期刊
PLANT METHODS
卷 15, 期 1, 页码 -出版社
BMC
DOI: 10.1186/s13007-019-0542-5
关键词
Virus-induced gene silencing; Cannabis sativa; Cotton leaf crumple virus (CLCrV); Post-transcriptional gene silencing (PTGS)
资金
- Deutsche Forschungsgemeinschaft (DFG)
- Technische Universitat Dortmund/TU Dortmund Technical University (Germany)
Background: The raised demand of cannabis as a medicinal plant in recent years led to an increased interest in understanding the biosynthetic routes of cannabis metabolites. Since there is no established protocol to generate stable gene knockouts in cannabis, the use of a virus-induced gene silencing (VIGS) method, resulting in a gene knockdown, to study gene functions is desirable. Results: For this, a computational approach was employed to analyze the Cannabis sativa L. transcriptomic and genomic resources. Reporter genes expected to give rise to easily scorable phenotypes upon silencing, i.e. the phytoene desaturase (PDS) and magnesium chelatase subunit I (ChlI), were identified in C. sativa. Subsequently, the targets of specific small interfering RNAs (siRNAs) and silencing fragments were predicted and tested in a post-transcriptional gene silencing (PTGS) approach. Here we show for the first time a gene knockdown in C. sativa using the Cotton leaf crumple virus (CLCrV) in a silencing vector system. Plants transiently transformed with the Agrobacterium tumefaciens strain AGL1, carrying the VIGS-vectors, showed the desired phenotypes, spotted bleaching of the leaves. The successful knockdown of the genes was additionally validated by quantitative PCR resulting in reduced expression of transcripts from 70 to 73% for ChlI and PDS, respectively. This is accompanied with the reduction of the chlorophyll a and carotenoid content, respectively. In summary, the data clearly demonstrate the potential for functional gene studies in cannabis using the CLCrV-based vector system. Conclusions: The applied VIGS-method can be used for reverse genetic studies in C. sativa to identify unknown gene functions. This will gain deeper inside into unknown biosynthetic routes and will help to close the gap between available genomic data and biochemical information of this important medicinal plant.
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