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Design and Application of Microsatellite Marker Panels for Semiautomated Genotyping of Rice ( L.)

机译:水稻半自动基因分型的微卫星标记面板的设计与应用

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The objective of this study was to develop a systematic and flexible method for assembling multiplex simple sequence repeat (SSR) marker panels for high throughput genome analysis in rice, Oryza sativa, and to test these panels on a set of cultivated rice germplasm. To do this, 159 microsatellite markers were fluorescently labeled and assembled into 21 multiplex panels for semiautomated genotyping, providing genome-wide coverage of the 12 rice chromosomes. Panels are comprised of an average of eight markers each, occurring at approximately 11-centimorgan (cM) intervals throughout the genome. On a standard set of 13 genetically diverse cultivars of Oryza, these markers detected an average of five alleles per locus and had a mean polymorphism information content (P.I.C. value) of 0.67. Polymerase chain reactions (PCR) were optimized on a per marker basis to generate a uniform amount of PCR product and each primer pair was assessed in replicated trials for reliability of allele size estimates. T4 DNA polymerase was used to treat PCR products where the standard deviation of allele molecular weight was greater than 0.5 base pairs (bp). This treatment minimized the variance so that, in the multiplex set reported here, the average std. dev./marker was 0.24 bp, allowing accurate discrimination of alleles that differed by a single nucleotide. The resulting data on allele sizes were then entered into GeneFlow analysis software for the evaluation of polymorphism patterns among diverse rice cultivars. The use of an automated software tool for designing multiplex panels on the basis of both highly polymorphic and more conservative SSR markers resulted in the development of a highly informative semiautomated genotyping system for applications in rice genetics and breeding.
机译:这项研究的目的是开发一种系统的,灵活的方法来组装用于水稻,水稻的高通量基因组分析的多重简单序列重复(SSR)标记物组,并在一组栽培水稻种质上测试这些板。为此,对159个微卫星标记进行了荧光标记,并组装到21个多重面板中进行半自动基因分型,从而提供了12个水稻染色体的全基因组覆盖。各组平均由八个标记组成,它们在整个基因组中的间隔约为11厘摩(cM)。在一组标准的13个遗传多样性不同的Oryza品种上,这些标记每个位点平均检测到五个等位基因,平均多态性信息含量(P.I.C.值)为0.67。聚合酶链反应(PCR)在每个标记的基础上进行了优化,以生成均匀量的PCR产物,并且在重复试验中评估了每个引物对的等位基因大小估计值的可靠性。 T4 DNA聚合酶用于处理等位基因分子量标准偏差大于0.5个碱基对(bp)的PCR产物。这种处理使方差最小化,因此,在此处报告的多路复用集中,平均std。 dev./marker为0.24 bp,可以准确地区分一个核苷酸不同的等位基因。然后将所得等位基因大小的数据输入GeneFlow分析软件,以评估不同水稻品种之间的多态性模式。在高度多态和更保守的SSR标记的基础上,使用自动化软件工具设计多重面板的结果导致开发了高度信息化的半自动化基因分型系统,可用于水稻遗传和育种。

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