Akebia trifoliata （Thunb.） Koidz is an important medicinal plant and important fruit tree resource to be developed in China. This article mainly intro- duced the research advance in the botanical characteristics, nu...Akebia trifoliata （Thunb.） Koidz is an important medicinal plant and important fruit tree resource to be developed in China. This article mainly intro- duced the research advance in the botanical characteristics, nutrition and medicinal value, further development and utilization of A. trifoliata, and the developing orientation of A. trifoliata in the future.展开更多
A nonasaccharide saponin, new hederagenin saponin, had been isolated from the bark of Kalopanax septemlobus (Thunb.) Koidz., and its structure was elucidated by HRESI-MS, NMR experi- ments and chemical analyses as 3...A nonasaccharide saponin, new hederagenin saponin, had been isolated from the bark of Kalopanax septemlobus (Thunb.) Koidz., and its structure was elucidated by HRESI-MS, NMR experi- ments and chemical analyses as 3-O-β-D-xylopyranosyl-(1→4)-β-D-xylopyranosyl-(1→3)-α-L-rhamno- pyranosyl-(1→2)-α-L-arabinopyranosyl hederagenin 28-O-β-D-xylopyranosyl-(1→3)-β-D–xylopyra- nosyl-(1→2)-[α-L-rhamnopyranosyl-(1→4)-β-D-glucopyranosyl-(1→6)]-β-D-glucopyranoside.展开更多
[Objectives]To optimize extraction process of total flavonoids from Akebia trifoliata( Thunb.) Koidz.,so as to provide references for development and use of Akebia trifoliata( Thunb.) Koidz. [Methods]The extraction ra...[Objectives]To optimize extraction process of total flavonoids from Akebia trifoliata( Thunb.) Koidz.,so as to provide references for development and use of Akebia trifoliata( Thunb.) Koidz. [Methods]The extraction rate of total flavonoids of Akebia trifoliata( Thunb.)Koidz. was taken as observation indicator. On the basis of single factor experiment,central composite design( CCD) was used to evaluate the effects of the extraction temperature,extraction time,and ethanol concentration on the extraction process. Multiple linear regression and binomial fitting were used,and response surface methodology( RSM) was used to select the optimum extraction process. [Results] The optimum extraction process conditions for total flavonoids of Akebia trifoliata( Thunb.) Koidz. was extraction temperature: 83. 92 ℃; extraction time:96. 47 min; ethanol concentration: 63. 92%; extraction times: two times; solid to liquid ratio: 1 ∶ 20; extraction rate of total flavonoids:4. 55%. [Conclusions] The central composite design-response surface methodology( CCD-RSM) is simple,convenient,and feasible for extraction of total flavonoids from Akebia trifoliata( Thunb.) Koidz.,and the prediction results are reliable.展开更多
为分析北苍术种质资源的遗传多样性,以16个居群158份北苍术种质为研究对象,分析13个表型性状的变异系数、多样性指数,并对其进行相关性分析、主成分分析和聚类分析;利用SSR分子标记进行遗传多样性分析,用Structure 2.3.4软件解析群体遗...为分析北苍术种质资源的遗传多样性,以16个居群158份北苍术种质为研究对象,分析13个表型性状的变异系数、多样性指数,并对其进行相关性分析、主成分分析和聚类分析;利用SSR分子标记进行遗传多样性分析,用Structure 2.3.4软件解析群体遗传结构。结果表明,158份北苍术种质的13个表型性状的变异系数为0.63%~89.54%,其中茎数的变异系数最大;Shannon-Wiener多样性指数(H)为0.58~2.95,其中主茎粗的多样性指数最高。相关性分析发现,13个表型性状间存在一定相关性,其中株高与主茎粗、叶长、叶宽、茎数、冠幅呈显著正相关(P<0.05)。主成分分析发现,叶宽、冠幅、茎数、倒伏情况、开花时期和叶色是影响北苍术表型性状差异的关键指标。基于13个表型性状聚类分析将158份北苍术种质划分为3个类群。17对SSR核心引物共扩增出128条多态性条带,多态率达88.56%;Nei’s基因多样性指数(h)、Shannon’s信息指数(I)和多态信息量分别为0.03~0.41、0.29~0.60和0.30~0.86;基于17对SSR分子标记,利用UPGMA(unweighted pair group method with arithmetic mean)法将158份北苍术种质划分为3个类群。Structure群体结构分析表明,158份种质划分为3个类群,其中10份种质为混合群体,遗传背景较为复杂。综合分析发现,158份北苍术种质基于表型和SSR标记聚类划分一致的有60份种质,其中20份种质亲缘关系较近,表明地理来源对北苍术种质资源类群划分有一定影响,但不是决定性因素。以上研究结果为北苍术种质资源鉴定与优良种质筛选提供了理论参考。展开更多
文摘Akebia trifoliata （Thunb.） Koidz is an important medicinal plant and important fruit tree resource to be developed in China. This article mainly intro- duced the research advance in the botanical characteristics, nutrition and medicinal value, further development and utilization of A. trifoliata, and the developing orientation of A. trifoliata in the future.
