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周升菲1, 宋王婷1, 孙良帅1, 陈婉迪1, 董娟娥1,2, 陈坤明1,2*
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1. 西北农林科技大学 生命科学学院,作物抗逆与高效生产全国重点实验室,陕西 咸阳 712100； 2. 西北农林科技大学,安康中药材试验示范站,陕西 安康 725000
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| 摘要: |
| 为丰富丹参种质资源，建立丹参的质量评价模型，创制筛选表型优良的丹参新种质。该研究以丹参为研究对象，使用0.3%、0.4%的甲基磺酸乙酯（EMS）溶液处理6 000粒丹参种子12 h，经无性扩繁后获得M2代诱变群体，并统计表型性状分析表型突变类型及突变率。将表型性状指标与药用成分的评价指标结合，组成包括鲜重、干重、总活性化合物含量、丹参酮总量、丹酚酸总量、二氢丹参酮含量、隐丹参酮含量、丹参酮I含量、丹参酮IIA含量，丹酚酸B含量、迷迭香酸含量11个指标的评价体系。以熵权法计算11个评价指标的权重，再结合GRA-TOPSIS法建立诱变丹参的质量评价模型，综合考察254个丹参株系的质量，进一步筛选出优良突变株。结果表明：（1）通过EMS诱变获得M2代丹参突变株系227个，共观察到8种表型变异，总变异率为21.59%；（2）通过GRA-TOPSIS法对M2代诱变丹参根部表型与药用成分含量进行综合分析，最终成功筛选出7个优良突变体株系。综上认为，该研究创制了丰富的丹参变异材料，为优良品种选育奠定了基础，同时验证了基于熵权法的GRA-TOPSIS法建立的质量评价模型可靠全面且方便有效，可用于诱变丹参株系的质量评价和优良突变体筛选。 |
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| DOI：10.11931/guihaia.gxzw202508011 |
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ZHOU Shengfei1, SONG Wangting1, SUN Liangshuai1, CHEN Wandi1,2, DONG Juane1,2, CHEN Kunming1,2*
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1. North West Agriculture and Forestry University, College of Life Sciences, State Key Laboratory for Crop Stress Resistance and High-Efficency Production, Shaanxi Xianyang 712700, China; 2. North West Agriculture and Forestry University, Ankang Medicinal Plants Experimental Demonstration Station, Shaanxi Ankang 725000, China
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| Abstract: |
| This study aimed to enrich the germplasm resources of Salvia miltiorrhiza, establish a robust quality evaluation model, and develop novel cultivars with superior phenotypes. We treated 6,000 seeds with 0.3% and 0.4% ethyl methanesulfonate (EMS) for 12 hours. The M2 mutant population, obtained through subsequent asexual propagation, was phenotypically characterized to determine mutation types and frequency. An comprehensive evaluation system was constructed by integrating key phenotypic traits and phytochemical components. This system comprised 11 indicators: fresh weight, dry weight, total active compound content, total tanshinone content, total salvianolic acid content, along with the individual contents of dihydrotanshinone, cryptotanshinone, tanshinone I, tanshinone IIA, salvianolic acid B, and rosmarinic acid. The entropy weight method was employed to calculate the weight of each indicator. A quality evaluation model was then established by integrating the Grey Relational Analysis and Technique for Order Preference by Similarity to Ideal Solution (GRA-TOPSIS) method, which was applied to comprehensively assess 254 mutant lines for the selection of superior individuals. The results were as follows: (1) EMS mutagenesis produced 227 M2 mutant lines, revealing eight distinct phenotypic variations with a total mutation rate of 21.59%. (2) Comprehensive analysis of root phenotypes and medicinal component contents using the GRA-TOPSIS method successfully identified seven superior mutant lines. In conclusion, this study successfully creates a diverse collection of mutant Salvia miltiorrhiza materials, laying a solid foundation for breeding elite cultivars. It also convincingly demonstrates that the entropy weight-based GRA-TOPSIS model provides a reliable, comprehensive, and effective tool for quality assessment and selection of high-quality mutants. |
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