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Application of Molecular Markers in Predicting Production Quality ofCultivated Cistanche deserticola

机译:分子标记在预测肉Ci蓉生产质量中的应用

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摘要

We developed a set of molecular markers in Cistanche deserticola Y. C. MA to evaluate the production qual-ity of cultivated C. deserticola individuals. This application utilizes the inter-simple-sequence repeat (ISSR) poly-merase chain reaction (PCR) and random amplified polymorphic DNA (RAPD) PCR as molecular markers todetermine the echinacoside content in cultivated C. deserticola individuals. The unweighted pair-group methodusing arithmetic average clustering (UPGMA) confirmed that the combined ISSR and RAPD data could catego-rize all C. deserticola individuals into three groups according to their respective echinacoside content. The step-wise multiple regression analysis (SMRA) revealed six potential markers associated with echinacoside accumula-tion in C. deserticola and produced 18 echinacoside-marker prediction models, four of which were successfullyused to predict the quality of C. deserticola from Neimenggu. Both clustering and SMRA showed a correlationbetween the echinacoside content and molecular markers in cultivated C. deserticola. The relative average devia-tion of prediction (RADP) of the prediction models could be improved by simplifying and adjusting the model. Itwas found that the RADP value could reach 2.6% after adjustment and the simplified prediction models couldsuccessfully predict the quality of cultivated C. deserticola individuals.
机译:我们在肉Ci蓉肉developed中开发了一套分子标记,以评估栽培的沙漠desert肉个体的生产质量。此应用程序利用简单序列间重复(ISSR)聚合酶链反应(PCR)和随机扩增多态性DNA(RAPD)PCR作为分子标记来确定栽培的C. deserticola个体中的紫锥花苷含量。使用算术平均聚类(UPGMA)的非加权成对组方法证实,结合ISSR和RAPD数据可以将所有C. deserticola个体根据其各自的紫锥花苷含量分类为三类。逐步多元回归分析(SMRA)显示了与沙漠果中的紫锥花苷积累相关的六个潜在标记,并生成了18个洋地精苷标记预测模型,其中四个已成功用于从内蒙古地区预测沙漠果的质量。聚类和SMRA均显示了栽培的沙漠芥中紫锥菊苷含量与分子标记之间的相关性。可以通过简化和调整模型来改善预测模型的相对平均预测偏差(RADP)。研究发现,调整后的RADP值可以达到2.6%,简化的预测模型可以成功预测出栽培的C. deserticola个体的质量。

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