首页> 外文期刊>Theoretical and Applied Genetics: International Journal of Breeding Research and Cell Genetics >Effects of ascertainment bias and marker number on estimations of barley diversity from high-throughput SNP genotype data
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Effects of ascertainment bias and marker number on estimations of barley diversity from high-throughput SNP genotype data

机译:确定性偏倚和标志物数量对高通量SNP基因型数据估计大麦多样性的影响

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The capability of molecular markers to provide information of genetic structure is influenced by their number and the way they are chosen. This study evaluates the effects of single nucleotide polymorphism (SNP) number and selection strategy on estimates of germplasm diversity and population structure for different types of barley germplasm, namely cultivar and landrace. One hundred and sixty-nine barley landraces from Syria and Jordan and 171 European barley cultivars were genotyped with 1536 SNPs. Different subsets of 384 and 96 SNPs were selected from the 1536 set, based on their ability to detect diversity in landraces or cultivated barley in addition to corresponding randomly chosen subsets. All SNP sets except the landrace-optimised subsets underestimated the diversity present in the landrace germplasm, and all subsets of SNP gave similar estimates for cultivar germplasm. All marker subsets gave qualitatively similar estimates of the population structure in both germplasm sets, but the 96 SNP sets showed much lower data resolution values than the larger SNP sets. From these data we deduce that pre-selecting markers for their diversity in a germplasm set is very worthwhile in terms of the quality of data obtained. Second, we suggest that a properly chosen 384 SNP subset gives a good combination of power and economy for germplasm characterization, whereas the rather modest gain from using 1536 SNPs does not justify the increased cost and 96 markers give unacceptably low performance. Lastly, we propose a specific 384 SNP subset as a standard genotyping tool for middle-eastern landrace barley.
机译:分子标记提供遗传结构信息的能力受其数量和选择方式的影响。本研究评估了单核苷酸多态性(SNP)数量和选择策略对不同类型大麦种质(即品种和地方品种)的种质多样性和种群结构估计的影响。对来自叙利亚和约旦的169个大麦地方品种和171个欧洲大麦品种进行了1536个SNP的基因分型。从1536组中选择了384和96个SNP的不同子集,这是基于它们除了检测随机选择的子集之外,还可以检测地方品种或栽培大麦中的多样性。除本地品种优化的子集外,所有SNP集均低估了本地种质中存在的多样性,而SNP的所有子集均对栽培种质给出了相似的估计。在两个种质集中,所有标记子集都给出了种群结构的定性相似估计,但是96个SNP集显示的数据分辨率值比较大SNP集低得多。从这些数据中我们推断出,就获得的数据质量而言,为它们在种质集中的多样性预先选择标记是非常值得的。其次,我们建议正确选择384个SNP子集可以很好地结合力量和经济性来进行种质鉴定,而使用1536个SNP得来的适度收益并不能证明增加的成本,而96个标记的表现却令人无法接受。最后,我们提出了一个特定的384 SNP子集,作为中东地方大麦的标准基因分型工具。

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