Unverified paper record
Discovering coherency of specific gene expression and optical reflectance properties of barley genotypes differing for resistance reactions against powdery mildew.
PloS one · 19 Mar 2019 · 10.1371/journal.pone.0213291
Abstract
Hyperspectral imaging has proved its potential for evaluating complex plant-pathogen interactions. However, a closer link of the spectral signatures and genotypic characteristics remains elusive. Here, we show relation between gene expression profiles and specific wavebands from reflectance during three barley-powdery mildew interactions. Significant synergistic effects between the hyperspectral signal and the corresponding gene activities has been shown using the linear discriminant analysis (LDA). Combining the data sets of hyperspectral signatures and gene expression profiles allowed a more precise differentiation of the three investigated barley-Bgh interactions independent from the time after inoculation. This shows significant synergistic effects between the hyperspectral signal and the corresponding gene activities. To analyze this coherency between spectral reflectance and seven different gene expression profiles, relevant wavelength bands and reflectance intensities for each gene were computed using the Relief algorithm. Instancing, xylanase activity was indicated by relevant wavelengths around 710 nm, which are characterized by leaf and cell structures. HvRuBisCO activity underlines relevant wavebands in the green and red range, elucidating the coherency of RuBisCO to the photosynthesis apparatus and in the NIR range due to the influence of RuBisCO on barley leaf cell development. These findings provide the first insights to links between gene expression and spectral reflectance that can be used for an efficient non-invasive phenotyping of plant resistance and enables new insights into plant-pathogen interactions.
Plant phenotyping relevance
植物病害抵抗性を非侵襲的に推定するため、ハイパースペクトル反射、LDA、Reliefによる波長特徴抽出を中心的に評価しており、単なる生物学的測定ではない。
abstractHyperspectral imaging has proved its potential for evaluating complex plant-pathogen interactions.
abstractThese findings provide the first insights to links between gene expression and spectral reflectance that can be used for an efficient non-invasive phenotyping of plant resistance
Code and data availability
The paper states all relevant data are within the manuscript and its Supporting Information files, which contain only a Welch's t-test figure (S1 Fig) and qPCR primer table (S1 Table). No public phenotype dataset, hyperspectral image repository, analysis code, or trained model is deposited; no authors' public URL for a
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