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将生物物理光合参数整合到一个光化学指标中,用于早期检测辣椒植株感染烟草花叶病毒。

Integration of biophysical photosynthetic parameters into one photochemical index for early detection of Tobacco Mosaic Virus infection in pepper plants.

机构信息

Laboratory of Plant Physiology, Department of Biology, University of Patras, Patras, 26504, Greece.

ELGO-Demeter, Plant Protection Division of Patras, NEO and Amerikis, Patras, 26444, Greece.

出版信息

J Plant Physiol. 2021 Dec;267:153542. doi: 10.1016/j.jplph.2021.153542. Epub 2021 Oct 6.

Abstract

Photosynthesis in host plants is significantly reduced by many virus families. The early detection of viral infection before the onset of visual symptoms in both directly and systemically infected leaves is critical in crop protection. Viral pathogens cause a variety of symptoms through modifications of chloroplast structure and function and the response of the photochemistry process is immediate. Therefore, chlorophyll fluorescence monitoring has been extensively investigated the last two decades as a tool for timely assessment of pathogenic threats. Alternatively, the analysis of Chla fluorescence transients offers several interlinked parameters which describe the fate of excitation energy round and through the photosystems. Additionally, OJIP fluorescence transients and leaf reflectance spectra methodologies serve for rapid screening of large number of samples. The objective of the present study was to achieve early detection of viral infection, integrating the multiparametric information of the Chla fluorescence transients and of the leaf reflectance spectra into one photochemical performance index. Infection decreased the maximum quantum yield of PSII (F/F), the effective quantum yield of PSII (Φ), the CO assimilation rate (A) and the stomatal conductance (g) in the studied TMV-pepper plant pathosystem, while non-photochemical quenching (NPQ) increased. Some parameters from the OJIP transients and the leaf reflectance spectra were significantly affected 24 h after infection, while others modified three to five days later. Similar results were obtained from systemically infected leaves but with one to three days hysteresis compared to inoculated leaves. Differences between healthy and infected leaves were marginal during the first 24 h post infection. The Integrated Biomarker Response tool was used to create a photochemical infection index (PINFI) which integrates the partial effects of infection on each fluorescence and reflectance index. The PINFI, which to the best of our knowledge is the first photochemical infection index created by the IBR method, discriminated reliably between the infected and healthy leaves of pepper plants from the first 24 h after infection with the TMV.

摘要

许多病毒科会显著降低宿主植物的光合作用。在直接和系统感染的叶片出现可见症状之前,早期检测病毒感染对于作物保护至关重要。病毒病原体通过改变叶绿体结构和功能以及光化学过程的响应来引起各种症状。因此,在过去二十年中,叶绿素荧光监测已被广泛研究作为及时评估致病威胁的工具。或者,叶绿素荧光瞬变的分析提供了几个相互关联的参数,这些参数描述了激发能在光系统中循环和通过的命运。此外,OJIP 荧光瞬变和叶片反射光谱方法可用于快速筛选大量样本。本研究的目的是通过将叶绿素荧光瞬变和叶片反射光谱的多参数信息整合到一个光化学性能指数中,实现对病毒感染的早期检测。在研究的 TMV-辣椒植物病理系统中,感染降低了 PSII 的最大量子产率(F/F)、PSII 的有效量子产率(Φ)、CO 同化率(A)和气孔导度(g),而非光化学猝灭(NPQ)增加。在感染后 24 小时,OJIP 瞬变和叶片反射光谱的一些参数受到显著影响,而其他参数则在三到五天后发生变化。在系统感染的叶片中也得到了类似的结果,但与接种叶片相比,存在一到三天的滞后。在感染后 24 小时内,健康叶片和感染叶片之间的差异很小。使用综合生物标志物响应工具创建了一个光化学感染指数(PINFI),该指数整合了感染对每个荧光和反射指数的部分影响。PINFI 是 IBR 方法创建的第一个光化学感染指数,能够可靠地区分感染后 24 小时内的辣椒植株健康叶片和感染叶片。

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