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评价 trnK-matK-trnK、ycf3 和 accD-psal 叶绿体区域,以区分大麻属作物类型和生物地理起源。

Evaluation of the trnK-matK-trnK, ycf3, and accD-psal chloroplast regions to differentiate crop type and biogeographical origin of Cannabis sativa.

机构信息

Department of Forensic Science, Sam Houston State University, 1003 Bowers Blvd, Huntsville, TX, 77340, USA.

出版信息

Int J Legal Med. 2021 Jul;135(4):1235-1244. doi: 10.1007/s00414-021-02518-x. Epub 2021 Feb 18.

Abstract

Cannabis sativa (marijuana and hemp) is one of the most controversial crops worldwide. In the USA, the state-specific legalization of marijuana and recently legalized hemp pose a problem for law enforcement. This study seeks to utilize chloroplast hSTRs, INDEL, and SNPs markers to develop genotyping methods to aid in the differentiation of legal hemp from illicit marijuana and also for tracking the flow of trafficked marijuana. Three polymorphic regions: trnK-matK-trnK, ycf3, and accD-psal, of the C. sativa chloroplast genome were evaluated in order to distinguish crop type and biogeographic origin. A total of nine polymorphic sites were genotyped from five distinct populations (hemp from the USA and Canada, marijuana from Chile and USA-Mexico, and medical marijuana from Chile) with a custom fragment and SNaPshot assay. The study also combined genotype results from the same sample set using 21 additional polymorphic markers from previous studies. The effectiveness of these multi-locus assays to distinguish sample groups was assessed using haplotype analysis, phylogenetic analysis, pairwise comparisons, and principal component analysis. Results indicated a clear separation of Canadian hemp using only the nine polymorphic sites developed in this study. The additional 21 markers were able to separate US hemp from both marijuana groups to a significant level (p < 0.05) when assessing average Fixation Indices (F). This study demonstrated the applicability of these organelle markers for the determination of crop type and biogeographic origin of C. sativa. However, a more extensive database is needed to evaluate the true discriminatory power of these markers.

摘要

大麻(大麻和麻)是世界上最具争议的作物之一。在美国,大麻的州特定合法化和最近合法化的麻对执法构成了问题。本研究旨在利用叶绿体 hSTRs、INDEL 和 SNPs 标记来开发基因分型方法,以帮助区分合法的麻与非法的大麻,并跟踪走私大麻的流向。为了区分作物类型和生物地理起源,评估了大麻叶绿体基因组中的三个多态性区域:trnK-matK-trnK、ycf3 和 accD-psal。总共从五个不同的种群(来自美国和加拿大的麻、来自智利和美国-墨西哥的大麻以及来自智利的医用大麻)中鉴定了九个多态性位点,使用了定制片段和 SNaPshot 测定法。该研究还结合了来自相同样本集的基因型结果,使用了来自先前研究的 21 个额外多态性标记。使用单倍型分析、系统发育分析、成对比较和主成分分析评估了这些多基因座检测对区分样本组的有效性。结果表明,仅使用本研究中开发的九个多态性位点就可以清楚地区分加拿大麻。当评估平均固定指数(F)时,这 21 个额外标记能够将美国麻与大麻组显著分开(p <0.05)。本研究表明这些细胞器标记适用于确定大麻的作物类型和生物地理起源。然而,需要更广泛的数据库来评估这些标记的真正区分能力。

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