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利用测序RAD标记进行快速单核苷酸多态性发现和基因定位

Rapid SNP discovery and genetic mapping using sequenced RAD markers.

作者信息

Baird Nathan A, Etter Paul D, Atwood Tressa S, Currey Mark C, Shiver Anthony L, Lewis Zachary A, Selker Eric U, Cresko William A, Johnson Eric A

机构信息

Institute of Molecular Biology, University of Oregon, Eugene, Oregon, United States of America.

出版信息

PLoS One. 2008;3(10):e3376. doi: 10.1371/journal.pone.0003376. Epub 2008 Oct 13.

Abstract

Single nucleotide polymorphism (SNP) discovery and genotyping are essential to genetic mapping. There remains a need for a simple, inexpensive platform that allows high-density SNP discovery and genotyping in large populations. Here we describe the sequencing of restriction-site associated DNA (RAD) tags, which identified more than 13,000 SNPs, and mapped three traits in two model organisms, using less than half the capacity of one Illumina sequencing run. We demonstrated that different marker densities can be attained by choice of restriction enzyme. Furthermore, we developed a barcoding system for sample multiplexing and fine mapped the genetic basis of lateral plate armor loss in threespine stickleback by identifying recombinant breakpoints in F(2) individuals. Barcoding also facilitated mapping of a second trait, a reduction of pelvic structure, by in silico re-sorting of individuals. To further demonstrate the ease of the RAD sequencing approach we identified polymorphic markers and mapped an induced mutation in Neurospora crassa. Sequencing of RAD markers is an integrated platform for SNP discovery and genotyping. This approach should be widely applicable to genetic mapping in a variety of organisms.

摘要

单核苷酸多态性(SNP)的发现与基因分型对于遗传图谱构建至关重要。目前仍需要一个简单、廉价的平台,以便在大群体中进行高密度SNP发现与基因分型。在此,我们描述了限制性内切酶位点相关DNA(RAD)标签测序,该方法识别出了超过13000个SNP,并在两种模式生物中定位了三个性状,所用测序能力不到一次Illumina测序运行能力的一半。我们证明,通过选择限制性内切酶可以获得不同的标记密度。此外,我们开发了一种用于样本多重分析的条形码系统,并通过识别F2个体中的重组断点,精细定位了三刺鱼侧板甲缺失的遗传基础。条形码技术还通过对个体进行计算机重排,促进了第二个性状(骨盆结构减少)的定位。为了进一步证明RAD测序方法的简便性,我们在粗糙脉孢菌中鉴定了多态性标记并定位了一个诱导突变。RAD标记测序是一个用于SNP发现与基因分型的综合平台。这种方法应广泛适用于各种生物的遗传图谱构建。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b12/2557064/3b3ea9346971/pone.0003376.g001.jpg

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