Identification of a bio-signature for barley resistance against Pyrenophora teres infection based on physiological, molecular and sensor-based phenotyping

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Standard

Identification of a bio-signature for barley resistance against Pyrenophora teres infection based on physiological, molecular and sensor-based phenotyping. / Pandey, Chandana; Großkinsky, Dominik K.; Westergaard, Jesper Cairo; Jørgensen, Hans J.L.; Svensgaard, Jesper; Christensen, Svend; Schulz, Alexander; Roitsch, Thomas.

I: Plant Science, Bind 313, 111072, 2021.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Pandey, C, Großkinsky, DK, Westergaard, JC, Jørgensen, HJL, Svensgaard, J, Christensen, S, Schulz, A & Roitsch, T 2021, 'Identification of a bio-signature for barley resistance against Pyrenophora teres infection based on physiological, molecular and sensor-based phenotyping', Plant Science, bind 313, 111072. https://doi.org/10.1016/j.plantsci.2021.111072

APA

Pandey, C., Großkinsky, D. K., Westergaard, J. C., Jørgensen, H. J. L., Svensgaard, J., Christensen, S., Schulz, A., & Roitsch, T. (2021). Identification of a bio-signature for barley resistance against Pyrenophora teres infection based on physiological, molecular and sensor-based phenotyping. Plant Science, 313, [111072]. https://doi.org/10.1016/j.plantsci.2021.111072

Vancouver

Pandey C, Großkinsky DK, Westergaard JC, Jørgensen HJL, Svensgaard J, Christensen S o.a. Identification of a bio-signature for barley resistance against Pyrenophora teres infection based on physiological, molecular and sensor-based phenotyping. Plant Science. 2021;313. 111072. https://doi.org/10.1016/j.plantsci.2021.111072

Author

Pandey, Chandana ; Großkinsky, Dominik K. ; Westergaard, Jesper Cairo ; Jørgensen, Hans J.L. ; Svensgaard, Jesper ; Christensen, Svend ; Schulz, Alexander ; Roitsch, Thomas. / Identification of a bio-signature for barley resistance against Pyrenophora teres infection based on physiological, molecular and sensor-based phenotyping. I: Plant Science. 2021 ; Bind 313.

Bibtex

@article{103d331985234ad0940e99871615cfaf,
title = "Identification of a bio-signature for barley resistance against Pyrenophora teres infection based on physiological, molecular and sensor-based phenotyping",
abstract = "Necrotic and chlorotic symptoms induced during Pyrenophora teres infection in barley leaves indicate a compatible interaction that allows the hemi-biotrophic fungus Pyrenophora teres to colonise the host. However, it is unexplored how this fungus affects the physiological responses of resistant and susceptible cultivars during infection. To assess the degree of resistance in four different cultivars, we quantified visible symptoms and fungal DNA and performed expression analyses of genes involved in plant defence and ROS scavenging. To obtain insight into the interaction between fungus and host, we determined the activity of 19 key enzymes of carbohydrate and antioxidant metabolism. The pathogen impact was also phenotyped non-invasively by sensor-based multireflectance and –fluorescence imaging. Symptoms, regulation of stress-related genes and pathogen DNA content distinguished the cultivar Guld as being resistant. Severity of net blotch symptoms was also strongly correlated with the dynamics of enzyme activities already within the first day of infection. In contrast to the resistant cultivar, the three susceptible cultivars showed a higher reflectance over seven spectral bands and higher fluorescence intensities at specific excitation wavelengths. The combination of semi high-throughput physiological and molecular analyses with non-invasive phenotyping enabled the identification of bio-signatures that discriminates the resistant from susceptible cultivars.",
keywords = "Bio-signatures, Crop resistance, Enzyme activity signatures, Expression analysis, Fungal DNA, Multispectral imaging, PhenoLab, Pre-symptomatic",
author = "Chandana Pandey and Gro{\ss}kinsky, {Dominik K.} and Westergaard, {Jesper Cairo} and J{\o}rgensen, {Hans J.L.} and Jesper Svensgaard and Svend Christensen and Alexander Schulz and Thomas Roitsch",
note = "Publisher Copyright: {\textcopyright} 2021",
year = "2021",
doi = "10.1016/j.plantsci.2021.111072",
language = "English",
volume = "313",
journal = "Plant Science",
issn = "0168-9452",
publisher = "Elsevier Ireland Ltd",

