Noninvasive, Presymptomatic Detection of Potato Cyst Nematode Infection in Tomato Using Chlorophyll Fluorescence Analysis.
Robbert van Himbeeck, Eline Laura Binnebösz, Deisy Amora, Michele Gottardi, Jaap-Jan Willig, Stefan Geisen, Johannes Helder
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Abstract
Potato cyst nematodes (PCNs) are notorious pathogens in all major potato production areas worldwide. Mainly due to the low mobility of this soil pathogen, PCN infestations are mostly observed as patches ("foci") that only cover a fraction of the acreage. In-field presymptomatic localization of these pathogens is valuable, as it would allow for the localized application of control measures. Although the mapping of foci is technically feasible, it is unpractical, as it would require the analysis of numerous soil samples. We investigated whether chlorophyll fluorescence (Chl-F) could be suitable as a rapid, nondestructive method for early PCN detection. To this end, the impact of four Globodera pallida densities on the Chl-F of tomato was investigated in a phenotyping greenhouse for 26 days. Furthermore, the classical plant performance indicators of biomass and root surface area were compared with Chl-F. Thermal dissipation (NPQ) and an estimate of the photosynthetic rate (ΦPSII ) responded at 1 day postinoculation, and ΦPSII was most sensitive to low PCN infection levels. Chl-F parameters responded more readily to PCN infection than biomass and root surface area. The maximum quantum yield of photosystem II (Fv /Fm ) and the potential activity of photosystem II (Fv /F0 ) initially increased at low PCN infection levels, whereas a sharp decrease was observed at higher infestation levels. Hence, our data suggest that low PCN levels promoted plant performance before becoming detrimental at higher levels. Although Chl-F allowed for early and sensitive PCN detection, it remains to be investigated whether these signals can be distinguished from those produced by other belowground stressors in the field. [Formula: see text] Copyright © 2025 The Author(s). This is an open access article distributed under the CC BY 4.0 International license.
利用叶绿素荧光分析对番茄马铃薯胞囊线虫感染进行无创、症状前检测。
马铃薯胞囊线虫(PCN)是全球所有主要马铃薯产区臭名昭著的病原体。主要由于这种土壤病原体的流动性很低,因此马铃薯胞囊线虫的侵染大多以斑块("病灶")的形式出现,只占种植面积的一小部分。在田间对这种病原体进行症状前定位是非常有价值的,因为这样就可以在当地采取控制措施。虽然绘制病灶图在技术上是可行的,但由于需要对大量土壤样本进行分析,因此并不实用。我们研究了叶绿素荧光(Chl-F)是否可作为早期 PCN 检测的快速、非破坏性方法。为此,我们在表型温室中研究了四种 Globodera pallida 密度对番茄 Chl-F 的影响,为期 26 天。此外,还将传统的植物性能指标生物量和根表面积与 Chl-F 进行了比较。热耗散('NPQ_Lss')和实际光合速率('QY_Lss')在 1 DPI 时产生反应,而 QY_Lss 对低 PCN 感染水平最为敏感。Chl-F 参数比生物量和根表面积更容易对 PCN 感染做出反应。光系统 II 的效率(QY_max)和光系统 II 的潜在活性(Fv/Fo)最初在 PCN 感染水平较低时有所增加,而在感染水平较高时则急剧下降。因此,我们的数据表明,低水平的 PCN 会促进植物的表现,而在较高水平时则会变得有害。虽然 Chl-F 可以早期灵敏地检测 PCN,但这些信号是否能与田间其他地下胁迫产生的信号区分开来,仍有待研究。
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