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大麦50k iSelect单核苷酸多态性(SNP)芯片的开发与评估

Development and Evaluation of a Barley 50k iSelect SNP Array.

作者信息

Bayer Micha M, Rapazote-Flores Paulo, Ganal Martin, Hedley Pete E, Macaulay Malcolm, Plieske Jörg, Ramsay Luke, Russell Joanne, Shaw Paul D, Thomas William, Waugh Robbie

机构信息

The James Hutton Institute, Dundee, United Kingdom.

TraitGenetics GmbH, Gatersleben, Germany.

出版信息

Front Plant Sci. 2017 Oct 17;8:1792. doi: 10.3389/fpls.2017.01792. eCollection 2017.

DOI:10.3389/fpls.2017.01792
PMID:29089957
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5651081/
Abstract

High-throughput genotyping arrays continue to be an attractive, cost-effective alternative to sequencing based approaches. We have developed a new 50k Illumina Infinium iSelect genotyping array for barley, a cereal crop species of major international importance. The majority of SNPs on the array have been extracted from variants called in exome capture data of a wide range of European barley germplasm. We used the recently published barley pseudomolecule assembly to map the exome capture data, which allowed us to generate markers with accurate physical positions and detailed gene annotation. Markers from an existing and widely used barley 9k Infinium iSelect array were carried over onto the 50k chip for backward compatibility. The array design featured 49,267 SNP markers that converted into 44,040 working assays, of which 43,461 were scorable in GenomeStudio. Of the working assays, 6,251 are from the 9k iSelect platform. We validated the SNPs by comparing the genotype calls from the new array to legacy datasets. Rates of agreement averaged 98.1 and 93.9% respectively for the legacy 9k iSelect SNP set (Comadran et al., 2012) and the exome capture SNPs. To test the utility of the 50k chip for genetic mapping, we genotyped a segregating population derived from a Golden Promise × Morex cross (Liu et al., 2014) and mapped over 14,000 SNPs to genetic positions which showed a near exact correspondence to their known physical positions. Manual adjustment of the cluster files used by the interpreting software for genotype scoring improved results substantially, but migration of cluster files between sites led to a deterioration of results, suggesting that local adjustment of cluster files is required on a site-per-site basis. Information relating to the markers on the chip is available online at https://ics.hutton.ac.uk/50k.

摘要

高通量基因分型阵列仍然是一种有吸引力的、具有成本效益的测序方法替代方案。我们为大麦(一种具有重要国际意义的谷类作物)开发了一种新的50k Illumina Infinium iSelect基因分型阵列。该阵列上的大多数单核苷酸多态性(SNP)已从广泛的欧洲大麦种质外显子捕获数据中鉴定出的变异中提取。我们使用最近发布的大麦假分子组装图谱来定位外显子捕获数据,这使我们能够生成具有准确物理位置和详细基因注释的标记。为了向后兼容,来自现有的、广泛使用的大麦9k Infinium iSelect阵列的标记被转移到50k芯片上。该阵列设计有49,267个SNP标记,可转换为44,040个有效检测,其中43,461个在GenomeStudio中可评分。在这些有效检测中,6,251个来自9k iSelect平台。我们通过将新阵列的基因型调用与传统数据集进行比较来验证SNP。对于传统的9k iSelect SNP集(Comadran等人,2012年)和外显子捕获SNP,一致性率分别平均为98.1%和93.9%。为了测试50k芯片在遗传图谱构建中的效用,我们对来自Golden Promise×Morex杂交(Liu等人,2014年)的一个分离群体进行了基因分型,并将超过14,000个SNP定位到遗传位置,这些位置与它们已知的物理位置显示出几乎精确的对应关系。手动调整用于基因型评分的解释软件所使用的聚类文件显著改善了结果,但聚类文件在不同站点之间的迁移导致结果变差,这表明需要在每个站点的基础上对聚类文件进行局部调整。芯片上标记的相关信息可在https://ics.hutton.ac.uk/50k在线获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd84/5651081/8d8e86dcbb9a/fpls-08-01792-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd84/5651081/97221134c6a2/fpls-08-01792-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd84/5651081/51d23212ccb7/fpls-08-01792-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd84/5651081/008fd31391c0/fpls-08-01792-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd84/5651081/74d316ca70ac/fpls-08-01792-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd84/5651081/b917dd85548f/fpls-08-01792-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd84/5651081/8d8e86dcbb9a/fpls-08-01792-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd84/5651081/97221134c6a2/fpls-08-01792-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd84/5651081/51d23212ccb7/fpls-08-01792-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd84/5651081/008fd31391c0/fpls-08-01792-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd84/5651081/74d316ca70ac/fpls-08-01792-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd84/5651081/b917dd85548f/fpls-08-01792-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd84/5651081/8d8e86dcbb9a/fpls-08-01792-g0006.jpg

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