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

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    0547499 - ÚVGZ 2022 RIV IE eng J - Journal Article
    Pandey, C. - Grosskinsky, D. K. - Westergaard, J. C. - Jorgensen, H. J. L. - Svensgaard, J. - Christensen, S. - Schulz, A. - Roitsch, Thomas
    Identification of a bio-signature for barley resistance against Pyrenophora teres infection based on physiological, molecular and sensor-based phenotyping.
    Plant Science. Roč. 313, DEC (2021), s. 1-11. ISSN 0168-9452. E-ISSN 1873-2259
    R&D Projects: GA MŠMT(CZ) LO1415
    Research Infrastructure: CzeCOS III - 90123
    Institutional support: RVO:86652079
    Keywords : source-sink relationships * carbohydrate-metabolism * hydrogen-peroxide * defense-mechanisms * leaf reflectance * gene-expression * theobroma-cacao * powdery mildew * stress * disease * Crop resistance * Enzyme activity signatures * Expression analysis * Multispectral imaging * Fungal DNA * PhenoLab * Pre-symptomatic * Bio-signatures
    OECD category: Biochemistry and molecular biology
    Impact factor: 5.363, year: 2021
    Method of publishing: Limited access
    https://www.sciencedirect.com/science/article/pii/S0168945221002685?via%3Dihub

    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 andfluorescence imaging.
    Permanent Link: http://hdl.handle.net/11104/0323714

     
     
Number of the records: 1  

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