利用各种基因分型方法对雄性大麻进行高通量鉴定。

Anthony Torres, Christopher Pauli, Robert Givens, Jason Argyris, Keith Allen, Amparo Monfort, Reginald J Gaudino
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引用次数: 1

摘要

背景:大麻是一种主要的雌雄异株被子植物,具有性发育可塑性。雄蕊雄花的发育基因尚未被阐明;然而,大麻雄性相关DNA (MADC)的一些区域与产生雄蕊花的花粉形成有关。MADC2是基于pcr的遗传标记的一个例子,已被证明产生与男性表型表达相关的390 bp扩增子。我们展示了一种具有成本效益的高通量男性基因分型分析和其他基因分型在大麻男性鉴定中的应用。方法:在这项研究中,我们评估了8200个叶片样本的数据,分析了实时定量聚合酶链反应(qPCR)检测MADC2的商业测试应用程序,该应用程序由陡山实验室提供。通过验证、合作研究项目和后续重测分析,我们观察到qPCR检测MADC2的准确率> 98.5%。我们还利用MADC2进行了高分辨率熔化分析(HRM)、环介导等温扩增(LAMP)和TwistDx重组酶扩增(RPA)检测,用于雄性鉴定。结果:我们展示了一种强大的高通量双工TaqMan qPCR检测方法,使用一种新型MADC2 qPCR探针鉴定男性特异性基因组特征。在3156例男性样本中检测到MADC2,在8200例样本中检测到组织对照大麻素合成,在5047例非男性样本中没有检测到MADC2, qPCR周期商(Cq)值代表了大麻的高通量实时基因分型分析。此外,我们还证明了使用新引物作为替代分析的MADC2附近区域的可行性。最后,我们还展示了几个额外的商业上可行的大麻性别测定方法的概念证明。讨论:在工业应用中,雄性因其生长速度更快,纤维质量更高,以及为雌性植物授粉和生产谷物的能力而受到欢迎。在医学应用中,女性品种更可取,因为它们能够产生大量的次生代谢物,特别是大麻素,萜烯和类黄酮,具有各种药用和娱乐特性。在以往的研究中,传统的PCR和非高通量方法已经被报道用于男性大麻的检测,在我们的研究中,我们提出了多种方法,可以在高通量商业大麻检测中进行。结论:有了这些用于高通量测试分析的标记,大麻行业将能够根据应用程序轻松筛选和选择给定品种的所需性别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

High-throughput methods to identify male Cannabis sativa using various genotyping methods.

High-throughput methods to identify male Cannabis sativa using various genotyping methods.

High-throughput methods to identify male Cannabis sativa using various genotyping methods.

Background: Cannabis sativa is a primarily dioecious angiosperm that exhibits sexual developmental plasticity. Developmental genes for staminate male flowers have yet to be elucidated; however, there are regions of male-associated DNA from Cannabis (MADC) that correlate with the formation of pollen producing staminate flowers. MADC2 is an example of a PCR-based genetic marker that has been shown to produce a 390-bp amplicon that correlates with the expression of male phenotypes. We demonstrate applications of a cost-effective high-throughput male genotyping assay and other genotyping applications of male identification in Cannabis sativa.

Methods: In this study, we assessed data from 8200 leaf samples analyzed for real-time quantitative polymerase chain reaction (qPCR) detection of MADC2 in a commercial testing application offered through Steep Hill Laboratories. Through validation, collaborative research projects, and follow-up retest analysis, we observed a > 98.5% accuracy of detection of MADC2 by qPCR. We also carried out assay development for high-resolution melting analysis (HRM), loop-mediated isothermal amplification (LAMP), and TwistDx recombinase amplification (RPA) assays using MADC2 for male identification.

Results: We demonstrate a robust high-throughput duplex TaqMan qPCR assay for identification of male-specific genomic signatures using a novel MADC2 qPCR probe. The qPCR cycle quotient (Cq) value representative of MADC2 detection in 3156 males and the detection of tissue control cannabinoid synthesis for 8200 samples and the absence of MADC2 detection in 5047 non-males demonstrate a robust high-throughput real-time genotyping assay for Cannabis. Furthermore, we also demonstrated the viability of using nearby regions to MADC2 with novel primers as alternative assays. Finally, we also show proof of concept of several additional commercially viable sex determination methodologies for Cannabis sativa.

Discussion: In industrial applications, males are desirable for their more rapid growth and higher quality fiber quality, as well as their ability to pollinate female plants and produce grain. In medicinal applications, female cultivars are more desirable for their ability to produce large amounts of secondary metabolites, specifically the cannabinoids, terpenes, and flavonoids that have various medicinal and recreational properties. In previous studies, traditional PCR and non-high-throughput methods have been reported for the detection of male cannabis, and in our study, we present multiple methodologies that can be carried out in high-throughput commercial cannabis testing.

Conclusion: With these markers developed for high-throughput testing assays, the Cannabis industry will be able to easily screen and select for the desired sex of a given cultivar depending on the application.

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