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Scrapheap Challenge: A novel bulk-bone metabarcoding method to investigate ancient DNA in faunal assemblages

机译:Scrapheap Challenge:研究动物群中古代DNA的新型大骨元条形码技术

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摘要

Highly fragmented and morphologically indistinct fossil bone is common in archaeological and paleontological deposits but unfortunately it is of little use in compiling faunal assemblages. The development of a cost-effective methodology to taxonomically identify bulk bone is therefore a key challenge. Here, an ancient DNA methodology using high-throughput sequencing is developed to survey and analyse thousands of archaeological bones from southwest Australia. Fossils were collectively ground together depending on which of fifteen stratigraphical layers they were excavated from. By generating fifteen synthetic blends of bulk bone powder, each corresponding to a chronologically distinct layer, samples could be collectively analysed in an efficient manner. A diverse range of taxa, including endemic, extirpated and hitherto unrecorded taxa, dating back to c.46,000 years BP was characterized. The method is a novel, cost-effective use for unidentifiable bone fragments and a powerful molecular tool for surveying fossils that otherwise end up on the taxonomic “scrapheap”.
机译:高度碎片化和形态上不清楚的化石骨骼在考古和古生物学沉积物中很常见,但不幸的是,它在汇编动物群时没有多大用处。因此,开发一种在分类学上识别大块骨的具有成本效益的方法是一项关键挑战。在这里,开发了使用高通量测序的古老DNA方法,以调查和分析澳大利亚西南部成千上万的考古骨骼。根据化石是从十五层地层中挖掘出来的,一起集体研磨的。通过生成15种散装骨粉的合成混合物,每种混合物对应于时间上不同的层,可以有效地对样品进行集体分析。各种各样的生物分类,包括地方性,已灭绝和迄今未记录的生物分类,其特征可追溯到BP约46,000年。该方法是一种新颖的,具有成本效益的方法,用于无法识别的骨碎片,是一种强大的分子工具,可用于对化石进行调查,否则这些化石最终会归类到“分类”中。

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