山东省30个苹果品种基因组重测序的SNP挖掘

N. Duan, Yumin Ma, Kun Wang, Xiaomu Wang, Xie Kun, Bai Jing, Yongyi Yang, Yan-yan Pu, Yongchao Gong
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引用次数: 0

摘要

本文对山东省栽培苹果进行了基因组重测序和SNP挖掘,以期对苹果品种进行快速鉴定、种质资源评价和利用。立即从每个样品的叶片中提取基因组DNA,按照制造商的说明,在Illumina Hiseq 4000平台上制备成对端Illumina基因组文库并进行测序。对31个苹果基因组进行重测序,共获得363 Gb的高质量清洗序列,平均每个加入12.5 Gb,约占苹果基因组覆盖率的15.9倍。数据量完全满足下游分析和SNP挖掘的需求。当我们使用核苷酸错配参数从1~12时,作图率逐渐增加到饱和。预测相关性极显著(p0.99)。配错率越大,映射精度越低;基因组覆盖率逐渐增加,杂合位点的准确性逐渐提高。在本研究中,两种算法被用于SNP挖掘。以“染色体+位点信息”为特征值,进一步取交集作为特征值,得到高可靠的单核苷酸变异数据集。共检测到374 404个SNP位点。平均1 896 bp可识别1个变异。桑格验证试验的准确率高达98.1%。注释分析表明,在373 763个snp中,25 047个(6.7%)位于基因编码区,143 269个(38.27%)位于基因间区,179 426个(47.92%)位于相应基因的上下游2 kb区域。编码区snp中,非同义变异13 422个,同义变异11 625个。非同义SNP与同义SNP的比例为1.15:1。利用过滤后的4DTV站点,采用邻域连接算法构建的种群聚类分析结果符合山东省栽培苹果的分类趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SNP Mining by Genome Resequencing of 30 Apple Varieties in Shandong Province
In this article, we carried out genome resequencing and SNP mining for cultivated apples in Shandong Province for the sake of the rapid identification of apple varieties, germplasm evaluation, and utilization. Genomic DNA was extracted immediately from leaves of each sample, and Paired-end Illumina genomic libraries were prepared and sequenced on an Illumina Hiseq 4 000 platform following the manufacturer's instructions. Resequencing of the 31 apple genomes generated a total of 363 Gb high-quality cleaned sequences, with an average of 12.5 Gb per accession that represented approximately 15.9x coverage of the apple genome. The data volume fully meets the needs of downstream analysis and SNP mining. When we used the nucleotide mismatch parameter from 1~12, the mapping rate gradually increased to saturation. There was a highly significant correlation (p<0.0001) between the total mapping rate, mapping rate of pair-end data, and mismatch parameter. Univariate fourth-order equation (regression coefficient r>0.99) were predicted. As the mismatch rate increases, the accuracy of mapping decreases; the genome coverage gradually increases, and heterozygous sites' accuracy gradually increases. In this study, two algorithms were used in SNP mining. The intersection was further taken based on the 'chromosome+site information' as the eigenvalues to obtain a highly reliable single nucleotide variant dataset. A total of 374 404 SNP locus were detected. On average, one variation can be identified from 1 896 bp. The accuracy of the Sanger verification test is as high as 98.1%. Annotation analysis shows that among the 373 763 SNPs, 25 047 (6.7%) are located in the gene coding region, 143 269 (38.27%) are located in the intergenic region, and 179 426 (47.92%) are located in the 2 kb region upstream or downstream of the corresponding genes. Among the coding region SNPs, 13 422 are non-synonymous, while 11 625 are synonymous variations. The ratio of non-synonymous to synonymous SNP is 1.15: 1. Using the filtered 4DTV sites, population clustering analysis results constructed using neighbor-joining algorithms are in line with the trend of the classification of cultivated apples in Shandong province.
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