文摘A nonasaccharide saponin, new hederagenin saponin, had been isolated from the bark of Kalopanax septemlobus (Thunb.) Koidz., and its structure was elucidated by HRESI-MS, NMR experi- ments and chemical analyses as 3-O-β-D-xylopyranosyl-(1→4)-β-D-xylopyranosyl-(1→3)-α-L-rhamno- pyranosyl-(1→2)-α-L-arabinopyranosyl hederagenin 28-O-β-D-xylopyranosyl-(1→3)-β-D–xylopyra- nosyl-(1→2)-[α-L-rhamnopyranosyl-(1→4)-β-D-glucopyranosyl-(1→6)]-β-D-glucopyranoside.
基金Supported by Key Scientific and Technological Planning Project of Guangxi(Gui Ke Neng 10100027-4)
文摘[Objectives]To optimize extraction process of total flavonoids from Akebia trifoliata( Thunb.) Koidz.,so as to provide references for development and use of Akebia trifoliata( Thunb.) Koidz. [Methods]The extraction rate of total flavonoids of Akebia trifoliata( Thunb.)Koidz. was taken as observation indicator. On the basis of single factor experiment,central composite design( CCD) was used to evaluate the effects of the extraction temperature,extraction time,and ethanol concentration on the extraction process. Multiple linear regression and binomial fitting were used,and response surface methodology( RSM) was used to select the optimum extraction process. [Results] The optimum extraction process conditions for total flavonoids of Akebia trifoliata( Thunb.) Koidz. was extraction temperature: 83. 92 ℃; extraction time:96. 47 min; ethanol concentration: 63. 92%; extraction times: two times; solid to liquid ratio: 1 ∶ 20; extraction rate of total flavonoids:4. 55%. [Conclusions] The central composite design-response surface methodology( CCD-RSM) is simple,convenient,and feasible for extraction of total flavonoids from Akebia trifoliata( Thunb.) Koidz.,and the prediction results are reliable.
文摘为分析北苍术种质资源的遗传多样性,以16个居群158份北苍术种质为研究对象,分析13个表型性状的变异系数、多样性指数,并对其进行相关性分析、主成分分析和聚类分析;利用SSR分子标记进行遗传多样性分析,用Structure 2.3.4软件解析群体遗传结构。结果表明,158份北苍术种质的13个表型性状的变异系数为0.63%~89.54%,其中茎数的变异系数最大;Shannon-Wiener多样性指数(H)为0.58~2.95,其中主茎粗的多样性指数最高。相关性分析发现,13个表型性状间存在一定相关性,其中株高与主茎粗、叶长、叶宽、茎数、冠幅呈显著正相关(P<0.05)。主成分分析发现,叶宽、冠幅、茎数、倒伏情况、开花时期和叶色是影响北苍术表型性状差异的关键指标。基于13个表型性状聚类分析将158份北苍术种质划分为3个类群。17对SSR核心引物共扩增出128条多态性条带,多态率达88.56%;Nei’s基因多样性指数(h)、Shannon’s信息指数(I)和多态信息量分别为0.03~0.41、0.29~0.60和0.30~0.86;基于17对SSR分子标记,利用UPGMA(unweighted pair group method with arithmetic mean)法将158份北苍术种质划分为3个类群。Structure群体结构分析表明,158份种质划分为3个类群,其中10份种质为混合群体,遗传背景较为复杂。综合分析发现,158份北苍术种质基于表型和SSR标记聚类划分一致的有60份种质,其中20份种质亲缘关系较近,表明地理来源对北苍术种质资源类群划分有一定影响,但不是决定性因素。以上研究结果为北苍术种质资源鉴定与优良种质筛选提供了理论参考。
