Department of Civil, Environmental, Land, Building Engineering and Chemistry (DICATECh), Polytechnic University of Bari, Via Orabona, 4, I-70125 Bari, Italy.
International Centre for Advanced Mediterranean Agronomic Studies of Bari (CIHEAM Bari), Via Ceglie 9, 70010 Valenzano, Italy.
Molecules. 2023 Nov 9;28(22):7512. doi: 10.3390/molecules28227512.
Olive quick decline syndrome (OQDS) is a disease that has been seriously affecting olive trees in southern Italy since around 2009. During the disease, caused by subsp. sequence type ST53 (), the flow of water and nutrients within the trees is significantly compromised. Initially, infected trees may not show any symptoms, making early detection challenging. In this study, young artificially infected plants of the susceptible cultivar Cellina di Nardò were grown in a controlled environment and co-inoculated with additional xylem-inhabiting fungi. Asymptomatic leaves of olive plants at an early stage of infection were collected and analyzed using nuclear magnetic resonance (NMR), hyperspectral reflectance (HSR), and chemometrics. The application of a spectranomic approach contributed to shedding light on the relationship between the presence of specific hydrosoluble metabolites and the optical properties of both asymptomatic -infected and non-infected olive leaves. Significant correlations between wavebands located in the range of 530-560 nm and 1380-1470 nm, and the following metabolites were found to be indicative of infection: malic acid, fructose, sucrose, oleuropein derivatives, and formic acid. This information is the key to the development of HSR-based sensors capable of early detection of infections in olive trees.
油橄榄快速衰退综合征(OQDS)是一种自 2009 年以来严重影响意大利南部橄榄树的疾病。在由 subsp. 序列类型 ST53 ()引起的疾病中,树木内的水流和养分输送受到严重影响。最初,受感染的树木可能没有任何症状,因此早期检测具有挑战性。在这项研究中,易感品种 Cellina di Nardò 的人工感染幼树在受控环境中生长,并与其他木质部栖息真菌共同接种。在感染早期,从无症状的橄榄树叶片中采集并使用核磁共振 (NMR)、高光谱反射率 (HSR) 和化学计量学进行分析。应用光谱组学方法有助于揭示特定水溶代谢物的存在与无症状感染和未感染橄榄叶的光学特性之间的关系。发现位于 530-560nm 和 1380-1470nm 范围内的波段与以下代谢物之间存在显著相关性,表明存在感染:苹果酸、果糖、蔗糖、橄榄苦苷衍生物和甲酸。这些信息是开发基于 HSR 的传感器以早期检测橄榄树中 感染的关键。