Centre of Biotechnology, Siksha O Anusandhan University, Bhubaneswar 751003, India.
Biochem Genet. 2012 Aug;50(7-8):642-56. doi: 10.1007/s10528-012-9507-3. Epub 2012 May 10.
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 a 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 ≤ 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.
采用 15 种核苷酸结合位点（NBS）引物-酶组合进行功能基序定向分析，以鉴定和阐明姜科 15 个基因型的系统发育关系。我们共获得 167 条多态性带（24.85%），每种引物的平均多态性带数为 11.13 条。使用 MseI（26%）、RsaI（21%）和 AluI（28%）作为限制性内切酶，检测到平均多态性比率。每个 NBS 引物-酶组合的多态性信息量（PIC）范围为 0.48 至 0.76，平均值为 0.65。38 个 NBS 分析标记的 PIC 值范围为 0.3 至 0.6，显示出良好的区分基因型的能力。对同一组基因型的 NBS 分析与微卫星数据的比较显示，相关值为 0.78，P ≤ 0.001。我们的研究表明，如果针对具有功能相关变异的基因而不是随机标记进行遗传变异评估，可能会更有效。
