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感病代谢组学可用于无症状植株的晚疫病早期检测。

Metabolomics of Infected with Leads to Early Detection of Late Blight in Asymptomatic Plants.

机构信息

Laboratory of Advanced Analytical Techniques in Natural Products, Universidad de los Andes, Bogotá 111711, Colombia.

Bioprospección de los Productos Naturales Amazónicos, Facultad de Ciencias Básicas, Universidad de la Amazonia, Florencia 180002, Colombia.

出版信息

Molecules. 2018 Dec 15;23(12):3330. doi: 10.3390/molecules23123330.

Abstract

Tomato crops suffer attacks of various pathogens that cause large production losses. Late blight caused by is a devastating disease in tomatoes because of its difficultly to control. Here, we applied metabolomics based on liquid chromatography⁻mass spectrometry (LC-MS) and metabolic profiling by matrix-assisted laser desorption ionization mass spectrometry (MALDI-MS) in combination with multivariate data analysis in the early detection of late blight on asymptomatic tomato plants and to discriminate infection times of 4, 12, 24, 36, 48, 60, 72 and 96 h after inoculation (hpi). MALDI-MS and LC-MS profiles of metabolites combined with multivariate data analysis are able to detect early-late blight-infected tomato plants, and metabolomics based on LC-MS discriminates infection times in asymptomatic plants. We found the metabolite tomatidine as an important biomarker of infection, saponins as early infection metabolite markers and isocoumarin as early and late asymptomatic infection marker along the post infection time. MALDI-MS and LC-MS analysis can therefore be used as a rapid and effective method for the early detection of late blight-infected tomato plants, offering a suitable tool to guide the correct management and application of sanitary defense approaches. LC-MS analysis also appears to be a suitable tool for identifying major metabolites of asymptomatic late blight-infected tomato plants.

摘要

番茄作物受到各种病原体的攻击,导致大量减产。由 引起的晚疫病是番茄的一种毁灭性疾病,因为它很难控制。在这里,我们应用基于液相色谱⁻质谱(LC-MS)的代谢组学和基质辅助激光解吸电离质谱(MALDI-MS)代谢谱分析,结合多元数据分析,对无症状番茄植株上的晚疫病进行早期检测,并区分接种后 4、12、24、36、48、60、72 和 96 小时(hpi)的感染时间。代谢物的 MALDI-MS 和 LC-MS 图谱结合多元数据分析能够检测到早期感染的晚疫病番茄植株,基于 LC-MS 的代谢组学能够区分无症状植株的感染时间。我们发现代谢物番茄啶作为感染的重要生物标志物,皂苷作为早期感染的代谢标志物,异香豆素作为早期和晚期无症状感染的标志物,随着感染时间的延长而出现。因此,MALDI-MS 和 LC-MS 分析可作为早期检测感染番茄晚疫病的快速有效方法,为正确指导卫生防御措施的管理和应用提供了合适的工具。LC-MS 分析似乎也是鉴定无症状晚疫病感染番茄植物主要代谢物的合适工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb2b/6320815/275d38a37bfe/molecules-23-03330-g001a.jpg

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