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Assessment of genetic diversity in Zingiberaceae through nucleotide binding site-based motif-directed profiling

机译:通过基于核苷酸结合位点的基序定向分析评估姜科的遗传多样性

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Functional motif-directed profiling was performed with 15 nucleotide binding site (NBS) primer-enzyme combinations to identify and elucidate the phylogenetic relationships among 15 genotypes of the family Zingiberaceae. We retrieved 167 polymorphic bands (24.85 %), with an average of 11.13 bands per primer. Mean polymorphism rates were detected using MseI (26 %), RsaI (21 %), and AluI (28 %) as restriction enzymes. The polymorphism information content (PIC) for each NBS primer-enzyme combination ranged from 0.48 to 0.76 with mean value of 0.65. The 38 NBS profiling markers had PIC values ranging from 0.3 to 0.6 and exhibited good power to discriminate between genotypes. Comparison of NBS profiling with microsatellite data for the same set of genotypes exhibited a correlation value of 0.78, P B 0.001. Our study suggests that genetic variability assessment could be more efficient if it targeted genes that exhibit functionally relevant variation, rather than random markers.
机译:用15个核苷酸结合位点(NBS)引物-酶组合进行功能性基序导向的分析,以鉴定和阐明姜科15种基因型之间的系统发育关系。我们检索了167条多态性条带(24.85%),每个引物平均具有11.13条条带。使用MseI(26%),RsaI(21%)和AluI(28%)作为限制酶检测平均多态性率。每个NBS引物-酶组合的多态信息含量(PIC)为0.48至0.76,平均值为0.65。 38个NBS谱图标记的PIC值在0.3到0.6之间,并具有很好的区分基因型的能力。对于同一组基因型,将NBS分析与微卫星数据进行比较,结果显示相关值为0.78,P B为0.001。我们的研究表明,如果遗传变异性评估针对的是表现出功能相关变异的基因,而不是随机标记,那么它可能会更有效。

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