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Gene Expression Prediction and Hierarchical Clustering Analysis of Plant CCD genes

机译:植物CCD基因的基因表达预测和层次聚类分析

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Plant carotenoid cleavage dioxygenase (CCD) catalyses the formation of industrially important apocarotenoids. Here, we applied codon-based classification for 72 CCD genes from 35 plant species using hierarchical clustering analysis. The codon adaptation index (CAI) and relative codon bias (RCB) were utilized to estimate the level of gene expression. The codon-based cluster tree result shows neatly clustered subclass of CCD genes except BoCCD1 gene of Bixa orellana. Correlation analysis of CAI values with RCB indicates an overall low-level expression of CCD across different species. Similarly, the closeness in the codon cluster with same CAI values was not reflected in 3-D structural report of selected CCD genes. These finding not only enhances our insights into the classification of CCD gene across the species but also identifies the critical factors responsible for this variation, which could aid in prediction of gene expression and function for newly reported CCD genes.
机译:植物类胡萝卜素裂解双加氧酶(CCD)催化工业上重要的类胡萝卜素的形成。在这里,我们使用分级聚类分析对35种植物的72种CCD基因进行了基于密码子的分类。使用密码子适应指数(CAI)和相对密码子偏倚(RCB)来估计基因表达水平。基于密码子的聚类树结果显示,除Bixa orellana的BoCCD1基因外,CCD基因的亚类整齐地聚类。 CAI值与RCB的相关性分析表明CCD在不同物种之间总体上呈低水平表达。同样,具有相同CAI值的密码子簇中的紧密性也没有反映在所选CCD基因的3-D结构报告中。这些发现不仅增强了我们对整个物种的CCD基因分类的认识,而且还确定了造成这种变异的关键因素,这可能有助于预测新报道的CCD基因的基因表达和功能。

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