Yeon Insu, Yeo Jihyeon, Park Yejin, Kim Ghiseok, Lee Jae Hoon, Kimm Hyungsuk
Department of Agriculture, Forestry and Bioresources, College of Agriculture and Life Sciences, Seoul National University, Seoul, 08826, South Korea.
Department of Agricultural Biotechnology, College of Agriculture and Life Sciences, Seoul National University, Seoul, 08826, South Korea.
Plant Methods. 2025 Jun 5;21(1):80. doi: 10.1186/s13007-025-01391-8.
Rice blast, one of the major diseases causing significant rice yield loss, downregulates the photosynthetic activity and induces aggressive spread of cell death causing food security concerns. Hence, earlier quantification of rice blast is imperative for improved management of the disease. Instantaneous chlorophyll fluorescence (e.g., sun-induced chlorophyll fluorescence under sunlight), which is mechanistically linked with photosynthesis at the photosystem scale, has shown the potential for quantifying the impact of abiotic stresses on plant physiology but remains yet to be tested for biotic stresses. Here, we assessed the potential of chlorophyll fluorescence (CF) for quantifying rice blast impact on plant physiology. In particular, we further retrieved the quantum yield of chlorophyll fluorescence (Φ) by normalizing the influence of the magnitude of incident radiation.
Φ sensitively responded to rice blast within 24 and 96 hours post-inoculation for susceptible and resistant cultivars, respectively. We confirmed that the Φ showed strong sensitivity in response to different doses of inoculation and to cultivar difference. In addition to Φ results, we further investigated the role of red to far-red CF ratio (CF) in rice blast detection. CF, which was previously reported to be tightly coupled with chlorophyll contents, captured the impact of rice blast inoculation to some extent while green chlorophyll vegetation index did not show any difference across all inoculated groups.
We confirmed that the Φ sensitively responded to rice blast inoculation and differentiated two dose levels of inoculation and low- and high-resistance levels via the comparison of two cultivars. Furthermore, the full spectrum of chlorophyll fluorescence was used to obtain the red to far-red CF ratio and showed its capability for indicating the physiological impact of rice blast. Our findings highlight the unique role of chlorophyll fluorescence in sensitively quantifying rice blast impact. Our approach is highly scalable through sun-induced chlorophyll fluorescence observations and thus will contribute to improving the large-scale management of rice blast.
稻瘟病是导致水稻产量大幅损失的主要病害之一,它会下调光合作用活性,并引发细胞死亡的快速扩散,从而引发粮食安全问题。因此,尽早对稻瘟病进行量化对于更好地管理该病害至关重要。瞬时叶绿素荧光(例如,阳光下的太阳诱导叶绿素荧光)在光系统尺度上与光合作用存在机制联系,已显示出量化非生物胁迫对植物生理影响的潜力,但尚未针对生物胁迫进行测试。在此,我们评估了叶绿素荧光(CF)量化稻瘟病对植物生理影响的潜力。特别是,我们通过归一化入射辐射强度的影响进一步获取了叶绿素荧光量子产率(Φ)。
对于感病品种和抗病品种,Φ分别在接种后24小时和96小时内对稻瘟病敏感响应。我们证实,Φ对不同接种剂量和品种差异表现出强烈的敏感性。除了Φ的结果,我们还进一步研究了红到远红CF比值(CF)在稻瘟病检测中的作用。此前报道CF与叶绿素含量紧密相关,它在一定程度上捕捉到了稻瘟病接种的影响,而绿色叶绿素植被指数在所有接种组中均未显示出任何差异。
我们证实,Φ对稻瘟病接种敏感响应,并通过比较两个品种区分了两个接种剂量水平以及低抗和高抗水平。此外,利用叶绿素荧光全光谱获得红到远红CF比值,并显示出其指示稻瘟病生理影响的能力。我们的研究结果突出了叶绿素荧光在灵敏量化稻瘟病影响方面的独特作用。我们的方法通过太阳诱导叶绿素荧光观测具有高度可扩展性,因此将有助于改善稻瘟病的大规模管理。