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利用选定离子流管质谱(SIFT-MS)技术在草莓果实静止感染期对灰葡萄孢菌进行早期检测。

Early detection of Botrytis cinerea in strawberry fruit during quiescent infection using selected ion flow tube mass spectrometry (SIFT-MS).

机构信息

Division of Crop Biotechnics, Department of Biosystems, KU Leuven, Willem de Croylaan 42, 3001 Leuven, Belgium; Division of Mechatronics, Biostatistics and Sensors, Department of Biosystems, KU Leuven, Willem de Croylaan 42, 3001 Leuven, Belgium; KU Leuven Plant Institute, 3001 Heverlee, Belgium.

Division of Crop Biotechnics, Department of Biosystems, KU Leuven, Willem de Croylaan 42, 3001 Leuven, Belgium; KU Leuven Plant Institute, 3001 Heverlee, Belgium.

出版信息

Int J Food Microbiol. 2023 Oct 2;402:110313. doi: 10.1016/j.ijfoodmicro.2023.110313. Epub 2023 Jun 29.

Abstract

Botrytis cinerea is a devastating pathogen that can cause huge postharvest losses of strawberry. Although this fungus usually infects strawberries through their flowers, symptoms mainly appear when fruit are fully mature. A fast and sensitive method to detect and quantify the fungal infection, prior to symptom development, is, therefore, needed. In this study, we explore the possibility of using the strawberry volatilome to identify biomarkers for B. cinerea infection. Strawberry flowers were inoculated with B. cinerea to mimic the natural infection. First, quantitative polymerase chain reaction (qPCR) was used to quantify B. cinerea in the strawberry fruit. The detection limit of qPCR for B. cinerea DNA extracted from strawberries was 0.01 ng. Subsequently, changes in the fruit volatilome at different fruit developmental stages were characterized using gas chromatography - mass spectrometry (GC-MS) and selected ion flow tube mass spectrometry (SIFT-MS). Based on GC-MS data, 1-octen-3-ol produced by B. cinerea was confirmed as a potential biomarker of B. cinerea infection. Moreover, the product ion NO 127, obtained by SIFT-MS measurements, was proposed as a potential biomarker for B. cinerea infection by comparing its relative level with that of 1-octen-3-ol (obtained by GC-MS) and B. cinerea (obtained by qPCR). Separate PLS regressions were carried out for each developmental stages, and 11 product ions were significantly altered at all developmental stages. Finally, PLS regressions using these 11 ions as variables allowed the discrimination between samples containing different amount of B. cinerea. This work showed that profiling the fruit's volatilome using SIFT-MS can be used as a potential alternative to detect B. cinerea during the quiescent stage of B. cinerea infection prior to symptom development. Moreover, the corresponding compounds of potential biomarkers suggest that the volatile changes caused by B. cinerea infection may contribute to strawberry defense.

摘要

灰葡萄孢是一种毁灭性的病原体,可导致草莓采后大量损失。尽管这种真菌通常通过花感染草莓,但症状主要出现在果实完全成熟时。因此,需要一种快速、灵敏的方法来检测和定量真菌感染,即在症状出现之前。在这项研究中,我们探索了利用草莓挥发物来识别灰葡萄孢感染生物标志物的可能性。用灰葡萄孢接种草莓花来模拟自然感染。首先,用定量聚合酶链反应(qPCR)定量检测草莓果实中的灰葡萄孢。qPCR 检测从草莓中提取的灰葡萄孢 DNA 的检测限为 0.01ng。随后,使用气相色谱-质谱联用(GC-MS)和选择离子流管质谱(SIFT-MS)对不同果实发育阶段果实挥发物的变化进行了表征。基于 GC-MS 数据,证实了由灰葡萄孢产生的 1-辛烯-3-醇是灰葡萄孢感染的潜在生物标志物。此外,通过比较 SIFT-MS 测量得到的产物离子 NO 127与 1-辛烯-3-醇(由 GC-MS 获得)和灰葡萄孢(由 qPCR 获得)的相对水平,提出了将产物离子 NO 127 作为灰葡萄孢感染的潜在生物标志物。针对每个发育阶段分别进行了单独的 PLS 回归,在所有发育阶段,有 11 个产物离子发生了显著变化。最后,使用这些 11 个离子作为变量的 PLS 回归允许区分含有不同量灰葡萄孢的样品。这项工作表明,使用 SIFT-MS 对果实挥发物进行分析可以作为一种潜在的替代方法,在症状出现之前,在灰葡萄孢感染的休眠期检测灰葡萄孢。此外,潜在生物标志物的相应化合物表明,灰葡萄孢感染引起的挥发性变化可能有助于草莓防御。

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