大麻性别和大麻素化学型的早期检测:印度土著种质的SCAR标记验证。

IF 1.6 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Yash Pandey, Trishna Chaturvedi, Nivedita Singh, Anil Kumar Gupta, Karuna Shanker, Gunjan Tiwari
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引用次数: 0

摘要

大麻是一种多功能作物,具有巨大的工业和药用价值,因其纤维,种子,特别是其生物活性大麻素而被种植,但由于形态分化延迟和早期生长期间大麻素积累有限,性别和化学型的早期鉴定仍然具有挑战性。本研究验证了可重复性DNA标记在印度大麻种质资源早期选择中的应用。为了确定性别,我们评估了三个序列特征扩增区(SCAR)标记——scar119、SCAR323和雄性相关DNA克隆2 (MADC2)。MADC2标记在雄性植物中扩增出390 bp的片段,而大多数雌性植物扩增出560 bp和870 bp的片段。MADC2基因型和表型性别之间的强相关性强调了其在早期性别鉴定中的效用,这对于通过防止不必要的授粉来最大化大麻素产量至关重要。同时,评估化学型特异性标记以预测大麻素谱。利用高效液相色谱法(HPLC),根据THCA: CBDA的比值将植物分为三种化学型:thc优势型、中间型和cbd优势型。显性标记D589与四氢大麻酚生物合成有关,而共显性标记B1080/B1192通过检测大麻素合成酶基因的等位基因变异,提供了精细的化学型区分。克隆和序列分析表明,这些标记与已知的大麻素生产相关的基因组区域有显著的相似性。总之,经过验证的SCAR标记可以早期准确地识别大麻性别和大麻素化学型。这些工具为标记辅助育种、法规遵从性(例如,将大麻的四氢大麻酚水平保持在0.3%以下)以及优化印度工业和制药应用的种植实践提供了实质性的好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Early Detection of Sex and Cannabinoid Chemotypes in Cannabis sativa: SCAR Marker Validation in Indigenous Indian Germplasm.

Cannabis sativa is a versatile crop of immense industrial and medicinal value, cultivated for its fiber, seeds, and especially for its bioactive cannabinoids, yet early identification of sex and chemotype remains challenging due to delayed morphological differentiation and limited cannabinoid accumulation during early growth. This study validated reproducible DNA markers for early selection in Indian cannabis germplasm. For sex determination, i.e., three Sequence Characterized Amplified Region (SCAR) markers-SCAR119, SCAR323, and the Male-Associated DNA Clone 2 (MADC2), were evaluated. The MADC2 marker reliably amplified a 390 bp fragment in male plants, whereas most female plants exhibited 560 bp and 870 bp bands. This strong correlation between MADC2 genotypes and phenotypic sex underscores its utility for early sex identification, which is critical for maximizing cannabinoid yield by preventing unwanted pollination. In parallel, chemotype-specific markers were assessed to predict cannabinoid profiles. Using high-performance liquid chromatography (HPLC), plants were classified into three chemotypes based on THCA: CBDA ratios: THC-dominant, intermediate, and CBD-dominant. The dominant marker D589 was associated with THC biosynthesis, while the co-dominant marker B1080/B1192 provided refined differentiation between chemotypes by detecting allelic variations in cannabinoid synthase genes. Cloning and sequence analysis of these markers revealed significant similarity to known genomic regions involved in cannabinoid production. In summary, the validated SCAR markers enable early and accurate identification of sex and cannabinoid chemotype in Cannabis sativa. These tools offer substantial benefits for marker-assisted breeding, regulatory compliance (e.g., maintaining THC levels below 0.3% for hemp), and optimizing cultivation practices for both industrial and pharmaceutical applications in India.

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来源期刊
Biochemical Genetics
Biochemical Genetics 生物-生化与分子生物学
CiteScore
3.90
自引率
0.00%
发文量
133
审稿时长
4.8 months
期刊介绍: Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.
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