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一种新型、精确、高通量的大麻环斑病毒检测技术(MFDetect)。

A Novel, Precise and High-Throughput Technology for Viroid Detection in Cannabis (MFDetect).

机构信息

Department of Environmental Science, Policy and Management, University of California, Berkeley, CA 94720, USA.

MyFloraDNA, Inc., 1451 River Park Dr., Sacramento, CA 95815, USA.

出版信息

Viruses. 2023 Jun 30;15(7):1487. doi: 10.3390/v15071487.

DOI:10.3390/v15071487
PMID:37515174
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10385567/
Abstract

Hop latent viroid (HLVd) is a severe disease of cannabis, causing substantial economic losses in plant yield and crop value for growers worldwide. The best way to control the disease is early detection to limit the spread of the viroid in grow facilities. This study describes MFDetect as a rapid, highly sensitive, and high-throughput tool for detecting HLVd in the early stages of plant development. Furthermore, in the largest research study conducted so far for HLVd detection in cannabis, we compared MFDetect with quantitative RT-PCR in a time course experiment using different plant tissues, leaves, petioles, and roots at different plant developmental stages to demonstrate both technologies are comparable. Our study found leaf tissue is a suitable plant material for HLVd detection, with the viroid titer increasing in the infected leaf tissue with the age of plants. The study showed that other tissue types, including petiole and roots, were equally sensitive to detection via MFDetect. The assay developed in this research allows the screening of thousands of plants in a week. The assay can be scaled easily to provide growers with a quick turnaround and a cost-effective diagnostic tool for screening many plants and tissue types at different stages of development.

摘要

Hop 潜隐病毒(HLVd)是大麻的一种严重疾病,给全球种植者的作物产量和经济价值带来了巨大损失。控制这种疾病的最佳方法是早期检测,以限制病毒在种植设施中的传播。本研究描述了 MFDetect,这是一种快速、高度敏感和高通量的工具,可用于在植物发育的早期阶段检测 HLVd。此外,在迄今为止针对大麻中 HLVd 检测进行的最大研究中,我们使用不同的植物组织(叶片、叶柄和根)和不同的植物发育阶段进行了时间过程实验,将 MFDetect 与定量 RT-PCR 进行了比较,证明这两种技术是可比的。我们的研究发现,叶片组织是检测 HLVd 的合适植物材料,随着植物年龄的增长,感染叶片组织中的病毒滴度增加。该研究表明,其他组织类型,包括叶柄和根,通过 MFDetect 检测同样敏感。本研究中开发的检测方法允许在一周内筛选数千株植物。该检测方法易于扩展,为种植者提供了一种快速周转和具有成本效益的诊断工具,用于筛选不同发育阶段的许多植物和组织类型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4d9/10385567/0ad701fe6406/viruses-15-01487-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4d9/10385567/8c18a75b85f5/viruses-15-01487-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4d9/10385567/a17af7f71ce3/viruses-15-01487-g002a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4d9/10385567/0ad701fe6406/viruses-15-01487-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4d9/10385567/8c18a75b85f5/viruses-15-01487-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4d9/10385567/a17af7f71ce3/viruses-15-01487-g002a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d4d9/10385567/0ad701fe6406/viruses-15-01487-g003.jpg

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