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一个用于毛白杨的 34K SNP 基因分型芯片:设计、应用于自然种群研究及向其他杨属物种的可转移性。

A 34K SNP genotyping array for Populus trichocarpa: design, application to the study of natural populations and transferability to other Populus species.

机构信息

Department of Botany, University of British Columbia, Vancouver, BC, V6T1Z4, Canada.

出版信息

Mol Ecol Resour. 2013 Mar;13(2):306-23. doi: 10.1111/1755-0998.12056. Epub 2013 Jan 11.

DOI:10.1111/1755-0998.12056
PMID:23311503
Abstract

Genetic mapping of quantitative traits requires genotypic data for large numbers of markers in many individuals. For such studies, the use of large single nucleotide polymorphism (SNP) genotyping arrays still offers the most cost-effective solution. Herein we report on the design and performance of a SNP genotyping array for Populus trichocarpa (black cottonwood). This genotyping array was designed with SNPs pre-ascertained in 34 wild accessions covering most of the species latitudinal range. We adopted a candidate gene approach to the array design that resulted in the selection of 34 131 SNPs, the majority of which are located in, or within 2 kb of, 3543 candidate genes. A subset of the SNPs on the array (539) was selected based on patterns of variation among the SNP discovery accessions. We show that more than 95% of the loci produce high quality genotypes and that the genotyping error rate for these is likely below 2%. We demonstrate that even among small numbers of samples (n = 10) from local populations over 84% of loci are polymorphic. We also tested the applicability of the array to other species in the genus and found that the number of polymorphic loci decreases rapidly with genetic distance, with the largest numbers detected in other species in section Tacamahaca. Finally, we provide evidence for the utility of the array to address evolutionary questions such as intraspecific studies of genetic differentiation, species assignment and the detection of natural hybrids.

摘要

数量性状的遗传作图需要大量个体的大量标记的基因型数据。对于此类研究,使用大型单核苷酸多态性(SNP)基因分型阵列仍然是最具成本效益的解决方案。在此,我们报告了用于黑杨(黑杨)的 SNP 基因分型阵列的设计和性能。该基因分型阵列是根据涵盖物种大部分纬度范围的 34 个野生品系中预先确定的 SNP 设计的。我们采用候选基因方法进行阵列设计,从而选择了 34131 个 SNP,其中大多数位于 3543 个候选基因内或附近 2kb 范围内。根据 SNP 发现品系之间的变异模式,从数组中选择了一小部分 SNP(539 个)。我们表明,超过 95%的基因座产生高质量的基因型,并且这些基因座的基因分型错误率可能低于 2%。我们证明,即使在来自当地种群的少数样本(n = 10)中,也有超过 84%的基因座是多态的。我们还测试了该阵列在该属其他物种中的适用性,并发现多态性基因座的数量随着遗传距离的增加而迅速减少,在塔卡马卡部分的其他物种中检测到的数量最多。最后,我们提供了该阵列用于解决进化问题的证据,例如遗传分化的种内研究,物种归属和天然杂种的检测。

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