Tian Hong-Li, Wang Feng-Ge, Zhao Jiu-Ran, Yi Hong-Mei, Wang Lu, Wang Rui, Yang Yang, Song Wei
Maize Research Center, Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Beijing Academy of Agriculture and Forestry Sciences, Shuguang Garden Middle Road No. 9, Beijing, 100097 China.
Mol Breed. 2015;35(6):136. doi: 10.1007/s11032-015-0335-0. Epub 2015 May 31.
Single nucleotide polymorphisms (SNPs) are abundant and evenly distributed throughout the maize ( L.) genome. SNPs have several advantages over simple sequence repeats, such as ease of data comparison and integration, high-throughput processing of loci, and identification of associated phenotypes. SNPs are thus ideal for DNA fingerprinting, genetic diversity analysis, and marker-assisted breeding. Here, we developed a high-throughput and compatible SNP array, maizeSNP3072, containing 3072 SNPs developed from the maizeSNP50 array. To improve genotyping efficiency, a high-quality cluster file, maizeSNP3072_GT.egt, was constructed. All 3072 SNP loci were localized within different genes, where they were distributed in exons (43 %), promoters (21 %), 3' untranslated regions (UTRs; 22 %), 5' UTRs (9 %), and introns (5 %). The average genotyping failure rate using these SNPs was only 6 %, or 3 % using the cluster file to call genotypes. The genotype consistency of repeat sample analysis on Illumina GoldenGate versus Infinium platforms exceeded 96.4 %. The minor allele frequency (MAF) of the SNPs averaged 0.37 based on data from 309 inbred lines. The 3072 SNPs were highly effective for distinguishing among 276 examined hybrids. Comparative analysis using Chinese varieties revealed that the 3072SNP array showed a better marker success rate and higher average MAF values, evaluation scores, and variety-distinguishing efficiency than the maizeSNP50K array. The maizeSNP3072 array thus can be successfully used in DNA fingerprinting identification of Chinese maize varieties and shows potential as a useful tool for germplasm resource evaluation and molecular marker-assisted breeding.
单核苷酸多态性(SNPs)在玉米(L.)基因组中丰富且均匀分布。与简单序列重复相比,SNPs具有多个优势,如数据比较和整合容易、位点的高通量处理以及相关表型的鉴定。因此,SNPs是DNA指纹识别、遗传多样性分析和标记辅助育种的理想选择。在此,我们开发了一种高通量且兼容的SNP芯片,即包含从maizeSNP50芯片开发而来的3072个SNPs的maizeSNP3072。为提高基因分型效率,构建了一个高质量的聚类文件maizeSNP3072_GT.egt。所有3072个SNP位点均定位在不同基因内,它们在外显子(43%)、启动子(21%)、3'非翻译区(UTRs;22%)、5' UTRs(9%)和内含子(5%)中分布。使用这些SNPs的平均基因分型失败率仅为6%,使用聚类文件进行基因型调用时为3%。Illumina GoldenGate平台与Infinium平台上重复样本分析的基因型一致性超过96.4%。基于309个自交系的数据,这些SNPs的次要等位基因频率(MAF)平均为0.37。这3072个SNPs在区分276个检测杂交种方面非常有效。对中国品种的比较分析表明,与maizeSNP50K芯片相比,3072SNP芯片显示出更好的标记成功率、更高的平均MAF值、评估分数和品种区分效率。因此,maizeSNP3072芯片可成功用于中国玉米品种的DNA指纹识别鉴定,并显示出作为种质资源评估和分子标记辅助育种有用工具的潜力。