Ancient DNA Laboratory, School of Biological Sciences and Biotechnology, Murdoch University, Perth, Western Australia, Australia.
PLoS One. 2011 Jan 31;6(1):e16670. doi: 10.1371/journal.pone.0016670.
We present the first set of microsatellite markers developed exclusively for an extinct taxon. Microsatellite data have been analysed in thousands of genetic studies on extant species but the technology can be problematic when applied to low copy number (LCN) DNA. It is therefore rarely used on substrates more than a few decades old. Now, with the primers and protocols presented here, microsatellite markers are available to study the extinct New Zealand moa (Aves: Dinornithiformes) and, as with single nucleotide polymorphism (SNP) technology, the markers represent a means by which the field of ancient DNA can (preservation allowing) move on from its reliance on mitochondrial DNA. Candidate markers were identified using high throughput sequencing technology (GS-FLX) on DNA extracted from fossil moa bone and eggshell. From the 'shotgun' reads, >60 primer pairs were designed and tested on DNA from bones of the South Island giant moa (Dinornis robustus). Six polymorphic loci were characterised and used to assess measures of genetic diversity. Because of low template numbers, typical of ancient DNA, allelic dropout was observed in 36-70% of the PCR reactions at each microsatellite marker. However, a comprehensive survey of allelic dropout, combined with supporting quantitative PCR data, allowed us to establish a set of criteria that maximised data fidelity. Finally, we demonstrated the viability of the primers and the protocols, by compiling a full Dinornis microsatellite dataset representing fossils of c. 600-5000 years of age. A multi-locus genotype was obtained from 74 individuals (84% success rate), and the data showed no signs of being compromised by allelic dropout. The methodology presented here provides a framework by which to generate and evaluate microsatellite data from samples of much greater antiquity than attempted before, and opens new opportunities for ancient DNA research.
我们首次为一个已灭绝的分类单元开发了微卫星标记。微卫星数据已在数千项关于现存物种的遗传研究中进行了分析,但该技术在应用于低拷贝数 (LCN) DNA 时可能会出现问题。因此,它很少用于超过几十年历史的样本。现在,通过这里呈现的引物和方案,可以获得研究已灭绝的新西兰恐鸟(鸟类:恐鸟目)的微卫星标记,与单核苷酸多态性 (SNP) 技术一样,这些标记代表了古老 DNA 领域(在保存允许的情况下)可以摆脱对线粒体 DNA 的依赖的一种手段。使用高通量测序技术 (GS-FLX) 在从化石恐鸟骨骼和蛋壳中提取的 DNA 上识别候选标记。从“霰弹枪”读取中,设计了>60 对引物并在南岛巨型恐鸟(Dinornis robustus)的骨骼 DNA 上进行了测试。六个多态性位点被表征并用于评估遗传多样性的度量。由于典型的古老 DNA 模板数量低,在每个微卫星标记的 PCR 反应中观察到 36-70%的等位基因丢失。然而,通过对等位基因丢失进行全面调查,并结合支持的定量 PCR 数据,我们能够建立一套最大限度提高数据保真度的标准。最后,我们通过编译代表 600-5000 年历史化石的完整恐鸟微卫星数据集,证明了引物和方案的可行性。从 74 个个体中获得了多基因座基因型(成功率为 84%),并且数据没有显示出因等位基因丢失而受到影响的迹象。这里提出的方法为从以前尝试过的更古老的样本中生成和评估微卫星数据提供了一个框架,并为古老 DNA 研究开辟了新的机会。