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首页> 外文期刊>Genetic Resources and Crop Evolution >AFLP fingerprinting of sesame (Sesamum indicum L.) cultivars: identification, genetic relationship and comparison of AFLP informativeness parameters
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AFLP fingerprinting of sesame (Sesamum indicum L.) cultivars: identification, genetic relationship and comparison of AFLP informativeness parameters

机译：芝麻AFLP指纹图谱的鉴定，遗传关系及AFLP信息性参数的比较

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Amplified fragments length polymorphism (AFLP) was used to distinguish 20 cultivars of sesame (Sesamum indicum L.) and to elucidate the genetic relationship among these genotypes. The data were also used to estimate the usefulness of parameters currently used to assess the informativeness of molecular markers. A total of 339 markers were obtained using 8 primer combinations. Of the bands, 91% were polymorphic. Five primer combinations were able to distinguish all 20 cultivars used. None of the remaining three primer combinations could distinguish all accessions if used alone, but using all three combinations reduced the probability of a random match to 5 × 10?5. Polymorphic information content (PIC), resolving power (Rp) and marker index (MI) of each primer combination failed to correlate significantly with the number of genotypes resolved. Jaccard’s similarity coefficients ranged from 0.31 to 0.78. Fifteen cultivars were grouped by four UPGMA-clusters supported by bootstrapping values larger than 0.70. The grouping pattern was similar to the grouping generated by principal coordinate analysis. The results demonstrated that AFLP-based fingerprints can be used to identify unequivocally sesame genotypes, which is needed for cultivar identification and for the assessment of the genetic variability of breeding stocks. We recommend to use the number of cultivars identified by a primer combination instead of PIC, Rp and MI; and to calculate the maximal, instead of average probability of identical match by chance in the assessment of the informativeness of a marker for cultivar identification.
机译：使用扩增片段长度多态性（AFLP）来区分20个芝麻品种（Sesamum indicum L.），并阐明这些基因型之间的遗传关系。数据还用于估计当前用于评估分子标记物信息性的参数的实用性。使用8个引物组合，总共获得339个标记。在这些带中，有91％是多态的。五个引物组合能够区分所有使用的20个品种。如果单独使用，其余三个引物组合均无法区分所有登录，但使用所有三个组合，则将随机匹配的可能性降低至5×10？5 。每种引物组合的多态信息含量（PIC），分辨力（Rp）和标记指数（MI）均与分辨的基因型数量无显着相关性。 Jaccard的相似系数在0.31到0.78之间。通过四个大于0.70的自举值支持的UPGMA群集将15个品种分组。分组模式类似于通过主坐标分析生成的分组。结果表明，基于AFLP的指纹可用于明确鉴定芝麻基因型，这对于品种鉴定和评估种畜的遗传变异性是必需的。我们建议使用通过引物组合鉴定的品种数量，而不是PIC，Rp和MI。并在评估用于鉴定品种的标记物的信息性时偶然地计算出相同匹配的最大概率，而不是平均概率。

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