}

RIS

TY - JOUR

T1 - Identification of a bio-signature for barley resistance against Pyrenophora teres infection based on physiological, molecular and sensor-based phenotyping

AU - Pandey, Chandana

AU - Großkinsky, Dominik K.

AU - Westergaard, Jesper Cairo

AU - Jørgensen, Hans J.L.

AU - Svensgaard, Jesper

AU - Christensen, Svend

AU - Schulz, Alexander

AU - Roitsch, Thomas

N1 - Publisher Copyright: © 2021

PY - 2021

Y1 - 2021

N2 - Necrotic and chlorotic symptoms induced during Pyrenophora teres infection in barley leaves indicate a compatible interaction that allows the hemi-biotrophic fungus Pyrenophora teres to colonise the host. However, it is unexplored how this fungus affects the physiological responses of resistant and susceptible cultivars during infection. To assess the degree of resistance in four different cultivars, we quantified visible symptoms and fungal DNA and performed expression analyses of genes involved in plant defence and ROS scavenging. To obtain insight into the interaction between fungus and host, we determined the activity of 19 key enzymes of carbohydrate and antioxidant metabolism. The pathogen impact was also phenotyped non-invasively by sensor-based multireflectance and –fluorescence imaging. Symptoms, regulation of stress-related genes and pathogen DNA content distinguished the cultivar Guld as being resistant. Severity of net blotch symptoms was also strongly correlated with the dynamics of enzyme activities already within the first day of infection. In contrast to the resistant cultivar, the three susceptible cultivars showed a higher reflectance over seven spectral bands and higher fluorescence intensities at specific excitation wavelengths. The combination of semi high-throughput physiological and molecular analyses with non-invasive phenotyping enabled the identification of bio-signatures that discriminates the resistant from susceptible cultivars.

AB - Necrotic and chlorotic symptoms induced during Pyrenophora teres infection in barley leaves indicate a compatible interaction that allows the hemi-biotrophic fungus Pyrenophora teres to colonise the host. However, it is unexplored how this fungus affects the physiological responses of resistant and susceptible cultivars during infection. To assess the degree of resistance in four different cultivars, we quantified visible symptoms and fungal DNA and performed expression analyses of genes involved in plant defence and ROS scavenging. To obtain insight into the interaction between fungus and host, we determined the activity of 19 key enzymes of carbohydrate and antioxidant metabolism. The pathogen impact was also phenotyped non-invasively by sensor-based multireflectance and –fluorescence imaging. Symptoms, regulation of stress-related genes and pathogen DNA content distinguished the cultivar Guld as being resistant. Severity of net blotch symptoms was also strongly correlated with the dynamics of enzyme activities already within the first day of infection. In contrast to the resistant cultivar, the three susceptible cultivars showed a higher reflectance over seven spectral bands and higher fluorescence intensities at specific excitation wavelengths. The combination of semi high-throughput physiological and molecular analyses with non-invasive phenotyping enabled the identification of bio-signatures that discriminates the resistant from susceptible cultivars.

KW - Bio-signatures

KW - Crop resistance

KW - Enzyme activity signatures

KW - Expression analysis

KW - Fungal DNA

KW - Multispectral imaging

KW - PhenoLab

KW - Pre-symptomatic

U2 - 10.1016/j.plantsci.2021.111072

DO - 10.1016/j.plantsci.2021.111072

M3 - Journal article

C2 - 34763864

AN - SCOPUS:85116329829

VL - 313

JO - Plant Science

JF - Plant Science

SN - 0168-9452

M1 - 111072

ER -

ID: 284093729