Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.
Globe institute, University of Copenhagen, Copenhagen, Denmark.
Nat Commun. 2022 May 5;13(1):2458. doi: 10.1038/s41467-022-30097-x.
Species determination based on genetic evidence is an indispensable tool in archaeology, forensics, ecology, and food authentication. Most available analytical approaches involve compromises with regard to the number of detectable species, high cost due to low throughput, or a labor-intensive manual process. Here, we introduce "Species by Proteome INvestigation" (SPIN), a shotgun proteomics workflow for analyzing archaeological bone capable of querying over 150 mammalian species by liquid chromatography-tandem mass spectrometry (LC-MS/MS). Rapid peptide chromatography and data-independent acquisition (DIA) with throughput of 200 samples per day reduce expensive MS time, whereas streamlined sample preparation and automated data interpretation save labor costs. We confirm the successful classification of known reference bones, including domestic species and great apes, beyond the taxonomic resolution of the conventional peptide mass fingerprinting (PMF)-based Zooarchaeology by Mass Spectrometry (ZooMS) method. In a blinded study of degraded Iron-Age material from Scandinavia, SPIN produces reproducible results between replicates, which are consistent with morphological analysis. Finally, we demonstrate the high throughput capabilities of the method in a high-degradation context by analyzing more than two hundred Middle and Upper Palaeolithic bones from Southern European sites with late Neanderthal occupation. While this initial study is focused on modern and archaeological mammalian bone, SPIN will be open and expandable to other biological tissues and taxa.
基于遗传证据的物种鉴定是考古学、法医学、生态学和食品鉴定中不可或缺的工具。大多数现有的分析方法在可检测物种的数量、由于低通量而导致的高成本,或劳动密集型的手动过程方面存在妥协。在这里,我们介绍了“基于蛋白质组学调查的物种鉴定”(SPIN),这是一种用于分析考古骨骼的 shotgun 蛋白质组学工作流程,通过液相色谱-串联质谱(LC-MS/MS)能够查询超过 150 种哺乳动物物种。快速的肽色谱和数据非依赖性采集(DIA)具有每天 200 个样本的高通量,可以减少昂贵的 MS 时间,而简化的样品制备和自动化的数据解释则节省了劳动力成本。我们确认了成功分类已知参考骨骼,包括家养物种和大猿类,超出了传统肽质量指纹图谱(PMF)基于质谱的动物考古学(ZooMS)方法的分类分辨率。在对斯堪的纳维亚铁器时代退化材料的盲法研究中,SPIN 在重复之间产生可重复的结果,与形态分析一致。最后,我们通过分析来自南欧遗址的具有晚期尼安德特人居住的两百多块中石器时代和旧石器时代的骨骼,证明了该方法在高降解背景下的高通量能力。虽然这项初步研究集中在现代和考古哺乳动物骨骼上,但 SPIN 将是开放和可扩展到其他生物组织和分类群的。