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Study of genetic diversity in rice ( Oryza sativa L.) cultivars of Central and Western Asia using microsatellite markers tightly linked to important quality and yield related traits
Genetic Resources and Crop Evolution ( IF 1.6 ) Pub Date : 2020-04-03 , DOI: 10.1007/s10722-020-00927-2
Alireza Tarang , Mojtaba Kordrostami , Abbas Shahdi Kumleh , Maryam Hosseini Chaleshtori , Amir Forghani Saravani , Milad Ghanbarzadeh , Majid Sattari

Rice (Oryza sativa L.) is the most important food source for more than half of the world’s population, so determining the best hybrid line to produce hybrids with high grain yield and high cooking quality is important for proper crosses. In this study, 60 microsatellite markers were used in 63 rice genotypes of Central and West Asia to group rice cultivars. Based on data from 60 markers, it was observed that a total of 252 polymorphic alleles were amplified with an average of 4.2 alleles per primer. The mean number of effective alleles was 3.78 which RM490 and RM5423 markers had the lowest and the RM225 and RM246 markers had the highest value for this index. Nei gene diversity and amount of polymorphic information content showed that RM23 and RM212 markers had the highest value and the RM3 marker had the lowest value for these two indices. Genetic similarity and distance between populations revealed that the genetic distance between studied populations ranged from 0.147 to 0.54, indicating high variation among genotypes of these populations. The results showed that the highest genetic distance was between Iran and Uzbekistan and the least distance was between Iran and Afghanistan. The classification of genotypes was performed by cluster analysis. Genotypes were classified into 5 clusters using the Dice similarity coefficient and UPGMA method. Based on the results of cluster analysis and genetic distances, genotypes of Iran, Turkey, and Uzbekistan can be used for hybrid production to increase grain yield and quality.



中文翻译:

利用与重要品质和产量相关性状紧密相关的微卫星标记研究中亚和西亚水稻(Oryza sativa L.)品种的遗传多样性

水稻(水稻是世界上一半以上人口最重要的食物来源,因此,确定最佳的杂交系以生产高谷物产量和高烹饪质量的杂交体对于正确杂交至关重要。在这项研究中,在中亚和西亚的63个水稻基因型中使用了60个微卫星标记来对水稻品种进行分组。根据来自60个标记的数据,观察到总共扩增了252个多态等位基因,每个引物平均有4.2个等位基因。有效等位基因的平均数为3.78,其中RM490和RM5423标记的最低,而RM225和RM246标记的最高。Nei基因多样性和多态性信息含量的数量表明,这两个指标的RM23和RM212标记值最高,而RM3标记的值最低。群体之间的遗传相似性和距离表明,研究群体之间的遗传距离介于0.147至0.54之间,表明这些群体的基因型之间存在很大差异。结果表明,遗传距离最高的是伊朗与乌兹别克斯坦之间,而最小的距离是伊朗与阿富汗之间。通过聚类分析对基因型进行分类。使用Dice相似系数和UPGMA方法将基因型分为5个簇。根据聚类分析和遗传距离的结果,可以将伊朗,土耳其和乌兹别克斯坦的基因型用于杂交生产,以提高谷物的产量和质量。表明这些人群的基因型差异很大。结果表明,遗传距离最高的是伊朗与乌兹别克斯坦之间,而最小的距离是伊朗与阿富汗之间。通过聚类分析对基因型进行分类。使用Dice相似系数和UPGMA方法将基因型分为5个簇。根据聚类分析和遗传距离的结果,可以将伊朗,土耳其和乌兹别克斯坦的基因型用于杂交生产,以提高谷物的产量和质量。表明这些人群的基因型差异很大。结果表明,遗传距离最高的是伊朗与乌兹别克斯坦之间,而最小的距离是伊朗与阿富汗之间。通过聚类分析对基因型进行分类。使用Dice相似系数和UPGMA方法将基因型分为5个簇。根据聚类分析和遗传距离的结果,可以将伊朗,土耳其和乌兹别克斯坦的基因型用于杂交生产,以提高谷物的产量和质量。使用Dice相似系数和UPGMA方法将基因型分为5个簇。根据聚类分析和遗传距离的结果,可以将伊朗,土耳其和乌兹别克斯坦的基因型用于杂交生产,以提高谷物的产量和质量。使用Dice相似系数和UPGMA方法将基因型分为5个簇。根据聚类分析和遗传距离的结果,可以将伊朗,土耳其和乌兹别克斯坦的基因型用于杂交生产,以提高谷物的产量和质量。

更新日期:2020-04-23
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