk, L., & Justesen, A. F. (2014). Early detection of sugar beet pathogen Ramularia beticola in leaf and air samples using qPCR. European Journal of Plant Pathology, 138(4), 775-785. https://doi.org/10.1007/s10658-013-0349-6

Vancouver

Wieczorek TM, Jørgensen LN, Hansen AL, Munk L, Justesen AF. Early detection of sugar beet pathogen Ramularia beticola in leaf and air samples using qPCR. European Journal of Plant Pathology. 2014;138(4):775-785. https://doi.org/10.1007/s10658-013-0349-6

Author

Wieczorek, Thies Marten ; Jørgensen, Lise Nistrup ; Hansen, Anne Lisbet ; Munk, Lisa ; Justesen, Annemarie Fejer. / Early detection of sugar beet pathogen Ramularia beticola in leaf and air samples using qPCR. In: European Journal of Plant Pathology. 2014 ; Vol. 138, No. 4. pp. 775-785.

Bibtex

@article{2a2dc7d861604e439becf19e3914a97f,
title = "Early detection of sugar beet pathogen Ramularia beticola in leaf and air samples using qPCR",
abstract = "A quantitative PCR method (qPCR) was developed for the detection and quantification of Ramularia beticola causing Ramularia leaf spot in sugar beet. R. beticola specific primers were designed based on the internal transcribed spacer region 2 (ITS2). The assay was applied on DNA extracted from spores trapped on tape from Burkard spore traps placed in an artificially inoculated sugar beet field trial and in two sugar beet fields with natural infections. R. beticola DNA was detected at variable amounts in the air samples 14 to 16 days prior to first visible symptoms. R. beticola DNA was detected in air samples from fields with natural infection at significant and increasing levels from development of the first symptoms, indicating that spore production within the crop plays a major role in the epidemic development of the disease. Sugar beet leaves sampled from the inoculated field trial were also tested with the qPCR assay. It was possible to detect the presence of R. beticola in the leaves pre-symptomatic at least 10 days before the occurrence of the visible symptoms of Ramularia leaf spot. This is the first report of a molecular assay, which allows screening for the presence of R. beticola in plant material and in air samples prior to the appearance of visible symptoms. An early detection has potential as a tool, which can be part of a warning system predicting the onset of the disease in the sugar beet crop and helping to optimise fungicide application. ",
author = "Wieczorek, {Thies Marten} and J{\o}rgensen, {Lise Nistrup} and Hansen, {Anne Lisbet} and Lisa Munk and Justesen, {Annemarie Fejer}",
year = "2014",
doi = "10.1007/s10658-013-0349-6",
language = "English",
volume = "138",
pages = "775--785",
journal = "European Journal of Plant Pathology",
issn = "0929-1873",
publisher = "Springer",
number = "4",

}

RIS

TY - JOUR

T1 - Early detection of sugar beet pathogen Ramularia beticola in leaf and air samples using qPCR

AU - Wieczorek, Thies Marten

AU - Jørgensen, Lise Nistrup

AU - Hansen, Anne Lisbet

AU - Munk, Lisa

AU - Justesen, Annemarie Fejer

PY - 2014

Y1 - 2014

N2 - A quantitative PCR method (qPCR) was developed for the detection and quantification of Ramularia beticola causing Ramularia leaf spot in sugar beet. R. beticola specific primers were designed based on the internal transcribed spacer region 2 (ITS2). The assay was applied on DNA extracted from spores trapped on tape from Burkard spore traps placed in an artificially inoculated sugar beet field trial and in two sugar beet fields with natural infections. R. beticola DNA was detected at variable amounts in the air samples 14 to 16 days prior to first visible symptoms. R. beticola DNA was detected in air samples from fields with natural infection at significant and increasing levels from development of the first symptoms, indicating that spore production within the crop plays a major role in the epidemic development of the disease. Sugar beet leaves sampled from the inoculated field trial were also tested with the qPCR assay. It was possible to detect the presence of R. beticola in the leaves pre-symptomatic at least 10 days before the occurrence of the visible symptoms of Ramularia leaf spot. This is the first report of a molecular assay, which allows screening for the presence of R. beticola in plant material and in air samples prior to the appearance of visible symptoms. An early detection has potential as a tool, which can be part of a warning system predicting the onset of the disease in the sugar beet crop and helping to optimise fungicide application.

AB - A quantitative PCR method (qPCR) was developed for the detection and quantification of Ramularia beticola causing Ramularia leaf spot in sugar beet. R. beticola specific primers were designed based on the internal transcribed spacer region 2 (ITS2). The assay was applied on DNA extracted from spores trapped on tape from Burkard spore traps placed in an artificially inoculated sugar beet field trial and in two sugar beet fields with natural infections. R. beticola DNA was detected at variable amounts in the air samples 14 to 16 days prior to first visible symptoms. R. beticola DNA was detected in air samples from fields with natural infection at significant and increasing levels from development of the first symptoms, indicating that spore production within the crop plays a major role in the epidemic development of the disease. Sugar beet leaves sampled from the inoculated field trial were also tested with the qPCR assay. It was possible to detect the presence of R. beticola in the leaves pre-symptomatic at least 10 days before the occurrence of the visible symptoms of Ramularia leaf spot. This is the first report of a molecular assay, which allows screening for the presence of R. beticola in plant material and in air samples prior to the appearance of visible symptoms. An early detection has potential as a tool, which can be part of a warning system predicting the onset of the disease in the sugar beet crop and helping to optimise fungicide application.

U2 - 10.1007/s10658-013-0349-6

DO - 10.1007/s10658-013-0349-6

M3 - Journal article

VL - 138

SP - 775

EP - 785

JO - European Journal of Plant Pathology

JF - European Journal of Plant Pathology

SN - 0929-1873

IS - 4

ER -

ID: 95077683