大麻种内区分研究现状及前景
Research status and prospects of research on intraspecific differentiation of Cannabis sativa L.
付钶钶 1王德兰 1胡晋源 1聂昊 2张颖 2安宁 1刘芳儒 1赵兴春 2高珊 2王白石1
作者信息
- 1. 沈阳医学院基础医学院 辽宁省人类族群特异性及重要疾病表型组学研究重点实验室 沈阳市表型组学研究重点实验室,辽宁 沈阳 110034
- 2. 公安部鉴定中心,北京 100038
- 折叠
摘要
大麻的DNA定性鉴定一直是国内外禁毒研究重点方向之一.以往研究主要集中在大麻种属及性别区分鉴定两方面,且已构建了多个相应的复合扩增体系.随着高通量测序技术的迅猛发展,大麻全基因组及其主要理化成分的关键酶基因序列先后被测定,基于特异性分子标记的大麻种内区分研究逐渐兴起.但是,由于大麻亚种及品种间特异性分子标记的高变异性,国外相关研究未能为我国大麻的种内区分鉴定提供理想的分子标记支持.基于此,本文综合分析了国内外有关大麻种内区分研究的现状与不足,并结合本课题组前期研究成果,对如何利用高通量测序技术来解决我国大麻种内特异性分子标记缺乏这一难题进行了阐述.
Abstract
The DNA characterization of Cannabis sativa L.has been one of the key directions of anti-drug research at home and abroad.Previous research mainly focused on the identification of cannabis-species and gender differentiation,and have constructed a number of corresponding composite amplification systems.With the rapid development of high-throughput sequencing technology,the whole genome of C.sativa and the sequences of key enzyme genes for its major physicochemical components have been sequenced successively,and intra-species differentiation studies of C.sativa based on specific molecular markers have gradually emerged.However,due to the high variability of cannabis subspecies-and variety-specific molecular markers,relevant foreign studies failed to provide ideal molecular marker support for the identification of intra-specific distinctions of Cannabis sativa in China.Based on this,this paper comprehensively analyzes the current situation and shortcomings of domestic and international research on intra-specific differentiation of C.sativa,and combines the previous research results of this group to elaborate on how to use high-throughput sequencing technology to solve the problem of the lack of intra-specific molecular markers of C.sativa in China.
关键词
法医物证学/种内区分/大麻/研究现状Key words
Science of medicolegal physical evidence/Intraspecific variation/Cannabis sativa L/Current research status引用本文复制引用
基金项目
法医遗传学公安部重点实验室开放课题(2022FGKFKT02)
辽宁省科学技术计划项目(2023-MS-329)
基本科研业务费专项资金发展支撑项目(2021JB002)
出版年
2024
NETL
NSTL
万方数据